📄 中文摘要
AgentEvolver 是一个创新的自我进化代理系统，旨在使人工智能代理能够像生物有机体一样自主进化。该系统通过三种自我进化机制——自我提问、自我导航和自我归因，使代理能够自主生成任务、积累经验并优化策略。这种方法不仅减少了对大量手动标注数据集的依赖，还提升了代理的学习能力和适应性，推动了人工智能从静态工具向动态智能实体的转变。
开源项目每日推荐（第10部分）：AgentEvolver - 自我进化的自主学习与进化代理系统
📄 English Summary
Open Source Project of the Day (Part 10): AgentEvolver - Self-Evolving Agent System for Autonomous Learning and Evolution
AgentEvolver is an innovative self-evolving agent system designed to enable AI agents to evolve autonomously like biological organisms. By employing three self-evolving mechanisms—Self-Questioning, Self-Navigating, and Self-Attributing—agents can autonomously generate tasks, accumulate experience, and optimize strategies. This approach reduces reliance on large amounts of manually annotated datasets and enhances the learning capabilities and adaptability of agents, facilitating the transition of AI from static tools to dynamic intelligent entities.