SOURCE-LINKED INTELLIGENCE
Agensh: Scaling Organizational Intelligence to 1,024 Agents
A multi-agent system can reduce latency on complex tasks by executing work concurrently. Several pioneering harness frameworks support multi-agent systems. However, the scalability of current multi-agent harnesses is often constrained by a central orchestrator's capacity to allocate tasks and coordinate workers. To address this limitation, we introduce Agensh, a scalable self-organized multi-agent harness without a central orchestrator: concurrent workers execute a multi-agent cooperation loop, continuously gathering context, claiming and self-assigning sub-tasks, taking action and sharing fin
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-22T17:56:25.000Z
First collected: 2026-09-23T04:11:12.117Z. This is not the publication date.