{"data":{"slug":"labring-fastgpt","name":"FastGPT","tagline":"A knowledge-based platform built on LLMs for developing and deploying complex question-answering systems","github_url":"https://github.com/labring/FastGPT","owner":"labring","repo":"FastGPT","owner_avatar_url":"https://avatars.githubusercontent.com/u/102226726?v=4","primary_language":"TypeScript","stars":29366,"forks":7264,"topics":["agent","claude","deepseek","llm","mcp","nextjs","openai","qwen","rag","workflow"],"archived":false,"github_pushed_at":"2026-08-16T15:38:02+00:00","maintenance_label":"Very active","stars_delta_30d":360,"url":"https://www.graphcanon.com/tools/labring-fastgpt","markdown_url":"https://www.graphcanon.com/tools/labring-fastgpt.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/labring-fastgpt","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=labring-fastgpt","description":"FastGPT is a knowledge-based platform built on the LLMs, offers a comprehensive suite of out-of-the-box capabilities such as data processing, RAG retrieval, and visual AI workflow orchestration, letting you easily develop and deploy complex question-answering systems without the need for extensive setup or configuration.","homepage_url":"https://fastgpt.io","license":"Other","open_issues":165,"watchers":147,"ai_summary":"FastGPT provides comprehensive capabilities including data processing, RAG retrieval, and visual AI workflow orchestration for creating sophisticated question-answering systems with less setup.","readme_excerpt":"<div align=\"center\">\n\n<a href=\"https://fastgpt.io/?utm_source=github&utm_medium=referral&utm_campaign=github_home&utm_content=logo\"><img src=\"/.github/imgs/logo.svg\" width=\"120\" height=\"120\" alt=\"fastgpt logo\"></a>\n\n# FastGPT\n\n<p align=\"center\">\n  <a href=\"./README_en.md\">English</a> |\n  <a href=\"./README.md\">简体中文</a> |\n  <a href=\"./README_id.md\">Bahasa Indonesia</a> |\n  <a href=\"./README_th.md\">ไทย</a> |\n  <a href=\"./README_vi.md\">Tiếng Việt</a> |\n  <a href=\"./README_ja.md\">日本語</a>\n</p>\n\nFastGPT 是一个 AI Agent 构建平台，提供开箱即用的数据处理、模型调用等能力，同时可以通过 Flow 可视化进行工作流编排，从而实现复杂的应用场景。\n\n</div>\n\n<p align=\"center\">\n  <a href=\"https://fastgpt.io/?utm_source=github&utm_medium=referral&utm_campaign=github_home&utm_content=cloud_badge\">\n    <img height=\"21\" src=\"https://img.shields.io/badge/在线使用-d4eaf7?style=flat-square&logo=spoj&logoColor=7d09f1\" alt=\"cloud\">\n  </a>\n  <a href=\"https://doc.fastgpt.io/guide/getting-started\">\n    <img height=\"21\" src=\"https://img.shields.io/badge/相关文档-7d09f1?style=flat-square\" alt=\"document\">\n  </a>\n  <a href=\"https://doc.fastgpt.io/self-host/dev\">\n    <img height=\"21\" src=\"https://img.shields.io/badge/本地开发-%23d4eaf7?style=flat-square&logo=xcode&logoColor=7d09f1\" alt=\"development\">\n  </a>\n  <a href=\"/#-%E7%9B%B8%E5%85%B3%E9%A1%B9%E7%9B%AE\">\n    <img height=\"21\" src=\"https://img.shields.io/badge/相关项目-7d09f1?style=flat-square\" alt=\"project\">\n  </a>\n</p>\n\nhttps://github.com/labring/FastGPT/assets/15308462/7d3a38df-eb0e-4388-9250-2409bd33f6d4\n\n## 快速开始\n\n可以通过 Docker 快速启动 FastGPT，在终端输入以下命令，根据引导完成输入即可拉取配置。\n\n```bash\n# 输入命令拉取配置文件\nbash <(curl -fsSL https://doc.fastgpt.io/deploy/install.sh)\n# 启动\ndocker compose up -d\n```\n\n完全启动后，可通过 `http://localhost:3000` 访问 FastGPT，默认账号为 `root`，密码为 `1234`。\n\n如果你遇到问题，可以[查看完整 Docker 部署教程](https://doc.fastgpt.io/self-host/deploy/docker)\n\n## 🛸 使用方式\n\n- **云服务版本**  \n  如果你不需要私有化部署，可以直接使用我们提供的云服务版本，地址为：[fastgpt.io](https://fastgpt.io/?utm_source=github&utm_medium=referral&utm_campaign=github_home&utm_content=cloud_service_link)\n\n- **社区自托管版本**  \n  可以使用[Docker](https://doc.fastgpt.io/self-host/deploy/docker)快速部署，也可以使用[Sealos Cloud](https://doc.fastgpt.io/self-host/deploy/sealos) 来一键部署FastGPT。\n\n- **商业版**  \n  如果你需要更完整的功能，或深度的服务支持，可以选择我们的[商业版](https://doc.fastgpt.io/guide/version/commercial)。我们除了提供完整的软件外，还提供相应的场景落地辅导，具体可提交[商业咨询](https://fastgpt.cn/zh/contact?utm_source=github&utm_medium=referral&utm_campaign=github_home&utm_content=commercial_consultation)\n\n## 💡 核心功能\n\n|                                    |                                    |\n| ---------------------------------- | ---------------------------------- |\n|  |  |\n|  |  |\n\n`1` 应用编排能力\n   - [x] Agent Skill 编排\n   - [x] 对话工作流、插件工作流，包含基础的 RPA 节点\n   - [x] 用户交互\n   - [x] 双向 MCP\n   - [ ] 辅助生成工作流\n\n`2` 应用调试能力\n   - [x] 知识库单点搜索测试\n   - [x] 对话时反馈引用并可修改与删除\n   - [x] 完整调用链路日志\n   - [x] 应用评测\n   - [ ] 高级编排 DeBug 调试模式\n   - [ ] 应用节点日志\n\n`3` 知识库能力\n   - [x] 多库复用，混用\n   - [x] chunk 记录修改和删除\n   - [x] 支持手动输入，直接分段，QA 拆分导入\n   - [x] 支持 TXT，MD，HTML，PDF，Docx，PPTX，CSV，XLSX (有需要更多 File Loader 可 PR )，支持 URL 读取、CSV 批量导入\n   - [x] 混合检索 & 重排\n   - [x] API 知识库\n\n`4` 插件能力\n   - [x] 系统工具热更新\n   - [ ] RAG 模块热更新\n   - [ ] Agent-loop 热更新\n   - [ ] AI 实时生成插件\n\n`5` 运营能力\n   - [x] 免登录分享窗口\n   - [x] iframe 一键嵌入\n   - [x] 统一查阅对话记录，并对数据进行标注\n   - [x] 应用运营日志\n\n<a href=\"#readme\">\n    <img src=\"https://img.shields.io/badge/-返回顶部-7d09f1.svg\" alt=\"#\" align=\"right\">\n</a>\n\n## 💪 我们的项目 & 链接\n\n- [快速开始本地开发](https://doc.fastgpt.io/self-host/dev/)\n- [OpenAPI 文档](https://cloud.fastgpt.io/apidoc/systemopenapi)\n- [FastGPT-plugin](https://github.com/labring/fastgpt-plugin)\n- [AI Proxy: 模型聚合负载均衡服务](https://github.com/labring/aiproxy)\n- [Sealos：快速部署集群应用](https://github.com/labring/sealos)\n\n<a href=\"#readme\">\n    <img src=\"https://img.shields.io/badge/-返回顶部-7d09f1.svg\" alt=\"#\" align=\"right\">\n</a>\n\n## 🌿 第三方生态\n\n- [AI Proxy：大模型聚合服务](https://sealos.run/aiproxy/?k=fastgpt-github/)\n- [SiliconCloud (硅基流动) —— 开源模型在线体验平台](https://cloud.siliconflow.cn/i/TR9Ym0c4)\n\n<a href=\"#readme\">\n    <img src=\"https://img.shields.io/badge/-返回顶部-7d09f1.svg\"","github_created_at":"2023-02-23T16:53:25+00:00","created_at":"2026-07-07T17:32:16.2707+00:00","updated_at":"2026-08-16T18:01:36.86171+00:00","categories":[{"slug":"ai-agents","name":"AI Agents","url":"https://www.graphcanon.com/categories/ai-agents","markdown_url":"https://www.graphcanon.com/categories/ai-agents.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/ai-agents"},{"slug":"data-retrieval","name":"Data & Retrieval","url":"https://www.graphcanon.com/categories/data-retrieval","markdown_url":"https://www.graphcanon.com/categories/data-retrieval.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/data-retrieval"},{"slug":"llm-frameworks","name":"LLM Frameworks","url":"https://www.graphcanon.com/categories/llm-frameworks","markdown_url":"https://www.graphcanon.com/categories/llm-frameworks.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/llm-frameworks"}],"tags":[{"slug":"agent","name":"agent"},{"slug":"claude","name":"claude"},{"slug":"deepseek","name":"deepseek"},{"slug":"llm","name":"llm"},{"slug":"mcp","name":"mcp"},{"slug":"nextjs","name":"nextjs"},{"slug":"openai","name":"openai"},{"slug":"qwen","name":"qwen"}],"trust":{"provenance":{"is_fork":false,"github_id":605673387,"owner_type":"Organization","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-08-16T18:01:35.976Z","maintenance":{"label":"Very active","score":96,"methodology":"github_public_v1","releases_90d":28,"days_since_push":0,"last_release_at":"2026-08-14T16:44:56Z","stars_delta_30d":360,"open_issues_delta_30d":7},"security_summary":{"status":"no_manifest","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-11T10:58:37.599Z","medium_count":0,"scan_profile":"mcp_manifest","critical_count":0}},"capability_facts":{"mcp":{"source":"repo_scan","observed_at":"2026-08-16T18:01:36.433Z","server_manifest":false},"scan":{"source":"repo_scan","observed_at":"2026-08-16T18:01:36.433Z"},"languages":{"value":["typescript","javascript"],"source":"github.language+package.json","observed_at":"2026-08-16T18:01:36.433Z"},"license_spdx":{"value":"Other","source":"github.license","observed_at":"2026-08-16T18:01:36.433Z"}},"decision_facts":{"hosting":null,"pricing":null,"requirements":null,"constraints":null,"when_to_use":["You prioritize ease of setup and configuration for advanced AI applications.","Your project requires integration of visual workflow orchestration tools without heavy initial set up.","You are working on complex Q&A systems where rich retrieval augmentation from both generated text and external data sources is key."],"when_not_to_use":["If your needs extend beyond question-answering to other AI applications that require extensive customization which FastGPT does not natively support.","When the level of customization for specific data processors or RAG methods is more critical than out-of-the-box functionality.","Your use case requires a broader array of model integration, as FastGPT currently specializes in certain frameworks and may lack the depth needed for highly specialized models."],"source":"enrich:decision_facts","observed_at":"2026-07-11T13:10:28.849Z"},"constraint_facets":null,"decision_summary":[{"label":"Adopt for","value":"FastGPT is a knowledge-based platform optimized for developing and deploying complex question-answering systems with built-in capabilities to process data, retrieve relevant information through RAG techniques, and enable"}]}}