head to head · open source
Skyvern vs local-deep-research
Skyvern has 23,020 GitHub stars, 2,165 forks, 234 open issues and last shipped yesterday. local-deep-research has 9,099 stars, 821 forks, 889 open issues and last shipped yesterday. Skyvern leads on adoption by 153% (23,020 vs 9,099 stars). Skyvern is written in Python under AGPL-3.0; local-deep-research is written in Python under MIT. Skyvern has attracted 9% as many forks as stars, local-deep-research 9%. local-deep-research 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
| Skyvern | local-deep-research | |
|---|---|---|
| GitHub stars | ★ 23K | ★ 9.1K |
| License | AGPL-3.0 | MIT |
| Written in | Python | Python |
| Last push | 2026-09-17 | 2026-09-17 |
| Forks | ⑂ 2.2K | ⑂ 821 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Skyvern if
- You weight community size — 23K stars and counting
- You want the AGPL-3.0 license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick local-deep-research if
- You want the local-deep-research feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and local-deep-research fits your workflow better
About Skyvern
Skyvern is an open source Python project for automating browser based workflows with LLMs and computer vision. It lives in the browser automation and AI agent ecosystem, and it provides a Playwright compatible SDK that adds AI functionality on top of Playwright. The project also includes a no code workflow builder, so technical users can work through code while non technical users can define tasks through the interface.
read the full Skyvern overview →
About local-deep-research
Local Deep Research is an MIT licensed, Python based AI research assistant that performs deep, agentic research with proper citations across any local or cloud LLM and more than ten search engines, built for researchers, developers, and privacy conscious self hosters who want both the workload and the data to stay on hardware they control.
read the full local-deep-research overview →
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Frequently asked questions
Is Skyvern or local-deep-research more popular?
Skyvern has 23,020 GitHub stars and local-deep-research has 9,099. Skyvern has the larger community by that measure.
Are Skyvern and local-deep-research free?
Both are open source. Skyvern is licensed under AGPL-3.0 and local-deep-research under MIT. Neither carries a licence fee.
What is the difference between Skyvern and local-deep-research?
Skyvern is written in Python and local-deep-research 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, Skyvern or local-deep-research?
Choose Skyvern if you want the larger community (23,020 stars) or its AGPL-3.0 licence terms. Choose local-deep-research if its feature set, stack or MIT licence fits better. Both are self-hostable.