head to head · open source
local-deep-research vs coco
local-deep-research has 9,513 GitHub stars, 904 forks, 889 open issues and last shipped yesterday. coco has 628 stars, 14 forks, 61 open issues and last shipped yesterday. local-deep-research leads on adoption by 1,415% (9,513 vs 628 stars). local-deep-research is written in Python under MIT; coco is written in Python under Apache-2.0. local-deep-research has attracted 10% as many forks as stars, coco 2%. 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 | coco | |
|---|---|---|
| GitHub stars | ★ 9.5K | ★ 628 |
| License | MIT | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-11-06 | 2026-11-06 |
| Forks | ⑂ 904 | ⑂ 14 |
| 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 coco if
- You want the coco 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 coco 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 coco
Coco Super Intelligence 495 personas across 13 departments, 229 skills [^installed] and 388 commands in the full catalog (coco 1.9.0, 2026 10 21). Agent skills, slash commands and subagents for Claude Code, Cursor, Codex and other AI coding agents. One command installs them into the tool you already use. Coco's files and state stay on your machine. Your coding agent still uses its own model provider. Open core: the core is Apache 2.0, and Super Intelligence is proprietary. Relicensed from MIT to Apache 2.0 from 2026 11 05. Earlier releases remain under MIT. Files stay on your machine. No telemetry. A version…
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Frequently asked questions
Is local-deep-research or coco more popular?
local-deep-research has 9,513 GitHub stars and coco has 628. local-deep-research has the larger community by that measure.
Are local-deep-research and coco free?
Both are open source. local-deep-research is licensed under MIT and coco under Apache-2.0. Neither carries a licence fee.
What is the difference between local-deep-research and coco?
local-deep-research is written in Python and coco 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 coco?
Choose local-deep-research if you want the larger community (9,513 stars) or its MIT licence terms. Choose coco if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.