head to head · open source
local-deep-research vs Dograh
local-deep-research has 9,109 GitHub stars, 824 forks, 889 open issues and last shipped yesterday. Dograh has 5,696 stars, 1,424 forks, 77 open issues and last shipped yesterday. local-deep-research leads on adoption by 60% (9,109 vs 5,696 stars). local-deep-research is written in Python under MIT; Dograh is written in Python under BSD-2-Clause. local-deep-research has attracted 9% as many forks as stars, Dograh 25%. Dograh was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (local-llm), so they are genuine substitutes rather than adjacent tools.
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 | Dograh | |
|---|---|---|
| GitHub stars | ★ 9.1K | ★ 5.7K |
| License | MIT | BSD-2-Clause |
| Written in | Python | Python |
| Last push | 2026-09-19 | 2026-09-19 |
| Forks | ⑂ 824 | ⑂ 1.4K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick local-deep-research if
- You weight community size — 9.1K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick Dograh if
- You want the Dograh feature set and don't need the biggest community
- You prefer the BSD-2-Clause license terms
- Your stack matches Python
- You evaluated both and Dograh fits your workflow better
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 →
About Dograh
Dograh is a self hostable, open source voice AI platform under the BSD 2 Clause licence that lets teams build production voice agents with a visual workflow builder while keeping every line of source code, model choice, and call data on infrastructure they control.
read the full Dograh overview →
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Frequently asked questions
Is local-deep-research or Dograh more popular?
local-deep-research has 9,109 GitHub stars and Dograh has 5,696. local-deep-research has the larger community by that measure.
Are local-deep-research and Dograh free?
Both are open source. local-deep-research is licensed under MIT and Dograh under BSD-2-Clause. Neither carries a licence fee.
What is the difference between local-deep-research and Dograh?
local-deep-research is written in Python and Dograh 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 Dograh?
Choose local-deep-research if you want the larger community (9,109 stars) or its MIT licence terms. Choose Dograh if its feature set, stack or BSD-2-Clause licence fits better. Both are self-hostable.