by aiming-lab · Codex Skill · ★ 11.6k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Chat an Idea. Get a Paper. Fully Autonomous. Just chat with OpenClaw: "Research X" → done. 🇨🇳 中文 · 🇯🇵 日本語 · <a h
| Stars | 11,580 |
| Forks | 1,341 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 51.166/100 |
| Last Updated | 2026-04-23 |
| Created | 2026-03-15 |
| Platforms | python |
| Est. Tokens | ~2605k |
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AutoResearchClaw is Fully autonomous & self-evolving research from idea to paper. Chat an Idea. Get a Paper. 🦞. It is categorized as a Codex Skill with 11.6k GitHub stars.
AutoResearchClaw is primarily written in Python. It covers topics such as autonomous-research, citation-verification, llm-agents.
You can find installation instructions and usage details in the AutoResearchClaw GitHub repository at github.com/aiming-lab/AutoResearchClaw. The project has 11.6k stars and 1341 forks, indicating an active community.
AutoResearchClaw is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to AutoResearchClaw on Agent Skills Hub include MemOS, awesome-openclaw-skills, graphify. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.