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supreme0597 df08fea2b8 feat(skills): 支持远程安装搜索、仓库历史记录与批量删除
- 后端新增全局搜索 skills.sh API (POST /system/skills/remote/search)
- 后端新增批量删除接口 (POST /system/skills/delete-batch),使用行锁防并发
- skill_repository.get_by_slug 支持 for_update 参数
- 前端远程安装弹框重构:Tab 双视图(按仓库拉取/全局搜索)、分页列表
- 前端仓库输入框新增历史记录功能(localStorage 持久化),支持逐条/批量清空
- 前端批量管理模式:全选/反选/清空 + 二次确认批量删除
- 修复 dropdown overlay teleport 到 body 导致 scoped CSS 无法穿透的样式问题
- 补充批量删除及并发锁单元测试
2026-05-25 17:54:58 +08:00
.github fix(workflow): 更新部署工作流程以确保在推送和 PR 中正确触发构建 2026-04-06 11:40:01 +08:00
backend feat(skills): 支持远程安装搜索、仓库历史记录与批量删除 2026-05-25 17:54:58 +08:00
docker feat(doc): 更新 MinerU 解析器参数,修改 Docker 配置,优化文档说明 2026-05-17 01:58:04 +08:00
docs feat: 修复 @ mention 搜索漏洞并重构优化 AgentPanel 自动打开策略 2026-05-22 12:30:22 +08:00
scripts fix: 更新 Dockerfile 中的 Node.js 版本至 24,修复相关依赖 #684 2026-05-10 18:05:13 +08:00
web feat(skills): 支持远程安装搜索、仓库历史记录与批量删除 2026-05-25 17:54:58 +08:00
.dockerignore add docker support for whole project 2024-09-11 01:09:35 +08:00
.env.template feat(doc): 优化 rapidocr 2026-05-17 01:58:04 +08:00
.gitignore Merge remote-tracking branch 'origin/dev' into supreme/feat/svg-render 2026-05-23 19:20:05 +08:00
AGENTS.md feat(auth): 下放扩展管理权限 2026-05-14 13:13:41 +08:00
ARCHITECTURE.md feat: 将kb 从沙盒映射中移除,取而代之的是一个新的 Open 工具,可以提供自由且可控的文件访问 2026-05-17 01:58:04 +08:00
CLAUDE.md feat(auth): 下放扩展管理权限 2026-05-14 13:13:41 +08:00
CONTRIBUTING.md feat(auth): 下放扩展管理权限 2026-05-14 13:13:41 +08:00
docker-compose.prod.yml feat(doc): 优化 rapidocr 2026-05-17 01:58:04 +08:00
docker-compose.yml feat(doc): 优化 rapidocr 2026-05-17 01:58:04 +08:00
LICENSE refactor: 更新文档部署说明 2026-03-24 11:09:46 +08:00
Makefile feat: 更新 up-lite 命令,添加 VITE_USE_RUNS_API=false 环境变量 2026-03-29 11:11:59 +08:00
README.en.md docs: 添加英文 README 2026-05-11 21:08:02 +08:00
README.md docs: 添加英文 README 2026-05-11 21:08:02 +08:00

Yuxi - A Multi-tenant Harness Platform Combining Knowledge Bases and Knowledge Graphs

License DeepWiki zread demo

xerrors%2FYuxi | Trendshift

[Docs] · [中文]

arch

*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 v0.6.1 --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
Home
Dashboard statistics
Dashboard Statistics
Agent configuration
Agent Configuration
Knowledge base invocation
Knowledge Base Invocation
Create knowledge base
Create Knowledge Base
Knowledge base management
Knowledge Base Management
Knowledge graph
Knowledge Graph Visualization
Project docs
Project Documentation
Skills management
Extension Management (Skills)
MCPs management
Extension Management (MCPs)
User and department permissions
User / Department Permission Management
Model provider configuration
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

Star History Chart

📄 License

This project is licensed under the MIT License. See LICENSE for details.


If this project helps you, please give us a .