head to head · open source
Skyvern vs local-deep-research
Skyvern has 23,336 GitHub stars, 2,233 forks, 234 open issues and last shipped yesterday. local-deep-research has 9,483 stars, 899 forks, 889 open issues and last shipped yesterday. Skyvern leads on adoption by 146% (23,336 vs 9,483 stars). Skyvern is written in Python under AGPL-3.0; local-deep-research is written in Python under MIT. Skyvern has attracted 10% 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 | ★ 9.5K |
| License | AGPL-3.0 | MIT |
| Written in | Python | Python |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 2.2K | ⑂ 899 |
| 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
🐉 Automate Browser based workflows using LLMs and Computer Vision 🐉 Skyvern automates browser based workflows using LLMs and computer vision. It provides a Playwright compatible SDK that adds AI functionality on top of playwright, as well as a no code workflow builder to help both technical and non technical users automate manual workflows on any website, replacing brittle or unreliable automation solutions. Traditional approaches to browser automations required writing custom scripts for websites, often relying on DOM parsing and XPath based interactions which would break whenever the website layouts changed…
read the full Skyvern overview →
About local-deep-research
Local Deep Research AI powered research assistant for deep, agentic research Performs deep, agentic research using multiple LLMs and search engines with proper citations 🧪 First open source project — fully local on a single RTX 3090 (Qwen3.6 27B) — to report 95% SimpleQA (n=500) and 77% xbench DeepSearch (n=100) on local hardware. See the r/LocalLLaMA announcement and the benchmark dataset. ▶️ Watch Review by The Art Of The Terminal 🚀 What is Local Deep Research? AI research assistant you control. Run locally for privacy, use any LLM and build your own searchable knowledge base. You own your data and see…
read the full local-deep-research overview →
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Frequently asked questions
Is Skyvern or local-deep-research more popular?
Skyvern has 23,336 GitHub stars and local-deep-research has 9,483. 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 (23,336 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.