MLEvolve
Self-evolving multi-agent system for automated ML algorithm discovery and optimization
About
MLEvolve is an academic research framework that uses LLM-powered agents to automatically discover and optimize machine learning algorithms through iterative self-improvement. Unlike traditional AutoML tools, it employs multi-agent collaboration where agents evolve algorithmic solutions over time, making it suitable for researchers exploring automated algorithm design. Published as an arXiv paper, it represents cutting-edge work in autonomous ML research rather than a production-ready tool.
Details
| Type | coding-agent |
| Deployment | self-hosted |
| Supported Models |
Tags
Quick Info
- Organization
- Academic Research
- Pricing
- open-source
- Free Tier
- Yes
- Updated
- Jun 6, 2026
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