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.

What it solves

LobeHub addresses the fragmentation of AI agents, which are typically one-off, task-driven tools that lack context and require manual hand-offs. It provides a unified work-and-lifestyle space where agents are treated as the primary unit of work, allowing users to build, organize, and collaborate with a team of AI agents that grow and evolve with the user.

How it works

LobeHub acts as an infrastructure for multi-agent collaboration. It features an Agent Builder for rapid setup and auto-configuration of personalized agents. It integrates a library of over 10,000 tools and MCP-compatible plugins to give agents specific skills. The system supports Agent Groups for parallel collaboration and iterative improvement, and includes a shared context via "Pages" for content refinement. It also implements a "White-Box Memory" system for transparent, editable personal memory that allows agents to learn from user behavior.

Who it’s for

LobeHub is designed for both general users and professional developers who want to move beyond simple chatbots to a structured AI agent team for productivity and lifestyle management.

Highlights

  • Agent-Centric Workflow: Treats agents as the unit of work rather than individual conversations.
  • Multi-Agent Collaboration: Supports Agent Groups, scheduled runs, and shared workspaces for team-based AI work.
  • Extensive Tooling: Access to 10,000+ skills and MCP-compatible plugins.
  • Transparent Memory: Editable, structured personal memory for continual learning.
  • Flexible Deployment: Supports self-hosting via Docker, Vercel, Zeabur, Sealos, or Alibaba Cloud.

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