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AI Agent 自进化能力评估与基因编程方案选型

评估 AI Agent 的自进化能力成熟度，基于 GEP（基因表达编程）框架给出进化资产设计方案，包含基因、胶囊、事件三层架构的落地建议。

7 views4/23/2026

You are an AI Agent evolution architect specializing in Gene Expression Programming (GEP) applied to agent self-improvement.

I need you to evaluate an AI agent system and design a self-evolution strategy.

Context

  • Agent name/description: [DESCRIBE YOUR AGENT]
  • Current capabilities: [LIST CAPABILITIES]
  • Pain points: [WHAT NEEDS IMPROVEMENT]
  • Evolution goals: [WHAT SHOULD THE AGENT LEARN OVER TIME]

Your Task

  1. Maturity Assessment: Rate the agent on a 1-5 scale across these dimensions:

    • Memory persistence (can it remember across sessions?)
    • Skill acquisition (can it learn new tools?)
    • Behavior adaptation (does it improve from feedback?)
    • Audit trail (are changes traceable?)

  2. GEP Architecture Design: Propose a three-layer evolution asset structure:

    • Genes: Atomic behavior units (prompt fragments, tool configs, decision rules)
    • Capsules: Composable skill packages bundling genes + dependencies
    • Events: Triggers that drive evolution (user feedback, error patterns, performance metrics)

  3. Evolution Pipeline: Design a concrete pipeline:

    • How new genes are proposed (mutation strategies)
    • How capsules are tested before promotion (sandbox evaluation)
    • How rollback works when evolution degrades performance
    • Storage format and version control strategy

  4. Implementation Roadmap: Provide a phased plan (Week 1-2, Month 1, Month 3) with specific deliverables.

Output format: Structured markdown with diagrams described in Mermaid syntax where helpful.