head to head · open source
deep-searcher vs Olares
deep-searcher has 8,273 GitHub stars, 804 forks, 55 open issues and last shipped 10 months ago. Olares has 5,278 stars, 329 forks, 155 open issues and last shipped yesterday. deep-searcher leads on adoption by 57% (8,273 vs 5,278 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 | ★ 8.3K | ★ 5.3K |
| License | Apache-2.0 | AGPL-3.0 |
| Written in | Python | Go |
| Last push | 2025-11-19 | 2026-09-19 |
| Forks | ⑂ 804 | ⑂ 329 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick deep-searcher if
- You weight community size — 8.3K 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 is an open source deep research tool that combines large language models with vector databases to search, evaluate, and reason over private data, producing accurate answers and comprehensive reports. Written in Python and released under the Apache 2.0 license, it lives in the AI and machine learning ecosystem as a machine learning infrastructure project, built around agentic retrieval augmented generation and the Zilliz/Milvus vector search stack. The project has been on GitHub for two years, carries 8265 stars and 803 forks, and had its most recent push on 19 November 2025.
read the full deep-searcher overview →
About Olares
Olares is an open source personal cloud operating system built to run AI agents and large language models on hardware you own. It is written in Go and released under the AGPL 3.0 license, and it sits in the cloud native and self hosted corner of the machine learning infrastructure ecosystem. The project describes itself as an operating system you operate in plain language, powered by Kubernetes, turning a machine or a set of machines into a self hosted AI platform reachable from any browser.
read the full Olares overview →
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Frequently asked questions
Is deep-searcher or Olares more popular?
deep-searcher has 8,273 GitHub stars and Olares has 5,278. 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 (8,273 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.