[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"similar-crestalnetwork--intentkit":3,"tool-crestalnetwork--intentkit":61},[4,18,26,36,44,53],{"id":5,"name":6,"github_repo":7,"description_zh":8,"stars":9,"difficulty_score":10,"last_commit_at":11,"category_tags":12,"status":17},4358,"openclaw","openclaw\u002Fopenclaw","OpenClaw 是一款专为个人打造的本地化 AI 助手，旨在让你在自己的设备上拥有完全可控的智能伙伴。它打破了传统 AI 助手局限于特定网页或应用的束缚，能够直接接入你日常使用的各类通讯渠道，包括微信、WhatsApp、Telegram、Discord、iMessage 等数十种平台。无论你在哪个聊天软件中发送消息，OpenClaw 都能即时响应，甚至支持在 macOS、iOS 和 Android 设备上进行语音交互，并提供实时的画布渲染功能供你操控。\n\n这款工具主要解决了用户对数据隐私、响应速度以及“始终在线”体验的需求。通过将 AI 部署在本地，用户无需依赖云端服务即可享受快速、私密的智能辅助，真正实现了“你的数据，你做主”。其独特的技术亮点在于强大的网关架构，将控制平面与核心助手分离，确保跨平台通信的流畅性与扩展性。\n\nOpenClaw 非常适合希望构建个性化工作流的技术爱好者、开发者，以及注重隐私保护且不愿被单一生态绑定的普通用户。只要具备基础的终端操作能力（支持 macOS、Linux 及 Windows WSL2），即可通过简单的命令行引导完成部署。如果你渴望拥有一个懂你",349277,3,"2026-04-06T06:32:30",[13,14,15,16],"Agent","开发框架","图像","数据工具","ready",{"id":19,"name":20,"github_repo":21,"description_zh":22,"stars":23,"difficulty_score":10,"last_commit_at":24,"category_tags":25,"status":17},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,"2026-04-05T11:01:52",[14,15,13],{"id":27,"name":28,"github_repo":29,"description_zh":30,"stars":31,"difficulty_score":32,"last_commit_at":33,"category_tags":34,"status":17},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",145895,2,"2026-04-08T11:32:59",[14,13,35],"语言模型",{"id":37,"name":38,"github_repo":39,"description_zh":40,"stars":41,"difficulty_score":32,"last_commit_at":42,"category_tags":43,"status":17},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。",108111,"2026-04-08T11:23:26",[14,15,13],{"id":45,"name":46,"github_repo":47,"description_zh":48,"stars":49,"difficulty_score":32,"last_commit_at":50,"category_tags":51,"status":17},4721,"markitdown","microsoft\u002Fmarkitdown","MarkItDown 是一款由微软 AutoGen 团队打造的轻量级 Python 工具，专为将各类文件高效转换为 Markdown 格式而设计。它支持 PDF、Word、Excel、PPT、图片（含 OCR）、音频（含语音转录）、HTML 乃至 YouTube 链接等多种格式的解析，能够精准提取文档中的标题、列表、表格和链接等关键结构信息。\n\n在人工智能应用日益普及的今天，大语言模型（LLM）虽擅长处理文本，却难以直接读取复杂的二进制办公文档。MarkItDown 恰好解决了这一痛点，它将非结构化或半结构化的文件转化为模型“原生理解”且 Token 效率极高的 Markdown 格式，成为连接本地文件与 AI 分析 pipeline 的理想桥梁。此外，它还提供了 MCP（模型上下文协议）服务器，可无缝集成到 Claude Desktop 等 LLM 应用中。\n\n这款工具特别适合开发者、数据科学家及 AI 研究人员使用，尤其是那些需要构建文档检索增强生成（RAG）系统、进行批量文本分析或希望让 AI 助手直接“阅读”本地文件的用户。虽然生成的内容也具备一定可读性，但其核心优势在于为机器",93400,"2026-04-06T19:52:38",[52,14],"插件",{"id":54,"name":55,"github_repo":56,"description_zh":57,"stars":58,"difficulty_score":10,"last_commit_at":59,"category_tags":60,"status":17},4487,"LLMs-from-scratch","rasbt\u002FLLMs-from-scratch","LLMs-from-scratch 是一个基于 PyTorch 的开源教育项目，旨在引导用户从零开始一步步构建一个类似 ChatGPT 的大型语言模型（LLM）。它不仅是同名技术著作的官方代码库，更提供了一套完整的实践方案，涵盖模型开发、预训练及微调的全过程。\n\n该项目主要解决了大模型领域“黑盒化”的学习痛点。许多开发者虽能调用现成模型，却难以深入理解其内部架构与训练机制。通过亲手编写每一行核心代码，用户能够透彻掌握 Transformer 架构、注意力机制等关键原理，从而真正理解大模型是如何“思考”的。此外，项目还包含了加载大型预训练权重进行微调的代码，帮助用户将理论知识延伸至实际应用。\n\nLLMs-from-scratch 特别适合希望深入底层原理的 AI 开发者、研究人员以及计算机专业的学生。对于不满足于仅使用 API，而是渴望探究模型构建细节的技术人员而言，这是极佳的学习资源。其独特的技术亮点在于“循序渐进”的教学设计：将复杂的系统工程拆解为清晰的步骤，配合详细的图表与示例，让构建一个虽小但功能完备的大模型变得触手可及。无论你是想夯实理论基础，还是为未来研发更大规模的模型做准备",90106,"2026-04-06T11:19:32",[35,15,13,14],{"id":62,"github_repo":63,"name":64,"description_en":65,"description_zh":66,"ai_summary_zh":66,"readme_en":67,"readme_zh":68,"quickstart_zh":69,"use_case_zh":70,"hero_image_url":71,"owner_login":72,"owner_name":73,"owner_avatar_url":74,"owner_bio":75,"owner_company":76,"owner_location":76,"owner_email":77,"owner_twitter":72,"owner_website":78,"owner_url":79,"languages":80,"stars":113,"forks":114,"last_commit_at":115,"license":116,"difficulty_score":10,"env_os":117,"env_gpu":117,"env_ram":117,"env_deps":118,"category_tags":121,"github_topics":122,"view_count":32,"oss_zip_url":76,"oss_zip_packed_at":76,"status":17,"created_at":132,"updated_at":133,"faqs":134,"releases":165},5525,"crestalnetwork\u002Fintentkit","intentkit","IntentKit is an open-source, self-hosted cloud agent cluster that manages a collaborative team of AI agents for you.","IntentKit 是一个开源且支持私有化部署的云端智能体集群平台，旨在为用户管理一支协同工作的 AI 团队。当前许多本地运行的 AI 助手往往依赖昂贵硬件并需获取大量系统权限，而 IntentKit 采用了“云原生”架构，将计算任务移至云端，不仅极大降低了本地资源消耗，还实现了零维护和更高的运行可靠性。\n\n它特别适合希望构建稳定、可扩展 AI 应用的开发者及技术团队。通过 IntentKit，用户可以轻松部署多个能够相互调用、协作完成任务的智能体。其核心亮点包括“设计即安全”的架构，确保智能体无法接触用户的敏感密钥；内置灵活的技能扩展系统，方便按需添加新功能；同时原生支持 Web3 区块链集成及社交媒体连接。此外，IntentKit 既可作为独立的云服务运行，也能作为 Python 库嵌入现有项目，或通过 API 与外部应用无缝对接。如果你正在寻找一套开箱即用、安全高效且具备高度协作能力的云端 AI 基础设施，IntentKit 是一个值得尝试的专业选择。","# IntentKit\n\n\u003Cdiv align=\"center\">\n    \u003Cimg src=\"frontend\u002Fsrc\u002Fapp\u002Ficon.svg\" alt=\"IntentKit\" width=\"20%\" height=\"20%\"\u002F>\n\u003C\u002Fdiv>\n\u003Cdiv align=\"center\">\n    \u003Ch3>Your Cloud-Native Agent Team\u003C\u002Fh3>\n\u003C\u002Fdiv>\n\u003Cdiv align=\"center\">\n  \u003Ca href=\"https:\u002F\u002Fopensource.org\u002Flicenses\u002FMIT\" target=\"_blank\">\u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fpypi\u002Fl\u002Fintentkit\" alt=\"PyPI - License\">\u003C\u002Fa>\n  \u003Ca href=\"https:\u002F\u002Fpypi.org\u002Fproject\u002Fintentkit\u002F#history\" target=\"_blank\">\u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fpypi\u002Fv\u002Fintentkit\" alt=\"PyPI Version\">\u003C\u002Fa>\n  \u003Ca href=\"https:\u002F\u002Fhub.docker.com\u002Fr\u002Fcrestal\u002Fintentkit\" target=\"_blank\">\u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fdocker\u002Fv\u002Fcrestal\u002Fintentkit?label=Docker\" alt=\"Docker\">\u003C\u002Fa>\n  \u003Ca href=\"https:\u002F\u002Fintentcat.com\u002Fdocs\" target=\"_blank\">\u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fbadge\u002Fdocs-intentcat.com-blue\" alt=\"Documentation\">\u003C\u002Fa>\n\u003C\u002Fdiv>\n\nIntentKit is an open-source, self-hosted cloud agent cluster that manages a collaborative team of AI agents for you.\n\n## Why IntentKit\n\nCurrent AI agents generally follow two paths:\n\n1. **Local-First** (e.g., OpenClaw): These serve as personal assistants or experimental tools. However, they often require expensive hardware and extensive local permissions.\n2. **Cloud-Native**: Similar to modern web apps, these run in the cloud, consume minimal local resources, require zero maintenance, and offer high reliability for completing tasks.\n\nIf you are looking for a robust, cloud-native solution, IntentKit is for you.\n\n## Features\n\n- ☁️ **Cloud-Native:** Ultimate resource efficiency.\n- 🔒 **Secure by Design:** Agents are fundamentally unable to access any of your secret keys.\n- 🤖 **Collaborative AI:** Multiple agents that can call and interact with each other.\n- 🔄 **Out-of-the-Box Ready:** Fully configured and ready to use.\n- 🔗 **Crypto-Friendly:** Optional Web3 and blockchain integrations.\n- 🐦 **Social Media Integration:** Seamlessly connects with social platforms.\n- 🛠️ **Extensible Skill System:** Easily add new capabilities.\n\n## Documentation\n\nPlease check out the [Documentation](https:\u002F\u002Fintentcat.com\u002Fdocs\u002F) before getting started.\n\n## Deployment\n\nRead the [Deployment Guide](https:\u002F\u002Fintentcat.com\u002Fdocs\u002Fdeployment\u002F) to get started with your setup.\n\n## Other Use Cases\n\nBesides self-deploying IntentKit, you can also use the project in the following ways:\n\n- **As a Python Library:** Import and extend IntentKit, or use it to add agent cluster capabilities to your existing projects.\n- **Via API:** Regardless of the deployment method, you can interact with agents from external applications via the built-in API endpoints.\n\n## Contributing\n\nDue to the rapid pace of AI development, we currently do not accept code contributions via Pull Requests. However, submitting feature requests and reporting bugs in the GitHub Issues section is highly appreciated and the best way to contribute.\n\n## License\n\nThis project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.\n","# IntentKit\n\n\u003Cdiv align=\"center\">\n    \u003Cimg src=\"frontend\u002Fsrc\u002Fapp\u002Ficon.svg\" alt=\"IntentKit\" width=\"20%\" height=\"20%\"\u002F>\n\u003C\u002Fdiv>\n\u003Cdiv align=\"center\">\n    \u003Ch3>您的云原生智能体团队\u003C\u002Fh3>\n\u003C\u002Fdiv>\n\u003Cdiv align=\"center\">\n  \u003Ca href=\"https:\u002F\u002Fopensource.org\u002Flicenses\u002FMIT\" target=\"_blank\">\u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fpypi\u002Fl\u002Fintentkit\" alt=\"PyPI - 许可证\">\u003C\u002Fa>\n  \u003Ca href=\"https:\u002F\u002Fpypi.org\u002Fproject\u002Fintentkit\u002F#history\" target=\"_blank\">\u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fpypi\u002Fv\u002Fintentkit\" alt=\"PyPI 版本\">\u003C\u002Fa>\n  \u003Ca href=\"https:\u002F\u002Fhub.docker.com\u002Fr\u002Fcrestal\u002Fintentkit\" target=\"_blank\">\u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fdocker\u002Fv\u002Fcrestal\u002Fintentkit?label=Docker\" alt=\"Docker\">\u003C\u002Fa>\n  \u003Ca href=\"https:\u002F\u002Fintentcat.com\u002Fdocs\" target=\"_blank\">\u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fbadge\u002Fdocs-intentcat.com-blue\" alt=\"文档\">\u003C\u002Fa>\n\u003C\u002Fdiv>\n\nIntentKit 是一个开源、可自托管的云智能体集群，可为您管理一支协作型 AI 智能体团队。\n\n## 为什么选择 IntentKit\n\n当前的 AI 智能体通常分为两大方向：\n\n1. **本地优先**（如 OpenClaw）：这类智能体主要作为个人助手或实验性工具使用。然而，它们往往需要昂贵的硬件支持，并且需要较高的本地权限。\n2. **云原生**：类似于现代 Web 应用，这些智能体运行在云端，几乎不占用本地资源，无需维护，且具有极高的可靠性，能够高效完成各类任务。\n\n如果您正在寻找一款健壮的云原生解决方案，IntentKit 就是您的理想选择。\n\n## 功能特性\n\n- ☁️ **云原生**：极致的资源效率。\n- 🔒 **设计安全**：智能体从根本上无法访问您的任何密钥。\n- 🤖 **协作式 AI**：多智能体协同工作，彼此调用与交互。\n- 🔄 **开箱即用**：预配置完毕，即刻投入使用。\n- 🔗 **加密友好**：可选的 Web3 和区块链集成。\n- 🐦 **社交媒体集成**：无缝对接各大社交平台。\n- 🛠️ **可扩展技能系统**：轻松添加新功能。\n\n## 文档\n\n请在开始使用前查阅 [文档](https:\u002F\u002Fintentcat.com\u002Fdocs\u002F)。\n\n## 部署\n\n请阅读 [部署指南](https:\u002F\u002Fintentcat.com\u002Fdocs\u002Fdeployment\u002F)，以顺利完成您的部署。\n\n## 其他使用场景\n\n除了自行部署 IntentKit 外，您还可以通过以下方式使用该项目：\n\n- **作为 Python 库**：导入并扩展 IntentKit，或将智能体集群能力集成到您现有的项目中。\n- **通过 API**：无论采用何种部署方式，您都可以通过内置的 API 端点从外部应用与智能体进行交互。\n\n## 贡献\n\n鉴于 AI 领域的发展速度极快，我们目前暂不接受通过 Pull Request 提交代码贡献。不过，欢迎您在 GitHub Issues 中提交功能需求和报告问题，这将是您参与项目开发的最佳方式。\n\n## 许可证\n\n本项目采用 MIT 许可证授权——详情请参阅 [LICENSE](LICENSE) 文件。","# IntentKit 快速上手指南\n\nIntentKit 是一个开源的、可自托管的云原生智能体集群平台，旨在为您管理协作式 AI 团队。它无需昂贵的本地硬件，支持多智能体协作，并具备高度的安全性和可扩展性。\n\n## 环境准备\n\n在部署前，请确保您的环境满足以下要求：\n\n*   **操作系统**：Linux (推荐 Ubuntu 20.04+), macOS, 或 Windows (需安装 WSL2)。\n*   **容器运行时**：已安装 **Docker** 和 **Docker Compose**（推荐使用 Docker Compose V2）。\n*   **网络环境**：能够访问 Docker Hub 及外部 API（如 LLM 提供商、社交媒体平台等）。\n    *   *国内用户提示*：若拉取 Docker 镜像缓慢，建议配置国内 Docker 镜像加速器（如阿里云、腾讯云等）。\n*   **API Keys**：准备好您计划使用的 LLM 服务商（如 OpenAI, Anthropic 等）及第三方服务（如 Twitter\u002FX, Web3 钱包）的密钥。\n\n## 安装步骤\n\nIntentKit 推荐使用 Docker 进行部署，以确保环境一致性和最小化维护成本。\n\n### 1. 获取项目代码\n\n克隆官方仓库到本地：\n\n```bash\ngit clone https:\u002F\u002Fgithub.com\u002Fcrestal-network\u002Fintentkit.git\ncd intentkit\n```\n\n### 2. 配置环境变量\n\n复制示例配置文件并根据实际需求修改：\n\n```bash\ncp .env.example .env\n```\n\n编辑 `.env` 文件，填入您的 `LLM_API_KEY` 及其他必要的服务凭证。\n\n### 3. 启动服务\n\n使用 Docker Compose 启动所有组件：\n\n```bash\ndocker compose up -d\n```\n\n等待容器启动完成后，可通过以下命令查看运行状态：\n\n```bash\ndocker compose ps\n```\n\n> **注意**：首次启动可能需要几分钟时间下载镜像并初始化数据库。\n\n## 基本使用\n\n部署完成后，您可以通过以下方式与 IntentKit 交互：\n\n### 1. 访问管理界面\n\n打开浏览器访问默认地址（具体端口请在 `.env` 或 `docker-compose.yml` 中确认，通常为）：\n\n```text\nhttp:\u002F\u002Flocalhost:8000\n```\n\n在此界面中，您可以查看智能体状态、监控任务执行情况以及进行基础配置。\n\n### 2. 通过 API 调用智能体\n\nIntentKit 提供内置 API 端点，允许外部应用直接调用智能体集群。以下是一个简单的 `curl` 示例，用于发送意图请求：\n\n```bash\ncurl -X POST http:\u002F\u002Flocalhost:8000\u002Fapi\u002Fv1\u002Fintent \\\n  -H \"Content-Type: application\u002Fjson\" \\\n  -d '{\n    \"content\": \"帮我分析今天的加密货币市场趋势\",\n    \"agent_ids\": [\"analyst-agent-01\"]\n  }'\n```\n\n### 3. 作为 Python 库使用（可选）\n\n如果您希望将 IntentKit 集成到现有的 Python 项目中，可以直接安装 PyPI 包：\n\n```bash\npip install intentkit\n```\n\n然后在代码中导入并使用：\n\n```python\nfrom intentkit import AgentCluster\n\ncluster = AgentCluster(config_path=\".\u002Fconfig.yaml\")\nresponse = cluster.run(\"查询最新的区块链新闻\")\nprint(response)\n```\n\n---\n\n*更多详细配置、高级技能扩展及生产环境部署方案，请参阅官方文档：https:\u002F\u002Fintentcat.com\u002Fdocs\u002F*","一家中型电商运营团队希望构建一个能 7x24 小时自动监控社交媒体舆情、分析用户情绪并即时生成回复策略的智能化系统。\n\n### 没有 intentkit 时\n- **硬件与维护成本高**：团队需自行购买昂贵的高性能 GPU 服务器部署本地 Agent，且需专人维护环境依赖，一旦硬件故障服务即刻中断。\n- **协作逻辑复杂脆弱**：让负责“舆情抓取”、“情感分析”和“文案生成”的三个独立脚本协同工作极其困难，常出现数据传递丢失或死循环，难以形成闭环。\n- **安全隐患大**：为了让本地脚本调用云端大模型，开发者不得不将 API Key 硬编码在代码中或存储于本地配置文件，极易发生密钥泄露。\n- **扩展性差**：每当需要新增“加密货币价格监控”或对接新社交平台时，必须重构底层代码架构，开发周期长达数周。\n\n### 使用 intentkit 后\n- **云原生零运维**：直接通过 Docker 一键部署 intentkit 集群，利用云端弹性资源运行，团队无需关心底层基础设施，服务稳定性大幅提升。\n- **原生多智能体协作**：intentkit 内置的协作机制让不同角色的 Agent 能自动互相调用与对话，流畅完成从“发现负面评论”到“生成公关话术”的全流程。\n- **架构级安全隔离**：基于“安全设计”原则，Agent 运行时根本无法接触用户的秘密密钥，所有敏感凭证由 intentkit 统一托管，彻底消除泄露风险。\n- **技能热插拔**：借助其可扩展技能系统，开发人员只需简单配置即可接入 Web3 数据源或新的社交媒体 API，新功能上线时间缩短至几小时。\n\nintentkit 将分散的 AI 脚本升级为高可靠、自协作的云原生智能团队，让企业能以最低成本实现复杂的自动化业务闭环。","https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002Fcrestalnetwork_intentkit_b0a6e9fb.png","crestalnetwork","Crestal Network","https:\u002F\u002Foss.gittoolsai.com\u002Favatars\u002Fcrestalnetwork_bc72fecf.png","Launch Your Own AI Agent with Crestal Nation: https:\u002F\u002Fnation.fun",null,"collab@crestal.network","https:\u002F\u002Fcrestal.network","https:\u002F\u002Fgithub.com\u002Fcrestalnetwork",[81,85,89,93,97,100,103,107,110],{"name":82,"color":83,"percentage":84},"Python","#3572A5",88.6,{"name":86,"color":87,"percentage":88},"TypeScript","#3178c6",9.2,{"name":90,"color":91,"percentage":92},"Go","#00ADD8",1.9,{"name":94,"color":95,"percentage":96},"HTML","#e34c26",0.1,{"name":98,"color":99,"percentage":96},"Shell","#89e051",{"name":101,"color":102,"percentage":96},"Dockerfile","#384d54",{"name":104,"color":105,"percentage":106},"CSS","#663399",0,{"name":108,"color":109,"percentage":106},"JavaScript","#f1e05a",{"name":111,"color":112,"percentage":106},"Makefile","#427819",6504,703,"2026-04-07T21:15:53","MIT","未说明",{"notes":119,"python":117,"dependencies":120},"该工具定位为云原生（Cloud-Native）架构，旨在最小化本地资源消耗并支持零维护部署。官方推荐使用 Docker 进行部署，或作为 Python 库导入使用。由于项目迭代迅速，目前不接受代码贡献（Pull Requests），仅接受功能请求和错误报告。具体硬件及软件依赖需参考官方部署文档。",[117],[15,14,13],[123,124,125,126,127,128,129,130,131],"ai","ai-agent-framework","intents","python","web3","ai-agent","blockchain","agent-framework","agentic","2026-03-27T02:49:30.150509","2026-04-08T20:31:12.097095",[135,140,145,150,155,160],{"id":136,"question_zh":137,"answer_zh":138,"source_url":139},25071,"如何正确调用 Agent 的聊天接口？","README 中的 URL 有误，正确的聊天接口地址应去掉 agent ID 路径。请使用以下命令：\ncurl \"http:\u002F\u002F127.0.0.1:8000\u002Fadmin\u002Fchat?q=Hello\"\n注意：不要使用 \u002Fagents\u002F{id}\u002Fchat 格式，直接访问 \u002F{id}\u002Fchat 即可。","https:\u002F\u002Fgithub.com\u002Fcrestalnetwork\u002Fintentkit\u002Fissues\u002F71",{"id":141,"question_zh":142,"answer_zh":143,"source_url":144},25072,"支持使用 Telegram 账号直接登录吗？","不支持直接使用 Telegram 账号登录。您可以创建一个 Telegram 机器人并获取其 Token，然后在配置中启用 Telegram 入口点（entrypoint）来实现集成。","https:\u002F\u002Fgithub.com\u002Fcrestalnetwork\u002Fintentkit\u002Fissues\u002F64",{"id":146,"question_zh":147,"answer_zh":148,"source_url":149},25073,"新用户无法连接 Telegram 账户怎么办？","建议尝试更新浏览器和 Telegram 应用程序。如果问题仍然存在，建议使用电脑（PC）端进行网站连接操作，移动端可能存在兼容性问题。","https:\u002F\u002Fgithub.com\u002Fcrestalnetwork\u002Fintentkit\u002Fissues\u002F108",{"id":151,"question_zh":152,"answer_zh":153,"source_url":154},25074,"GitHub 技能集包含哪些功能？","GitHub 技能集允许 Agent 通过 GitHub 公共 API 搜索仓库、用户和代码。具体功能包括：\n1. 按名称、描述或主题搜索仓库\n2. 按用户名或真名搜索用户\n3. 跨仓库搜索代码片段\n无需认证即可使用，但受限于 GitHub 公共 API 的速率限制（每 IP 每小时 60 次请求），且仅能访问公开数据。","https:\u002F\u002Fgithub.com\u002Fcrestalnetwork\u002Fintentkit\u002Fissues\u002F262",{"id":156,"question_zh":157,"answer_zh":158,"source_url":159},25075,"Cookie.fun 技能集目前集成了哪些模块？","目前已集成以下 Cookie.fun API 模块：\n1. 图像生成 (image generation)\n2. 聊天 AI (chat ai)\n3. 文本语言翻译 (text language translation)\n4. 获取国家时间 (get country time)\n5. 获取加密货币信息 (get crypto information)","https:\u002F\u002Fgithub.com\u002Fcrestalnetwork\u002Fintentkit\u002Fissues\u002F256",{"id":161,"question_zh":162,"answer_zh":163,"source_url":164},25076,"遇到与 Crestal 平台相关的问题（如任务进度、Rock 数量等）应该在哪里提问？","本 GitHub 仓库仅用于 IntentKit 的开发构建。关于 Crestal 平台的具体问题（如资产查询、任务状态等），请前往官方社区渠道提问：\n- Discord: https:\u002F\u002Fdiscord.gg\u002Fcrestal\n- Telegram: https:\u002F\u002Ft.me\u002Fcrestal_network","https:\u002F\u002Fgithub.com\u002Fcrestalnetwork\u002Fintentkit\u002Fissues\u002F141",[166,171,176,181,186,191,196,201,206,211,216,221,226,231,236,241,246,251,256,261],{"id":167,"version":168,"summary_zh":169,"released_at":170},154470,"v0.17.21","- 为团队主管客服人员新增推送通道系统，支持主动通知\n- 调整账户监控计划，以提升效率\n\n**完整更新日志**：https:\u002F\u002Fgithub.com\u002Fcrestalnetwork\u002Fintentkit\u002Fcompare\u002Fv0.17.20...v0.17.21\n","2026-04-07T03:52:45",{"id":172,"version":173,"summary_zh":174,"released_at":175},154471,"v0.17.20","- 将 Z.AI 网页搜索和网页阅读器从 REST API 迁移到 MCP 协议，以提升可靠性\n- 优化了大模型选择优先级，以获得更好的性能和成本效益\n- 修复了团队套餐处理中可能导致特定配置下出现错误的问题\n- 提升了对话取消的可靠性\n\n**完整更新日志**：https:\u002F\u002Fgithub.com\u002Fcrestalnetwork\u002Fintentkit\u002Fcompare\u002Fv0.17.19...v0.17.20\n","2026-04-04T18:01:02",{"id":177,"version":178,"summary_zh":179,"released_at":180},154472,"v0.17.19","# v0.17.19\n\n- 基于提供商的网页搜索：现在，网页搜索和网页阅读功能会优先使用各提供商原生的能力（OpenAI、xAI、Google、OpenRouter），其他提供商则回退至 Z.AI\n- 新增 Z.AI 网页搜索和网页阅读技能\n- 将中间件中的搜索逻辑整合到执行器中，以实现更清晰的架构\n\n**完整更新日志**：https:\u002F\u002Fgithub.com\u002Fcrestalnetwork\u002Fintentkit\u002Fcompare\u002Fv0.17.18...v0.17.19","2026-04-04T11:17:18",{"id":182,"version":183,"summary_zh":184,"released_at":185},154473,"v0.17.18","# v0.17.18\n\n- 新增通义千问3.6 Plus模型支持\n- 修复因缺少计费上下文导致团队智能体聊天无法正常工作的问题\n- 更新了依赖项\n\n**完整更新日志**: https:\u002F\u002Fgithub.com\u002Fcrestalnetwork\u002Fintentkit\u002Fcompare\u002Fv0.17.17...v0.17.18\n","2026-04-03T10:29:11",{"id":187,"version":188,"summary_zh":189,"released_at":190},154474,"v0.17.17","# v0.17.17\n\n- 新增 Anthropic 兼容的 LLM 提供者，可通过环境变量连接任何兼容 Anthropic API 的服务\n\n**完整更新日志**: https:\u002F\u002Fgithub.com\u002Fcrestalnetwork\u002Fintentkit\u002Fcompare\u002Fv0.17.16...v0.17.17\n","2026-04-03T10:11:51",{"id":192,"version":193,"summary_zh":194,"released_at":195},154475,"v0.17.16","# v0.17.16\n\n- 修复了在加载客服时可能发生的客服聊天页面崩溃问题\n\n**完整更新日志**: https:\u002F\u002Fgithub.com\u002Fcrestalnetwork\u002Fintentkit\u002Fcompare\u002Fv0.17.15...v0.17.16\n","2026-04-03T05:15:50",{"id":197,"version":198,"summary_zh":199,"released_at":200},154476,"v0.17.15","# v0.17.15\n\n- 将本地 API 和团队 API 之间的共享 Schema 端点移至 `app\u002Fcommon`\n- 将 RJSF 表单工具（验证器、uiSchema、`cleanSkillsData`）提取到共享的 `formUtils.ts` 中\n- 在 PictureWidget 中添加了 AI 头像提示\n- 清理了代理创建和编辑页面之间的重复代码\n\n**完整更新日志**: https:\u002F\u002Fgithub.com\u002Fcrestalnetwork\u002Fintentkit\u002Fcompare\u002Fv0.17.14...v0.17.15","2026-04-03T04:32:58",{"id":202,"version":203,"summary_zh":204,"released_at":205},154477,"v0.17.14","# v0.17.14\n\n- 新增团队用量页面 API，用于查看信用余额和近期活动\n- 更新了计费路线图文档，以反映已完成的里程碑\n\n**完整更新日志**: https:\u002F\u002Fgithub.com\u002Fcrestalnetwork\u002Fintentkit\u002Fcompare\u002Fv0.17.13...v0.17.14\n","2026-04-03T00:14:07",{"id":207,"version":208,"summary_zh":209,"released_at":210},154478,"v0.17.13","# v0.17.13\n\n- 新增用户个人资料，支持显示名称和头像\n- 用户现在可以在账户设置中编辑姓名并上传头像\n- 使用 Google 账号登录时，会自动从 Google 账号中填充姓名和头像\n- 使用 EVM 钱包登录时，会根据钱包地址生成显示名称\n- 绑定 Google 账号后，若尚未设置头像，将同步 Google 账号的头像\n- 修复了任务页面页眉对齐问题以及导航时骨架屏的残留问题\n- 改进了 API 层的团队 ID 验证逻辑\n- 修复了 Google 图片模型的配置问题\n\n**完整更新日志**: https:\u002F\u002Fgithub.com\u002Fcrestalnetwork\u002Fintentkit\u002Fcompare\u002Fv0.17.12...v0.17.13\n","2026-04-02T18:26:46",{"id":212,"version":213,"summary_zh":214,"released_at":215},154479,"v0.17.12","# v0.17.12\n\n- 修复了因缺少 JWT audience 验证而导致的认证失败问题\n\n**完整更新日志**: https:\u002F\u002Fgithub.com\u002Fcrestalnetwork\u002Fintentkit\u002Fcompare\u002Fv0.17.11...v0.17.12\n","2026-04-02T15:47:53",{"id":217,"version":218,"summary_zh":219,"released_at":220},154480,"v0.17.11","# v0.17.11\n\n- Fixed authentication failure in Team API where login always returned 401 due to JWT algorithm mismatch with modern Supabase signing keys\n\n**Full Changelog**: https:\u002F\u002Fgithub.com\u002Fcrestalnetwork\u002Fintentkit\u002Fcompare\u002Fv0.17.10...v0.17.11\n","2026-04-02T13:39:04",{"id":222,"version":223,"summary_zh":224,"released_at":225},154481,"v0.17.10","# v0.17.10\n\n- Fixed false positive alerts in account checking where zero-amount events were incorrectly flagged as orphaned\n- Fixed incorrect check count and singular\u002Fplural formatting in account checking alerts\n\n**Full Changelog**: https:\u002F\u002Fgithub.com\u002Fcrestalnetwork\u002Fintentkit\u002Fcompare\u002Fv0.17.9...v0.17.10\n","2026-04-02T13:01:26",{"id":227,"version":228,"summary_zh":229,"released_at":230},154482,"v0.17.9","# v0.17.9\n\n- Added startup notification alert when the autonomous service starts, including environment and release information.\n\n**Full Changelog**: https:\u002F\u002Fgithub.com\u002Fcrestalnetwork\u002Fintentkit\u002Fcompare\u002Fv0.17.8...v0.17.9\n","2026-04-02T12:36:46",{"id":232,"version":233,"summary_zh":234,"released_at":235},154483,"v0.17.8","# Release v0.17.8\n\n## Improvements\n\n### Telegram Alert Formatting\n- Alert notifications sent to Telegram now display with proper formatting instead of raw data. Messages include bold titles, color-coded status indicators, and structured field layouts.\n- Account checking alerts now include detailed failure information (affected event\u002Ftransaction IDs, amounts, etc.) directly in the notification, making it easier to diagnose issues without checking logs.\n\n### Documentation\n- Updated documentation links and added a local deployment guide.\n\n**Full Changelog**: https:\u002F\u002Fgithub.com\u002Fcrestalnetwork\u002Fintentkit\u002Fcompare\u002Fv0.17.7...v0.17.8\n","2026-04-02T11:42:21",{"id":237,"version":238,"summary_zh":239,"released_at":240},154484,"v0.17.7","# Release v0.17.7\n\n## New Features\n\n### Account Linking & Plan Initialization\n- Users can now link Google and EVM wallet accounts to their profile, with a dedicated account management page showing linked providers.\n- Team plans are automatically initialized when creating a team: Google users receive a Free plan, and EVM wallet users with a portfolio value over $20 also receive a Free plan.\n- Linking a Google account upgrades the user's first team from None to Free plan.\n- Google accounts cannot be unlinked once linked. EVM wallets can only be unlinked if a Google account is already linked.\n\n### Pricing Plan Tiers\n- Added four pricing plan tiers (None, Free, Pro, Max) with configurable quotas, refill rates, and monthly credit issuance for paid plans.\n\n### Team-Based Billing\n- Migrated billing system from user-based to team-based, aligning credit accounts and plan management with team ownership.\n\n## Improvements\n- Improved documentation with PyPI badge and security features in README.\n\n**Full Changelog**: https:\u002F\u002Fgithub.com\u002Fcrestalnetwork\u002Fintentkit\u002Fcompare\u002Fv0.17.6...v0.17.7\n","2026-04-02T10:13:37",{"id":242,"version":243,"summary_zh":244,"released_at":245},154485,"v0.17.6","## What's New\n\n- Added Web3 wallet address syncing from Supabase — EVM and Solana wallet addresses are now automatically extracted from user identities during profile sync\n\n**Full Changelog**: https:\u002F\u002Fgithub.com\u002Fcrestalnetwork\u002Fintentkit\u002Fcompare\u002Fv0.17.5...v0.17.6\n","2026-04-01T16:15:12",{"id":247,"version":248,"summary_zh":249,"released_at":250},154486,"v0.17.5","## Improvements\n\n### Floating Version Footer\n- The version and copyright footer now floats at the bottom-left corner of every page, ensuring it's always visible regardless of which section you're viewing.\n\n### Infrastructure\n- Optimized Docker health check intervals for better resource efficiency.\n\n**Full Changelog**: https:\u002F\u002Fgithub.com\u002Fcrestalnetwork\u002Fintentkit\u002Fcompare\u002Fv0.17.4...v0.17.5\n","2026-04-01T10:14:59",{"id":252,"version":253,"summary_zh":254,"released_at":255},154487,"v0.17.4","## New Features\n\n### Version Display\n- The frontend sidebar now shows the current IntentKit version, making it easier to identify which release is deployed.\n\n### On-Chain Skills Test Coverage\n- Added comprehensive BDD tests for on-chain read-only skills including Aave V3, Aerodrome, ERC-20, ERC-721, Morpho, PancakeSwap, and Uniswap, tested against real RPC endpoints.\n\n## Improvements\n- Fixed and updated broken tests across the test suite to match the current implementation.\n- Resolved a circular import issue in the lead agent module.\n\n**Full Changelog**: https:\u002F\u002Fgithub.com\u002Fcrestalnetwork\u002Fintentkit\u002Fcompare\u002Fv0.17.3...v0.17.4\n","2026-04-01T08:23:00",{"id":257,"version":258,"summary_zh":259,"released_at":260},154488,"v0.17.3","## Changes\n- Add version display and copyright in frontend sidebar footer\n- Pass version from GitHub release tag via build arg","2026-03-31T17:52:08",{"id":262,"version":263,"summary_zh":264,"released_at":265},154489,"v0.17.2","## New Features\n\n### Telegram Channel Verification System\n- Team Telegram channels now require verification before chats can interact with the bot. When a bot is connected, a 4-digit verification code is generated. New private chats or group conversations must send this code to activate. The code automatically regenerates after each successful verification for security.\n\n### Telegram Bot Status Monitoring\n- The Channels page now shows real-time bot listening status (Listening \u002F Connecting \u002F Error), bot username, and a list of all verified chats. Admins can remove verified chats directly from the UI.\n\n### Verification Rate Limiting\n- To prevent brute-force attempts, verification is limited to 3 attempts per chat within a 10-minute window.\n\n## Improvements\n- Minor gitignore improvements.\n\n**Full Changelog**: https:\u002F\u002Fgithub.com\u002Fcrestalnetwork\u002Fintentkit\u002Fcompare\u002Fv0.17.1...v0.17.2\n","2026-03-31T04:03:37"]