[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-8832":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":10,"language":11,"languages":10,"totalLinesOfCode":10,"stars":12,"forks":13,"watchers":14,"openIssues":15,"contributorsCount":16,"subscribersCount":16,"size":16,"stars1d":16,"stars7d":17,"stars30d":18,"stars90d":16,"forks30d":16,"starsTrendScore":19,"compositeScore":20,"rankGlobal":10,"rankLanguage":10,"license":21,"archived":22,"fork":22,"defaultBranch":23,"hasWiki":24,"hasPages":22,"topics":25,"createdAt":10,"pushedAt":10,"updatedAt":32,"readmeContent":33,"aiSummary":34,"trendingCount":16,"starSnapshotCount":16,"syncStatus":15,"lastSyncTime":35,"discoverSource":36},8832,"chatwiki","zhimaAi\u002Fchatwiki","zhimaAi","ChatWiki 微信公众号的AI知识库工作流Agent平台，RAG大模型AI客服机器人，致力于成为垂直领域的coze、n8n。","https:\u002F\u002Fchatwiki.com",null,"Vue",1975,310,18,2,0,9,60,6,65.98,"Other",false,"main",true,[26,27,28,29,30,31],"agent","ai","aytomation","llm","rag","workflow","2026-06-12 04:00:41","\u003Cp align=\"center\">\u003Ca href=\"https:\u002F\u002FChatwiki.com\u002F\">\u003Cimg src=\".\u002Fimgs\u002Fhead_image.png\" alt=\"head_image\">\u003C\u002Fa>\u003C\u002Fp>\n\n\u003Cp align=\"center\">\n  \u003Ca href=\".\u002FREADME.md\">English\u003C\u002Fa> |\n  \u003Ca href=\".\u002FREADME_zh.md\">简体中文\u003C\u002Fa> |\n  \u003Ca href=\".\u002FUpdateLog.md\">UpdateLog\u003C\u002Fa> |\n  \u003Ca href=\"https:\u002F\u002Fwww.yuque.com\u002Fzhimaxiaoshiwangluo\u002Fpggco1\u002Fykeoauc4g9k2dwv1\">Help Docs\u003C\u002Fa>\n\u003C\u002Fp>\n\n## 🎯 Product Positioning\n\nChatWiki is a workflow automation platform focused on the WeChat ecosystem, dedicated to making every official account a\nsuper AI agent. It fully integrates the open capabilities of the official account platform, allowing you to build WeChat\necosystem applications through drag-and-drop, enabling features like one-click rewriting of official account articles\nand AI-curated comment replies.\n\n![product positioning](.\u002Fimgs\u002Fproduct_positioning.png)\n\n## ✨ Core Features\n\n### 💬 Deep Integration with WeChat Ecosystem\n\n- **Industry First**: Automatic reply to private messages for unverified official accounts, supporting text, voice,\n  images, mini-program cards, video messages, etc.\n\n- **WeChat Workflows**: Integrates trigger scenarios such as user private messages, comments, follows, unfollows, menu\n  clicks, etc. Supports various processing steps like replying to private messages, tagging fans, generating draft\n  articles, publishing articles, and more.\n\n- **Knowledge Base Synchronization**: Supports scraping articles and materials from official accounts to build a\n  knowledge base with one click.\n\n### 🤖 Basic Capabilities\n\n- **Workflow Orchestration**: Conversational workflows, plugin workflows, including basic workflow nodes, bidirectional\n  MCP, Agent mode, and user interaction.\n\n- **Document Knowledge Base**: Supports URL reading, batch document import, API integration, AI-based segmentation, QA\n  segmentation, parent-child segmentation. Supports knowledge graphs, hybrid vector search, and visual exploration of\n  knowledge graphs.\n\n- **QA Knowledge Base**: Automatically extracts QA knowledge from uploaded documents, supports automatic clustering of\n  unknown questions, and summarizes common FAQs from human conversations.\n\n- **Human Handoff**: Handles general user inquiries via bot, while also supporting human staff. Issues that the bot\n  cannot\n  resolve can be escalated to human客服, with multi-agent collaborative assignment.\n\n- **Model Support**: Supports over 20 mainstream global models, including DeepSeek R1, doubao pro, qwen max, OpenAI,\n  Claude, etc.\n\n### 🌐 More Capabilities\n\n- **Multiple Deployment Options**: Offers desktop client, supports publishing as a WebApp, and embedding into websites,\n  official accounts\u002Fservice accounts, wecome staff, WeChat store staff, etc.\n\n- **MCP & API Integration**: Allows integration of external MCP services or publishing workflows as MCP services.\n  Complete OpenAPI interface for easy integration with existing business systems.\n\n- **Multi-account Permission Management**: Three-tier permission system (admin, editor, viewer) ensures data isolation.\n  IP whitelist and permanent login logs.\n\n## 🛸 UI\n\n- 🌍**Free Trial URL**: [chatwiki.com](https:\u002F\u002Fchatwiki.com\u002F)\n- 🖼️**Screenshots**:\n\n\u003Cp align=\"center\">   \u003Cimg src=\".\u002Fimgs\u002Fui_1.png\" alt=\"1\" width=\"49%\" \u002F>   \u003Cimg src=\".\u002Fimgs\u002Fui_2.png\" alt=\"2\" width=\"49%\" \u002F> \u003C\u002Fp> \n\u003Cp align=\"center\">   \u003Cimg src=\".\u002Fimgs\u002Fui_3.png\" alt=\"3\" width=\"49%\" \u002F>   \u003Cimg src=\".\u002Fimgs\u002Fui_4.png\" alt=\"4\" width=\"49%\" \u002F> \u003C\u002Fp> \n\n## 🚀 One-Click Deployment\n\nChatWiki Community Edition is deployed using Docker and can be installed in just a few simple steps:\n\n```\n# Install Docker\nsudo curl -sSL https:\u002F\u002Fget.docker.com\u002F | CHANNEL=stable sh\n# Clone the project\ngit clone https:\u002F\u002Fgithub.com\u002FzhimaAi\u002Fchatwiki.git\ncd chatwiki\u002Fdocker\n# Start the service\ndocker compose up -d\n# Start using it, access via IP:port (ensure the specified port ${CHAT_SERVICE_PORT}, default 18080, is open)\n# Default username: admin\n# Default password: chatwiki.com@123\n```\n\nFor any issues or suggestions during installation and deployment,\nplease [contact us](https:\u002F\u002Fgithub.com\u002FzhimaAi\u002Fchatwiki?tab=readme-ov-file#contact-us) or refer to\nthe [help documentation](https:\u002F\u002Fwww.yuque.com\u002Fzhimaxiaoshiwangluo\u002Fpggco1?source=aHR0cHM6Ly9jaGF0d2lraS5jb20v) for\nassistance. You can also check the guides below.\n\n- [Installing ChatWiki via Installation Assistant](https:\u002F\u002Fwww.yuque.com\u002Fzhimaxiaoshiwangluo\u002Fpggco1\u002Ftvwn5npk63aqikq1)\n\n- [One-Click Deploy ChatWiki Community Edition](https:\u002F\u002Fwww.yuque.com\u002Fzhimaxiaoshiwangluo\u002Fpggco1\u002Fwql8ekkylbwegbzo)\n\n- [Docker Mirror Site Installation + Offline Installation](https:\u002F\u002Fwww.yuque.com\u002Fzhimaxiaoshiwangluo\u002Fpggco1\u002Faa3htgexhdocyagr)\n\n- [Deploy ChatWiki Without Docker](https:\u002F\u002Fwww.yuque.com\u002Fzhimaxiaoshiwangluo\u002Fpggco1\u002Fklriercbhpy97o0g)\n\n- [Deploy ChatWiki Community Edition on Baota Linux Panel](https:\u002F\u002Fwww.yuque.com\u002Fzhimaxiaoshiwangluo\u002Fpggco1\u002Fgefgwdfnclua7d9y)\n\n- [Deploy ChatWiki Community Edition with 1Panel](https:\u002F\u002Fwww.yuque.com\u002Fzhimaxiaoshiwangluo\u002Fpggco1\u002Fmunvto5g1ctc1gcu)\n\n- [How to Configure Model Providers and Supported Models](https:\u002F\u002Fwww.yuque.com\u002Fzhimaxiaoshiwangluo\u002Fpggco1\u002Fpn79lkvl53bo0xxm)\n\n- [Local Model Deployment](https:\u002F\u002Fwww.yuque.com\u002Fzhimaxiaoshiwangluo\u002Fpggco1\u002Fevmy0rr9gr2gp2i0)\n\n- [How to Configure External Services and Domain for Push Notifications](https:\u002F\u002Fwww.yuque.com\u002Fzhimaxiaoshiwangluo\u002Fpggco1\u002Fnfk4slc95s4i8u4v)\n\n- [How to Obtain Large Model API Keys](https:\u002F\u002Fwww.yuque.com\u002Fzhimaxiaoshiwangluo\u002Fpggco1\u002Flx3ho90skq95dpdq)\n\n## 💻 Tech Stack\n\n----\n\n- Frontend: vue.js\n\n- Backend: golang + python\n\n- Database: PostgreSQL16 + pgvector + zhparser\n\n\u003Ch2>🏡 Community & Contact Us \u003Ca name=\"contact-us\">\u003C\u002Fa>\u003C\u002Fh2>\n\n----\nFeel free to contact us for help or to provide suggestions to improve ChatWiki. You can reach us through:\n\n- **Help:** Check\n  the [help documentation](https:\u002F\u002Fwww.yuque.com\u002Fzhimaxiaoshiwangluo\u002Fpggco1?source=aHR0cHM6Ly9jaGF0d2lraS5jb20v)\n- **Email:** Send an email to [jarvis@2bai.com.cn](mailto:jarvis@2bai.com.cn) to contact us.\n- **WeChat:** Scan the QR code below to join the ChatWiki tech community group. Please add the note \"chatwiki\" when\n  adding.\n\n\u003Cp align=\"left\">\u003Cimg src=\".\u002Fimgs\u002Fcontact-us.png\" alt=\"contact-us\">\u003C\u002Fp>\n\n## 📖**Changelog**\n\n---\nFor the complete changelog, please click 👉️👉️[UpdateLog.md](.\u002FUpdateLog.md)\n\n**2026\u002F04\u002F30**\n\n1. [STD] Fixed the issue where the redirect URL was not written out when importing Feishu knowledge base, which is\n   needed for customers to copy\u003Cbr\u002F>\n2. Fixed the property types of function tools (string|number|boolean|object|array)\u003Cbr\u002F>\n3. Added items definition for sub-property types when the function tool property type is array\u003Cbr\u002F>\n\n**2026\u002F04\u002F24**\n\n1. Removed special handling logic for images during knowledge base segmentation\u003Cbr\u002F>\n2. [STD] AI-suggested replies now support binding workflows\u003Cbr\u002F>\n3. [STD] Added default settings feature for model configuration\u003Cbr\u002F>\n4. [STD] Added credits purchase entry on the pricing page\u003Cbr\u002F>\n5. WebApp external service now displays \"Content generated by AI\" notice\u003Cbr\u002F>\n6. Fixed the issue where the API returned an empty document list for regular knowledge base documents and group\n   lists\u003Cbr\u002F>\n\n**2026\u002F04\u002F17**\n\n1. Use concurrency-safe method to access Neo4j status\u003Cbr\u002F>\n2. Fixed abnormal recursion logic for unknown issue recording\u003Cbr\u002F>\n3. Ignore duplicate role permission errors during initialization\u003Cbr\u002F>\n4. Fixed error when clicking download to batch export knowledge base content\u003Cbr\u002F>\n5. Workflow scheduled trigger now checks if previous execution is completed\u003Cbr\u002F>\n\n## License\n\n---\n\nThis project follows the [ChatWiki Open Source License](https:\u002F\u002Fgithub.com\u002FzhimaAi\u002Fchatwiki\u002Fblob\u002Fmain\u002FLICENSE).\nThe [ChatWiki Open Source License](https:\u002F\u002Fgithub.com\u002FzhimaAi\u002Fchatwiki\u002Fblob\u002Fmain\u002FLICENSE) is based on the Apache License\n2.0, but with additional restrictions:\n\n1. ChatWiki is free for individual users, including non-commercial or commercial activities conducted by individuals.\n2. Any company, organization, institution, or team that uses ChatWiki for commercial purposes must contact us to obtain\n   a commercial license.\n3. When using ChatWiki's frontend components, you may not remove or modify the \"ChatWiki\" logo, trademark, or copyright\n   notice contained therein.\n\n**The full license text can be found in the [LICENSE](.\u002FLICENSE) file. For commercial licensing,\nplease [contact us](#contact-us).**\n","ChatWiki 是一个专注于微信生态的AI知识库工作流Agent平台，旨在为每个公众号提供强大的AI客服能力。其核心功能包括深度整合微信生态系统，支持未认证公众号自动回复私信、用户互动触发场景处理以及一键同步公众号文章至知识库等。技术特点上，ChatWiki 支持超过20种主流全球模型，并具备文档知识库管理、问答知识提取与分类、人工介入处理复杂问题等功能。此外，它还提供了多种部署选项及完善的API接口，便于与现有业务系统集成。适用于需要增强微信公众号智能化水平的企业或个人，特别是在客户服务、内容管理和自动化营销等领域。","2026-06-11 03:19:56","top_language"]