head to head · open source
Ollama vs Compartment
Ollama has 185,702 GitHub stars, 18,873 forks, 3,957 open issues and last shipped yesterday. Compartment has 580 stars, 8 forks, 1 open issues and last shipped 14 days ago. Ollama leads on adoption by 31,918% (185,702 vs 580 stars). Ollama is written in Go under MIT; Compartment is written in Python under Apache-2.0. Ollama has attracted 10% as many forks as stars, Compartment 1%. Ollama 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
| Ollama | Compartment | |
|---|---|---|
| GitHub stars | ★ 186K | ★ 580 |
| License | MIT | Apache-2.0 |
| Written in | Go | Python |
| Last push | 2026-11-02 | 2026-10-20 |
| Forks | ⑂ 19K | ⑂ 8 |
| 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
pick Compartment if
- You want the Compartment 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 Compartment fits your workflow better
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 Compartment
Compartment Encrypted, fully offline memory for AI agents. One vault on your own computer, read and written by Claude Code, Claude Desktop, Hermes Agent, OpenClaw, Cursor, Codex and any other MCP client. No API key, no account, no network, no telemetry. One click install (after pip install compartment && compartment init ): Claude Code, Claude Desktop, Hermes Agent and OpenClaw are wired by one command instead: compartment integrate claude , hermes or openclaw . Compartment is persistent memory for AI agents, stored on your own computer. What an agent learns in one session is available in every later session, in…
read the full Compartment overview →
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Frequently asked questions
Is Ollama or Compartment more popular?
Ollama has 185,702 GitHub stars and Compartment has 580. Ollama has the larger community by that measure.
Are Ollama and Compartment free?
Both are open source. Ollama is licensed under MIT and Compartment under Apache-2.0. Neither carries a licence fee.
What is the difference between Ollama and Compartment?
Ollama is written in Go and Compartment 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, Ollama or Compartment?
Choose Ollama if you want the larger community (185,702 stars) or its MIT licence terms. Choose Compartment if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.