head to head · open source
LobeChat vs FLUJO
LobeChat has 82,547 GitHub stars, 15,891 forks, 922 open issues and last shipped yesterday. FLUJO has 629 stars, 88 forks, 26 open issues and last shipped 2 days ago. LobeChat leads on adoption by 13,024% (82,547 vs 629 stars). LobeChat is written in TypeScript under a custom or non-standard licence; FLUJO is written in TypeScript under MIT. LobeChat has attracted 19% as many forks as stars, FLUJO 14%. LobeChat was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (claude, gemini), so they are genuine substitutes rather than adjacent tools.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| LobeChat | FLUJO | |
|---|---|---|
| GitHub stars | ★ 83K | ★ 629 |
| License | Custom / other | MIT |
| Written in | TypeScript | TypeScript |
| Last push | 2026-09-17 | 2026-09-16 |
| Forks | ⑂ 16K | ⑂ 88 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick LobeChat if
- You weight community size — 83K stars and counting
- You want the Custom / other license terms
- Your stack matches TypeScript
- You value the larger contributor base for long-term maintenance
pick FLUJO if
- You want the FLUJO feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches TypeScript
- You evaluated both and FLUJO fits your workflow better
About LobeChat
LobeHub is an open source platform for managing, building, and operating AI agent teams. It functions as a Chief Agent Operator (CAO), enabling users to organize, schedule, and monitor autonomous AI agents around the clock. The project lives in the AI interaction and interfaces ecosystem, integrating with major LLM providers like OpenAI, Anthropic, DeepSeek, and Alibaba’s GLM series.
read the full LobeChat overview →
About FLUJO
FLUJO is an open source, local first visual builder for multi agent AI workflows that lets you connect models and apps, build agents as step by step recipes or expert visual flows, inspect every run, and expose those same agents through OpenAI compatible and MCP endpoints, aimed at developers, automation builders, and technical teams that want their keys and data to stay under their own control.
read the full FLUJO overview →
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Frequently asked questions
Is LobeChat or FLUJO more popular?
LobeChat has 82,547 GitHub stars and FLUJO has 629. LobeChat has the larger community by that measure.
Are LobeChat and FLUJO free?
Both are open source. LobeChat has no licence declared in this registry, and FLUJO is licensed under MIT. Both are free to self-host.
What is the difference between LobeChat and FLUJO?
LobeChat is written in TypeScript and FLUJO in TypeScript. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, LobeChat or FLUJO?
Choose LobeChat if you want the larger community (82,547 stars) or its Custom / other licence terms. Choose FLUJO if its feature set, stack or MIT licence fits better. Both are self-hostable.