by Sibyl-Research-Team · MCP Server · ★ 165
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Sibyl Research System Fully Autonomous AI Scientist · From Idea to Paper, Zero Human Intervention Multi-Agent Scientific Discovery · GPU Experiment Execution · Self-Evolving Research Pipeline Inspired by the pioneering work of The AI Scientist, FARS, and AutoResearch, Sibyl takes the vision further by building natively on Claude Code to fully leverage its agent ecosystem — skills, plugins, MCP servers, and multi-agent teams. 中文文档 Sibyl is a fully autonomous AI scientist that drives end-to-end ML research — from literature survey and hypothesis generation to GPU experiment execution and conferen
| Stars | 165 |
| Forks | 20 |
| Language | Python |
| Category | MCP Server |
| Quality Score | 32.75/100 |
| Last Updated | 2026-03-17 |
| Created | 2026-03-08 |
| Platforms | claude-code, mcp, python |
| Est. Tokens | ~1415k |
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sibyl-research-system is Fully Autonomous AI Research System with Self-Evolution, built natively on Claude Code. It is categorized as a MCP Server with 165 GitHub stars.
sibyl-research-system is primarily written in Python. It covers topics such as ai-agent, ai-for-science, ai-scientist.
You can find installation instructions and usage details in the sibyl-research-system GitHub repository at github.com/Sibyl-Research-Team/sibyl-research-system. The project has 165 stars and 20 forks, indicating an active community.
The top alternatives to sibyl-research-system on Agent Skills Hub include de-anthropocentric-research-engine, De-Anthropocentric-Research-Engine, CORAL. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.