Self-organized agent teams improve coding results as they scale

Agensh replaces central task allocation with asynchronous coordination and scales programming tasks from one to 1,024 concurrent agents.

Big Tech
Zhihao Zhan · Ting Song · Li Dong · Shaohan Huang · Jianxun Lian · Yan Xia · +1 more

Microsoft Research

Research Digest··2 min read
Zhan et al.

The authors developed Agensh, a decentralized harness without a central orchestrator.

Why this paper

From Microsoft Research · Released code · Part of Multi-Agent Coordination, now 24 papers

In one line

Scaling a self-organized multi-agent harness from 1 to 128 agents raises mean test-pass rate from 19.31% to 28.78% on hard ProgramBench tasks.

What it released

Code

What we could check

  • ✓Code link in the paper (github.com)
  • ·No weights link found
  • ·No dataset link found
  • ·No compute details found
  • ·No stated limitations found
  • ·No benchmark numbers found

Observed from the paper text and links we have. Absence here means we did not find it, not that it does not exist.

§
newspaper

Research Digest

Articles published under the Zotpaper byline are synthesized from multiple source publications by our AI editor and reviewed by our editorial process. Each story combines reporting from credible outlets to give readers a balanced, comprehensive view.