head to head · open source

Ollama vs AnythingLLM

Ollama has 185,702 GitHub stars, 18,873 forks, 3,957 open issues and last shipped yesterday. AnythingLLM has 67,862 stars, 7,658 forks, 311 open issues and last shipped 4 days ago. Ollama leads on adoption by 174% (185,702 vs 67,862 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.

Ollama ★ 186K AnythingLLM ★ 68K category AI & Machine Learning

← all 20902 open source comparisons

Side by side

Ollama AnythingLLM
GitHub stars ★ 186K ★ 68K
License MIT MIT
Written in Go JavaScript
Last push 2026-11-02 2026-10-30
Forks ⑂ 19K ⑂ 7.7K
Self-hosting Yes Yes
Data ownership Your server Your server

pick Ollama if

  • You weight community size — 186K stars and counting
  • You want the MIT license terms
  • Your stack matches Go
  • You value the larger contributor base for long-term maintenance

full Ollama profile →

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

full AnythingLLM profile →

About Ollama

Ollama Start building with open models. Download macOS or download manually Windows or download manually Linux Manual install instructions Docker The official Ollama Docker image ollama/ollama is available on Docker Hub. Libraries ollama python ollama js Community Discord 𝕏 (Twitter) Reddit Get started You'll be prompted to run a model or connect Ollama to your existing agents or applications such as Claude Code , OpenClaw , OpenCode , Codex , Copilot , and more. Coding To launch a specific integration: Supported integrations include Claude Code, Codex, Copilot CLI, DeepSeek Harness, Droid, and OpenCode. AI…

read the full Ollama overview →

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 →

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 185,702 GitHub stars and AnythingLLM has 67,862. 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 (185,702 stars) or its MIT licence terms. Choose AnythingLLM if its feature set, stack or MIT licence fits better. Both are self-hostable.