[HUGGINGFACE]score: 0.42
AgensFlow Treats Multi-Agent Coordination as an Online Policy-Learning Problem
May 25, 2026
AgensFlow is an open-source framework that makes multi-agent coordination decisions — skill protocol, role assignment, model binding, retrieval use — observable and learnable from repeated trajectories rather than fixed at design time. It frames coordination as an online policy-learning problem under partial observability.
paper
HOW THIS AFFECTS YOU
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builderYou can use AgensFlow to replace static multi-agent pipeline configurations with learned coordination policies that adapt from execution history.
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researcherThe partial-observability framing of coordination as a learnable policy is a useful abstraction for studying multi-agent LLM system design systematically.