head to head · open source
LobeChat vs AnythingLLM
LobeChat has 82,547 GitHub stars, 15,891 forks, 922 open issues and last shipped yesterday. AnythingLLM has 66,141 stars, 7,347 forks, 311 open issues and last shipped yesterday. LobeChat leads on adoption by 25% (82,547 vs 66,141 stars). LobeChat is written in TypeScript under a custom or non-standard licence; AnythingLLM is written in JavaScript under MIT. LobeChat has attracted 19% as many forks as stars, AnythingLLM 11%. LobeChat was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (agent-harness), 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.
← all 8884 open source comparisons
Side by side
| LobeChat | AnythingLLM | |
|---|---|---|
| GitHub stars | ★ 83K | ★ 66K |
| License | Custom / other | MIT |
| Written in | TypeScript | JavaScript |
| Last push | 2026-09-17 | 2026-09-17 |
| Forks | ⑂ 16K | ⑂ 7.3K |
| 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 AnythingLLM if
- You want the AnythingLLM feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches JavaScript
- You evaluated both and AnythingLLM 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 AnythingLLM
AnythingLLM is a local first AI application that enables users to chat with their documents using any large language model (LLM), local or cloud hosted. It runs as a self hosted service—by default in Docker—and provides a complete interface for document ingestion, agent orchestration, multi user access, and workflow automation without requiring external cloud dependencies. The project lives in the local AI and AI interaction ecosystem, targeting users who want full control over their data and model selection.
read the full AnythingLLM overview →
More in AI & Machine Learning
Related comparisons
More AI Interaction & Interfaces projects
Compare either of these against the rest of the AI Interaction & Interfaces field.
Frequently asked questions
Is LobeChat or AnythingLLM more popular?
LobeChat has 82,547 GitHub stars and AnythingLLM has 66,141. LobeChat has the larger community by that measure.
Are LobeChat and AnythingLLM free?
Both are open source. LobeChat has no licence declared in this registry, and AnythingLLM is licensed under MIT. Both are free to self-host.
What is the difference between LobeChat and AnythingLLM?
LobeChat is written in TypeScript and AnythingLLM in JavaScript. 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 AnythingLLM?
Choose LobeChat if you want the larger community (82,547 stars) or its Custom / other licence terms. Choose AnythingLLM if its feature set, stack or MIT licence fits better. Both are self-hostable.