AutoGPT vs lobehub
AutoGPT and lobehub are two comparable projects, each with trade-offs depending on your needs. AutoGPT is the more popular choice (185,459 vs 79,727 stars). AutoGPT scores higher on our maintenance health metric (100 vs 90). Both are MIT-licensed.
| AutoGPT | lobehub | |
|---|---|---|
| Summary | AutoGPT is a platform for building, deploying, and running continuous AI agents that automate multi-step workflows. It pairs a low-code visual agent builder (connecting "blocks" into workflows) with a server runtime, marketplace of pre-built agents, and the original standalone AutoGPT Agent plus the Forge toolkit and agbenchmark. | LobeHub (formerly LobeChat) is an open-source, self-hostable platform for building and operating teams of AI agents. It centers on "agents as the unit of work," offering an agent builder, multi-agent collaboration (groups, pages, scheduling, projects), MCP-compatible plugins/tools, persistent personal memory, and support for many model providers. |
| Category | Agent frameworks | Agent frameworks |
| Language | Python | TypeScript |
| License | MIT | MIT |
| Stars | 185,459 | 79,727 |
| Downloads/wk | — | — |
| Security | — | 3 advisories |
| Health | 100 | 90 |
| Last commit | 7/11/2026 | 7/11/2026 |
| Source | GitHub | GitHub |