head to head · open source
AnythingLLM vs magentic
AnythingLLM has 67,940 GitHub stars, 7,660 forks, 311 open issues and last shipped yesterday. magentic has 2,428 stars, 133 forks, 50 open issues and last shipped 5 days ago. AnythingLLM leads on adoption by 2,698% (67,940 vs 2,428 stars). AnythingLLM is written in JavaScript under MIT; magentic is written in Python under MIT. AnythingLLM has attracted 11% as many forks as stars, magentic 5%. AnythingLLM 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 | magentic | |
|---|---|---|
| GitHub stars | ★ 68K | ★ 2.4K |
| License | MIT | MIT |
| Written in | JavaScript | Python |
| Last push | 2026-11-04 | 2026-10-31 |
| Forks | ⑂ 7.7K | ⑂ 133 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick AnythingLLM if
- You weight community size — 68K stars and counting
- You want the MIT license terms
- Your stack matches JavaScript
- You value the larger contributor base for long-term maintenance
pick magentic if
- You want the magentic feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and magentic fits your workflow better
About AnythingLLM
[!NOTE] We are also working on Open Computer which gives an entire computer environment for AI Agents to use. This will bring AnythingLLM's agent capabilities to a new level and a novel UX paradigm for AI Agent use. ⭐ Star the repo to stay updated! AnythingLLM: The all in one AI app you were looking for. Chat with your docs, use AI Agents, hyper configurable, multi user, & no frustrating setup required. Docs Hosted Instance English · 简体中文 · 日本語 👉 AnythingLLM for desktop (Mac, Windows, & Linux)! Download Now Chat with your docs. Automate complex workflows with AI Agents. Hyper configurable, multi user ready…
read the full AnythingLLM overview →
About magentic
magentic Seamlessly integrate Large Language Models into Python code. Use the @prompt and @chatprompt decorators to create functions that return structured output from an LLM. Combine LLM queries and tool use with traditional Python code to build complex agentic systems. Features [Structured Outputs] using pydantic models and built in python types. [Streaming] of structured outputs and function calls, to use them while being generated. [LLM Assisted Retries] to improve LLM adherence to complex output schemas. [Observability] using OpenTelemetry, with native [Pydantic Logfire integration]. [Type Annotations] to…
read the full magentic overview →
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Frequently asked questions
Is AnythingLLM or magentic more popular?
AnythingLLM has 67,940 GitHub stars and magentic has 2,428. AnythingLLM has the larger community by that measure.
Are AnythingLLM and magentic free?
Both are open source. AnythingLLM is licensed under MIT and magentic under MIT. Neither carries a licence fee.
What is the difference between AnythingLLM and magentic?
AnythingLLM is written in JavaScript and magentic 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 magentic?
Choose AnythingLLM if you want the larger community (67,940 stars) or its MIT licence terms. Choose magentic if its feature set, stack or MIT licence fits better. Both are self-hostable.