head to head · open source
local-deep-research vs second-brain
local-deep-research has 9,499 GitHub stars, 903 forks, 889 open issues and last shipped yesterday. second-brain has 678 stars, 87 forks, 1 open issues and last shipped 1 months ago. local-deep-research leads on adoption by 1,301% (9,499 vs 678 stars). local-deep-research is written in Python under MIT; second-brain is written in Python under MIT. local-deep-research has attracted 10% as many forks as stars, second-brain 13%. 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
| local-deep-research | second-brain | |
|---|---|---|
| GitHub stars | ★ 9.5K | ★ 678 |
| License | MIT | MIT |
| Written in | Python | Python |
| Last push | 2026-11-04 | 2026-09-26 |
| Forks | ⑂ 903 | ⑂ 87 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick local-deep-research if
- You weight community size — 9.5K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick second-brain if
- You want the second-brain feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and second-brain fits your workflow better
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 →
About second-brain
Quick install Sponsor Atlas Cloud is a full modal AI inference platform that gives developers a single AI API to access video generation, image generation, and LLM APIs. Instead of managing multiple vendor integrations, you connect once and get unified access to 300+ curated models across all modalities. Check out Atlas Cloud's new coding plan promotion for more budget friendly API access: Second Brain Example For an example of what Second Brain can do, visit It's an interactive art exhibition. Head to Head Evaluation Second Brain performs higher than OpenClaw and Hermes on harness bench, which measures "model…
read the full second-brain overview →
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Frequently asked questions
Is local-deep-research or second-brain more popular?
local-deep-research has 9,499 GitHub stars and second-brain has 678. local-deep-research has the larger community by that measure.
Are local-deep-research and second-brain free?
Both are open source. local-deep-research is licensed under MIT and second-brain under MIT. Neither carries a licence fee.
What is the difference between local-deep-research and second-brain?
local-deep-research is written in Python and second-brain 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, local-deep-research or second-brain?
Choose local-deep-research if you want the larger community (9,499 stars) or its MIT licence terms. Choose second-brain if its feature set, stack or MIT licence fits better. Both are self-hostable.