head to head · open source
local-deep-research vs OpenProgram
local-deep-research has 9,499 GitHub stars, 903 forks, 889 open issues and last shipped yesterday. OpenProgram has 520 stars, 63 forks, 1 open issues and last shipped 2 months ago. local-deep-research leads on adoption by 1,727% (9,499 vs 520 stars). local-deep-research is written in Python under MIT; OpenProgram is written in Python under AGPL-3.0. local-deep-research has attracted 10% as many forks as stars, OpenProgram 12%. 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 | OpenProgram | |
|---|---|---|
| GitHub stars | ★ 9.5K | ★ 520 |
| License | MIT | AGPL-3.0 |
| Written in | Python | Python |
| Last push | 2026-11-04 | 2026-09-18 |
| Forks | ⑂ 903 | ⑂ 63 |
| 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 OpenProgram if
- You want the OpenProgram feature set and don't need the biggest community
- You prefer the AGPL-3.0 license terms
- Your stack matches Python
- You evaluated both and OpenProgram 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 OpenProgram
Self Programming AI Assistant. Capture, automate, and refine all your workflows. Getting Started · Install · Docs · API Reference · Philosophy · 中文 "The more constraints one imposes, the more one frees oneself." — Igor Stravinsky , Poetics of Music We propose Agentic Programming . An LLM is flexible; code is deterministic. Let the model run everything and you get chaos — unpredictable execution, context explosion, no output guarantees; hard code everything and you lose the intelligence. A harness balances the two, interleaved moment to moment — Python for the flow you want…
read the full OpenProgram overview →
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Frequently asked questions
Is local-deep-research or OpenProgram more popular?
local-deep-research has 9,499 GitHub stars and OpenProgram has 520. local-deep-research has the larger community by that measure.
Are local-deep-research and OpenProgram free?
Both are open source. local-deep-research is licensed under MIT and OpenProgram under AGPL-3.0. Neither carries a licence fee.
What is the difference between local-deep-research and OpenProgram?
local-deep-research is written in Python and OpenProgram 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 OpenProgram?
Choose local-deep-research if you want the larger community (9,499 stars) or its MIT licence terms. Choose OpenProgram if its feature set, stack or AGPL-3.0 licence fits better. Both are self-hostable.