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BioML-Bench

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Jun 3, 2026 · Artificial Intelligence

AutoScientists Open‑Source: Harvard’s Self‑Organizing Agents Enable Long‑Term Autonomous Research

AutoScientists is a self‑organizing multi‑agent framework that automates the full scientific loop—from hypothesis generation to paper writing—demonstrating superior performance on BioML‑Bench (74.4% average rank, +8.33% over baselines) and achieving notable gains in protein‑engineering tasks such as ACE2‑Spike binding.

AutoScientistsBioML-Benchbenchmark

0 likes · 6 min read

AutoScientists Open‑Source: Harvard’s Self‑Organizing Agents Enable Long‑Term Autonomous Research

SuanNi

Jun 2, 2026 · Artificial Intelligence

Harvard’s AutoScientists Lets AI Agents Self‑Organize Research Teams and Outperform Traditional AI Agents

AutoScientists, a Harvard‑built system where nine AI agents self‑organize via a shared state without a central commander, achieves a 74.4% average rank on BioML‑Bench, runs GPT training experiments 1.9× faster, and improves ProteinGym fitness prediction by 12.5%, while ablation studies reveal the critical role of each of its four core mechanisms.

AI AgentsAI researchAutoScientists

0 likes · 12 min read

Harvard’s AutoScientists Lets AI Agents Self‑Organize Research Teams and Outperform Traditional AI Agents