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Microsoft Research open-sources Agensh multi-agent framework

By PulseAugur Editorial · [1 sources] ·

Microsoft Research has released Agensh, an open-source framework for multi-agent systems that deviates from traditional centralized orchestrators. In this system, individual agents autonomously select their tasks and collaborate using shared resources like a Git repository, a chat channel, and a findings board. Benchmarking on ProgramBench demonstrated improved performance, with the mean test pass rate increasing from 19.31% with a single agent to 28.78% with 128 agents, indicating that larger agent teams achieve milestones more rapidly. AI

IMPACT This decentralized approach to multi-agent systems could offer new paradigms for complex task automation and coordination.

RANK_REASON Open-source release of a novel AI framework by a major research lab. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Mastodon — mastodon.social →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Microsoft Research open-sources Agensh multi-agent framework

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Open-source release of a novel AI framework by a major research lab. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    Microsoft Research has open-sourced Agensh, a multi-agent harness that drops the central orchestrator most agent frameworks rely on. Workers pick their own sub-

    Microsoft Research has open-sourced Agensh, a multi-agent harness that drops the central orchestrator most agent frameworks rely on. Workers pick their own sub-tasks and coordinate via a shared Git repo, a chat channel and a findings board. On ProgramBench, the mean test pass rat…

    LINKS marktechpost.com/…/microsoft-agensh-multi…

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