head to head · open source
Ollama vs deep-searcher
Ollama has 185,702 GitHub stars, 18,873 forks, 3,957 open issues and last shipped yesterday. deep-searcher has 8,366 stars, 815 forks, 55 open issues and last shipped 1 months ago. Ollama leads on adoption by 2,120% (185,702 vs 8,366 stars). Ollama is written in Go under MIT; deep-searcher is written in Python under Apache-2.0. Ollama has attracted 10% as many forks as stars, deep-searcher 10%. Ollama was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (deepseek, 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.
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Side by side
| Ollama | deep-searcher | |
|---|---|---|
| GitHub stars | ★ 186K | ★ 8.4K |
| License | MIT | Apache-2.0 |
| Written in | Go | Python |
| Last push | 2026-11-02 | 2026-09-22 |
| Forks | ⑂ 19K | ⑂ 815 |
| 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 deep-searcher if
- You want the deep-searcher 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 deep-searcher 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 deep-searcher
DeepSearcher combines cutting edge LLMs (OpenAI o3, Qwen3, DeepSeek, Grok 4, Claude 4 Sonnet, Llama 4, QwQ, etc.) and Vector Databases (Milvus, Zilliz Cloud etc.) to perform search, evaluation, and reasoning based on private data, providing highly accurate answer and comprehensive report. This project is suitable for enterprise knowledge management, intelligent Q&A systems, and information retrieval scenarios. 🚀 Features Private Data Search : Maximizes the utilization of enterprise internal data while ensuring data security. When necessary, it can integrate online content for more accurate answers. Vector…
read the full deep-searcher overview →
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Frequently asked questions
Is Ollama or deep-searcher more popular?
Ollama has 185,702 GitHub stars and deep-searcher has 8,366. Ollama has the larger community by that measure.
Are Ollama and deep-searcher free?
Both are open source. Ollama is licensed under MIT and deep-searcher under Apache-2.0. Neither carries a licence fee.
What is the difference between Ollama and deep-searcher?
Ollama is written in Go and deep-searcher 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 deep-searcher?
Choose Ollama if you want the larger community (185,702 stars) or its MIT licence terms. Choose deep-searcher if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.