Build, run, and share AI agents that actually finish work
LambChat is an open-source AI Agent platform: multi-model chat, MCP tools, a skills engine, persistent memory, and production-ready deployment β in one self-hostable stack.
What LambChat can do
π€ Agent Runtime
Deep agent graphs with sub-agents, thinking mode, streaming output, and human approval for risky actions.
π§ MCP & Tools
System-level and per-user MCP servers, encrypted secrets, and sandboxed code execution on Daytona, E2B, or CubeSandbox.
π§ Memory & Skills
Cross-session memory, a skill marketplace, GitHub-synced skills, and reusable persona presets.
π¬ Multi-Model Chat
Bring your own keys for Claude, GPT, Gemini, and more β with SSE streaming, multimodal input, and document processing.
π± Full-Stack Client
React 19 web app, Capacitor mobile apps, Tauri desktop app, and installable PWA β one backend for all of them.
π Production Ready
JWT auth with RBAC, realtime sync, scheduled tasks, usage tracking, and Docker / Kubernetes deployment recipes.
Why LambChat
Most agent products stop at βchat with tools.β LambChat is designed for the longer path: configure models, connect tools safely, let agents create artifacts, persist useful context, share results, approve risky actions, and deploy the whole system for real users β self-hosted, open source (MIT), and bilingual documentation included.
Under the hood
Python 3.12 + FastAPI +
LangGraph / deepagents Β· MongoDB +
Redis + arq Β·
React 19 + TypeScript +
Vite Β· Deploy with Docker or
Kubernetes. English, δΈζ, ζ₯ζ¬θͺ, νκ΅μ΄, and
Π ΡΡΡΠΊΠΈΠΉ interfaces.