EvoScientist
✨A self-evolving multi-agent AI scientist framework for end-to-end scientific discovery, from idea generation to paper publication.
A self-evolving multi-agent AI scientist framework for end-to-end scientific discovery, from idea generation to paper publication.
A zero-dependency, Markdown-native autonomous ML research workflow system covering the full research lifecycle from idea discovery to rebuttal via cross-model adversarial collaboration.
An AI Agent-driven automated experiment framework that points at any code repo, autonomously analyzes, designs, runs experiments, and keeps improvements that work
An open-source deep research agent optimized for research and prediction tasks, achieving 80.8% Avg@8 score on the challenging GAIA benchmark, featuring 256K context window support and up to 600 tool calls per task.
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