head to head · open source
local-deep-research vs ODS
local-deep-research has 9,499 GitHub stars, 903 forks, 889 open issues and last shipped yesterday. ODS has 7,753 stars, 1,102 forks, 2,618 open issues and last shipped yesterday. local-deep-research leads on adoption by 23% (9,499 vs 7,753 stars). local-deep-research is written in Python under MIT; ODS is written in Python under Apache-2.0. local-deep-research has attracted 10% as many forks as stars, ODS 14%. 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 | ODS | |
|---|---|---|
| GitHub stars | ★ 9.5K | ★ 7.8K |
| License | MIT | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-11-04 | 2026-11-04 |
| Forks | ⑂ 903 | ⑂ 1.1K |
| 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 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 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 ODS
ODS Osmantic Deployment System Turn your PC, Mac, or Linux box into a private AI server. AI server and homelab setup is rapidly becoming a solved problem. It should feel that way for everyone. ODS installs and wires together everything you need to run AI locally, so you do not have to assemble Ollama, Open WebUI, n8n, ComfyUI, and privacy tools by hand: Local model inference — run open models on your own hardware ChatGPT style web UI — talk to your models from any browser Control dashboard — manage models, services, setup, GPU status, and extensions from one place Voice, agents, and workflows — build automations…
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Frequently asked questions
Is local-deep-research or ODS more popular?
local-deep-research has 9,499 GitHub stars and ODS has 7,753. 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 (9,499 stars) or its MIT licence terms. Choose ODS if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.