head to head · open source
Ollama vs knowhere
Ollama has 185,702 GitHub stars, 18,873 forks, 3,957 open issues and last shipped yesterday. knowhere has 3,882 stars, 337 forks, 40 open issues and last shipped yesterday. Ollama leads on adoption by 4,684% (185,702 vs 3,882 stars). Ollama is written in Go under MIT; knowhere is written in Python under Apache-2.0. Ollama has attracted 10% as many forks as stars, knowhere 9%. 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 | knowhere | |
|---|---|---|
| GitHub stars | ★ 186K | ★ 3.9K |
| License | MIT | Apache-2.0 |
| Written in | Go | Python |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 19K | ⑂ 337 |
| 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 knowhere if
- You want the knowhere 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 knowhere 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 knowhere
Prepare unstructured data for AI Agents 🔗 Website 📄 Docs 🏠 Self Host 🖥️ Dashboard Overview Knowhere is a document parsing and retrieval system that turns complex, dirty files into persistent, navigable memory for AI agents—especially across local and offline document collections. It ingests unstructured documents and produces persistent, navigable memory: parsing, hierarchy reconstruction, multi modal structuring, and graph construction in a single pipeline. Every result stays connected to its document, section, source pages, and related assets, making the output a natural fit for Agentic RAG , vector based…
read the full knowhere overview →
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Frequently asked questions
Is Ollama or knowhere more popular?
Ollama has 185,702 GitHub stars and knowhere has 3,882. Ollama has the larger community by that measure.
Are Ollama and knowhere free?
Both are open source. Ollama is licensed under MIT and knowhere under Apache-2.0. Neither carries a licence fee.
What is the difference between Ollama and knowhere?
Ollama is written in Go and knowhere 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 knowhere?
Choose Ollama if you want the larger community (185,702 stars) or its MIT licence terms. Choose knowhere if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.