head to head · open source
AnythingLLM vs Corpus
AnythingLLM has 66,141 GitHub stars, 7,347 forks, 311 open issues and last shipped yesterday. Corpus has 13 stars, 0 forks, 25 open issues and last shipped 3 months ago. AnythingLLM leads on adoption by 508,677% (66,141 vs 13 stars). AnythingLLM is written in JavaScript under MIT; Corpus is written in Python under AGPL-3.0. AnythingLLM has attracted 11% as many forks as stars, Corpus 0%. AnythingLLM was the more recently maintained of the two, and both are self-hostable with no licence fee.
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 | Corpus | |
|---|---|---|
| GitHub stars | ★ 66K | ★ 13 |
| License | MIT | AGPL-3.0 |
| Written in | JavaScript | Python |
| Last push | 2026-09-17 | 2026-06-26 |
| Forks | ⑂ 7.3K | ⑂ 0 |
| 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 Corpus if
- You want the Corpus feature set and don't need the biggest community
- You prefer the AGPL-3.0 license terms
- Your stack matches Python
- You evaluated both and Corpus 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 Corpus
Corpus is an open source, self hosted document Q&A system that ingests PDFs and web pages, answers natural language questions with citations back to source text, and is aimed at teams and individuals who need grounded answers across a private document collection rather than across the public web.
read the full Corpus overview →
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Frequently asked questions
Is AnythingLLM or Corpus more popular?
AnythingLLM has 66,141 GitHub stars and Corpus has 13. AnythingLLM has the larger community by that measure.
Are AnythingLLM and Corpus free?
Both are open source. AnythingLLM is licensed under MIT and Corpus under AGPL-3.0. Neither carries a licence fee.
What is the difference between AnythingLLM and Corpus?
AnythingLLM is written in JavaScript and Corpus 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 Corpus?
Choose AnythingLLM if you want the larger community (66,141 stars) or its MIT licence terms. Choose Corpus if its feature set, stack or AGPL-3.0 licence fits better. Both are self-hostable.