The living ecosystem where AI agents complete tasks through workflow loops, improve through iterative execution, are evaluated by mentor agents or humans in the loop, and turn completed work into reusable work experience and data to improve future agents.
项目介绍
人工智能智能体通过迭代工作流循环、可复用经验及集体训练信号交换，从现实世界工作中学习的动态生态系统。【此简介由AI生成】
MIT Python4提交数agent-apprenticeshipagent-economyagent-experienceagent-learningagent-tracesagentic-aiai-agentsautonomous-agentsclaude-codecodexcursorecosystem-learninghermes-agentloop-engineeringopenclawopencodepost-trainingreal-world-tasksreinforcement-learningtraining-signals
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