by Yanyutin753 · MCP 服务器 · ★ 187
🐑 LambChat An open-source AI Agent platform for building, running, and sharing agents that actually finish work. []() []() []() []() []() []() English · 简体中文 · Documentation · Contributing ✨ Highlights 🤖 Agent Runtime — Deep agent graphs, sub-agents, thinking mode, streaming output, and human approval 🔧 MCP & Tools — System/user MCP, encrypted secrets, sandbox execution (Daytona/E2B) 🧠 Memory & Skills — Cross-session memory, skill marketplace, GitHub sync, persona presets 📱 Full-Stack Client — React 19 web, Capacitor mobile, Tauri desktop, PWA support 🚀 Production Ready — FastAPI,...
| Stars | 187 |
| Forks | 34 |
| Language | Python |
| Category | MCP 服务器 |
| Quality Score | 45.93/100 |
| Open Issues | 3 |
| Last Updated | 2026-06-16 |
| Created | 2026-02-27 |
| Platforms | mcp, python |
| Est. Tokens | ~17k |
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LambChat is LambChat — A multi-tenant AI Agent Harness Platform. Skills + MCP dual-engine powered, built for scale and isolation. SSE real-time streaming, multi-modal document intelligence, JWT/RBAC enterprise se. It is categorized as a MCP 服务器 with 187 GitHub stars.
LambChat is primarily written in Python. It covers topics such as agent, deepagents, mcp.
You can find installation instructions and usage details in the LambChat GitHub repository at github.com/Yanyutin753/LambChat. The project has 187 stars and 34 forks, indicating an active community.