We are open-sourcing SkyDiscover, a modular framework for AI-driven algorithm discovery.
Most prior systems (e.g., AlphaEvolve) are closed-source. Existing open implementations are monolithic and hard to extend. SkyDiscover decomposes the discovery loop into four swappable components:
- Context Builder
- Solution Generator
- Evaluator
- Selector
On top of this framework, we implemented:
- AdaEvolve — adaptive search
- EvoX — self-modifying search
Results (200+ Benchmarks)
Across math, systems, programming, and multimodal tasks:
- +34% median on 172 Frontier-CS problems (vs prior open methods)
- Matched/exceeded AlphaEvolve on several math + systems tasks
- 41% lower cross-cloud transfer cost
- 29% lower KV-cache pressure
SkyDiscover provides a clean interface for building, comparing, and extending discovery algorithms.
- 🌐 Blog: https://skydiscover-ai.github.io/blog.html
- 💻 GitHub: https://github.com/skydiscover-ai
- 📄 AdaEvolve: https://arxiv.org/abs/2602.20133
- 📄 EvoX: https://arxiv.org/abs/2602.23413
- 🐦 Twitter: https://x.com/shulynnliu/status/2028892335875276919?s=20
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