lobehub/lobehub

🤯 LobeHub is your Chief Agent Operator, organizing your agents into 7×24 operations by hiring, scheduling, and reporting on your entire AI team.

LobeHub – Your Chief Agent Operator

What it is

  • A web‑based platform that lets you hire, schedule, and monitor a team of AI agents as if they were human coworkers.
  • Agents are treated as the unit of work: you can create them with a single description, give them access to any LLM model, and attach thousands of ready‑made tools (plugins) for specific tasks.
  • The service provides a shared workspace where agents can collaborate, keep a personal, editable memory, and run automatically on a schedule.

Key capabilities

Feature What you get
Operator Central dashboard to manage the whole AI team, with an instant‑messaging‑style gateway so agents appear in the chat you already use.
Create Agent Builder – describe a role once and the system configures the agent, connects it to any LLM (OpenAI, Claude, etc.) and to a library of 10 000+ tools and MCP‑compatible plugins.
Collaborate Agent Groups let multiple agents work together on a shared context. You can organise work into Pages, Projects, Workspaces and set Schedules for autonomous runs.
Evolve Personal Memory – structured, editable memory that grows with you, enabling continual learning and transparent, “white‑box” recall of past interactions.

How to run it

  • Self‑hosting is officially supported. You can deploy with one‑click services (Vercel, Zeabur, Sealos, Alibaba Cloud) or run a Docker image locally.
  • The only mandatory environment variable is an OpenAI API key; optional variables let you proxy the API or customise the model list.
  • Docker setup steps: create a storage folder, run a bootstrap script (curl … | bash), then docker compose up -d.

Ecosystem

  • LobeHub ships a set of reusable UI libraries (@lobehub/ui, @lobehub/icons, @lobehub/tts, @lobehub/lint) that developers can import into their own AIGC web apps.

Who it’s for

  • Developers who want a ready‑made backend for multi‑agent workflows without building the orchestration layer themselves.
  • Teams that need a persistent, schedule‑driven AI assistant that can remember context across sessions.
  • Hobbyists looking for a plug‑and‑play AI‑agent playground that can be run locally or in the cloud.

Bottom line LobeHub is a genuine, open‑source project focused on AI‑agent orchestration—providing the infrastructure to treat agents like employees, complete with hiring, scheduling, collaboration, and memory. It is actively maintained, offers multiple deployment options, and integrates with the broader LobeHub UI component ecosystem.

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