Microsoft Research has open-sourced Agensh, a new multi-agent framework designed to coordinate large numbers of AI agents without a central orchestrator. This decentralized approach allows individual agents to pick their own sub-tasks, share findings, and merge code into a common repository. Experiments showed that scaling Agensh from 1 to 1,024 agents significantly improved performance on complex coding tasks, with scores increasing and tasks being completed more rapidly as the number of agents grew. AI
IMPACT Enables more scalable and efficient coordination of large AI agent teams for complex tasks.
RANK_REASON Open-source release of a framework for coordinating multiple AI agents.
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