Microsoft's Agensh Scales Multi-Agent Systems to 1,024 Agents Without a Central Orchestrator, Boosting Test-Pass Rate to 55%
andrew_n_carr · x · 2026-09-23
Microsoft Research (Furu Wei's team) released Agensh, a self-organized multi-agent harness that removes the central orchestrator bottleneck limiting today's frameworks.
Key design: concurrent workers run a cooperation loop — gathering context, self-claiming sub-tasks, acting, sharing findings, verifying, and merging progress asynchronously — backed by a shared workspace, a message interface, and shared context for reusable findings.
Benchmarks (GPT-5.6-sol high on the five hardest ProgramBench tasks):
- Scaling 1 → 128 agents raises mean test-pass rate from 19.31% to 28.78% (49% relative gain)
- On pandoc, scaling 1 → 1,024 agents lifts the pass rate from 33.89% to 55.06%
- Larger organizations reach comparable pass rates earlier
Related event: Microsoft's Agensh Scales to 1,024 Self-Organized Agents(3 posts)→
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