head to head · open source
Ollama vs AnythingLLM
Ollama has 181,184 GitHub stars, 17,921 forks, 3,957 open issues and last shipped yesterday. AnythingLLM has 66,155 stars, 7,348 forks, 311 open issues and last shipped yesterday. Ollama leads on adoption by 174% (181,184 vs 66,155 stars). Ollama is written in Go under MIT; AnythingLLM is written in JavaScript under MIT. Ollama has attracted 10% as many forks as stars, AnythingLLM 11%. Ollama 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.
← all 13541 open source comparisons
Side by side
| Ollama | AnythingLLM | |
|---|---|---|
| GitHub stars | ★ 181K | ★ 66K |
| License | MIT | MIT |
| Written in | Go | JavaScript |
| Last push | 2026-09-17 | 2026-09-17 |
| Forks | ⑂ 18K | ⑂ 7.3K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Ollama if
- You weight community size — 181K stars and counting
- You want the MIT license terms
- Your stack matches Go
- 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 Ollama
Ollama is a Go based, MIT licensed runtime that downloads and runs open source large language models such as DeepSeek, Qwen, Gemma, GLM, MiniMax and gpt oss locally on a user's own machine, and it is aimed at developers and teams that want model inference without routing prompts through a hosted API.
read the full Ollama 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 Machine Learning Infrastructure projects
Compare either of these against the rest of the Machine Learning Infrastructure field.
Frequently asked questions
Is Ollama or AnythingLLM more popular?
Ollama has 181,184 GitHub stars and AnythingLLM has 66,155. Ollama has the larger community by that measure.
Are Ollama and AnythingLLM free?
Both are open source. Ollama is licensed under MIT and AnythingLLM under MIT. Neither carries a licence fee.
What is the difference between Ollama and AnythingLLM?
Ollama is written in Go 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, Ollama or AnythingLLM?
Choose Ollama if you want the larger community (181,184 stars) or its MIT licence terms. Choose AnythingLLM if its feature set, stack or MIT licence fits better. Both are self-hostable.