LambChat
mcp
LambChat — A pluggable, multi-tenant AI conversation system. Skills + MCP dual-engine driven, modular by design. SSE streaming, multi-modal document processing, JWT/RBAC auth, and GitHub-synced Skills.
README.md
🐑 LambChat
A production-ready AI Agent system built with FastAPI + deepagents
English · 简体中文 · Contributing
📸 Screenshots
![]() Login |
![]() Chat |
![]() Streaming |
![]() Skills |
![]() MCP Config |
![]() Share |
![]() Roles |
![]() Settings |
![]() Mobile |
🏗️ Architecture

✨ Features
🤖 Agent System- deepagents Architecture — Compiled graph with fine-grained state management
- Multi-Agent Types — Core / Fast / Search agents
- Plugin System —
@register_agent("id")decorator for custom agents - Streaming Output — Native SSE support
- Sub-agents — Multi-level nesting
- Thinking Mode — Extended thinking for Anthropic models
- Human-in-the-Loop — Approval system for sensitive operations
- System + User Level — Global and per-user MCP configs
- Encrypted Storage — API keys encrypted at rest
- Dynamic Caching — Tool caching with manual refresh
- Multiple Transports — SSE / HTTP
- Permission Control — Transport-level access control
- Dual Storage — File system + MongoDB backup
- Access Control — User-level permissions
- GitHub Sync — Import skills from GitHub repos
- Skill Creator — Built-in creation toolkit with evaluation tools
- Feedback — Thumbs rating, text comments, session-linked, run-level stats
- Documents — PDF / Word / Excel / PPT / Markdown / Mermaid preview + image viewer
- Cloud Storage — S3 / OSS / MinIO integration, drag & drop upload
- Realtime — Dual-write (Redis + MongoDB), WebSocket, auto-reconnect, session sharing
- Security — JWT, RBAC (Admin/User/Guest), bcrypt, OAuth, email verification, sandbox
- Tasks — Concurrency control, cancellation, heartbeat, pub/sub notifications
- Observability — LangSmith tracing, structured logging, health checks
- Channels — Feishu (Lark) native integration, extensible multi-channel system
- React 19 + Vite + TailwindCSS
- ChatGPT-style interface with dark/light theme
- i18n — English, Chinese, Japanese, Korean
- Responsive — Mobile, tablet, desktop
⚙️ Configuration
14 setting categories configurable via UI or environment variables:
| Category | Description |
|---|---|
| Frontend | Default agent, welcome suggestions, UI preferences |
| Agent | Debug mode, logging level |
| LLM | Model, temperature, max tokens, API key & base URL |
| Session | Session management |
| Database | MongoDB connection |
| Storage | Persistent storage, S3/OSS/MinIO |
| Security | Encryption & security policies |
| Sandbox | Code sandbox settings |
| Skills | Skill system config |
| Tools | Tool system settings |
| Tracing | LangSmith & tracing |
| User | User management |
| Memory | Memory system (hindsight) |
🚀 Quick Start
Prerequisites
- Python 3.12+ · Node.js 18+ · MongoDB · Redis
Setup
git clone https://github.com/Yanyutin753/LambChat.git
cd LambChat
# Docker (recommended)
cd deploy && cp .env.example .env # Edit with your config
docker compose up -d
# Or local development
cp .env.example .env # Edit with your config
make install && make dev
→ Open http://localhost:8000
Code Quality
ruff format src/ # Format
ruff check src/ # Lint
mypy src/ # Type check
Project Structure
src/
├── agents/ # Agent implementations (core, fast, search)
├── api/ # FastAPI routes & middleware
├── infra/ # Infrastructure services
│ ├── agent/ # Agent config & events
│ ├── auth/ # JWT authentication
│ ├── channel/ # Multi-channel (Feishu, etc.)
│ ├── feedback/ # Feedback system
│ ├── llm/ # LLM integration
│ ├── mcp/ # MCP protocol
│ ├── memory/ # Memory & hindsight
│ ├── role/ # RBAC
│ ├── sandbox/ # Sandbox execution
│ ├── session/ # Session management (dual-write)
│ ├── skill/ # Skills system
│ ├── storage/ # S3/OSS/MinIO
│ ├── task/ # Task management
│ ├── tool/ # Tool registry & MCP client
│ └── ...
├── kernel/ # Core schemas, config, types
└── skills/ # Built-in skills
⭐ Star History
📄 License
MIT — Project name "LambChat" and its logo may not be changed or removed.
Made with ❤️ by Clivia
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