本次提交完成了一系列核心功能迭代与优化: 1. 新增并完善了多个领域模型与端口定义,补充了`__all__`导出规范 2. 优化了会话、绑定、出箱等模块的数据模型,修复了时间字段类型不一致问题 3. 新增了代理ID解析、缓存发布等接口,扩展了系统能力 4. 重构了去重中间件逻辑,优化了空内容校验规则 5. 新增了认证中间件的匿名访问支持,完善了鉴权流程 6. 优化了SSE连接管理,增加了单会话连接上限限制 7. 重构了消息日志与仓储相关代码,将数据类迁移至对应模型目录 8. 新增了重复绑定校验、绑定更新接口,完善了绑定服务逻辑 9. 优化了健康检查逻辑,新增了环境变量控制启动时间线展示 10. 重构了出箱重试工作线程,使用缓存端口替代直接redis操作,新增了消息处理标记逻辑 11. 完善了飞书、Web、钩子等通道的翻译器逻辑,补充了账户ID传递 12. 新增了多种自定义异常类型,优化了异常映射与错误处理流程 13. 完善了配置热重载逻辑,同步认证凭证与校验器配置 14. 重构了Redis缓存实现,增加了异常捕获与包装 |
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| .github | ||
| backend | ||
| docker | ||
| docs | ||
| scripts | ||
| web | ||
| .dockerignore | ||
| .env.template | ||
| .gitignore | ||
| AGENTS.md | ||
| ARCHITECTURE.md | ||
| CLAUDE.md | ||
| CONTRIBUTING.md | ||
| docker-compose.prod.yml | ||
| docker-compose.yml | ||
| LICENSE | ||
| Makefile | ||
| README.en.md | ||
| README.md | ||
*Image generated by GPT-Image-2.
Core Features
- Agent development: Built on LangGraph, with support for sub-agents, Skills, MCPs, Tools, and middleware.
- Knowledge base (RAG): Multi-format document parsing, Embedding / Rerank configuration, and knowledge base evaluation.
- Knowledge graph: Graph construction and visualization based on LightRAG, with property graph support for agent reasoning.
- Platform and engineering: Vue + FastAPI architecture with dark mode, Docker-based development, and production-oriented deployment.
Quick Start
Clone the repository and initialize the project:
git clone --branch v0.6.2 --depth 1 https://github.com/xerrors/Yuxi.git
cd Yuxi
# Linux/macOS
./scripts/init.sh
# Windows PowerShell
.\scripts\init.ps1
Start the project with Docker:
docker compose up --build
After the services are ready, open http://localhost:5173.
Examples and Demo
Home |
Dashboard Statistics |
Agent Configuration |
Knowledge Base Invocation |
|
Create Knowledge Base |
Knowledge Base Management |
|
Knowledge Graph Visualization |
Project Documentation |
Extension Management (Skills) |
Extension Management (MCPs) |
|
User / Department Permission Management |
Model Provider Configuration |
Acknowledgements
Yuxi references and builds on the following excellent open-source projects:
- LightRAG - Used as the foundation for graph construction and retrieval.
- DeepAgents - Used as the deep agent framework.
- DeerFlow - Referenced for Sandbox agent architecture ideas.
- RAGflow - Referenced for document text chunking strategies.
- LangGraph - Multi-agent orchestration framework and the core architectural foundation of this project.
- QwenPaw - Referenced for model configuration and personal file area design.
Contributing
Thanks to all contributors for supporting this project!
Star History
📄 License
This project is licensed under the MIT License. See LICENSE for details.
If this project helps you, please give us a ⭐️.
