[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"similar-kyrolabs--awesome-langchain":3,"tool-kyrolabs--awesome-langchain":64},[4,17,27,35,44,52],{"id":5,"name":6,"github_repo":7,"description_zh":8,"stars":9,"difficulty_score":10,"last_commit_at":11,"category_tags":12,"status":16},3808,"stable-diffusion-webui","AUTOMATIC1111\u002Fstable-diffusion-webui","stable-diffusion-webui 是一个基于 Gradio 构建的网页版操作界面，旨在让用户能够轻松地在本地运行和使用强大的 Stable Diffusion 图像生成模型。它解决了原始模型依赖命令行、操作门槛高且功能分散的痛点，将复杂的 AI 绘图流程整合进一个直观易用的图形化平台。\n\n无论是希望快速上手的普通创作者、需要精细控制画面细节的设计师，还是想要深入探索模型潜力的开发者与研究人员，都能从中获益。其核心亮点在于极高的功能丰富度：不仅支持文生图、图生图、局部重绘（Inpainting）和外绘（Outpainting）等基础模式，还独创了注意力机制调整、提示词矩阵、负向提示词以及“高清修复”等高级功能。此外，它内置了 GFPGAN 和 CodeFormer 等人脸修复工具，支持多种神经网络放大算法，并允许用户通过插件系统无限扩展能力。即使是显存有限的设备，stable-diffusion-webui 也提供了相应的优化选项，让高质量的 AI 艺术创作变得触手可及。",162132,3,"2026-04-05T11:01:52",[13,14,15],"开发框架","图像","Agent","ready",{"id":18,"name":19,"github_repo":20,"description_zh":21,"stars":22,"difficulty_score":23,"last_commit_at":24,"category_tags":25,"status":16},1381,"everything-claude-code","affaan-m\u002Feverything-claude-code","everything-claude-code 是一套专为 AI 编程助手（如 Claude Code、Codex、Cursor 等）打造的高性能优化系统。它不仅仅是一组配置文件，而是一个经过长期实战打磨的完整框架，旨在解决 AI 代理在实际开发中面临的效率低下、记忆丢失、安全隐患及缺乏持续学习能力等核心痛点。\n\n通过引入技能模块化、直觉增强、记忆持久化机制以及内置的安全扫描功能，everything-claude-code 能显著提升 AI 在复杂任务中的表现，帮助开发者构建更稳定、更智能的生产级 AI 代理。其独特的“研究优先”开发理念和针对 Token 消耗的优化策略，使得模型响应更快、成本更低，同时有效防御潜在的攻击向量。\n\n这套工具特别适合软件开发者、AI 研究人员以及希望深度定制 AI 工作流的技术团队使用。无论您是在构建大型代码库，还是需要 AI 协助进行安全审计与自动化测试，everything-claude-code 都能提供强大的底层支持。作为一个曾荣获 Anthropic 黑客大奖的开源项目，它融合了多语言支持与丰富的实战钩子（hooks），让 AI 真正成长为懂上",140436,2,"2026-04-05T23:32:43",[13,15,26],"语言模型",{"id":28,"name":29,"github_repo":30,"description_zh":31,"stars":32,"difficulty_score":23,"last_commit_at":33,"category_tags":34,"status":16},2271,"ComfyUI","Comfy-Org\u002FComfyUI","ComfyUI 是一款功能强大且高度模块化的视觉 AI 引擎，专为设计和执行复杂的 Stable Diffusion 图像生成流程而打造。它摒弃了传统的代码编写模式，采用直观的节点式流程图界面，让用户通过连接不同的功能模块即可构建个性化的生成管线。\n\n这一设计巧妙解决了高级 AI 绘图工作流配置复杂、灵活性不足的痛点。用户无需具备编程背景，也能自由组合模型、调整参数并实时预览效果，轻松实现从基础文生图到多步骤高清修复等各类复杂任务。ComfyUI 拥有极佳的兼容性，不仅支持 Windows、macOS 和 Linux 全平台，还广泛适配 NVIDIA、AMD、Intel 及苹果 Silicon 等多种硬件架构，并率先支持 SDXL、Flux、SD3 等前沿模型。\n\n无论是希望深入探索算法潜力的研究人员和开发者，还是追求极致创作自由度的设计师与资深 AI 绘画爱好者，ComfyUI 都能提供强大的支持。其独特的模块化架构允许社区不断扩展新功能，使其成为当前最灵活、生态最丰富的开源扩散模型工具之一，帮助用户将创意高效转化为现实。",107662,"2026-04-03T11:11:01",[13,14,15],{"id":36,"name":37,"github_repo":38,"description_zh":39,"stars":40,"difficulty_score":10,"last_commit_at":41,"category_tags":42,"status":16},4292,"Deep-Live-Cam","hacksider\u002FDeep-Live-Cam","Deep-Live-Cam 是一款专注于实时换脸与视频生成的开源工具，用户仅需一张静态照片，即可通过“一键操作”实现摄像头画面的即时变脸或制作深度伪造视频。它有效解决了传统换脸技术流程繁琐、对硬件配置要求极高以及难以实时预览的痛点，让高质量的数字内容创作变得触手可及。\n\n这款工具不仅适合开发者和技术研究人员探索算法边界，更因其极简的操作逻辑（仅需三步：选脸、选摄像头、启动），广泛适用于普通用户、内容创作者、设计师及直播主播。无论是为了动画角色定制、服装展示模特替换，还是制作趣味短视频和直播互动，Deep-Live-Cam 都能提供流畅的支持。\n\n其核心技术亮点在于强大的实时处理能力，支持口型遮罩（Mouth Mask）以保留使用者原始的嘴部动作，确保表情自然精准；同时具备“人脸映射”功能，可同时对画面中的多个主体应用不同面孔。此外，项目内置了严格的内容安全过滤机制，自动拦截涉及裸露、暴力等不当素材，并倡导用户在获得授权及明确标注的前提下合规使用，体现了技术发展与伦理责任的平衡。",88924,"2026-04-06T03:28:53",[13,14,15,43],"视频",{"id":45,"name":46,"github_repo":47,"description_zh":48,"stars":49,"difficulty_score":23,"last_commit_at":50,"category_tags":51,"status":16},3704,"NextChat","ChatGPTNextWeb\u002FNextChat","NextChat 是一款轻量且极速的 AI 助手，旨在为用户提供流畅、跨平台的大模型交互体验。它完美解决了用户在多设备间切换时难以保持对话连续性，以及面对众多 AI 模型不知如何统一管理的痛点。无论是日常办公、学习辅助还是创意激发，NextChat 都能让用户随时随地通过网页、iOS、Android、Windows、MacOS 或 Linux 端无缝接入智能服务。\n\n这款工具非常适合普通用户、学生、职场人士以及需要私有化部署的企业团队使用。对于开发者而言，它也提供了便捷的自托管方案，支持一键部署到 Vercel 或 Zeabur 等平台。\n\nNextChat 的核心亮点在于其广泛的模型兼容性，原生支持 Claude、DeepSeek、GPT-4 及 Gemini Pro 等主流大模型，让用户在一个界面即可自由切换不同 AI 能力。此外，它还率先支持 MCP（Model Context Protocol）协议，增强了上下文处理能力。针对企业用户，NextChat 提供专业版解决方案，具备品牌定制、细粒度权限控制、内部知识库整合及安全审计等功能，满足公司对数据隐私和个性化管理的高标准要求。",87618,"2026-04-05T07:20:52",[13,26],{"id":53,"name":54,"github_repo":55,"description_zh":56,"stars":57,"difficulty_score":23,"last_commit_at":58,"category_tags":59,"status":16},2268,"ML-For-Beginners","microsoft\u002FML-For-Beginners","ML-For-Beginners 是由微软推出的一套系统化机器学习入门课程，旨在帮助零基础用户轻松掌握经典机器学习知识。这套课程将学习路径规划为 12 周，包含 26 节精炼课程和 52 道配套测验，内容涵盖从基础概念到实际应用的完整流程，有效解决了初学者面对庞大知识体系时无从下手、缺乏结构化指导的痛点。\n\n无论是希望转型的开发者、需要补充算法背景的研究人员，还是对人工智能充满好奇的普通爱好者，都能从中受益。课程不仅提供了清晰的理论讲解，还强调动手实践，让用户在循序渐进中建立扎实的技能基础。其独特的亮点在于强大的多语言支持，通过自动化机制提供了包括简体中文在内的 50 多种语言版本，极大地降低了全球不同背景用户的学习门槛。此外，项目采用开源协作模式，社区活跃且内容持续更新，确保学习者能获取前沿且准确的技术资讯。如果你正寻找一条清晰、友好且专业的机器学习入门之路，ML-For-Beginners 将是理想的起点。",84991,"2026-04-05T10:45:23",[14,60,43,61,15,62,26,13,63],"数据工具","插件","其他","音频",{"id":65,"github_repo":66,"name":67,"description_en":68,"description_zh":69,"ai_summary_zh":69,"readme_en":70,"readme_zh":71,"quickstart_zh":72,"use_case_zh":73,"hero_image_url":74,"owner_login":75,"owner_name":76,"owner_avatar_url":77,"owner_bio":78,"owner_company":79,"owner_location":79,"owner_email":79,"owner_twitter":80,"owner_website":81,"owner_url":82,"languages":79,"stars":83,"forks":84,"last_commit_at":85,"license":86,"difficulty_score":87,"env_os":88,"env_gpu":89,"env_ram":89,"env_deps":90,"category_tags":93,"github_topics":94,"view_count":23,"oss_zip_url":79,"oss_zip_packed_at":79,"status":16,"created_at":100,"updated_at":101,"faqs":102,"releases":138},4216,"kyrolabs\u002Fawesome-langchain","awesome-langchain","😎 Awesome list of tools and projects with the awesome LangChain framework","awesome-langchain 是一个精心整理的开源资源清单，旨在汇聚基于 LangChain 框架的各类工具、项目和学习资料。随着大语言模型（LLM）应用的爆发式增长，开发者往往面临生态分散、优质资源难以查找的痛点。awesome-langchain 通过系统化的分类，一站式解决了从框架核心、多语言移植版本（如 Java、Go、Rust 等），到低代码构建工具、智能体模板及实战案例的检索难题。\n\n这份清单特别适合希望快速上手或深入探索 LangChain 生态的开发者、研究人员及技术爱好者。无论是想要通过 Flowise 等低代码平台可视化搭建应用，还是寻找特定编程语言的实现方案，亦或是需要学习笔记与视频教程，都能在此找到指引。其独特的技术亮点在于不仅涵盖了官方 Python 和 JavaScript 版本，还广泛收录了社区驱动的多语言移植项目，极大地拓宽了技术选型的灵活性。同时，它还区分了维护中与已停止更新的项目，帮助用户规避技术债务。作为连接创意与实现的桥梁，awesome-langchain 让构建复杂的 LLM 应用变得更加高效有序。","# 🦜🔗 Awesome LangChain [![Awesome](https:\u002F\u002Fawesome.re\u002Fbadge.svg)](https:\u002F\u002Fawesome.re) ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fkyrolabs\u002Fawesome-langchain?style=social)\n\n> Curated list of tools and projects using LangChain.\n\nLangChain is an amazing framework to get LLM projects done in a matter of no time, and the ecosystem is growing fast.\nHere is an attempt to keep track of the initiatives around LangChain.\n\n**[Subscribe to the newsletter](https:\u002F\u002Fawesomelangchain.substack.com\u002F)** to stay informed about the Awesome LangChain. We send a couple of emails per month about the articles, videos, projects, and tools that grabbed our attention\n\nContributions welcome. Add links through pull requests or create an issue to start a discussion. Please read the [contribution guidelines](contributing.md) before contributing.\n\n## Table of Contents\n\n- [🦜🔗 Awesome LangChain ](#-awesome-langchain--)\n  - [Table of Contents](#table-of-contents)\n  - [LangChain Framework](#langchain-framework)\n  - [Ports to other languages](#ports-to-other-languages)\n  - [Tools](#tools)\n    - [Low-code](#low-code)\n    - [Services](#services)\n    - [Agents](#agents)\n    - [Templates](#templates)\n    - [Platforms](#platforms)\n  - [Open Source Projects](#open-source-projects)\n    - [Knowledge Management](#knowledge-management)\n    - [Other \u002F Chatbots](#other--chatbots)\n  - [Learn](#learn)\n    - [Notebooks](#notebooks)\n    - [Videos Playlists](#videos-playlists)\n  - [Other LLM Frameworks](#other-llm-frameworks)\n  - [Complement to this list](#complement-to-this-list)\n  - [Unmaintained](#unmaintained)\n\n## LangChain Framework\n\n- [LangChain](https:\u002F\u002Fgithub.com\u002Fhwchase17\u002Flangchain): the original 🐍 ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fhwchase17\u002Flangchain?style=social)\n- [LangChain.js](https:\u002F\u002Fgithub.com\u002Fhwchase17\u002Flangchainjs): the js brother ✨ ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fhwchase17\u002Flangchainjs?style=social)\n- [Concepts](https:\u002F\u002Fdocs.langchain.com\u002Fdocs\u002F): Langchain concepts doc\n- [Twitter account](https:\u002F\u002Ftwitter.com\u002FLangChainAI): follow to get fresh updates\n- [Youtube Channel](https:\u002F\u002Fwww.youtube.com\u002Fchannel\u002FUCC-lyoTfSrcJzA1ab3APAgw)\n- [Langchain Blog](https:\u002F\u002Fblog.langchain.dev\u002F): The Official Langchain blog\n- [LangServe](https:\u002F\u002Fgithub.com\u002Flangchain-ai\u002Flangserve): LangServe helps developers deploy LangChain runnables and chains as a REST API. ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Flangchain-ai\u002Flangserve?style=social)\n\n## Ports to other languages\n\nList of non-official ports of LangChain to other languages.\n\n- [Langchain Go](https:\u002F\u002Fgithub.com\u002Ftmc\u002Flangchaingo): Golang Langchain ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Ftmc\u002Flangchaingo?style=social)\n- [LangchainRb](https:\u002F\u002Fgithub.com\u002Fandreibondarev\u002Flangchainrb): Ruby Langchain ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fandreibondarev\u002Flangchainrb?style=social)\n- [LangChain4j](https:\u002F\u002Fgithub.com\u002Flangchain4j\u002Flangchain4j): LangChain for Java ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Flangchain4j\u002Flangchain4j?style=social)\n- [LangChainDart](https:\u002F\u002Fgithub.com\u002Fdavidmigloz\u002Flangchain_dart): Build powerful LLM-based Dart\u002FFlutter applications. ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fdavidmigloz\u002Flangchain_dart?style=social)\n- [Langchain-hs](https:\u002F\u002Fgithub.com\u002Ftusharad\u002Flangchain-hs): Haskell implementation of Haskell. ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Ftusharad\u002Flangchain-hs?style=social)\n- [Langchain](https:\u002F\u002Fgithub.com\u002Fbrainlid\u002Flangchain): Elixir implementation of a LangChain ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fbrainlid\u002Flangchain?style=social)\n- [Langchain-rust](https:\u002F\u002Fgithub.com\u002FAbraxas-365\u002Flangchain-rust): LangChain for Rust ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FAbraxas-365\u002Flangchain-rust?style=social)\n\n## Tools\n\n### Low-code\n\n- [Flowise](https:\u002F\u002Fgithub.com\u002FFlowiseAI\u002FFlowise): Drag & drop UI to build your customized LLM flow using LangchainJS ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FFlowiseAI\u002FFlowise?style=social)\n- [Langflow](https:\u002F\u002Fgithub.com\u002Flogspace-ai\u002Flangflow): LangFlow is a UI for LangChain ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Flogspace-ai\u002Flangflow?style=social)\n- [Flock](https:\u002F\u002Fgithub.com\u002FOnelevenvy\u002Fflock): Flock is a workflow-based low-code platform for rapidly building chatbots, RAG, and coordinating multi-agent teams![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FOnelevenvy\u002Fflock?style=social)\n  \n### Services\n\n- [GPTCache](https:\u002F\u002Fgithub.com\u002Fzilliztech\u002FGPTCache): A Library for Creating Semantic Cache for LLM Queries ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fzilliztech\u002FGPTCache?style=social)\n- [Gorilla](https:\u002F\u002Fgithub.com\u002FShishirPatil\u002Fgorilla): An API store for LLMs ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FShishirPatil\u002Fgorilla?style=social)\n- [LlamaHub](https:\u002F\u002Fgithub.com\u002Femptycrown\u002Fllama-hub): a library of data loaders for LLMs made by the community ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Femptycrown\u002Fllama-hub?style=social)\n- [Auto-evaluator](https:\u002F\u002Fgithub.com\u002FPineappleExpress808\u002Fauto-evaluator): a lightweight evaluation tool for question-answering using Langchain ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FPineappleExpress808\u002Fauto-evaluator?style=social)\n- [Langchain visualizer](https:\u002F\u002Fgithub.com\u002Famosjyng\u002Flangchain-visualizer): visualization and debugging tool for LangChain workflows ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Famosjyng\u002Flangchain-visualizer?style=social)\n- [LLM Strategy](https:\u002F\u002Fgithub.com\u002FBlackHC\u002Fllm-strategy): implementing the Strategy Pattern using LLMs ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FBlackHC\u002Fllm-strategy?style=social)\n- [datasetGPT](https:\u002F\u002Fgithub.com\u002Fradi-cho\u002FdatasetGPT): A command-line interface to generate textual and conversational datasets with LLMs. ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fradi-cho\u002FdatasetGPT?style=social)\n- [Auto Evaluator](https:\u002F\u002Fgithub.com\u002Flangchain-ai\u002Fauto-evaluator): Langchain auto evaluator ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Flangchain-ai\u002Fauto-evaluator?style=social)\n- [Jina](https:\u002F\u002Fgithub.com\u002Fjina-ai\u002Flangchain-serve): Langchain Apps on Production with Jina ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fjina-ai\u002Flangchain-serve?style=social)\n- [Dify](https:\u002F\u002Fgithub.com\u002Flanggenius\u002Fdify): One API for plugins and datasets, one interface for prompt engineering and visual operation, all for creating powerful AI applications. ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Flanggenius\u002Fdify?style=social)\n- [Chainlit](https:\u002F\u002Fgithub.com\u002FChainlit\u002Fchainlit): Build Python LLM apps in minutes ⚡️ ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FChainlit\u002Fchainlit?style=social)\n- [Langchain Decorators](https:\u002F\u002Fgithub.com\u002Fju-bezdek\u002Flangchain-decorators): a layer on the top of LangChain that provides syntactic sugar 🍭 for writing custom langchain prompts and chains ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fju-bezdek\u002Flangchain-decorators?style=social)\n- [AilingBot](https:\u002F\u002Fgithub.com\u002Fericzhang-cn\u002Failingbot): Quickly integrate applications built on Langchain into IM such as Slack, WeChat Work, Feishu, DingTalk.\n- [Llama2 Embedding Server](https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fllama_embeddings_fastapi_service): Llama2 Embeddings FastAPI Service using LangChain ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FDicklesworthstone\u002Fllama_embeddings_fastapi_service?style=social)\n- [ChatAbstractions](https:\u002F\u002Fgithub.com\u002Fandrewnguonly\u002FChatAbstractions): LangChain chat model abstractions for dynamic failover, load balancing, chaos engineering, and more! ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fandrewnguonly\u002FChatAbstractions?style=social)\n- [MindSQL](https:\u002F\u002Fgithub.com\u002FMindinventory\u002FMindSQL) - A python package for Txt-to-SQL with self hosting functionalities and RESTful APIs compatible with proprietary as well as open source LLM.![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fmindinventory\u002Fmindsql?style=social)\n- [Llama-github](https:\u002F\u002Fgithub.com\u002FJetXu-LLM\u002Fllama-github): Llama-github is a python library which built with Langchain framework that helps you retrieve the most relevant code snippets, issues, and repository information from GitHub ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FJetXu-LLM\u002Fllama-github?style=social)\n- [CopilotKit](https:\u002F\u002Fgithub.com\u002FCopilotKit\u002FCopilotKit): A framework for building custom AI Copilots 🤖 in-app AI chatbots, in-app AI Agents, & AI-powered Textareas ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FCopilotKit\u002FCopilotKit?style=social)\n- [LangFair](https:\u002F\u002Fgithub.com\u002Fcvs-health\u002Flangfair): LangFair is a Python library for conducting use-case-specific LLM bias and fairness assessments ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fcvs-health\u002Flangfair?style=social)\n- [LangWatch](https:\u002F\u002Fgithub.com\u002Flangwatch\u002Flangwatch): An Open Source tool for observing, evaluating and optimising your llm apps and prompts, which supports LangChain out of the box! ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Flangwatch\u002Flangwatch?style=social)\n- [Agentic Radar](https:\u002F\u002Fgithub.com\u002Fsplx-ai\u002Fagentic-radar) - Open-source CLI security scanner for agentic workflows. Scans your workflow’s source code, detects vulnerabilities, and generates an interactive visualization along with a detailed security report. ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fsplx-ai\u002Fagentic-radar?style=social)\n- [UQLM](https:\u002F\u002Fgithub.com\u002Fcvs-health\u002Fuqlm): UQLM: Uncertainty Quantification for Language Models, is a Python library for LLM hallucination detection using state-of-the-art uncertainty quantification techniques ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fcvs-health\u002Fuqlm?style=social)\n\n### Agents\n\n- [Private GPT](https:\u002F\u002Fgithub.com\u002Fimartinez\u002FprivateGPT): Interact privately with your documents using the power of GPT, 100% privately, no data leaks ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fimartinez\u002FprivateGPT?style=social)\n- [CollosalAI Chat](https:\u002F\u002Fgithub.com\u002Fhpcaitech\u002FColossalAI\u002Ftree\u002Fmain\u002Fapplications\u002FChat): implement LLM with RLHF, powered by the Colossal-AI project ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fhpcaitech\u002FColossalAI?style=social)\n- [CrewAI](https:\u002F\u002Fgithub.com\u002Fjoaomdmoura\u002Fcrewai): Cutting-edge framework for orchestrating role-playing, autonomous AI agents. ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fjoaomdmoura\u002Fcrewai?style=social)\n- [AgentGPT](https:\u002F\u002Fgithub.com\u002Freworkd\u002FAgentGPT): AI Agents with Langchain & OpenAI (Vercel \u002F Nextjs) ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Freworkd\u002FAgentGPT?style=social)\n- [Local GPT](https:\u002F\u002Fgithub.com\u002FPromtEngineer\u002FlocalGPT): Inspired on Private GPT with the GPT4ALL model replaced with the Vicuna-7B model and using the InstructorEmbeddings instead of LlamaEmbeddings ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FPromtEngineer\u002FlocalGPT?style=social)\n- [GPT Researcher](https:\u002F\u002Fgithub.com\u002Fassafelovic\u002Fgpt-researcher): GPT Researcher is an autonomous agent designed for comprehensive online research on a variety of tasks. ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fassafelovic\u002Fgpt-researcher?style=social)\n- [ThinkGPT](https:\u002F\u002Fgithub.com\u002Falaeddine-13\u002Fthinkgpt): Agent techniques to augment your LLM and push it beyond its limits ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Falaeddine-13\u002Fthinkgpt?style=social)\n- [Camel-AutoGPT](https:\u002F\u002Fgithub.com\u002FSamurAIGPT\u002FCamel-AutoGPT): role-playing approach for LLMs and auto-agents like BabyAGI & AutoGPT ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FSamurAIGPT\u002FCamel-AutoGPT?style=social)\n- [RasaGPT](https:\u002F\u002Fgithub.com\u002Fpaulpierre\u002FRasaGPT): RasaGPT is the first headless LLM chatbot platform built on top of Rasa and Langchain. ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fpaulpierre\u002FRasaGPT?style=social)\n- [SkyAGI](https:\u002F\u002Fgithub.com\u002Flitanlitudan\u002Fskyagi): Emerging human-behavior simulation capability in LLM agents ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Flitanlitudan\u002Fskyagi?style=social)\n- [PyCodeAGI](https:\u002F\u002Fgithub.com\u002Fchakkaradeep\u002FpyCodeAGI): A small AGI experiment to generate a Python app given what app the user wants to build ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fchakkaradeep\u002FpyCodeAGI?style=social)\n- [BabyAGI UI](https:\u002F\u002Fgithub.com\u002Fmiurla\u002Fbabyagi-ui): Make it easier to run and develop with babyagi in a web app, like a ChatGPT ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fmiurla\u002Fbabyagi-ui?style=social)\n- [SuperAgent](https:\u002F\u002Fgithub.com\u002Fhomanp\u002Fsuperagent): Deploy LLM Agents to production ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fhomanp\u002Fsuperagent?style=social)\n- [Voyager](https:\u002F\u002Fgithub.com\u002FMineDojo\u002FVoyager): An Open-Ended Embodied Agent with Large Language Models ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FMineDojo\u002FVoyager?style=social)\n- [ix](https:\u002F\u002Fgithub.com\u002Fkreneskyp\u002Fix): Autonomous GPT-4 agent platform ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fkreneskyp\u002Fix?style=social)\n- [DuetGPT](https:\u002F\u002Fgithub.com\u002Fkristoferlund\u002Fduet-gpt): A conversational semi-autonomous developer assistant, AI pair programming without the copypasta. ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fkristoferlund\u002Fduet-gpt?style=social)\n- [Multi-Modal LangChain agents in Production](https:\u002F\u002Fgithub.com\u002Fsteamship-packages\u002Flangchain-agent-production-starter): Deploy LangChain Agents and connect them to Telegram ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fsteamship-packages\u002Flangchain-agent-production-starter?style=social)\n- [DemoGPT](https:\u002F\u002Fgithub.com\u002Fmelih-unsal\u002FDemoGPT): DemoGPT enables you to create quick demos by just using prompt. It applies ToT approach on Langchain documentation tree. ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fmelih-unsal\u002FDemoGPT?style=social)\n- [SuperAGI](https:\u002F\u002Fgithub.com\u002FTransformerOptimus\u002FSuperAGI): SuperAGI - A dev-first open source autonomous AI agent framework ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FTransformerOptimus\u002FSuperAGI?style=social)\n- [Autonomous HR Chatbot](https:\u002F\u002Fgithub.com\u002Fstepanogil\u002Fautonomous-hr-chatbot): An autonomous agent that can answer HR related queries autonomously using the tools it has on hand ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fstepanogil\u002Fautonomous-hr-chatbot?style=social)\n- [BlockAGI](https:\u002F\u002Fgithub.com\u002Fblockpipe\u002Fblockagi): BlockAGI conducts iterative, domain-specific research, and outputs detailed narrative reports to showcase its findings ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fblockpipe\u002Fblockagi?style=social)\n- [waggledance.ai](https:\u002F\u002Fgithub.com\u002Fagi-merge\u002Fwaggle-dance): An opinionated, concurrent system of AI Agents. It implements Plan-Validate-Solve with data and tools for general goal-solving. ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fagi-merge\u002Fwaggle-dance?style=social)\n\n\n### Templates\n\n- [AI](https:\u002F\u002Fgithub.com\u002Fvercel-labs\u002Fai): Vercel template to build AI-powered applications with React, Svelte, and Vue, first class support for LangChain ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fvercel-labs\u002Fai?style=social)\n- [create-t3-turbo-ai](https:\u002F\u002Fgithub.com\u002Fzckly\u002Fcreate-t3-turbo-ai): t3 based, Langchain-friendly boilerplate for building type-safe, full-stack, LLM-powered web apps with Nextjs and Prisma ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fzckly\u002Fcreate-t3-turbo-ai?style=social)\n- [LangChain.js LLM Template](https:\u002F\u002Fgithub.com\u002FConner1115\u002FLangChain.js-LLM-Template): LangChain LLM template that allows you to train your own custom AI LLM model. ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FConner1115\u002FLangChain.js-LLM-Template?style=social)\n- [Streamlit Template](https:\u002F\u002Fgithub.com\u002Fhwchase17\u002Flangchain-streamlit-template): template for how to deploy a LangChain on Streamlit ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fhwchase17\u002Flangchain-streamlit-template?style=social)\n- [Codespaces Template](https:\u002F\u002Fgithub.com\u002Flostintangent\u002Fcodespaces-langchain): a Codespaces template for getting up-and-running with LangChain in seconds! ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Flostintangent\u002Fcodespaces-langchain?style=social)\n- [Gradio Template](https:\u002F\u002Fgithub.com\u002Fhwchase17\u002Flangchain-gradio-template): template for how to deploy a LangChain on Gradio ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fhwchase17\u002Flangchain-gradio-template?style=social)\n- [AI Getting Started](https:\u002F\u002Fgithub.com\u002Fa16z-infra\u002Fai-getting-started): A Javascript AI getting started stack for weekend projects, including image\u002Ftext models, vector stores, auth, and deployment configs ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fa16z-infra\u002Fai-getting-started?style=social)\n- [Embedchain](https:\u002F\u002Fgithub.com\u002Fembedchain\u002Fembedchain): Framework to easily create LLM powered bots over any dataset. ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fembedchain\u002Fembedchain?style=social)\n\n### Platforms\n\n- [Openllmetry](https:\u002F\u002Fgithub.com\u002Ftraceloop\u002Fopenllmetry): Open-source observability for your LLM application, based on OpenTelemetry ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Ftraceloop\u002Fopenllmetry?style=social)\n- [traceAI](https:\u002F\u002Fgithub.com\u002Ffuture-agi\u002FtraceAI): Open-source OpenTelemetry-native tracing framework for LLM applications, with native LangChain instrumentation and support for 20+ frameworks. [![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Ffuture-agi\u002FtraceAI?style=social)](https:\u002F\u002Fgithub.com\u002Ffuture-agi\u002FtraceAI)\n\n## Open Source Projects\n\n### Knowledge Management\n\n- [Quiver](https:\u002F\u002Fgithub.com\u002FStanGirard\u002Fquiver): Dump your brain into your GenerativeAI Vault ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FStanGirard\u002Fquiver?style=social)\n- [DocsGPT](https:\u002F\u002Fgithub.com\u002Farc53\u002Fdocsgpt): GPT-powered chat for documentation search & assistance. ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Farc53\u002Fdocsgpt?style=social)\n- [Chaindesk](https:\u002F\u002Fgithub.com\u002Fgmpetrov\u002Fdataberry): The no-code platform for semantic search and documents retrieval ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fgmpetrov\u002Fdataberry?style=social)\n- [Knowledge GPT](https:\u002F\u002Fgithub.com\u002Fmmz-001\u002Fknowledge_gpt): Accurate answers and instant citations for your documents. ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fmmz-001\u002Fknowledge_gpt?style=social)\n- [Knowledge](https:\u002F\u002Fgithub.com\u002FKnowledgeCanvas\u002Fknowledge): Knowledge is a tool for saving, searching, accessing, and exploring all of your favorite websites, documents and files. ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FKnowledgeCanvas\u002Fknowledge?style=social)\n- [Anything LLM](https:\u002F\u002Fgithub.com\u002FMintplex-Labs\u002Fanything-llm): A full-stack application that turns any documents into an intelligent chatbot with a sleek UI and easier way to manage your workspaces. ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FMintplex-Labs\u002Fanything-llm?style=social)\n- [DocNavigator](https:\u002F\u002Fgithub.com\u002Fvgulerianb\u002FDocNavigator): AI-powered chatbot builder that is designed to improve the user experience on product documentation\u002Fsupport websites ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fvgulerianb\u002FDocNavigator?style=social)\n- [ChatFiles](https:\u002F\u002Fgithub.com\u002Fguangzhengli\u002FChatFiles): Upload your document and then chat with it. Powered by GPT \u002F Embedding \u002F TS \u002F NextJS. ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fguangzhengli\u002FChatFiles?style=social)\n- [DataChad](https:\u002F\u002Fgithub.com\u002Fgustavz\u002FDataChad): A streamlit app that lets you chat with any data source. Supporting both OpenAI and local mode with GPT4All. ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fgustavz\u002FDataChad?style=social)\n- [Second Brain AI Agent](https:\u002F\u002Fgithub.com\u002Fflepied\u002Fsecond-brain-agent): A streamlit app dialog with your second brain notes using OpenAI and ChromaDB locally. ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fflepied\u002Fsecond-brain-agent?style=social)\n- [examor](https:\u002F\u002Fgithub.com\u002Fcodeacme17\u002Fexamor): A website application that allows you to take exams based on your knowledge notes. Let you really remember what you have learned and written. ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fcodeacme17\u002Fexamor?style=social)\n- [Repochat](https:\u002F\u002Fgithub.com\u002Fpnkvalavala\u002Frepochat): Chatbot assistant enabling GitHub repository interaction using LLMs with Retrieval Augmented Generation ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fpnkvalavala\u002Frepochat?style=social)\n- [SolidGPT](https:\u002F\u002Fgithub.com\u002FAI-Citizen\u002FSolidGPT): Chat everything with your code repository, ask repository level code questions, and discuss your requirements ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FAI-Citizen\u002FSolidGPT?style=social)\n- [Minima](https:\u002F\u002Fgithub.com\u002Fdmayboroda\u002Fminima): Chat with local documents, connect local environment to ChatGPT or Claude ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fdmayboroda\u002Fminima?style=social)\n\n### Other \u002F Chatbots\n\n- [DB GPT](https:\u002F\u002Fgithub.com\u002Fcsunny\u002FDB-GPT): Interact your data and environment using the local GPT, no data leaks, 100% privately, 100% security ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fcsunny\u002FDB-GPT?style=social)\n- [AudioGPT](https:\u002F\u002Fgithub.com\u002FAIGC-Audio\u002FAudioGPT): Understanding and Generating Speech, Music, Sound, and Talking Head ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FAIGC-Audio\u002FAudioGPT?style=social)\n- [Paper QA](https:\u002F\u002Fgithub.com\u002Fwhitead\u002Fpaper-qa): LLM Chain for answering questions from documents with citations ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fwhitead\u002Fpaper-qa?style=social)\n- [Chat Langchain](https:\u002F\u002Fgithub.com\u002Fhwchase17\u002Fchat-langchain): locally hosted chatbot specifically focused on question answering over the LangChain documentation ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fhwchase17\u002Fchat-langchain?style=social)\n- [Langchain Chat](https:\u002F\u002Fgithub.com\u002Fzahidkhawaja\u002Flangchain-chat-nextjs): another Next.js frontend for LangChain Chat. ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fzahidkhawaja\u002Flangchain-chat-nextjs?style=social)\n- [Book GPT](https:\u002F\u002Fgithub.com\u002Ffraserxu\u002Fbook-gpt): drop a book, start asking question. ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Ffraserxu\u002Fbook-gpt?style=social)\n- [Doc Search](https:\u002F\u002Fgithub.com\u002Fnamuan\u002Fdr-doc-search): converse with book - Built with GPT-3 ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fnamuan\u002Fdr-doc-search?style=social)\n- [Fact Checker](https:\u002F\u002Fgithub.com\u002Fjagilley\u002Ffact-checker): fact-checking LLM outputs with langchain ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fjagilley\u002Ffact-checker?style=social)\n- [MM ReAct](https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002FMM-REACT): Multi Modal ReAct Design\n- [QABot](https:\u002F\u002Fgithub.com\u002Fhardbyte\u002Fqabot): Query local or remote files or databases with natural language queries powered by langchain and openai ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fhardbyte\u002Fqabot?style=social)\n- [FlowGPT](https:\u002F\u002Fgithub.com\u002Fnilooy\u002Fflowgpt): Generate diagram with AI ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fnilooy\u002Fflowgpt?style=social)\n- [langchain-text-summarizer](https:\u002F\u002Fgithub.com\u002Falphasecio\u002Flangchain-text-summarizer): A sample streamlit application summarizing text using LangChain ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Falphasecio\u002Flangchain-text-summarizer?style=social)\n- [Langchain Chat Websocket](https:\u002F\u002Fgithub.com\u002Fpors\u002Flangchain-chat-websockets): About LangChain LLM chat with streaming response over websockets ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fpors\u002Flangchain-chat-websockets?style=social)\n- [langchain_yt_tools](https:\u002F\u002Fgithub.com\u002Fvenuv\u002Flangchain_yt_tools): Langchain tools to search\u002Fextract\u002Ftranscribe text transcripts of Youtube videos ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fvenuv\u002Flangchain_yt_tools?style=social)\n- [ThoughtSource⚡](https:\u002F\u002Fgithub.com\u002FOpenBioLink\u002FThoughtSource): A framework for the science of machine thinking ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FOpenBioLink\u002FThoughtSource?style=social)\n- [ChatGPT Langchain](https:\u002F\u002Fhuggingface.co\u002Fspaces\u002FJavaFXpert\u002FChat-GPT-LangChain): ChatGPT clone using langchain on Huggingface\n- [Chat Math Techniques](https:\u002F\u002Fhuggingface.co\u002Fspaces\u002FJavaFXpert\u002Fgpt-math-techniques): langchain chat with math techniques on Huggingface\n- [Notion QA](https:\u002F\u002Fgithub.com\u002Fhwchase17\u002Fnotion-qa): Notion Question-Answering Bot ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fhwchase17\u002Fnotion-qa?style=social)\n- [QNimGPT](https:\u002F\u002Fhuggingface.co\u002Fspaces\u002Frituthombre\u002FQNim): Play Nim against an IBM Quantum Computer simulator or OpenAI GPT-3.5\n- [ChatPDF](https:\u002F\u002Fgithub.com\u002Fakshata29\u002Fchatpdf): ChatGPT + Enterprise data with Azure OpenAI ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fakshata29\u002Fchatpdf?style=social)\n- [Chat with Scanned Documents](https:\u002F\u002Fgithub.com\u002Ftony-xlh\u002FChat-with-Scanned-Documents): A demo chatting with documents scanned with Dynamic Web TWAIN.\n- [snowChat ❄️](https:\u002F\u002Fgithub.com\u002Fkaarthik108\u002FsnowChat): Chat with you're snowflake database ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fkaarthik108\u002FsnowChat?style=social)\n- [TutorGPT](https:\u002F\u002Fgithub.com\u002Fplastic-labs\u002Ftutor-gpt): Dynamic few-shot metaprompting for the task of tutoring. ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fplastic-labs\u002Ftutor-gpt?style=social)\n- [Cheshire Cat](https:\u002F\u002Fgithub.com\u002Fcheshire-cat-ai\u002Fcore): Custom AGI boT with ready-to-use chat integration and plugins development platform. ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fcheshire-cat-ai\u002Fcore?style=social)\n- [Dialoqbase](https:\u002F\u002Fgithub.com\u002Fn4ze3m\u002Fdialoqbase): web application that allows you to create custom chatbots with your own knowledge base ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fn4ze3m\u002Fdialoqbase?style=social)\n- [CSV-AI 🧠](https:\u002F\u002Fpython.langchain.com\u002Fen\u002Flatest\u002Fmodules\u002Findexes\u002Fdocument_loaders\u002Fexamples\u002Fsnowflake.html): CSV-AI is the ultimate app powered by LangChain that allows you to unlock hidden insights in your CSV files.\n- [MindGeniusAI](https:\u002F\u002Fgithub.com\u002Fxianjianlf2\u002FMindGeniusAI): Auto generate MindMap with ChatGPT ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fxianjianlf2\u002FMindGeniusAI?style=social)\n- [Robby-Chatbot](https:\u002F\u002Fgithub.com\u002Fyvann-hub\u002FRobby-chatbot): AI chatbot 🤖 for chat with CSV, PDF, TXT files 📄 and YTB videos 🎥 | using Langchain🦜 | OpenAI | Streamlit ⚡.\n- [AI Chatbot](https:\u002F\u002Fgithub.com\u002Fvercel-labs\u002Fai-chatbot): A full-featured, hackable Next.js AI chatbot built by Vercel Labs ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fvercel-labs\u002Fai-chatbot?style=social)\n- [Instrukt](https:\u002F\u002Fgithub.com\u002Fblob42\u002FInstrukt): A fully-fledged AI environment in the terminal. Build, test and instruct agents. ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fblob42\u002FInstrukt?style=social)\n- [OpenChat](https:\u002F\u002Fgithub.com\u002Fopenchatai\u002FOpenChat\u002F): LLMs custom-chatbots console ⚡. ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fopenchatai\u002FOpenChat?style=social)\n- [GPT Migrate](https:\u002F\u002Fgithub.com\u002F0xpayne\u002Fgpt-migrate): Easily migrate your codebase from one framework or language to another.\n- [Code Interpreter API](https:\u002F\u002Fgithub.com\u002Fshroominic\u002Fcodeinterpreter-api): About Open source implementation of the ChatGPT Code Interpreter ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fshroominic\u002Fcodeinterpreter-api?style=social)\n- [Lobe Chat](https:\u002F\u002Fgithub.com\u002Flobehub\u002Flobe-chat) An open-source, extensible (Function Calling), high-performance chatbot framework ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Flobehub\u002Flobe-chat?style=social)\n- [Funcchain](https:\u002F\u002Fgithub.com\u002Fshroominic\u002Ffuncchain): write prompts, pythonic ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fshroominic\u002Ffuncchain?style=social)\n- [PersonalityChatbot](https:\u002F\u002Fgithub.com\u002Fbtrcm00\u002Fchatbot-with-langchain): Langchain chatbot for chat with personality using Langchain🦜 | LangSmith | MongoDB. ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fbtrcm00\u002Fchatbot-with-langchain?style=social)\n- [XAgent](https:\u002F\u002Fgithub.com\u002FOpenBMB\u002FXAgent): An Autonomous LLM Agent for Complex Task Solving ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FOpenBMB\u002FXAgent?style=social)\n- [MemFree](https:\u002F\u002Fgithub.com\u002Fmemfreeme\u002Fmemfree) - Open Source Hybrid AI Search Engine, Instantly Get Accurate Answers from the Internet, Bookmarks, Notes, and Docs. Support One-Click Deployment. ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fmemfreeme\u002Fmemfree?style=social)\n\n## Learn\n\n### Notebooks\n\n- [Langchain Tutorials](https:\u002F\u002Fgithub.com\u002Fgkamradt\u002Flangchain-tutorials): overview and tutorial of the LangChain Library ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fgkamradt\u002Flangchain-tutorials?style=social)\n- [LangChain Chinese Getting Started Guide](https:\u002F\u002Fgithub.com\u002FliaokongVFX\u002FLangChain-Chinese-Getting-Started-Guide): Chinese LangChain Tutorial for Beginners ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FliaokongVFX\u002FLangChain-Chinese-Getting-Started-Guide?style=social)\n- [Flan5 LLM](https:\u002F\u002Fcolab.research.google.com\u002Fdrive\u002F1AVh9dOsG9DKzfK7gOFrJuitPIcLPqlbO?usp=sharing): PDF QA using LangChain for chain of thought and multi-task instructions, Flan5 on HuggingFace\n- [LangChain Handbook](https:\u002F\u002Fgithub.com\u002Fpinecone-io\u002Fexamples\u002Ftree\u002Fmaster\u002Fgeneration\u002Flangchain\u002Fhandbook): Pinecone \u002F James Briggs' LangChain handbook\n- [Query the YouTube video transcripts](https:\u002F\u002Fcolab.research.google.com\u002Fdrive\u002F1sKSTjt9cPstl_WMZ86JsgEqFG-aSAwkn?usp=sharing): Query the YouTube video transcripts, returning timestamps as sources to legitimize the answers\n- [llm-lobbyist](https:\u002F\u002Fgithub.com\u002FJohnNay\u002Fllm-lobbyist): Large Language Models as Corporate Lobbyists\n- [Langchain Semantic Search](https:\u002F\u002Fgithub.com\u002Fvenuv\u002Flangchain_semantic_search): Search and indexing your own Google Drive Files using GPT3, LangChain, and Python\n- [GPT Political Compass](https:\u002F\u002Fcolab.research.google.com\u002Fdrive\u002F1xt2IsFPGYMEQdoJFNgWNAjWGxa60VXdV)\n- [llm-grovers-search-party](https:\u002F\u002Fgithub.com\u002FJavaFXpert\u002Fllm-grovers-search-party): Leveraging Qiskit, OpenAI and LangChain to demonstrate Grover's algorithm\n- [TextWorld ReAct Agent](https:\u002F\u002Fcolab.research.google.com\u002Fdrive\u002F19WTIWC3prw5LDMHmRMvqNV2loD9FHls6?usp=sharing)\n- [LangChain \u003C> Wolfram Alpha](https:\u002F\u002Fcolab.research.google.com\u002Fdrive\u002F1AAyEdTz-Z6ShKvewbt1ZHUICqak0MiwR?usp=sharing)\n- [BYO Knowledge Graph](https:\u002F\u002Fgithub.com\u002Fprof-frink-lab\u002Fslangchain\u002Fblob\u002Fmain\u002Fdocs\u002Fmodules\u002Fknowledge_graph\u002Fexamples\u002Fbyo_knowledge_graph.ipynb)\n- [Large Language Models Course](https:\u002F\u002Fgithub.com\u002Fperemartra\u002FLarge-Language-Model-Notebooks-Course) ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fperemartra\u002FLarge-Language-Model-Notebooks-Course?style=social)\n- [Learn LangChain (JS)](https:\u002F\u002Fgithub.com\u002Fiparesh18\u002FLearn-LangChain) – A structured, example-driven LangChain JS learning repository covering prompts, chains, tools, embeddings, RAG, agents, Puppeteer scraping, and LangGraph-based multi-agent workflows.\n\n\n### Videos Playlists\n\n- [LangChain Series by Sam Witteveen](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=J_0qvRt4LNk&list=PL8motc6AQftk1Bs42EW45kwYbyJ4jOdiZ)\n- [LangChain Tutorials Playlist](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL611FKPtL866MnlDPHvI3KwVGqCB-QJAx)\n- [LangChain James Briggs' Playlist](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=nE2skSRWTTs&list=PLIUOU7oqGTLieV9uTIFMm6_4PXg-hlN6F)\n- [Greg Kamradt Playlist](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=_v_fgW2SkkQ&list=PLqZXAkvF1bPNQER9mLmDbntNfSpzdDIU5)\n\n## Other LLM Frameworks\n\n- [Transformers Agents](https:\u002F\u002Fhuggingface.co\u002Fdocs\u002Ftransformers\u002Ftransformers_agents): Provides a natural language API on top of transformers\n- [LlamaIndex](https:\u002F\u002Fgithub.com\u002Fjerryjliu\u002Fllama_index): provides a central interface to connect your LLM's with external data. ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fjerryjliu\u002Fllama_index?style=social)\n- [Botpress](https:\u002F\u002Fgithub.com\u002Fbotpress\u002Fbotpress): The building blocks for building chatbots ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fbotpress\u002Fbotpress?style=social)\n- [Haystack](https:\u002F\u002Fgithub.com\u002Fdeepset-ai\u002Fhaystack): NLP framework to interact with your data using Transformer models and LLMs ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fdeepset-ai\u002Fhaystack?style=social)\n- [Semantic Kernel](https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fsemantic-kernel): Microsoft C# SDK to integrate cutting-edge LLM technology quickly and easily into your apps ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fmicrosoft\u002Fsemantic-kernel?style=social)\n- [Promptify](https:\u002F\u002Fgithub.com\u002Fpromptslab\u002FPromptify): Prompt Engineering | Use GPT or other prompt based models to get structured output. ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fpromptslab\u002FPromptify?style=social)\n- [PromptSource](https:\u002F\u002Fgithub.com\u002Fbigscience-workshop\u002Fpromptsource): About Toolkit for creating, sharing and using natural language prompts. ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fbigscience-workshop\u002Fpromptsource?style=social)\n- [Agent-LLM](https:\u002F\u002Fgithub.com\u002FJosh-XT\u002FAgent-LLM): An Artificial Intelligence Automation Platform. ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FJosh-XT\u002FAgent-LLM?style=social)\n- [LLM Agents](https:\u002F\u002Fgithub.com\u002Fmpaepper\u002Fllm_agents): Build agents which are controlled by LLMs ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fmpaepper\u002Fllm_agents?style=social)\n- [MiniChain](https:\u002F\u002Fgithub.com\u002Fsrush\u002FMiniChain): A tiny library for coding with large language models. ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fsrush\u002FMiniChain?style=social)\n- [Griptape](https:\u002F\u002Fgithub.com\u002Fgriptape-ai\u002Fgriptape): Python framework for AI workflows and pipelines with chain of thought reasoning, external tools, and memory. ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fgriptape-ai\u002Fgriptape?style=social)\n- [llm-chain](https:\u002F\u002Fgithub.com\u002Fsobelio\u002Fllm-chain): is a powerful rust crate for building chains in LLMs allowing you to summarise text and complete complex tasks. ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fsobelio\u002Fllm-chain?style=social)\n- [OpenLM](https:\u002F\u002Fgithub.com\u002Fr2d4\u002Fopenlm): a drop-in OpenAI-compatible library that can call LLMs from any other hosted inference API. Also [Typescript](https:\u002F\u002Fgithub.com\u002Fr2d4\u002Fllm.ts) ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fr2d4\u002Fopenlm?style=social)\n- [Dust](https:\u002F\u002Fgithub.com\u002Fdust-tt\u002Fdust): Design and Deploy Large Language Model Apps ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fdust-tt\u002Fdust?style=social)\n- [e2b](https:\u002F\u002Fgithub.com\u002Fe2b-dev\u002Fe2b): Open-source platform for building & deploying virtual developers’ agents\n- [SmartGPT](https:\u002F\u002Fgithub.com\u002FCormanz\u002Fsmartgpt): A program that provides LLMs with the ability to complete complex tasks using plugins. ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FCormanz\u002Fsmartgpt?style=social)\n- [TermGPT](https:\u002F\u002Fgithub.com\u002FSentdex\u002FTermGPT): Giving LLMs like GPT-4 the ability to plan and execute terminal commands ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FSentdex\u002FTermGPT?style=social)\n- [ReLLM](https:\u002F\u002Fgithub.com\u002Fr2d4\u002Frellm): Regular Expressions for Language Model Completions. ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fr2d4\u002Frellm?style=social)\n- [OpenDAN](https:\u002F\u002Fgithub.com\u002Ffiatrete\u002FOpenDAN-Personal-AI-OS): open source Personal AI OS , which consolidates various AI modules in one place for your personal use. ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Ffiatrete\u002FOpenDAN-Personal-AI-OS?style=social)\n- [OpenLLM](https:\u002F\u002Fgithub.com\u002Fbentoml\u002FOpenLLM): An open platform for operating large language models (LLMs) in production. Fine-tune, serve, deploy, and monitor any LLMs with ease using OpenLLM. ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fbentoml\u002FOpenLLM?style=social)\n- [FlagAI](https:\u002F\u002Fgithub.com\u002FFlagAI-Open\u002FFlagAI): FlagAI (Fast LArge-scale General AI models) is a fast, easy-to-use and extensible toolkit for large-scale model. ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FFlagAI-Open\u002FFlagAI?style=social)\n- [AI.JSX](https:\u002F\u002Fgithub.com\u002Ffixie-ai\u002Fai-jsx): The AI Application Framework for Javascript ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Ffixie-ai\u002Fai-jsx?style=social)\n- [AI Utils](https:\u002F\u002Fgithub.com\u002Flgrammel\u002Fai-utils.js): TypeScript-first library for building AI apps, chatbots, and agents. ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Flgrammel\u002Fai-utils.js?style=social)\n- [MetaGPT](https:\u002F\u002Fgithub.com\u002Fgeekan\u002FMetaGPT): The Multi-Agent Meta Programming Framework: Given one line Requirement, return PRD, Design, Tasks, Repo and CI ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fgeekan\u002FMetaGPT?style=social)\n- [Hyv](https:\u002F\u002Fgithub.com\u002Ffailfa-st\u002Fhyv): Probably the easiest way to use any AI Model in Node.js and create complex interactions with ease. ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Ffailfa-st\u002Fhyv?style=social)\n- [Autochain](https:\u002F\u002Fgithub.com\u002FForethought-Technologies\u002FAutoChain): Build lightweight, extensible, and testable LLM Agents with AutoChain. ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FForethought-Technologies\u002FAutoChain?style=social)\n- [TypeChat](https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002FTypeChat): TypeChat is a library that makes it easy to build natural language interfaces using types. ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fmicrosoft\u002FTypeChat?style=social)\n- [Marvin](https:\u002F\u002Fgithub.com\u002FPrefectHQ\u002Fmarvin): ✨ Build AI interfaces that spark joy ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FPrefectHQ\u002Fmarvin?style=social)\n- [LMQL](https:\u002F\u002Fgithub.com\u002Feth-sri\u002Flmql): A programming language for large language models. ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Feth-sri\u002Flmql?style=social)\n- [LLMFlow](https:\u002F\u002Fgithub.com\u002Fstoyan-stoyanov\u002Fllmflows): Simple, Explicit and Transparent LLM Apps ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fstoyan-stoyanov\u002Fllmflows?style=social)\n- [Ax](https:\u002F\u002Fgithub.com\u002Faxilla-io\u002Fax): A comprehensive AI framework for TypeScript ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Faxilla-io\u002Fax?style=social)\n- [TextAI](https:\u002F\u002Fgithub.com\u002Fneuml\u002Ftxtai): 💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows. ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fneuml\u002Ftxtai?style=social)\n- [AgentFlow](https:\u002F\u002Fgithub.com\u002Fsimonmesmith\u002Fagentflow): About Complex LLM Workflows from Simple JSON. ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fsimonmesmith\u002Fagentflow?style=social)\n- [Outlines](https:\u002F\u002Fgithub.com\u002Fnormal-computing\u002Foutlines): Fast and reliable neural text generation. ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fnormal-computing\u002Foutlines?style=social)\n- [SimpleAIChat](https:\u002F\u002Fgithub.com\u002Fminimaxir\u002Fsimpleaichat): Python package for easily interfacing with chat apps, with robust features and minimal code complexity. ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fminimaxir\u002Fsimpleaichat?style=social)\n- [LLFn](https:\u002F\u002Fgithub.com\u002Forgexyz\u002FLLFn): A light-weight framework for creating applications using LLMs ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Forgexyz\u002FLLFn?style=social)\n- [LLMStack](https:\u002F\u002Fgithub.com\u002Ftrypromptly\u002FLLMStack): No code platform for building LLM-powered applications with custom data. ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Ftrypromptly\u002FLLMStack?style=social)\n- [Lagent](https:\u002F\u002Fgithub.com\u002FInternLM\u002Flagent): A lightweight framework for building LLM-based agents ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FInternLM\u002Flagent?style=social)\n- [Embedbase](https:\u002F\u002Fgithub.com\u002Fdifferent-ai\u002Fembedbase): The native Software 3.0 stack for building AI-powered applications. ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fdifferent-ai\u002Fembedbase?style=social)\n- [Rivet](https:\u002F\u002Fgithub.com\u002FIronclad\u002Frivet): An IDE for creating complex AI agents and prompt chaining, and embedding it in your application. ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FIronclad\u002Frivet?style=social)\n- [Promptfoo](https:\u002F\u002Fgithub.com\u002Fpromptfoo\u002Fpromptfoo): Test your prompts. Evaluate and compare LLM outputs, catch regressions, and improve prompt quality. ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fpromptfoo\u002Fpromptfoo?style=social)\n- [RestGPT](https:\u002F\u002Fgithub.com\u002FYifan-Song793\u002FRestGPT): An LLM-based autonomous agent controlling real-world applications via RESTful APIs ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FYifan-Song793\u002FRestGPT?style=social)\n- [LangStream](https:\u002F\u002Fgithub.com\u002FLangStream\u002Flangstream): Framework for building and running event-driven LLM applications using no-code and Python (including LangChain-based) agents. ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FLangStream\u002Flangstream?style=social)\n- [Magentic](https:\u002F\u002Fgithub.com\u002Fjackmpcollins\u002Fmagentic): Seamlessly integrate LLMs as Python functions ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fjackmpcollins\u002Fmagentic?style=social)\n- [Autogen](https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fautogen): Enable Next-Gen Large Language Model Applications.\n- [AgentVerse](https:\u002F\u002Fgithub.com\u002Fopenbmb\u002Fagentverse) Provides a flexible framework that simplifies the process of building custom multi-agent environments for LLMs ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fopenbmb\u002Fagentverse?style=social)\n- [Flappy](https:\u002F\u002Fgithub.com\u002Fpleisto\u002Fflappy): Production-Ready LLM Agent SDK for Every Developer ![Github Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fpleisto\u002Fflappy.svg?style=social)\n- [MemGPT](https:\u002F\u002Fgithub.com\u002Fcpacker\u002FMemGPT): Teaching LLMs memory management for unbounded context ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fcpacker\u002FMemGPT?style=social)\n- [Agentlabs](https:\u002F\u002Fgithub.com\u002Fagentlabs-inc\u002Fagentlabs): Universal AI Agent Frontend. Build your backend we handle the rest. ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fagentlabs-inc\u002Fagentlabs?style=social)\n- [axflow](https:\u002F\u002Fgithub.com\u002Faxflow\u002Faxflow): The TypeScript framework for AI development ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Faxflow\u002Faxflow?style=social)\n- [bondai](https:\u002F\u002Fgithub.com\u002Fkrohling\u002Fbondai): AI-powered assistant with a lightweight, versatile API for seamless integration into your own applications ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fkrohling\u002Fbondai?style=social)\n- [Chidori](https:\u002F\u002Fgithub.com\u002FThousandBirdsInc\u002Fchidori): A reactive runtime for building durable AI agents ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FThousandBirdsInc\u002Fchidori?style=social)\n- [Langroid](https:\u002F\u002Fgithub.com\u002Flangroid\u002Flangroid): an intuitive, lightweight, extensible and principled Python framework to easily build LLM-powered applications. ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Flangroid\u002Flangroid?style=social)\n- [Langstream](https:\u002F\u002Fgithub.com\u002Frogeriochaves\u002Flangstream): Build robust LLM applications with true composability 🔗 ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Frogeriochaves\u002Flangstream?style=social)\n- [Agency](https:\u002F\u002Fgithub.com\u002Fneurocult\u002Fagency): 🕵️‍♂️ Library designed for developers eager to explore the potential of Large Language Models (LLMs) and other generative AI through a clean, effective, and Go-idiomatic approach ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fneurocult\u002Fagency?style=social)\n- [TaskWeaver](https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002FTaskWeaver): A code-first agent framework for seamlessly planning and executing data analytics tasks. ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fmicrosoft\u002FTaskWeaver?style=social)\n- [MicroAgent](https:\u002F\u002Fgithub.com\u002Faymenfurter\u002Fmicroagents): Agents Capable of Self-Editing Their Prompts \u002F Python Code ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Faymenfurter\u002Fmicroagents?style=social)\n- [Casibase](https:\u002F\u002Fgithub.com\u002Fcasibase\u002Fcasibase): Open-source AI LangChain-like RAG (Retrieval-Augmented Generation) knowledge database with web UI and Enterprise SSO⚡️, supports OpenAI, Azure, LLaMA, Google Gemini, HuggingFace, Claude, Grok, etc ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fcasibase\u002Fcasibase?style=social)\n- [Fructose](https:\u002F\u002Fgithub.com\u002Fbananaml\u002Ffructose): Fructose is a python package to create a dependable, strongly-typed interface around an LLM call. ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fbananaml\u002Ffructose?style=social)\n- [R2R](https:\u002F\u002Fgithub.com\u002FSciPhi-AI\u002FR2R): A framework for rapid development and deployment of production-ready RAG systems ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FSciPhi-AI\u002FR2R?style=social)\n- [uAgents](https:\u002F\u002Fgithub.com\u002Ffetchai\u002FuAgents): A fast and lightweight framework for creating decentralized agents with ease. ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Ffetchai\u002FuAgents?style=social)\n- [Codel](https:\u002F\u002Fgithub.com\u002Fsemanser\u002Fcodel): ✨ Fully autonomous AI Agent that can perform complicated tasks and projects using terminal, browser, and editor. ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fsemanser\u002Fcodel?style=social)\n- [LLocalSearch](https:\u002F\u002Fgithub.com\u002Fnilsherzig\u002FLLocalSearch): LLocalSearch is a completely locally running search aggregator using LLM Agents. The user can ask a question and the system will use a chain of LLMs to find the answer. The user can see the progress of the agents and the final answer. No OpenAI or Google API keys are needed. ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fnilsherzig\u002FLLocalSearch?style=social)\n- [Plandex](https:\u002F\u002Fgithub.com\u002Fplandex-ai\u002Fplandex): An AI coding engine for complex tasks ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fplandex-ai\u002Fplandex?style=social)\n- [Maestro](https:\u002F\u002Fgithub.com\u002FDoriandarko\u002Fmaestro): A framework for Claude Opus to intelligently orchestrate subagents. ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FDoriandarko\u002Fmaestro?style=social)\n- [GPT Pilot](https:\u002F\u002Fgithub.com\u002FPythagora-io\u002Fgpt-pilot): GPT Pilot is the core technology for the Pythagora VS Code extension that aims to provide the first real AI developer companion. ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FPythagora-io\u002Fgpt-pilot?style=social)\n- [SWE Agent](https:\u002F\u002Fgithub.com\u002Fprinceton-nlp\u002Fswe-agent): SWE-agent takes a GitHub issue and tries to automatically fix it, using GPT-4, or your LM of choice. ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fprinceton-nlp\u002Fswe-agent?style=social)\n- [Gateway](https:\u002F\u002Fgithub.com\u002FPortkey-AI\u002Fgateway): A Blazing Fast AI Gateway. Route to 100+ LLMs with 1 fast & friendly API. ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FPortkey-AI\u002Fgateway?style=social)\n- [AgentRun](https:\u002F\u002Fgithub.com\u002FJonathan-Adly\u002FAgentRun): The easiest, and fastest way to run AI-generated Python code safely ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FJonathan-Adly\u002FAgentRun?style=social)\n- [LLama Cpp Agent](https:\u002F\u002Fgithub.com\u002FMaximilian-Winter\u002Fllama-cpp-agent): The llama-cpp-agent framework is a tool designed for easy interaction with Large Language Models ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FMaximilian-Winter\u002Fllama-cpp-agent?style=social)\n- [FinRobot](https:\u002F\u002Fgithub.com\u002FAI4Finance-Foundation\u002FFinRobot): An Open-Source AI Agent Platform for Financial Applications using LLMs ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FAI4Finance-Foundation\u002FFinRobot?style=social)\n- [Groq Ruby](https:\u002F\u002Fgithub.com\u002Fdrnic\u002Fgroq-ruby): Groq Cloud runs LLM models fast and cheap. This is a convenience client library for Ruby. ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fdrnic\u002Fgroq-ruby?style=social)\n- [AgentScope](https:\u002F\u002Fgithub.com\u002Fmodelscope\u002Fagentscope): Start building LLM-empowered multi-agent applications in an easier way. ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fmodelscope\u002Fagentscope?style=social)\n- [Memary](https:\u002F\u002Fgithub.com\u002Fkingjulio8238\u002Fmemary): Longterm Memory for Autonomous Agents. ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fkingjulio8238\u002Fmemary?style=social)\n- [Llmware](https:\u002F\u002Fgithub.com\u002Fllmware-ai\u002Fllmware): Providing enterprise-grade LLM-based development framework, tools, and fine-tuned models. ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fllmware-ai\u002Fllmware?style=social)\n- [Pipecat](https:\u002F\u002Fgithub.com\u002Fpipecat-ai\u002Fpipecat): Open Source framework for voice and multimodal conversational AI. ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fpipecat-ai\u002Fpipecat?style=social)\n- [Phidata](https:\u002F\u002Fgithub.com\u002Fphidatahq\u002Fphidata): Build AI Assistants with memory, knowledge and tools. ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fphidatahq\u002Fphidata?style=social)\n- [Rigging](https:\u002F\u002Fgithub.com\u002Fdreadnode\u002Frigging): Lightweight LLM Interaction Framework (rust) ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fdreadnode\u002Frigging?style=social)\n- [Vision agent](https:\u002F\u002Fgithub.com\u002Flanding-ai\u002Fvision-agent): Vision Agent is a library that helps you utilize agent frameworks to generate code to solve your vision task. ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Flanding-ai\u002Fvision-agent?style=social)\n- [llama-agents](https:\u002F\u002Fgithub.com\u002Frun-llama\u002Fllama-agents): llama-agents is an async-first framework for building, iterating, and productionizing multi-agent systems, including multi-agent communication, distributed tool execution, human-in-the-loop, and more ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Frun-llama\u002Fllama-agents?style=social)\n- [Claude Engineer](https:\u002F\u002Fgithub.com\u002FDoriandarko\u002Fclaude-engineer): Claude Engineer is an interactive command-line interface (CLI) that leverages the power of Anthropic's Claude-3.5-Sonnet model to assist with software development tasks. ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FDoriandarko\u002Fclaude-engineer?style=social)\n- [AI Scientist](https:\u002F\u002Fgithub.com\u002FSakanaAI\u002FAI-Scientist): The AI Scientist: Towards Fully Automated Open-Ended Scientific ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FSakanaAI\u002FAI-Scientist?style=social)\n- [DSPy](https:\u002F\u002Fgithub.com\u002Fstanfordnlp\u002Fdspy): The framework for programming—not prompting—foundation models ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fstanfordnlp\u002Fdspy?style=social)\n- [Eino](https:\u002F\u002Fgithub.com\u002Fcloudwego\u002Feino): Eino provides a Golang AI application development framework with various component integrations and the ability to orchestrate Chains and Graphs similar to LangChain and LangGraph. ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fcloudwego\u002Feino?style=social)\n- [TensorZero](https:\u002F\u002Fgithub.com\u002Ftensorzero\u002Ftensorzero): An open-source framework for building production-grade LLM applications. It unifies an LLM gateway, observability, optimization, evaluations, and experimentation. ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Ftensorzero\u002Ftensorzero?style=social)\n- [Bifrost](https:\u002F\u002Fgithub.com\u002Fmaximhq\u002Fbifrost): Bifrost is the fastest LLM gateway, with just 11μs overhead at 5,000 RPS, making it 50x faster than LiteLLM. ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fmaximhq\u002Fbifrost?style=social)\n- [Mastra AI](https:\u002F\u002Fgithub.com\u002Fmastra-ai\u002Fmastra): a framework for building AI-powered applications and agents with a modern TypeScript stack.\n\n## Complement to this list\n\n- [Open LLMs](https:\u002F\u002Fgithub.com\u002Feugeneyan\u002Fopen-llms): A list of open LLMs available for commercial use ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Feugeneyan\u002Fopen-llms?style=social)\n- [Awesome LLM](https:\u002F\u002Fgithub.com\u002FHannibal046\u002FAwesome-LLM): Awesome-LLM: a curated list of Large Language Model resources. ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FHannibal046\u002FAwesome-LLM?style=social)\n- [LLaMA Cult and More](https:\u002F\u002Fgithub.com\u002Fshm007g\u002FLLaMA-Cult-and-More): Keeping Track of Affordable LLMs, 🦙 Cult and More ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fshm007g\u002FLLaMA-Cult-and-More?style=social)\n- [Awesome Language Agents](https:\u002F\u002Fgithub.com\u002Fysymyth\u002Fawesome-language-agents): List of language agents based on paper \"Cognitive Architectures for Language Agents\" ![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fysymyth\u002Fawesome-language-agents?style=social)\n","# 🦜🔗 优秀的 LangChain [![Awesome](https:\u002F\u002Fawesome.re\u002Fbadge.svg)](https:\u002F\u002Fawesome.re) ![GitHub 仓库星级](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fkyrolabs\u002Fawesome-langchain?style=social)\n\n> 精选的使用 LangChain 的工具和项目列表。\n\nLangChain 是一个非常棒的框架，能够在短时间内完成大语言模型相关的项目，其生态系统也在迅速发展。这里尝试跟踪围绕 LangChain 的各种项目和活动。\n\n**[订阅新闻通讯](https:\u002F\u002Fawesomelangchain.substack.com\u002F)**，以随时了解 Awesome LangChain 的最新动态。我们每月会发送几封邮件，介绍那些引起我们关注的文章、视频、项目和工具。\n\n欢迎贡献！可以通过提交 Pull Request 添加链接，或创建 Issue 来发起讨论。请在贡献前阅读 [贡献指南](contributing.md)。\n\n## 目录\n\n- [🦜🔗 优秀的 LangChain ](#-awesome-langchain--)\n  - [目录](#table-of-contents)\n  - [LangChain 框架](#langchain-framework)\n  - [其他语言的移植](#ports-to-other-languages)\n  - [工具](#tools)\n    - [低代码](#low-code)\n    - [服务](#services)\n    - [代理](#agents)\n    - [模板](#templates)\n    - [平台](#platforms)\n  - [开源项目](#open-source-projects)\n    - [知识管理](#knowledge-management)\n    - [其他 \u002F 聊天机器人](#other--chatbots)\n  - [学习资源](#learn)\n    - [笔记本](#notebooks)\n    - [视频播放列表](#videos-playlists)\n  - [其他 LLM 框架](#other-llm-frameworks)\n  - [本列表的补充](#complement-to-this-list)\n  - [已不再维护](#unmaintained)\n\n## LangChain 框架\n\n- [LangChain](https:\u002F\u002Fgithub.com\u002Fhwchase17\u002Flangchain): 原始的 Python 版本 🐍 ![GitHub 仓库星级](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fhwchase17\u002Flangchain?style=social)\n- [LangChain.js](https:\u002F\u002Fgithub.com\u002Fhwchase17\u002Flangchainjs): JavaScript 版本 ✨ ![GitHub 仓库星级](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fhwchase17\u002Flangchainjs?style=social)\n- [概念文档](https:\u002F\u002Fdocs.langchain.com\u002Fdocs\u002F): LangChain 的概念说明\n- [Twitter 账号](https:\u002F\u002Ftwitter.com\u002FLangChainAI): 关注以获取最新动态\n- [YouTube 频道](https:\u002F\u002Fwww.youtube.com\u002Fchannel\u002FUCC-lyoTfSrcJzA1ab3APAgw)\n- [LangChain 博客](https:\u002F\u002Fblog.langchain.dev\u002F): LangChain 官方博客\n- [LangServe](https:\u002F\u002Fgithub.com\u002Flangchain-ai\u002Flangserve): LangServe 帮助开发者将 LangChain 的可运行组件和链部署为 REST API。![GitHub 仓库星级](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Flangchain-ai\u002Flangserve?style=social)\n\n## 其他语言的移植\n\n非官方的 LangChain 到其他语言的移植列表。\n\n- [Langchain Go](https:\u002F\u002Fgithub.com\u002Ftmc\u002Flangchaingo): Golang 版的 LangChain ![GitHub 仓库星级](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Ftmc\u002Flangchaingo?style=social)\n- [LangchainRb](https:\u002F\u002Fgithub.com\u002Fandreibondarev\u002Flangchainrb): Ruby 版的 LangChain ![GitHub 仓库星级](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fandreibondarev\u002Flangchainrb?style=social)\n- [LangChain4j](https:\u002F\u002Fgithub.com\u002Flangchain4j\u002Flangchain4j): Java 版的 LangChain ![GitHub 仓库星级](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Flangchain4j\u002Flangchain4j?style=social)\n- [LangChainDart](https:\u002F\u002Fgithub.com\u002Fdavidmigloz\u002Flangchain_dart): 构建强大的基于 LLM 的 Dart\u002FFlutter 应用程序。![GitHub 仓库星级](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fdavidmigloz\u002Flangchain_dart?style=social)\n- [Langchain-hs](https:\u002F\u002Fgithub.com\u002Ftusharad\u002Flangchain-hs): Haskell 版的 LangChain 实现。![GitHub 仓库星级](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Ftusharad\u002Flangchain-hs?style=social)\n- [Langchain](https:\u002F\u002Fgithub.com\u002Fbrainlid\u002Flangchain): Elixir 版的 LangChain 实现 ![GitHub 仓库星级](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fbrainlid\u002Flangchain?style=social)\n- [Langchain-rust](https:\u002F\u002Fgithub.com\u002FAbraxas-365\u002Flangchain-rust): Rust 版的 LangChain ![GitHub 仓库星级](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FAbraxas-365\u002Flangchain-rust?style=social)\n\n## 工具\n\n### 低代码\n\n- [Flowise](https:\u002F\u002Fgithub.com\u002FFlowiseAI\u002FFlowise): 拖放式 UI，用于使用 LangchainJS 构建自定义的 LLM 流程。![GitHub 仓库星级](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FFlowiseAI\u002FFlowise?style=social)\n- [Langflow](https:\u002F\u002Fgithub.com\u002Flogspace-ai\u002Flangflow): LangFlow 是一个面向 LangChain 的用户界面。![GitHub 仓库星级](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Flogspace-ai\u002Flangflow?style=social)\n- [Flock](https:\u002F\u002Fgithub.com\u002FOnelevenvy\u002Fflock): Flock 是一个基于工作流的低代码平台，可用于快速构建聊天机器人、RAG 系统，并协调多智能体团队。![GitHub 仓库星级](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FOnelevenvy\u002Fflock?style=social)\n\n### 服务\n\n- [GPTCache](https:\u002F\u002Fgithub.com\u002Fzilliztech\u002FGPTCache)：用于为大模型查询创建语义缓存的库 ![GitHub 仓库星级](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fzilliztech\u002FGPTCache?style=social)\n- [Gorilla](https:\u002F\u002Fgithub.com\u002FShishirPatil\u002Fgorilla)：面向大模型的 API 商店 ![GitHub 仓库星级](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FShishirPatil\u002Fgorilla?style=social)\n- [LlamaHub](https:\u002F\u002Fgithub.com\u002Femptycrown\u002Fllama-hub)：由社区打造的大模型数据加载器库 ![GitHub 仓库星级](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Femptycrown\u002Fllama-hub?style=social)\n- [Auto-evaluator](https:\u002F\u002Fgithub.com\u002FPineappleExpress808\u002Fauto-evaluator)：基于 Langchain 的轻量级问答评估工具 ![GitHub 仓库星级](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FPineappleExpress808\u002Fauto-evaluator?style=social)\n- [Langchain visualizer](https:\u002F\u002Fgithub.com\u002Famosjyng\u002Flangchain-visualizer)：用于 LangChain 工作流的可视化与调试工具 ![GitHub 仓库星级](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Famosjyng\u002Flangchain-visualizer?style=social)\n- [LLM Strategy](https:\u002F\u002Fgithub.com\u002FBlackHC\u002Fllm-strategy)：使用大模型实现策略模式 ![GitHub 仓库星级](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FBlackHC\u002Fllm-strategy?style=social)\n- [datasetGPT](https:\u002F\u002Fgithub.com\u002Fradi-cho\u002FdatasetGPT)：一个命令行界面，用于借助大模型生成文本和对话数据集。![GitHub 仓库星级](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fradi-cho\u002FdatasetGPT?style=social)\n- [Auto Evaluator](https:\u002F\u002Fgithub.com\u002Flangchain-ai\u002Fauto-evaluator)：Langchain 自动评估工具 ![GitHub 仓库星级](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Flangchain-ai\u002Fauto-evaluator?style=social)\n- [Jina](https:\u002F\u002Fgithub.com\u002Fjina-ai\u002Flangchain-serve)：使用 Jina 将 LangChain 应用部署到生产环境 ![GitHub 仓库星级](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fjina-ai\u002Flangchain-serve?style=social)\n- [Dify](https:\u002F\u002Fgithub.com\u002Flanggenius\u002Fdify)：一个 API 适用于插件和数据集，一个界面用于提示工程和可视化操作，旨在构建强大的 AI 应用。![GitHub 仓库星级](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Flanggenius\u002Fdify?style=social)\n- [Chainlit](https:\u002F\u002Fgithub.com\u002FChainlit\u002Fchainlit)：几分钟内即可构建 Python 大模型应用 ⚡️ ![GitHub 仓库星级](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FChainlit\u002Fchainlit?style=social)\n- [Langchain Decorators](https:\u002F\u002Fgithub.com\u002Fju-bezdek\u002Flangchain-decorators)：位于 LangChain 之上的层，为编写自定义 LangChain 提示和链提供语法糖 🍭 ![GitHub 仓库星级](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fju-bezdek\u002Flangchain-decorators?style=social)\n- [AilingBot](https:\u002F\u002Fgithub.com\u002Fericzhang-cn\u002Failingbot)：可快速将基于 LangChain 构建的应用集成到即时通讯工具中，如 Slack、企业微信、飞书、钉钉。\n- [Llama2 Embedding Server](https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fllama_embeddings_fastapi_service)：使用 LangChain 实现的 Llama2 嵌入 FastAPI 服务 ![GitHub 仓库星级](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FDicklesworthstone\u002Fllama_embeddings_fastapi_service?style=social)\n- [ChatAbstractions](https:\u002F\u002Fgithub.com\u002Fandrewnguonly\u002FChatAbstractions)：LangChain 聊天模型抽象层，支持动态故障转移、负载均衡、混沌工程等功能！![GitHub 仓库星级](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fandrewnguonly\u002FChatAbstractions?style=social)\n- [MindSQL](https:\u002F\u002Fgithub.com\u002FMindinventory\u002FMindSQL)：一款 Python 包，支持文本转 SQL 功能，并具备自托管能力及 RESTful API，兼容专有和开源大模型。![GitHub 仓库星级](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fmindinventory\u002Fmindsql?style=social)\n- [Llama-github](https:\u002F\u002Fgithub.com\u002FJetXu-LLM\u002Fllama-github)：Llama-github 是一个基于 Langchain 框架的 Python 库，可帮助您从 GitHub 中检索最相关的代码片段、问题和仓库信息。![GitHub 仓库星级](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FJetXu-LLM\u002Fllama-github?style=social)\n- [CopilotKit](https:\u002F\u002Fgithub.com\u002FCopilotKit\u002FCopilotKit)：用于构建自定义 AI 助理的框架 🤖，包括应用内 AI 聊天机器人、应用内 AI 代理以及 AI 驱动的文本框。![GitHub 仓库星级](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FCopilotKit\u002FCopilotKit?style=social)\n- [LangFair](https:\u002F\u002Fgithub.com\u002Fcvs-health\u002Flangfair)：LangFair 是一个 Python 库，用于进行特定用例的大模型偏见与公平性评估。![GitHub 仓库星级](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fcvs-health\u002Flangfair?style=social)\n- [LangWatch](https:\u002F\u002Fgithub.com\u002Flangwatch\u002Flangwatch)：一款开源工具，用于监控、评估和优化您的大模型应用及提示，开箱即用支持 LangChain！![GitHub 仓库星级](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Flangwatch\u002Flangwatch?style=social)\n- [Agentic Radar](https:\u002F\u002Fgithub.com\u002Fsplx-ai\u002Fagentic-radar)：一款开源 CLI 安全扫描工具，用于检测自主代理工作流中的漏洞，并生成交互式可视化结果及详细的安全报告。![GitHub 仓库星级](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fsplx-ai\u002Fagentic-radar?style=social)\n- [UQLM](https:\u002F\u002Fgithub.com\u002Fcvs-health\u002Fuqlm)：UQLM（语言模型不确定性量化）是一款 Python 库，利用最先进的不确定性量化技术来检测大模型幻觉现象。![GitHub 仓库星级](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fcvs-health\u002Fuqlm?style=social)\n\n### 代理\n\n- [Private GPT](https:\u002F\u002Fgithub.com\u002Fimartinez\u002FprivateGPT)：使用 GPT 的强大功能，私密地与您的文档互动，100% 隐私，无数据泄露 ![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fimartinez\u002FprivateGPT?style=social)\n- [CollosalAI Chat](https:\u002F\u002Fgithub.com\u002Fhpcaitech\u002FColossalAI\u002Ftree\u002Fmain\u002Fapplications\u002FChat)：基于 RLHF 的 LLM 实现，由 Colossal-AI 项目提供支持 ![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fhpcaitech\u002FColossalAI?style=social)\n- [CrewAI](https:\u002F\u002Fgithub.com\u002Fjoaomdmoura\u002Fcrewai)：用于编排角色扮演型自主 AI 代理的前沿框架。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fjoaomdmoura\u002Fcrewai?style=social)\n- [AgentGPT](https:\u002F\u002Fgithub.com\u002Freworkd\u002FAgentGPT)：结合 Langchain 和 OpenAI 的 AI 代理（Vercel \u002F Nextjs）![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Freworkd\u002FAgentGPT?style=social)\n- [Local GPT](https:\u002F\u002Fgithub.com\u002FPromtEngineer\u002FlocalGPT)：受 Private GPT 启发，将 GPT4ALL 模型替换为 Vicuna-7B 模型，并使用 InstructorEmbeddings 替代 LlamaEmbeddings ![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FPromtEngineer\u002FlocalGPT?style=social)\n- [GPT Researcher](https:\u002F\u002Fgithub.com\u002Fassafelovic\u002Fgpt-researcher)：GPT Researcher 是一款自主代理，专为执行各种任务的全面在线研究而设计。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fassafelovic\u002Fgpt-researcher?style=social)\n- [ThinkGPT](https:\u002F\u002Fgithub.com\u002Falaeddine-13\u002Fthinkgpt)：利用代理技术增强您的 LLM，使其突破极限 ![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Falaeddine-13\u002Fthinkgpt?style=social)\n- [Camel-AutoGPT](https:\u002F\u002Fgithub.com\u002FSamurAIGPT\u002FCamel-AutoGPT)：面向 LLM 和 BabyAGI、AutoGPT 等自动代理的角色扮演方法 ![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FSamurAIGPT\u002FCamel-AutoGPT?style=social)\n- [RasaGPT](https:\u002F\u002Fgithub.com\u002Fpaulpierre\u002FRasaGPT)：RasaGPT 是首个基于 Rasa 和 Langchain 构建的无头 LLM 聊天机器人平台。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fpaulpierre\u002FRasaGPT?style=social)\n- [SkyAGI](https:\u002F\u002Fgithub.com\u002Flitanlitudan\u002Fskyagi)：LLM 代理中新兴的人类行为模拟能力 ![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Flitanlitudan\u002Fskyagi?style=social)\n- [PyCodeAGI](https:\u002F\u002Fgithub.com\u002Fchakkaradeep\u002FpyCodeAGI)：一项小型 AGI 实验，可根据用户希望构建的应用需求生成 Python 应用程序 ![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fchakkaradeep\u002FpyCodeAGI?style=social)\n- [BabyAGI UI](https:\u002F\u002Fgithub.com\u002Fmiurla\u002Fbabyagi-ui)：通过类似 ChatGPT 的 Web 应用程序，更轻松地运行和开发 BabyAGI ![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fmiurla\u002Fbabyagi-ui?style=social)\n- [SuperAgent](https:\u002F\u002Fgithub.com\u002Fhomanp\u002Fsuperagent)：将 LLM 代理部署到生产环境 ![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fhomanp\u002Fsuperagent?style=social)\n- [Voyager](https:\u002F\u002Fgithub.com\u002FMineDojo\u002FVoyager)：一种基于大型语言模型的开放式具身代理 ![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FMineDojo\u002FVoyager?style=social)\n- [ix](https:\u002F\u002Fgithub.com\u002Fkreneskyp\u002Fix)：自主 GPT-4 代理平台 ![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fkreneskyp\u002Fix?style=social)\n- [DuetGPT](https:\u002F\u002Fgithub.com\u002Fkristoferlund\u002Fduet-gpt)：一款对话式半自主开发者助手，实现无需复制粘贴的 AI 配对编程。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fkristoferlund\u002Fduet-gpt?style=social)\n- [多模态 LangChain 代理在生产中的应用](https:\u002F\u002Fgithub.com\u002Fsteamship-packages\u002Flangchain-agent-production-starter)：部署 LangChain 代理并将其连接到 Telegram ![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fsteamship-packages\u002Flangchain-agent-production-starter?style=social)\n- [DemoGPT](https:\u002F\u002Fgithub.com\u002Fmelih-unsal\u002FDemoGPT)：DemoGPT 让您只需使用提示词即可快速创建演示。它将 ToT 方法应用于 Langchain 文档树。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fmelih-unsal\u002FDemoGPT?style=social)\n- [SuperAGI](https:\u002F\u002Fgithub.com\u002FTransformerOptimus\u002FSuperAGI)：SuperAGI——一个以开发者为中心的开源自主 AI 代理框架 ![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FTransformerOptimus\u002FSuperAGI?style=social)\n- [自主 HR 聊天机器人](https:\u002F\u002Fgithub.com\u002Fstepanogil\u002Fautonomous-hr-chatbot)：一款能够利用自身工具自主回答人力资源相关问题的自主代理 ![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fstepanogil\u002Fautonomous-hr-chatbot?style=social)\n- [BlockAGI](https:\u002F\u002Fgithub.com\u002Fblockpipe\u002Fblockagi)：BlockAGI 进行迭代式的领域特定研究，并输出详细叙述性报告以展示其研究成果 ![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fblockpipe\u002Fblockagi?style=social)\n- [waggledance.ai](https:\u002F\u002Fgithub.com\u002Fagi-merge\u002Fwaggle-dance)：一套有明确观点的并发 AI 代理系统。它采用“计划-验证-解决”模式，配备数据和工具，用于解决一般性目标。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fagi-merge\u002Fwaggle-dance?style=social)\n\n### 模板\n\n- [AI](https:\u002F\u002Fgithub.com\u002Fvercel-labs\u002Fai)：Vercel 提供的模板，用于使用 React、Svelte 和 Vue 构建 AI 驱动的应用程序，并对 LangChain 提供一流的支持 ![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fvercel-labs\u002Fai?style=social)\n- [create-t3-turbo-ai](https:\u002F\u002Fgithub.com\u002Fzckly\u002Fcreate-t3-turbo-ai)：基于 t3 的框架，专为构建类型安全、全栈式、由 LLM 驱动的 Next.js 和 Prisma Web 应用程序而设计，且与 LangChain 兼容 ![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fzckly\u002Fcreate-t3-turbo-ai?style=social)\n- [LangChain.js LLM 模板](https:\u002F\u002Fgithub.com\u002FConner1115\u002FLangChain.js-LLM-Template)：一个 LangChain LLM 模板，允许你训练自己的自定义 AI LLM 模型。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FConner1115\u002FLangChain.js-LLM-Template?style=social)\n- [Streamlit 模板](https:\u002F\u002Fgithub.com\u002Fhwchase17\u002Flangchain-streamlit-template)：展示如何在 Streamlit 上部署 LangChain 的模板 ![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fhwchase17\u002Flangchain-streamlit-template?style=social)\n- [Codespaces 模板](https:\u002F\u002Fgithub.com\u002Flostintangent\u002Fcodespaces-langchain)：一个 Codespaces 模板，让你在几秒钟内快速上手 LangChain！![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Flostintangent\u002Fcodespaces-langchain?style=social)\n- [Gradio 模板](https:\u002F\u002Fgithub.com\u002Fhwchase17\u002Flangchain-gradio-template)：展示如何在 Gradio 上部署 LangChain 的模板 ![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fhwchase17\u002Flangchain-gradio-template?style=social)\n- [AI 入门](https:\u002F\u002Fgithub.com\u002Fa16z-infra\u002Fai-getting-started)：一套适用于周末项目的 JavaScript AI 入门技术栈，包含图像\u002F文本模型、向量存储、身份验证和部署配置等。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fa16z-infra\u002Fai-getting-started?style=social)\n- [Embedchain](https:\u002F\u002Fgithub.com\u002Fembedchain\u002Fembedchain)：一个框架，可轻松基于任何数据集创建 LLM 驱动的聊天机器人。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fembedchain\u002Fembedchain?style=social)\n\n### 平台\n\n- [Openllmetry](https:\u002F\u002Fgithub.com\u002Ftraceloop\u002Fopenllmetry)：基于 OpenTelemetry 的开源 LLM 应用可观测性工具 ![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Ftraceloop\u002Fopenllmetry?style=social)\n- [traceAI](https:\u002F\u002Fgithub.com\u002Ffuture-agi\u002FtraceAI)：一款原生支持 OpenTelemetry 的 LLM 应用追踪框架，内置 LangChain 仪器化功能，并兼容 20 多种框架。[![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Ffuture-agi\u002FtraceAI?style=social)](https:\u002F\u002Fgithub.com\u002Ffuture-agi\u002FtraceAI)\n\n## 开源项目\n\n### 知识管理\n\n- [Quiver](https:\u002F\u002Fgithub.com\u002FStanGirard\u002Fquiver)：将你的大脑内容导入到生成式 AI 保险库中 ![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FStanGirard\u002Fquiver?style=social)\n- [DocsGPT](https:\u002F\u002Fgithub.com\u002Farc53\u002Fdocsgpt)：基于 GPT 的文档搜索与辅助聊天工具。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Farc53\u002Fdocsgpt?style=social)\n- [Chaindesk](https:\u002F\u002Fgithub.com\u002Fgmpetrov\u002Fdataberry)：一款无需编码的语义搜索与文档检索平台 ![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fgmpetrov\u002Fdataberry?style=social)\n- [Knowledge GPT](https:\u002F\u002Fgithub.com\u002Fmmz-001\u002Fknowledge_gpt)：为你提供准确的答案和即时引用的文档助手。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fmmz-001\u002Fknowledge_gpt?style=social)\n- [Knowledge](https:\u002F\u002Fgithub.com\u002FKnowledgeCanvas\u002Fknowledge)：一款用于保存、搜索、访问和探索你喜爱的网站、文档和文件的工具。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FKnowledgeCanvas\u002Fknowledge?style=social)\n- [Anything LLM](https:\u002F\u002Fgithub.com\u002FMintplex-Labs\u002Fanything-llm)：一个全栈应用，可将任意文档转化为智能聊天机器人，拥有简洁的 UI 和更便捷的工作空间管理方式。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FMintplex-Labs\u002Fanything-llm?style=social)\n- [DocNavigator](https:\u002F\u002Fgithub.com\u002Fvgulerianb\u002FDocNavigator)：一款基于 AI 的聊天机器人构建工具，旨在提升产品文档和支持网站的用户体验。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fvgulerianb\u002FDocNavigator?style=social)\n- [ChatFiles](https:\u002F\u002Fgithub.com\u002Fguangzhengli\u002FChatFiles)：上传你的文档并与其进行对话。由 GPT、嵌入模型、TypeScript 和 NextJS 驱动。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fguangzhengli\u002FChatFiles?style=social)\n- [DataChad](https:\u002F\u002Fgithub.com\u002Fgustavz\u002FDataChad)：一个 Streamlit 应用，允许你与任何数据源对话。同时支持 OpenAI 和本地模式下的 GPT4All。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fgustavz\u002FDataChad?style=social)\n- [Second Brain AI Agent](https:\u002F\u002Fgithub.com\u002Fflepied\u002Fsecond-brain-agent)：一款 Streamlit 应用，可通过 OpenAI 和 ChromaDB 在本地与你的“第二大脑”笔记进行对话。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fflepied\u002Fsecond-brain-agent?style=social)\n- [examor](https:\u002F\u002Fgithub.com\u002Fcodeacme17\u002Fexamor)：一个基于知识笔记的在线考试应用，帮助你真正记住所学和所写的内容。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fcodeacme17\u002Fexamor?style=social)\n- [Repochat](https:\u002F\u002Fgithub.com\u002Fpnkvalavala\u002Frepochat)：一款利用 LLM 结合检索增强生成技术实现 GitHub 仓库交互的聊天机器人助手。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fpnkvalavala\u002Frepochat?style=social)\n- [SolidGPT](https:\u002F\u002Fgithub.com\u002FAI-Citizen\u002FSolidGPT)：与你的代码仓库进行全方位对话，提出仓库级别的代码问题，并讨论需求。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FAI-Citizen\u002FSolidGPT?style=social)\n- [Minima](https:\u002F\u002Fgithub.com\u002Fdmayboroda\u002Fminima)：与本地文档对话，将本地环境连接到 ChatGPT 或 Claude。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fdmayboroda\u002Fminima?style=social)\n\n### 其他 \u002F 聊天机器人\n\n- [DB GPT](https:\u002F\u002Fgithub.com\u002Fcsunny\u002FDB-GPT): 使用本地 GPT 与您的数据和环境交互，无数据泄露，100% 私密，100% 安全！![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fcsunny\u002FDB-GPT?style=social)\n- [AudioGPT](https:\u002F\u002Fgithub.com\u002FAIGC-Audio\u002FAudioGPT): 理解并生成语音、音乐、声音及对话头像！![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FAIGC-Audio\u002FAudioGPT?style=social)\n- [Paper QA](https:\u002F\u002Fgithub.com\u002Fwhitead\u002Fpaper-qa): 基于引用回答文档问题的 LLM 链！![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fwhitead\u002Fpaper-qa?style=social)\n- [Chat Langchain](https:\u002F\u002Fgithub.com\u002Fhwchase17\u002Fchat-langchain): 本地托管的聊天机器人，专门针对 LangChain 文档进行问答！![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fhwchase17\u002Fchat-langchain?style=social)\n- [Langchain Chat](https:\u002F\u002Fgithub.com\u002Fzahidkhawaja\u002Flangchain-chat-nextjs): 另一个基于 Next.js 的 LangChain 聊天前端。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fzahidkhawaja\u002Flangchain-chat-nextjs?style=social)\n- [Book GPT](https:\u002F\u002Fgithub.com\u002Ffraserxu\u002Fbook-gpt): 放入一本书，即可开始提问。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Ffraserxu\u002Fbook-gpt?style=social)\n- [Doc Search](https:\u002F\u002Fgithub.com\u002Fnamuan\u002Fdr-doc-search): 与书籍对话——基于 GPT-3 构建！![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fnamuan\u002Fdr-doc-search?style=social)\n- [Fact Checker](https:\u002F\u002Fgithub.com\u002Fjagilley\u002Ffact-checker): 使用 LangChain 检查 LLM 输出的真实性！![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fjagilley\u002Ffact-checker?style=social)\n- [MM ReAct](https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002FMM-REACT): 多模态 ReAct 设计\n- [QABot](https:\u002F\u002Fgithub.com\u002Fhardbyte\u002Fqabot): 使用自然语言查询本地或远程文件、数据库，由 LangChain 和 OpenAI 提供支持！![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fhardbyte\u002Fqabot?style=social)\n- [FlowGPT](https:\u002F\u002Fgithub.com\u002Fnilooy\u002Fflowgpt): 利用 AI 生成流程图！![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fnilooy\u002Fflowgpt?style=social)\n- [langchain-text-summarizer](https:\u002F\u002Fgithub.com\u002Falphasecio\u002Flangchain-text-summarizer): 使用 LangChain 总结文本的 Streamlit 示例应用！![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Falphasecio\u002Flangchain-text-summarizer?style=social)\n- [Langchain Chat Websocket](https:\u002F\u002Fgithub.com\u002Fpors\u002Flangchain-chat-websockets): 关于 LangChain LLM 聊天，通过 WebSocket 实现流式响应！![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fpors\u002Flangchain-chat-websockets?style=social)\n- [langchain_yt_tools](https:\u002F\u002Fgithub.com\u002Fvenuv\u002Flangchain_yt_tools): 用于搜索、提取和转录 YouTube 视频字幕的 LangChain 工具！![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fvenuv\u002Flangchain_yt_tools?style=social)\n- [ThoughtSource⚡](https:\u002F\u002Fgithub.com\u002FOpenBioLink\u002FThoughtSource): 机器思维科学框架！![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FOpenBioLink\u002FThoughtSource?style=social)\n- [ChatGPT Langchain](https:\u002F\u002Fhuggingface.co\u002Fspaces\u002FJavaFXpert\u002FChat-GPT-LangChain): 在 Huggingface 上使用 LangChain 构建的 ChatGPT 克隆版\n- [Chat Math Techniques](https:\u002F\u002Fhuggingface.co\u002Fspaces\u002FJavaFXpert\u002Fgpt-math-techniques): 在 Huggingface 上使用数学技巧的 LangChain 聊天\n- [Notion QA](https:\u002F\u002Fgithub.com\u002Fhwchase17\u002Fnotion-qa): Notion 问答机器人！![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fhwchase17\u002Fnotion-qa?style=social)\n- [QNimGPT](https:\u002F\u002Fhuggingface.co\u002Fspaces\u002Frituthombre\u002FQNim): 与 IBM 量子计算机模拟器或 OpenAI GPT-3.5 玩 Nim 游戏。\n- [ChatPDF](https:\u002F\u002Fgithub.com\u002Fakshata29\u002Fchatpdf): ChatGPT + 企业数据，结合 Azure OpenAI！![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fakshata29\u002Fchatpdf?style=social)\n- [Chat with Scanned Documents](https:\u002F\u002Fgithub.com\u002Ftony-xlh\u002FChat-with-Scanned-Documents): 使用 Dynamic Web TWAIN 扫描的文档进行聊天的演示。\n- [snowChat ❄️](https:\u002F\u002Fgithub.com\u002Fkaarthik108\u002FsnowChat): 与您的 Snowflake 数据库聊天！![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fkaarthik108\u002FsnowChat?style=social)\n- [TutorGPT](https:\u002F\u002Fgithub.com\u002Fplastic-labs\u002Ftutor-gpt): 针对辅导任务的动态少样本元提示技术！![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fplastic-labs\u002Ftutor-gpt?style=social)\n- [Cheshire Cat](https:\u002F\u002Fgithub.com\u002Fcheshire-cat-ai\u002Fcore): 自定义 AGI 机器人，配备即用型聊天集成和插件开发平台！![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fcheshire-cat-ai\u002Fcore?style=social)\n- [Dialoqbase](https:\u002F\u002Fgithub.com\u002Fn4ze3m\u002Fdialoqbase): 一款允许您使用自有知识库创建自定义聊天机器人的 Web 应用程序！![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fn4ze3m\u002Fdialoqbase?style=social)\n- [CSV-AI 🧠](https:\u002F\u002Fpython.langchain.com\u002Fen\u002Flatest\u002Fmodules\u002Findexes\u002Fdocument_loaders\u002Fexamples\u002Fsnowflake.html): CSV-AI 是一款由 LangChain 提供支持的终极应用，可帮助您从 CSV 文件中挖掘隐藏的洞察。\n- [MindGeniusAI](https:\u002F\u002Fgithub.com\u002Fxianjianlf2\u002FMindGeniusAI): 使用 ChatGPT 自动生成思维导图！![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fxianjianlf2\u002FMindGeniusAI?style=social)\n- [Robby-Chatbot](https:\u002F\u002Fgithub.com\u002Fyvann-hub\u002FRobby-chatbot): 一款 AI 聊天机器人 🤖，可用于与 CSV、PDF、TXT 文件 📄 以及 YTB 视频 🎥 对话 | 使用 LangChain🦜 | OpenAI | Streamlit ⚡。\n- [AI Chatbot](https:\u002F\u002Fgithub.com\u002Fvercel-labs\u002Fai-chatbot): Vercel Labs 打造的一款功能齐全、可 hack 的 Next.js AI 聊天机器人！![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fvercel-labs\u002Fai-chatbot?style=social)\n- [Instrukt](https:\u002F\u002Fgithub.com\u002Fblob42\u002FInstrukt): 终端中的完整 AI 环境。构建、测试并指导智能体。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fblob42\u002FInstrukt?style=social)\n- [OpenChat](https:\u002F\u002Fgithub.com\u002Fopenchatai\u002FOpenChat\u002F): LLM 自定义聊天机器人控制台 ⚡。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fopenchatai\u002FOpenChat?style=social)\n- [GPT Migrate](https:\u002F\u002Fgithub.com\u002F0xpayne\u002Fgpt-migrate): 轻松将您的代码库从一个框架或语言迁移到另一个。\n- [Code Interpreter API](https:\u002F\u002Fgithub.com\u002Fshroominic\u002Fcodeinterpreter-api): 关于 ChatGPT Code Interpreter 的开源实现！![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fshroominic\u002Fcodeinterpreter-api?style=social)\n- [Lobe Chat](https:\u002F\u002Fgithub.com\u002Flobehub\u002Flobe-chat)：一款开源、可扩展（函数调用）、高性能的聊天机器人框架！![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Flobehub\u002Flobe-chat?style=social)\n- [Funcchain](https:\u002F\u002Fgithub.com\u002Fshroominic\u002Ffuncchain): 以 Python 式的方式编写提示词！![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fshroominic\u002Ffuncchain?style=social)\n- [PersonalityChatbot](https:\u002F\u002Fgithub.com\u002Fbtrcm00\u002Fchatbot-with-langchain): 使用 LangChain🦜 | LangSmith | MongoDB 进行个性化聊天的 LangChain 聊天机器人！![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fbtrcm00\u002Fchatbot-with-langchain?style=social)\n- [XAgent](https:\u002F\u002Fgithub.com\u002FOpenBMB\u002FXAgent): 用于解决复杂任务的自主 LLM 代理！![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FOpenBMB\u002FXAgent?style=social)\n- [MemFree](https:\u002F\u002Fgithub.com\u002Fmemfreeme\u002Fmemfree) - 开源混合 AI 搜索引擎，可立即从互联网、书签、笔记和文档中获取准确答案。支持一键部署。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fmemfreeme\u002Fmemfree?style=social)\n\n## 学习\n\n### 笔记本\n\n- [Langchain 教程](https:\u002F\u002Fgithub.com\u002Fgkamradt\u002Flangchain-tutorials)：LangChain 库的概述与教程 ![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fgkamradt\u002Flangchain-tutorials?style=social)\n- [LangChain 中文入门指南](https:\u002F\u002Fgithub.com\u002FliaokongVFX\u002FLangChain-Chinese-Getting-Started-Guide)：面向初学者的中文 LangChain 教程 ![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FliaokongVFX\u002FLangChain-Chinese-Getting-Started-Guide?style=social)\n- [Flan5 LLM](https:\u002F\u002Fcolab.research.google.com\u002Fdrive\u002F1AVh9dOsG9DKzfK7gOFrJuitPIcLPqlbO?usp=sharing)：使用 LangChain 进行思维链和多任务指令的 PDF 问答，基于 HuggingFace 上的 Flan5 模型\n- [LangChain 手册](https:\u002F\u002Fgithub.com\u002Fpinecone-io\u002Fexamples\u002Ftree\u002Fmaster\u002Fgeneration\u002Flangchain\u002Fhandbook)：Pinecone \u002F James Briggs 的 LangChain 手册\n- [查询 YouTube 视频字幕](https:\u002F\u002Fcolab.research.google.com\u002Fdrive\u002F1sKSTjt9cPstl_WMZ86JsgEqFG-aSAwkn?usp=sharing)：查询 YouTube 视频字幕，并返回时间戳作为答案的来源以增强可信度\n- [llm-lobbyist](https:\u002F\u002Fgithub.com\u002FJohnNay\u002Fllm-lobbyist)：大型语言模型作为企业游说者\n- [Langchain 语义搜索](https:\u002F\u002Fgithub.com\u002Fvenuv\u002Flangchain_semantic_search)：使用 GPT3、LangChain 和 Python 搜索并索引您自己的 Google Drive 文件\n- [GPT 政治光谱](https:\u002F\u002Fcolab.research.google.com\u002Fdrive\u002F1xt2IsFPGYMEQdoJFNgWNAjWGxa60VXdV)\n- [llm-grovers-search-party](https:\u002F\u002Fgithub.com\u002FJavaFXpert\u002Fllm-grovers-search-party)：利用 Qiskit、OpenAI 和 LangChain 展示格罗弗算法\n- [TextWorld ReAct 代理](https:\u002F\u002Fcolab.research.google.com\u002Fdrive\u002F19WTIWC3prw5LDMHmRMvqNV2loD9FHls6?usp=sharing)\n- [LangChain 与 Wolfram Alpha](https:\u002F\u002Fcolab.research.google.com\u002Fdrive\u002F1AAyEdTz-Z6ShKvewbt1ZHUICqak0MiwR?usp=sharing)\n- [自带知识图谱](https:\u002F\u002Fgithub.com\u002Fprof-frink-lab\u002Fslangchain\u002Fblob\u002Fmain\u002Fdocs\u002Fmodules\u002Fknowledge_graph\u002Fexamples\u002Fbyo_knowledge_graph.ipynb)\n- [大型语言模型课程](https:\u002F\u002Fgithub.com\u002Fperemartra\u002FLarge-Language-Model-Notebooks-Course) ![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fperemartra\u002FLarge-Language-Model-Notebooks-Course?style=social)\n- [学习 LangChain (JS)](https:\u002F\u002Fgithub.com\u002Fiparesh18\u002FLearn-LangChain)——一个结构化、以示例为导向的 LangChain JS 学习仓库，涵盖提示词、链条、工具、嵌入、RAG、智能体、Puppeteer 网页抓取以及基于 LangGraph 的多智能体工作流。\n\n\n### 视频播放列表\n\n- [Sam Witteveen 的 LangChain 系列](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=J_0qvRt4LNk&list=PL8motc6AQftk1Bs42EW45kwYbyJ4jOdiZ)\n- [LangChain 教程播放列表](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL611FKPtL866MnlDPHvI3KwVGqCB-QJAx)\n- [LangChain James Briggs 播放列表](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=nE2skSRWTTs&list=PLIUOU7oqGTLieV9uTIFMm6_4PXg-hlN6F)\n- [Greg Kamradt 播放列表](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=_v_fgW2SkkQ&list=PLqZXAkvF1bPNQER9mLmDbntNfSpzdDIU5)\n\n## 其他 LLM 框架\n\n- [Transformers Agents](https:\u002F\u002Fhuggingface.co\u002Fdocs\u002Ftransformers\u002Ftransformers_agents): 在 Transformers 模型之上提供自然语言 API\n- [LlamaIndex](https:\u002F\u002Fgithub.com\u002Fjerryjliu\u002Fllama_index): 提供一个中心化接口，用于将你的大语言模型与外部数据连接。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fjerryjliu\u002Fllama_index?style=social)\n- [Botpress](https:\u002F\u002Fgithub.com\u002Fbotpress\u002Fbotpress): 构建聊天机器人的基础组件 ![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fbotpress\u002Fbotpress?style=social)\n- [Haystack](https:\u002F\u002Fgithub.com\u002Fdeepset-ai\u002Fhaystack): 使用 Transformer 模型和大语言模型与数据交互的 NLP 框架 ![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fdeepset-ai\u002Fhaystack?style=social)\n- [Semantic Kernel](https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fsemantic-kernel): 微软提供的 C# SDK，可快速简便地将前沿的大语言模型技术集成到你的应用中 ![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fmicrosoft\u002Fsemantic-kernel?style=social)\n- [Promptify](https:\u002F\u002Fgithub.com\u002Fpromptslab\u002FPromptify): 提示工程 | 使用 GPT 或其他基于提示的模型获取结构化输出。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fpromptslab\u002FPromptify?style=social)\n- [PromptSource](https:\u002F\u002Fgithub.com\u002Fbigscience-workshop\u002Fpromptsource): 关于创建、分享和使用自然语言提示的工具包。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fbigscience-workshop\u002Fpromptsource?style=social)\n- [Agent-LLM](https:\u002F\u002Fgithub.com\u002FJosh-XT\u002FAgent-LLM): 一个人工智能自动化平台。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FJosh-XT\u002FAgent-LLM?style=social)\n- [LLM Agents](https:\u002F\u002Fgithub.com\u002Fmpaepper\u002Fllm_agents): 构建由大语言模型控制的智能体 ![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fmpaepper\u002Fllm_agents?style=social)\n- [MiniChain](https:\u002F\u002Fgithub.com\u002Fsrush\u002FMiniChain): 一个用于与大型语言模型协作的小型库。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fsrush\u002FMiniChain?style=social)\n- [Griptape](https:\u002F\u002Fgithub.com\u002Fgriptape-ai\u002Fgriptape): 一个用于 AI 工作流和管道的 Python 框架，具备思维链推理、外部工具和记忆功能。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fgriptape-ai\u002Fgriptape?style=social)\n- [llm-chain](https:\u002F\u002Fgithub.com\u002Fsobelio\u002Fllm-chain): 是一个功能强大的 Rust crate，用于在大语言模型中构建链条，从而实现文本摘要和复杂任务的完成。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fsobelio\u002Fllm-chain?style=social)\n- [OpenLM](https:\u002F\u002Fgithub.com\u002Fr2d4\u002Fopenlm): 一个即插即用的 OpenAI 兼容库，能够调用任何其他托管推理 API 的大语言模型。同时也有 [Typescript 版本](https:\u002F\u002Fgithub.com\u002Fr2d4\u002Fllm.ts) ![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fr2d4\u002Fopenlm?style=social)\n- [Dust](https:\u002F\u002Fgithub.com\u002Fdust-tt\u002Fdust): 设计和部署大型语言模型应用 ![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fdust-tt\u002Fdust?style=social)\n- [e2b](https:\u002F\u002Fgithub.com\u002Fe2b-dev\u002Fe2b): 一个开源平台，用于构建和部署虚拟开发者助手\n- [SmartGPT](https:\u002F\u002Fgithub.com\u002FCormanz\u002Fsmartgpt): 一个程序，通过插件使大语言模型能够完成复杂任务。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FCormanz\u002Fsmartgpt?style=social)\n- [TermGPT](https:\u002F\u002Fgithub.com\u002FSentdex\u002FTermGPT): 让像 GPT-4 这样的大语言模型具备计划和执行终端命令的能力 ![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FSentdex\u002FTermGPT?style=social)\n- [ReLLM](https:\u002F\u002Fgithub.com\u002Fr2d4\u002Frellm): 针对语言模型补全的正则表达式。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fr2d4\u002Frellm?style=social)\n- [OpenDAN](https:\u002F\u002Fgithub.com\u002Ffiatrete\u002FOpenDAN-Personal-AI-OS): 开源个人 AI 操作系统，将各种 AI 模块整合到一处，供个人使用。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Ffiatrete\u002FOpenDAN-Personal-AI-OS?style=social)\n- [OpenLLM](https:\u002F\u002Fgithub.com\u002Fbentoml\u002FOpenLLM): 一个开放平台，用于在生产环境中运行大型语言模型（LLMs）。使用 OpenLLM 可以轻松微调、服务、部署和监控任何 LLM。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fbentoml\u002FOpenLLM?style=social)\n- [FlagAI](https:\u002F\u002Fgithub.com\u002FFlagAI-Open\u002FFlagAI): FlagAI（快速大规模通用 AI 模型）是一个快速、易用且可扩展的大规模模型工具包。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FFlagAI-Open\u002FFlagAI?style=social)\n- [AI.JSX](https:\u002F\u002Fgithub.com\u002Ffixie-ai\u002Fai-jsx): 用于 JavaScript 的 AI 应用框架 ![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Ffixie-ai\u002Fai-jsx?style=social)\n- [AI Utils](https:\u002F\u002Fgithub.com\u002Flgrammel\u002Fai-utils.js): 一个以 TypeScript 优先的库，用于构建 AI 应用、聊天机器人和智能体。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Flgrammel\u002Fai-utils.js?style=social)\n- [MetaGPT](https:\u002F\u002Fgithub.com\u002Fgeekan\u002FMetaGPT): 多智能体元编程框架：只需一行需求，即可返回 PRD、设计、任务列表、代码仓库和 CI 流程。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fgeekan\u002FMetaGPT?style=social)\n- [Hyv](https:\u002F\u002Fgithub.com\u002Ffailfa-st\u002Fhyv): 也许是在 Node.js 中使用任何 AI 模型并轻松创建复杂交互的最简单方法。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Ffailfa-st\u002Fhyv?style=social)\n- [Autochain](https:\u002F\u002Fgithub.com\u002FForethought-Technologies\u002FAutoChain): 使用 AutoChain 构建轻量级、可扩展且可测试的大语言模型智能体。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FForethought-Technologies\u002FAutoChain?style=social)\n- [TypeChat](https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002FTypeChat): TypeChat 是一个库，可以让你轻松地使用类型来构建自然语言界面。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fmicrosoft\u002FTypeChat?style=social)\n- [Marvin](https:\u002F\u002Fgithub.com\u002FPrefectHQ\u002Fmarvin): ✨ 构建令人愉悦的 AI 界面 ![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FPrefectHQ\u002Fmarvin?style=social)\n- [LMQL](https:\u002F\u002Fgithub.com\u002Feth-sri\u002Flmql): 一种用于大型语言模型的编程语言。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Feth-sri\u002Flmql?style=social)\n- [LLMFlow](https:\u002F\u002Fgithub.com\u002Fstoyan-stoyanov\u002Fllmflows): 简单、明确且透明的大语言模型应用 ![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fstoyan-stoyanov\u002Fllmflows?style=social)\n- [Ax](https:\u002F\u002Fgithub.com\u002Faxilla-io\u002Fax): 一个全面的 TypeScript AI 框架 ![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Faxilla-io\u002Fax?style=social)\n- [TextAI](https:\u002F\u002Fgithub.com\u002Fneuml\u002Ftxtai): 💡 一个一体化的开源嵌入数据库，适用于语义搜索、大语言模型编排和语言模型工作流。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fneuml\u002Ftxtai?style=social)\n- [AgentFlow](https:\u002F\u002Fgithub.com\u002Fsimonmesmith\u002Fagentflow): 从简单的 JSON 构建复杂的大语言模型工作流。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fsimonmesmith\u002Fagentflow?style=social)\n- [Outlines](https:\u002F\u002Fgithub.com\u002Fnormal-computing\u002Foutlines): 快速可靠的神经网络文本生成。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fnormal-computing\u002Foutlines?style=social)\n- [SimpleAIChat](https:\u002F\u002Fgithub.com\u002Fminimaxir\u002Fsimpleaichat): 一个易于与聊天应用对接的 Python 包，具有强大功能且代码复杂度极低。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fminimaxir\u002Fsimpleaichat?style=social)\n- [LLFn](https:\u002F\u002Fgithub.com\u002Forgexyz\u002FLLFn): 一个轻量级框架，用于利用大语言模型创建应用程序 ![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Forgexyz\u002FLLFn?style=social)\n- [LLMStack](https:\u002F\u002Fgithub.com\u002Ftrypromptly\u002FLLMStack): 一个无需编码的平台，用于构建基于大语言模型的应用程序，并使用自定义数据。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Ftrypromptly\u002FLLMStack?style=social)\n- [Lagent](https:\u002F\u002Fgithub.com\u002FInternLM\u002Flagent): 一个轻量级框架，用于构建基于大语言模型的智能体 ![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FInternLM\u002Flagent?style=social)\n- [Embedbase](https:\u002F\u002Fgithub.com\u002Fdifferent-ai\u002Fembedbase): 用于构建 AI 驱动应用的原生软件 3.0 堆栈。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fdifferent-ai\u002Fembedbase?style=social)\n- [Rivet](https:\u002F\u002Fgithub.com\u002FIronclad\u002Frivet): 一个 IDE，用于创建复杂的 AI 智能体和提示链，并将其嵌入到你的应用中。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FIronclad\u002Frivet?style=social)\n- [Promptfoo](https:\u002F\u002Fgithub.com\u002Fpromptfoo\u002Fpromptfoo): 测试你的提示。评估和比较大语言模型的输出，捕捉回归问题，提升提示质量。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fpromptfoo\u002Fpromptfoo?style=social)\n- [RestGPT](https:\u002F\u002Fgithub.com\u002FYifan-Song793\u002FRestGPT): 一个基于大语言模型的自主智能体，通过 RESTful API 控制现实世界的应用。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FYifan-Song793\u002FRestGPT?style=social)\n- [LangStream](https:\u002F\u002Fgithub.com\u002FLangStream\u002Flangstream): 一个框架，用于构建和运行事件驱动的大语言模型应用，支持无代码和 Python（包括基于 LangChain 的）智能体。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FLangStream\u002Flangstream?style=social)\n- [Magentic](https:\u002F\u002Fgithub.com\u002Fjackmpcollins\u002Fmagentic): 将大语言模型无缝集成为 Python 函数 ![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fjackmpcollins\u002Fmagentic?style=social)\n- [Autogen](https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fautogen): 启用下一代大型语言模型应用。\n- [AgentVerse](https:\u002F\u002Fgithub.com\u002Fopenbmb\u002Fagentverse) 提供一个灵活的框架，简化了为大语言模型构建自定义多智能体环境的过程。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fopenbmb\u002Fagentverse?style=social)\n- [Flappy](https:\u002F\u002Fgithub.com\u002Fpleisto\u002Fflappy): 一个面向所有开发者的生产就绪的大语言模型智能体 SDK。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fpleisto\u002Fflappy.svg?style=social)\n- [MemGPT](https:\u002F\u002Fgithub.com\u002Fcpacker\u002FMemGPT): 教授大语言模型进行内存管理，以实现无限上下文。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fcpacker\u002FMemGPT?style=social)\n- [Agentlabs](https:\u002F\u002Fgithub.com\u002Fagentlabs-inc\u002Fagentlabs): 一个通用的 AI 智能体前端。你构建后端，剩下的交给我们。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fagentlabs-inc\u002Fagentlabs?style=social)\n- [axflow](https:\u002F\u002Fgithub.com\u002Faxflow\u002Faxflow): 一个用于 AI 开发的 TypeScript 框架 ![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Faxflow\u002Faxflow?style=social)\n- [bondai](https:\u002F\u002Fgithub.com\u002Fkrohling\u002Fbondai): 一款 AI 驱动的助手，拥有轻量级、多功能的 API，可无缝集成到你的应用中。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fkrohling\u002Fbondai?style=social)\n- [Chidori](https:\u002F\u002Fgithub.com\u002FThousandBirdsInc\u002Fchidori): 一个反应式运行时，用于构建持久的 AI 智能体。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FThousandBirdsInc\u002Fchidori?style=social)\n- [Langroid](https:\u002F\u002Fgithub.com\u002Flangroid\u002Flangroid): 一个直观、轻量级、可扩展且原则性强的 Python 框架，可轻松构建大语言模型驱动的应用。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Flangroid\u002Flangroid?style=social)\n- [Langstream](https:\u002F\u002Fgithub.com\u002Frogeriochaves\u002Flangstream): 使用真正的组合性构建健壮的大语言模型应用 🔗 ![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Frogeriochaves\u002Flangstream?style=social)\n- [Agency](https:\u002F\u002Fgithub.com\u002Fneurocult\u002Fagency): 🕵️‍♂️ 专为渴望探索大型语言模型（LLMs）和其他生成式 AI 潜力的开发者设计的库，采用简洁、高效且符合 Go 语言习惯的方式。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fneurocult\u002Fagency?style=social)\n- [TaskWeaver](https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002FTaskWeaver): 一个以代码为中心的智能体框架，可无缝规划和执行数据分析任务。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fmicrosoft\u002FTaskWeaver?style=social)\n- [MicroAgent](https:\u002F\u002Fgithub.com\u002Faymenfurter\u002Fmicroagents): 能够自我编辑提示\u002FPython 代码的智能体。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Faymenfurter\u002Fmicroagents?style=social)\n- [Casibase](https:\u002F\u002Fgithub.com\u002Fcasibase\u002Fcasibase): 开源的 AI LangChain 类似 RAG（检索增强生成）知识数据库，带有 Web UI 和企业级 SSO⚡️，支持 OpenAI、Azure、LLaMA、Google Gemini、HuggingFace、Claude、Grok 等。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fcasibase\u002Fcasibase?style=social)\n- [Fructose](https:\u002F\u002Fgithub.com\u002Fbananaml\u002Ffructose): Fructose 是一个 Python 包，用于围绕大语言模型调用创建可靠、强类型的接口。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fbananaml\u002Ffructose?style=social)\n- [R2R](https:\u002F\u002Fgithub.com\u002FSciPhi-AI\u002FR2R): 一个用于快速开发和部署生产就绪 RAG 系统的框架。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FSciPhi-AI\u002FR2R?style=social)\n- [uAgents](https:\u002F\u002Fgithub.com\u002Ffetchai\u002FuAgents): 一个快速且轻量级的框架，用于轻松创建去中心化智能体。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Ffetchai\u002FuAgents?style=social)\n- [Codel](https:\u002F\u002Fgithub.com\u002Fsemanser\u002Fcodel): ✨ 一个完全自主的 AI 智能体，能够使用终端、浏览器和编辑器完成复杂任务和项目。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fsemanser\u002Fcodel?style=social)\n- [LLocalSearch](https:\u002F\u002Fgithub.com\u002Fnilsherzig\u002FLLocalSearch): LLocalSearch 是一个完全本地运行的搜索聚合器，使用大语言模型智能体。用户可以提出问题，系统会通过一系列大语言模型智能体寻找答案。用户可以看到智能体的进展以及最终答案。无需 OpenAI 或 Google 的 API 密钥。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fnilsherzig\u002FLLocalSearch?style=social)\n- [Plandex](https:\u002F\u002Fgithub.com\u002Fplandex-ai\u002Fplandex): 一个用于复杂任务的 AI 编码引擎。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fplandex-ai\u002Fplandex?style=social)\n- [Maestro](https:\u002F\u002Fgithub.com\u002FDoriandarko\u002Fmaestro): 一个框架，用于 Claude Opus 智能地编排子智能体。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FDoriandarko\u002Fmaestro?style=social)\n- [GPT Pilot](https:\u002F\u002Fgithub.com\u002FPythagora-io\u002Fgpt-pilot): GPT Pilot 是 Pythagora VS Code 扩展的核心技术，旨在提供首个真正的 AI 开发者伴侣。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FPythagora-io\u002Fgpt-pilot?style=social)\n- [SWE Agent](https:\u002F\u002Fgithub.com\u002Fprinceton-nlp\u002Fswe-agent): SWE-Agent 接收一个 GitHub 问题，并尝试自动修复它，使用 GPT-4 或你选择的其他语言模型。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fprinceton-nlp\u002Fswe-agent?style=social)\n- [Gateway](https:\u002F\u002Fgithub.com\u002FPortkey-AI\u002Fgateway): 一个超高速 AI 网关。通过一个快速友好的 API 路由到 100 多种大语言模型。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FPortkey-AI\u002Fgateway?style=social)\n- [AgentRun](https:\u002F\u002Fgithub.com\u002FJonathan-Adly\u002FAgentRun): 安全运行 AI 生成的 Python 代码的最简单、最快方式。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FJonathan-Adly\u002FAgentRun?style=social)\n- [Llama Cpp Agent](https:\u002F\u002Fgithub.com\u002FMaximilian-Winter\u002Fllama-cpp-agent): llama-cpp-agent 框架是一个用于轻松与大型语言模型互动的工具。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FMaximilian-Winter\u002Fllama-cpp-agent?style=social)\n- [FinRobot](https:\u002F\u002Fgithub.com\u002FAI4Finance-Foundation\u002FFinRobot): 一个开源的 AI 智能体平台，用于金融应用中的大语言模型。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FAI4Finance-Foundation\u002FFinRobot?style=social)\n- [Groq Ruby](https:\u002F\u002Fgithub.com\u002Fdrnic\u002Fgroq-ruby): Groq Cloud 能够快速且经济地运行大语言模型。这是一个为 Ruby 提供便利的客户端库。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fdrnic\u002Fgroq-ruby?style=social)\n- [AgentScope](https:\u002F\u002Fgithub.com\u002Fmodelscope\u002Fagentscope): 以更简单的方式开始构建由大语言模型赋能的多智能体应用。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fmodelscope\u002Fagentscope?style=social)\n- [Memary](https:\u002F\u002Fgithub.com\u002Fkingjulio8238\u002Fmemary): 自主智能体的长期记忆。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fkingjulio8238\u002Fmemary?style=social)\n- [Llmware](https:\u002F\u002Fgithub.com\u002Fllmware-ai\u002Fllmware): 提供企业级的大语言模型开发框架、工具和微调后的模型。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fllmware-ai\u002Fllmware?style=social)\n- [Pipecat](https:\u002F\u002Fgithub.com\u002Fpipecat-ai\u002Fpipecat): 一个开源的语音和多模态对话式 AI 框架。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fpipecat-ai\u002Fpipecat?style=social)\n- [Phidata](https:\u002F\u002Fgithub.com\u002Fphidatahq\u002Fphidata): 构建具有记忆、知识和工具的 AI 助手。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fphidatahq\u002Fphidata?style=social)\n- [Rigging](https:\u002F\u002Fgithub.com\u002Fdreadnode\u002Frigging): 轻量级的大语言模型交互框架（Rust）。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fdreadnode\u002Frigging?style=social)\n- [Vision agent](https:\u002F\u002Fgithub.com\u002Flanding-ai\u002Fvision-agent): Vision Agent 是一个库，可以帮助你利用智能体框架生成代码来解决视觉任务。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Flanding-ai\u002Fvision-agent?style=social)\n- [llama-agents](https:\u002F\u002Fgithub.com\u002Frun-llama\u002Fllama-agents): llama-agents 是一个以异步优先的框架，用于构建、迭代和生产化多智能体系统，包括多智能体通信、分布式工具执行、人机协作等。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Frun-llama\u002Fllama-agents?style=social)\n- [Claude Engineer](https:\u002F\u002Fgithub.com\u002FDoriandarko\u002Fclaude-engineer): Claude Engineer 是一个交互式命令行界面（CLI），利用 Anthropic 的 Claude-3.5-Sonnet 模型的力量，协助软件开发任务。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FDoriandarko\u002Fclaude-engineer?style=social)\n- [AI Scientist](https:\u002F\u002Fgithub.com\u002FSakanaAI\u002FAI-Scientist): AI 科学家：迈向完全自动化的开放式科学。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FSakanaAI\u002FAI-Scientist?style=social)\n- [DSPy](https:\u002F\u002Fgithub.com\u002Fstanfordnlp\u002Fdspy): 一个用于编程——而非提示——基础模型的框架。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fstanfordnlp\u002Fdspy?style=social)\n- [Eino](https:\u002F\u002Fgithub.com\u002Fcloudwego\u002Feino): Eino 提供一个 Golang AI 应用开发框架，具备多种组件集成能力，并能编排类似于 LangChain 和 LangGraph 的链条和图。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fcloudwego\u002Feino?style=social)\n- [TensorZero](https:\u002F\u002Fgithub.com\u002Ftensorzero\u002Ftensorzero): 一个开源框架，用于构建生产级的大语言模型应用。它整合了大语言模型网关、可观ability、优化、评估和实验等功能。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Ftensorzero\u002Ftensorzero?style=social)\n- [Bifrost](https:\u002F\u002Fgithub.com\u002Fmaximhq\u002Fbifrost): Bifrost 是最快的大语言模型网关，每秒 5,000 次请求时仅需 11μs 的开销，速度比 LiteLLM 快 50 倍。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fmaximhq\u002Fbifrost?style=social)\n- [Mastra AI](https:\u002F\u002Fgithub.com\u002Fmastra-ai\u002Fmastra): 一个用于构建 AI 驱动的应用和智能体的框架，采用现代化的 TypeScript 堆栈。\n\n## 该列表的补充\n\n- [开放大模型](https:\u002F\u002Fgithub.com\u002Feugeneyan\u002Fopen-llms)：可用于商业用途的开源大模型列表 ![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Feugeneyan\u002Fopen-llms?style=social)\n- [Awesome LLM](https:\u002F\u002Fgithub.com\u002FHannibal046\u002FAwesome-LLM)：Awesome-LLM：精选的大语言模型资源列表。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FHannibal046\u002FAwesome-LLM?style=social)\n- [LLaMA 社群及其他](https:\u002F\u002Fgithub.com\u002Fshm007g\u002FLLaMA-Cult-and-More)：追踪价格实惠的大模型、🦙 社群及其他内容。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fshm007g\u002FLLaMA-Cult-and-More?style=social)\n- [Awesome 语言智能体](https:\u002F\u002Fgithub.com\u002Fysymyth\u002Fawesome-language-agents)：基于论文《语言智能体的认知架构》的语言智能体列表。![GitHub 仓库星标](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fysymyth\u002Fawesome-language-agents?style=social)","# Awesome LangChain 快速上手指南\n\n`awesome-langchain` 并非一个单一的可安装软件库，而是一个精选的 LangChain 生态工具、项目和资源列表。本指南将帮助你快速搭建 LangChain 核心开发环境，并介绍如何利用该列表中的热门工具开始构建 AI 应用。\n\n## 环境准备\n\n在开始之前，请确保你的开发环境满足以下要求：\n\n*   **操作系统**：Windows, macOS, 或 Linux\n*   **Python 版本**：推荐 Python 3.9 或更高版本\n*   **包管理器**：pip 或 conda\n*   **API Key**：准备好大模型服务商的 API Key（如 OpenAI, Azure, 或国内的大模型平台）\n\n**前置依赖安装：**\n建议使用虚拟环境以避免依赖冲突。\n\n```bash\n# 创建虚拟环境\npython -m venv langchain-env\n\n# 激活虚拟环境\n# Windows:\nlangchain-env\\Scripts\\activate\n# macOS\u002FLinux:\nsource langchain-env\u002Fbin\u002Factivate\n```\n\n## 安装步骤\n\n由于 `awesome-langchain` 是资源列表，你需要安装的是 LangChain 核心库及其常用组件。推荐使用国内镜像源加速安装。\n\n**1. 安装 LangChain 核心库**\n\n```bash\npip install langchain langchain-core langchain-community -i https:\u002F\u002Fpypi.tuna.tsinghua.edu.cn\u002Fsimple\n```\n\n**2. 安装常用集成组件（按需选择）**\n\n*   **OpenAI 集成**：\n    ```bash\n    pip install langchain-openai -i https:\u002F\u002Fpypi.tuna.tsinghua.edu.cn\u002Fsimple\n    ```\n*   **向量数据库支持（以 Chroma 为例）**：\n    ```bash\n    pip install langchain-chroma -i https:\u002F\u002Fpypi.tuna.tsinghua.edu.cn\u002Fsimple\n    ```\n*   **热门生态工具（参考列表中的 Low-code 和 Agents）**：\n    *   安装 LangFlow (可视化编排): `pip install langflow`\n    *   安装 CrewAI (多智能体框架): `pip install crewai`\n    *   安装 Chainlit (快速构建聊天界面): `pip install chainlit`\n\n## 基本使用\n\n以下是最简单的 LangChain 使用示例，展示如何调用大模型并处理文本。\n\n**1. 设置环境变量**\n\n在使用前，请在终端设置你的 API Key（以 OpenAI 为例，国内用户可替换为兼容 OpenAI 接口的国内模型地址）：\n\n```bash\nexport OPENAI_API_KEY=\"your-api-key-here\"\n# Windows PowerShell:\n$env:OPENAI_API_KEY=\"your-api-key-here\"\n```\n\n**2. 编写第一个 Chain 程序**\n\n创建一个名为 `main.py` 的文件，输入以下代码：\n\n```python\nfrom langchain_openai import ChatOpenAI\nfrom langchain_core.prompts import ChatPromptTemplate\nfrom langchain_core.output_parsers import StrOutputParser\n\n# 初始化模型\nllm = ChatOpenAI(model=\"gpt-3.5-turbo\")\n\n# 定义提示词模板\nprompt = ChatPromptTemplate.from_messages([\n    (\"system\", \"你是一个专业的翻译助手，将用户的输入翻译成中文。\"),\n    (\"user\", \"{input}\")\n])\n\n# 构建链 (Chain)\nchain = prompt | llm | StrOutputParser()\n\n# 执行调用\nresult = chain.invoke({\"input\": \"LangChain makes building LLM applications easy!\"})\n\nprint(result)\n```\n\n**3. 运行程序**\n\n```bash\npython main.py\n```\n\n**进阶探索：**\n参考 `awesome-langchain` 列表中的分类，你可以进一步尝试：\n*   **Low-code**: 启动 `langflow` 或 `flowise` 通过拖拽界面构建工作流。\n*   **Agents**: 使用 `crewai` 或 `langchain-agents` 创建自主智能体。\n*   **RAG**: 结合 `PrivateGPT` 或 `LlamaIndex` 实现私有知识库问答。","一家初创公司的后端团队急需在两周内构建一个支持多语言、具备知识库检索功能的智能客服系统，以应对即将到来的产品发布。\n\n### 没有 awesome-langchain 时\n- 开发人员需要在 GitHub 上盲目搜索零散的 LangChain 项目，难以辨别哪些库维护活跃、哪些已被弃用，极易踩坑。\n- 团队主要使用 Java 和 Go 技术栈，却不知晓 LangChain4j 或 Langchain Go 等非官方移植版本的存在，误以为只能重写 Python 代码。\n- 为了快速验证原型，工程师不得不从零编写复杂的链式逻辑，错过了 Flowise 等低代码工具带来的“拖拽式”开发效率。\n- 缺乏系统的学习路径，团队成员在查阅碎片化文档和视频教程上浪费了大量时间，导致项目进度严重滞后。\n\n### 使用 awesome-langchain 后\n- 团队直接通过分类列表锁定了经过筛选的高质量开源项目，迅速集成了成熟的知识管理模块，避开了不稳定的实验性代码。\n- 借助“其他语言移植”清单，后端工程师直接采用了 LangChain4j 和 Langchain Go，无缝复用现有架构，无需额外学习 Python。\n- 利用\"Low-code\"板块发现的 Flowise，产品经理在半天内就搭建出了可演示的 LLM 工作流，大幅缩短了需求确认周期。\n- 通过\"Learn\"板块提供的精选 Notebook 和视频播放列表，新人快速掌握了核心概念，团队整体研发效率提升了数倍。\n\nawesome-langchain 将原本混乱的生态信息转化为结构化的行动指南，帮助团队在极短时间内从技术选型走向高效落地。","https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002Fkyrolabs_awesome-langchain_27c29e2c.png","kyrolabs","Kyrolabs","https:\u002F\u002Foss.gittoolsai.com\u002Favatars\u002Fkyrolabs_c23a401e.png","Build and deploy AI-powered applications with Kyroagent no-code platforms.",null,"kyrolabsAI","https:\u002F\u002Fkyrolabs.com","https:\u002F\u002Fgithub.com\u002Fkyrolabs",9270,766,"2026-04-05T21:53:10","CC0-1.0",1,"","未说明",{"notes":91,"python":89,"dependencies":92},"awesome-langchain 本身是一个 curated list（精选列表）仓库，用于收集基于 LangChain 的工具和项目，它不是一个可直接运行的软件或框架，因此没有具体的运行环境需求。用户若需使用列表中提到的具体工具（如 LangChain、Flowise、PrivateGPT 等），请参考各工具各自的 README 文档以获取详细的安装和运行要求。",[],[14,26,15,13],[95,96,97,98,99],"ai","awesome","awesome-list","langchain","llm","2026-03-27T02:49:30.150509","2026-04-06T14:05:07.993028",[103,108,113,118,123,128,133],{"id":104,"question_zh":105,"answer_zh":106,"source_url":107},19218,"我想推荐一个 LangChain 相关项目，应该提交到哪个分类？","维护者建议根据项目功能选择最合适的分类。例如，涉及云资源部署和基础设施管理的工具（如 Pluto）适合放在 `Services`（服务）部分；如果是代理框架但主要不依赖 LangChain，可能被建议提交到专门的 `awesome-agents` 列表。如果不确定，可以在 Issue 中询问维护者，他们会指导最佳的归类位置。","https:\u002F\u002Fgithub.com\u002Fkyrolabs\u002Fawesome-langchain\u002Fissues\u002F87",{"id":109,"question_zh":110,"answer_zh":111,"source_url":112},19219,"付费的学习文章或教程会被收录到列表中吗？","不会。该列表的核心原则是“可访问性”和“开放性”。维护者明确表示，虽然付费文章可能写得很好，但为了保持资源的免费和开放，不会收录需要付费才能阅读的内容。","https:\u002F\u002Fgithub.com\u002Fkyrolabs\u002Fawesome-langchain\u002Fissues\u002F32",{"id":114,"question_zh":115,"answer_zh":116,"source_url":117},19220,"新创建的学习资源仓库内容较少时会被立即收录吗？","通常不会立即收录。维护者建议当仓库包含更多内容、更加完善时再提交。这样可以确保列表中的资源对社区具有足够的价值和参考意义。","https:\u002F\u002Fgithub.com\u002Fkyrolabs\u002Fawesome-langchain\u002Fissues\u002F28",{"id":119,"question_zh":120,"answer_zh":121,"source_url":122},19221,"如何正确提交一个新项目以避免链接错误？","在提交新项目时，务必仔细核对 GitHub 仓库链接和在线演示链接的准确性。如果发现链接错误，应立即在 Issue 评论中发布更正信息，提供正确的 URL（包括 GitHub 地址和 Live App 地址），以便维护者更新记录。","https:\u002F\u002Fgithub.com\u002Fkyrolabs\u002Fawesome-langchain\u002Fissues\u002F247",{"id":124,"question_zh":125,"answer_zh":126,"source_url":127},19222,"我的项目主要是一个 Agent 框架，但与 LangChain 关联不强，应该怎么办？","如果项目与 LangChain 的直接用例不够清晰或关联度不高，维护者可能会建议将其提交到更垂直的列表，例如 `awesome-agents`。这能确保该项目被更精准的受众发现，同时也保持了 LangChain 列表的相关性。","https:\u002F\u002Fgithub.com\u002Fkyrolabs\u002Fawesome-langchain\u002Fissues\u002F113",{"id":129,"question_zh":130,"answer_zh":131,"source_url":132},19223,"提交项目后，是需要等待维护者添加还是自己提交 PR？","两种情况都有。有时维护者会直接添加（如思维导图生成工具）；但在很多情况下，维护者会鼓励或要求贡献者直接提交 Pull Request (PR)。如果维护者指出了合适的分类，贡献者应基于该分类创建 PR 来加速收录过程。","https:\u002F\u002Fgithub.com\u002Fkyrolabs\u002Fawesome-langchain\u002Fissues\u002F53",{"id":134,"question_zh":135,"answer_zh":136,"source_url":137},19224,"有哪些类型的项目适合被收录到 awesome-langchain 列表中？","适合收录的项目包括：基于 LangChain 构建的实际部署应用（如旅行故事生成器）、简化部署流程的工具（如 AWS 部署工具）、特定的技能矩阵或工作流套件（如 ClawForge）、以及基于 LangChain 的教育或实用工具（如生成思维导图、出题系统）。关键在于展示 LangChain 在生产环境或特定场景下的实际应用。","https:\u002F\u002Fgithub.com\u002Fkyrolabs\u002Fawesome-langchain\u002Fissues\u002F148",[]]