AgentJet: A Flexible Swarm Training Framework for Agentic Reinforcement Learning

In three linesAgentJet is a distributed framework for reinforcement learning of LLM agents. Its decoupled architecture separates server nodes (GPU optimization) from client nodes (agent execution). It supports heterogeneous multi-model RL, multi-task cocktail training, fault tolerance, and live code iteration. A context tracking module with timeline merging accelerates training 1.5-10x.

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