lobehub (lobehub/lobehub) is an open-source AI project on GitHub. Repository summary: The ultimate space for work and life — to find, build, and collaborate with agent teammates that grow with you. We are taking agent harness to the next level — enabling multi-agent collaboration, effortless agent team design, and introducing agents as the unit of work interaction. Its focus includes multi-agent orchestration, MCP and tool-calling integration, team collaboration integrations. It is suitable for extension, integration, and iterative delivery in real workflows.
License
Other
Stars
75,867
Homepage
https://lobehub.com/Features
- Core capability: The ultimate space for work and life — to find, build, and collaborate with agent teammates that grow with you. We are taking agent harness to the next level — enabling multi-agent collaboration, effortless agent team design, and introducing agents as the unit of work interaction.
- Supports multi-agent coordination and task decomposition
- Provides MCP or tool-calling integration
- Integrates with team collaboration and business systems
- Repository: lobehub/lobehub
- Primary language: TypeScript
Use Cases
- Used for decomposing and running complex tasks in parallel
- Connects external systems into agent workflows
- Used for team knowledge collaboration and task follow-ups
- Build internal AI workflow prototypes with lobehub
- Validate lobehub in production-like engineering scenarios
- Building AI development workflows
FAQ
Teams should first define integration boundaries and call patterns, then map repository capabilities into concrete interfaces, parameters, and access rules. GitHub repository: https://github.com/lobehub/lobehub. Community traction is around 75,867 stars. License: Other.
It usually works as an execution component or capability layer, with common deployment fits such as: Used for decomposing and running complex tasks in parallel, Connects external systems into agent workflows, Used for team knowledge collaboration and task follow-ups.
