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CoAutoResearch
An open-source research system for autonomous investigation, recursive self-improvement, and human–AI collaboration. Run experiments, refine methods through evidence and feedback, and turn traceable research into paper drafts.
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2.6% fork ratio
License: Apache-2.0
Selection & positioning guide
Structured overview of delivery form, target scenarios, and licensing boundaries
Positioning & delivery
Categorized under Skills & Plugins and delivered as Agent skills, covering Agent skills, AI agents, Workflow automation workflows.
Stack & community signals
Built primarily with Python. Community scale is summarized in the metrics above; use the star history and commit activity below to judge the quality and durability of its growth.
License & maintenance check
Licensed under Apache-2.0 with status "Recently maintained". Verify dependency requirements and the upstream LICENSE before production adoption.
Star history & growth
Based on collected snapshots
No trend in this date range
Inspect recent observations
| Date | Stars |
|---|---|
| 2026-11-08 | 114 |
| 2026-11-12 | 115 |
| 2026-11-13 | 115 |
| 2026-11-14 | 115 |
| 2026-11-15 | 115 |
Project profile
Repository metadata & lifecycle signals
- License
- Apache-2.0
- Delivery form
- Agent skills
- Latest release
- 2026-09-11
- Last push
- 2026-10-27
- Created
- 2026-06-16 (5 mos)
- Fork / Star ratio
- 2.6%
Get the source & start here
Cloning downloads source; follow official setup and dependency instructions.
git clone https://github.com/YihongT/CoAutoResearch.gitAfter cloning, enter the project directory · cd CoAutoResearch
GitRank Project Score
5-dimension model · 75% input coverage
Watch
- MaintenanceRecent push & release cadence
- 27 / 30
- Delivery informationSetup docs, examples & prerequisites
- 13 / 25
- Community signalsStar scale & fork participation
- 8 / 20
- Recent growth7-day net gain & momentum
- 0 / 15
- Usage informationDescription, license & homepage
- 10 / 10
Computed automatically from repository activity, documentation structure, community signals, and recent growth.
Frequently Asked Questions about CoAutoResearch
Is YihongT/CoAutoResearch still actively maintained in 2026?+
YihongT/CoAutoResearch is currently rated "Recently maintained" with a GitRank engineering score of 58/100. Its latest recorded code push was on 2026-10-27, with the latest tagged release on 2026-09-11.
Can I use YihongT/CoAutoResearch for commercial projects?+
Yes. YihongT/CoAutoResearch uses the permissive Apache-2.0 open-source license, which generally permits commercial use, modification, private deployment, and distribution provided copyright notices are retained.
What are the best open-source alternatives to YihongT/CoAutoResearch?+
Top actively maintained open-source alternatives and comparable projects to YihongT/CoAutoResearch in Skills & Plugins include nocobase/nocobase (24,929 stars), ComposioHQ/awesome-claude-skills (79,520 stars), NVIDIA/SkillSpector (26,091 stars). Follow the internal links below to compare their architecture and licensing.
How fast is YihongT/CoAutoResearch growing on GitHub?+
Net Star change over the past 7 days: +1 Stars.