head to head · open source
AnythingLLM vs agentscope
AnythingLLM has 66,141 GitHub stars, 7,347 forks, 311 open issues and last shipped yesterday. agentscope has 31,878 stars, 3,514 forks, 369 open issues and last shipped yesterday. AnythingLLM leads on adoption by 107% (66,141 vs 31,878 stars). AnythingLLM is written in JavaScript under MIT; agentscope is written in Python under Apache-2.0. AnythingLLM has attracted 11% as many forks as stars, agentscope 11%. agentscope was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (llm), 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
| AnythingLLM | agentscope | |
|---|---|---|
| GitHub stars | ★ 66K | ★ 32K |
| License | MIT | Apache-2.0 |
| Written in | JavaScript | Python |
| Last push | 2026-09-17 | 2026-09-17 |
| Forks | ⑂ 7.3K | ⑂ 3.5K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick AnythingLLM if
- You weight community size — 66K stars and counting
- You want the MIT license terms
- Your stack matches JavaScript
- You value the larger contributor base for long-term maintenance
pick agentscope if
- You want the agentscope feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Python
- You evaluated both and agentscope fits your workflow better
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 →
About agentscope
AgentScope 2.0 is a production ready agent framework written in Python and released under the Apache 2.0 licence. It provides a set of essential abstractions for building agents, and it is designed explicitly for increasingly agentic large language models. Rather than wrapping models in strict prompts and opinionated orchestrations, the framework leans on the reasoning and tool use abilities the models already have, so the agent logic follows rising model capability instead of fighting it. The project lives in the Python AI and machine learning ecosystem, with a documented homepage at docs.agentscope.io and a rep…
read the full agentscope overview →
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Frequently asked questions
Is AnythingLLM or agentscope more popular?
AnythingLLM has 66,141 GitHub stars and agentscope has 31,878. AnythingLLM has the larger community by that measure.
Are AnythingLLM and agentscope free?
Both are open source. AnythingLLM is licensed under MIT and agentscope under Apache-2.0. Neither carries a licence fee.
What is the difference between AnythingLLM and agentscope?
AnythingLLM is written in JavaScript and agentscope in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, AnythingLLM or agentscope?
Choose AnythingLLM if you want the larger community (66,141 stars) or its MIT licence terms. Choose agentscope if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.