Claude Skill
lobu-ai/lobu
Lobu is an open-source multi-tenant platform for deploying autonomous AI agents in organizations. Built on OpenClaw, it enables chatbot-style personal assistants to automate tasks and workflows.
Overview
Repository
Install this Skill
npx @lobu/cli@latest init my-botRegistry
npx @lobu/cli@latest init my-botnpx @lobu/cli@latest run # boots the stack and applies your agentnpx @lobu/cli@latest chat -c local "hello" # talk to itclaude mcp add --transport http lobu https://lobu.ai/mcp # or http://localhost:8787/mcp locallynpx @lobu/cli@latest login
Summary
Lobu is an open-source platform for deploying autonomous AI agents within organizations, built on a multi-tenant architecture called OpenClaw. It enables teams to create, manage, and interact with intelligent agents that can automate tasks, answer questions, and assist with daily workflows.
组织中的自主代理。多租户OpenClaw
Key features
- Multi-tenant OpenClaw architecture for scalable agent deployment
- Autonomous agents that operate within organizational boundaries
- Chatbot-style interaction for natural communication
- Personal assistant capabilities for task automation
- Built with TypeScript for reliability and maintainability
Use cases
- Automating routine organizational tasks with AI agents
- Building internal chatbots for employee support
- Deploying personal assistants for scheduling and reminders
- Creating multi-tenant agent systems for different departments
README excerpt
# Lobu — Open-source backend for AI teammates **Lobu** is open-source infrastructure for autonomous agents that **watch**, **remember**, and **act** where your team already works. Connect company tools, build living memory, and let agents run on schedules, in Slack threads, or over MCP — with sandboxed execution per user or channel and credentials agents never see. Under the hood, workers run an [OpenClaw](https://openclaw.ai/)-style agent loop (bash, files, MCP tools, skills) inside an isolated sandbox per conversation. One Node process serves many agents and channels; shared memory and connectors live in Postgres (pgvector). Embed agents in your product, or give your team their own without running a separate instance per person. https://github.com/user-attachments/assets/d72a9286-0325-4b8b-afc0-c1efe9c96f4e ## Two ways in ### 1. Full agent — Slack, Telegram, watchers, connectors Scaffold and run locally with the CLI. Lobu boots as a single Node process with zero-config embedded Postgres by default (or bring your own — pgvector required — via `DATABASE_URL`). `lobu run` opens the web UI on `:8787` and can wire Slack via the hosted bot or your own app. ```bash npx @lobu/cli@latest init my-bot cd my-bot npx @lobu/cli@latest run # boots the stack and applies your agent npx @lobu/cli@latest chat -c local "hello" # talk to it ``` `lobu run` auto-applies your `lobu.config.ts`, so the scaffolded agent is usable immediately. To use an external Postgres, set `DATABASE_URL` in `.env`; to push later config changes, run `lobu apply`. Next steps: [Getting started](https://lobu.ai/getting-started/) (project layout, develop with your coding agent, evals) · [Memory](https://lobu.ai/getting-started/memory/) · [Skills](https://lobu.ai/getting-started/ski