head to head · open source
deep-searcher vs Olares
deep-searcher has 8,378 GitHub stars, 816 forks, 55 open issues and last shipped 1 months ago. Olares has 5,339 stars, 331 forks, 155 open issues and last shipped 2 days ago. deep-searcher leads on adoption by 57% (8,378 vs 5,339 stars). deep-searcher is written in Python under Apache-2.0; Olares is written in Go under AGPL-3.0. deep-searcher has attracted 10% as many forks as stars, Olares 6%. Olares 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
| deep-searcher | Olares | |
|---|---|---|
| GitHub stars | ★ 8.4K | ★ 5.3K |
| License | Apache-2.0 | AGPL-3.0 |
| Written in | Python | Go |
| Last push | 2026-09-22 | 2026-11-03 |
| Forks | ⑂ 816 | ⑂ 331 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick deep-searcher if
- You weight community size — 8.4K stars and counting
- You want the Apache-2.0 license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick Olares if
- You want the Olares feature set and don't need the biggest community
- You prefer the AGPL-3.0 license terms
- Your stack matches Go
- You evaluated both and Olares fits your workflow better
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 →
About Olares
Olares Your AI Agent. Your Data. Your Hardware. Install Olares · Manage Olares with AI · Contribute Olares is an open source personal cloud OS you operate in plain language, built to run AI agents and LLMs on hardware you own. Powered by Kubernetes, it turns your machines into a self hosted AI platform accessible from any browser, giving everyone from individual users to small teams a unified place for compute, storage, networking, and apps. 🌟 If Olares is useful to you, consider giving the project a star. Your support encourages us to keep improving it. Why Olares Great AI needs to know you. That requires…
read the full Olares overview →
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Frequently asked questions
Is deep-searcher or Olares more popular?
deep-searcher has 8,378 GitHub stars and Olares has 5,339. deep-searcher has the larger community by that measure.
Are deep-searcher and Olares free?
Both are open source. deep-searcher is licensed under Apache-2.0 and Olares under AGPL-3.0. Neither carries a licence fee.
What is the difference between deep-searcher and Olares?
deep-searcher is written in Python and Olares in Go. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, deep-searcher or Olares?
Choose deep-searcher if you want the larger community (8,378 stars) or its Apache-2.0 licence terms. Choose Olares if its feature set, stack or AGPL-3.0 licence fits better. Both are self-hostable.