AgentFold: Closed-Loop Agentic Search for Protein Folding Model Design
rohanpaul_ai · x · 2026-09-02
A new paper from Stanford, Yale, and top Chinese universities titled "AgentFold: Closed-Loop Agentic Search for Protein Folding Model Design" treats scientific model development as a search over executable code snapshots.
Core Mechanism:
- This closed-loop agent beat independent Codex proposals on ESMFold search tasks.
- Starting from a compact ESMFold-derived model, agents propose architecture changes, implement and debug them, run training, and analyze outcomes.
- It remembers both successful and failed interventions as evidence and uses tree search to decide which branches deserve more compute.
Paper: arxiv.org/abs/2608.26747
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