head to head · open source
local-deep-research vs ODS
local-deep-research has 9,109 GitHub stars, 824 forks, 889 open issues and last shipped yesterday. ODS has 6,607 stars, 943 forks, 2,618 open issues and last shipped today. local-deep-research leads on adoption by 38% (9,109 vs 6,607 stars). local-deep-research is written in Python under MIT; ODS is written in Python under Apache-2.0. local-deep-research has attracted 9% as many forks as stars, ODS 14%. ODS 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 | ODS | |
|---|---|---|
| GitHub stars | ★ 9.1K | ★ 6.6K |
| License | MIT | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-09-19 | 2026-09-20 |
| Forks | ⑂ 824 | ⑂ 943 |
| 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 ODS if
- You want the ODS feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Python
- You evaluated both and ODS 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 ODS
ODS (Osmantic Deployment System) is a Python based, Apache 2.0 licensed installer and runtime that turns a personal computer running Linux, macOS, or Windows into a private AI server. It lives in the self hosted local AI ecosystem alongside the components it wires together: Ollama, Open WebUI, n8n, ComfyUI, and a set of privacy tools. Rather than asking an operator to assemble those projects by hand, ODS installs the stack, selects a model suited to the detected hardware, starts the services, and exposes a local web interface. The repository root holds the public README, installers, security policy, and coordinat…
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Frequently asked questions
Is local-deep-research or ODS more popular?
local-deep-research has 9,109 GitHub stars and ODS has 6,607. local-deep-research has the larger community by that measure.
Are local-deep-research and ODS free?
Both are open source. local-deep-research is licensed under MIT and ODS under Apache-2.0. Neither carries a licence fee.
What is the difference between local-deep-research and ODS?
local-deep-research is written in Python and ODS 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 ODS?
Choose local-deep-research if you want the larger community (9,109 stars) or its MIT licence terms. Choose ODS if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.