我们的合规检查器现已更新,支持欧盟人工智能法案的合规检查! 了解更多。

记忆回路 — 智能体自我改进

记忆回路:规划前先在记忆库检索相似经验,任务结束后再把新经验写回记忆库。

下载 .fz 文件

完整 FlowZap 代码

将以下 FlowZap 代码复制并粘贴到您的 FlowZap 账户的项目中,即可查看此模板图。

user { # User
  n1: circle label:"Start task"
  n2: rectangle label:"Submit complex task"
  n4: rectangle label:"Receive acknowledgement"
  n26: rectangle label:"Receive improved result"
  n1.handle(right) -> n2.handle(left)
  n2.handle(bottom) -> planner.n3.handle(top) [label="Task"]
}

planner { # Planner
  n3: rectangle label:"Acknowledge task"
  n5: rectangle label:"Ask for similar lessons"
  n8: rectangle label:"Receive prior lessons"
  n9: rectangle label:"Build plan"
  n10: rectangle label:"Dispatch execution"
  n13: rectangle label:"Receive execution output"
  n14: rectangle label:"Request evaluation"
  n17: rectangle label:"Receive evaluation"
  n18: diamond label:"Good enough?"
  n19: rectangle label:"Store new lesson"
  n22: rectangle label:"Confirm lesson saved"
  n23: rectangle label:"Send retry plan"
  n25: rectangle label:"Send improved result"
  n3.handle(top) -> user.n4.handle(bottom) [label="Ack"]
  n3.handle(right) -> n5.handle(left)
  n5.handle(bottom) -> memory.n6.handle(top) [label="Retrieve lessons"]
  n8.handle(right) -> n9.handle(left)
  n9.handle(right) -> n10.handle(left)
  n10.handle(bottom) -> executor.n11.handle(top) [label="Execute plan"]
  n13.handle(right) -> n14.handle(left)
  n14.handle(bottom) -> evaluator.n15.handle(top) [label="Evaluate output"]
  n17.handle(right) -> n18.handle(left)
  n18.handle(right) -> n19.handle(left) [label="Yes"]
  n18.handle(bottom) -> n23.handle(top) [label="No"]
  n19.handle(bottom) -> memory.n20.handle(top) [label="Save lesson"]
  n22.handle(right) -> n25.handle(left)
  n23.handle(bottom) -> executor.n24.handle(top) [label="Retry with lessons"]
  n25.handle(top) -> user.n26.handle(bottom) [label="Improved result"]
}

memory { # Memory Store
  n6: rectangle label:"Search memory"
  n7: rectangle label:"Return best lessons"
  n20: rectangle label:"Persist new lesson"
  n21: rectangle label:"Confirm persistence"
  n6.handle(right) -> n7.handle(left)
  n7.handle(top) -> planner.n8.handle(bottom) [label="Lessons"]
  n20.handle(right) -> n21.handle(left)
  n21.handle(top) -> planner.n22.handle(bottom) [label="Saved"]
}

executor { # Executor
  n11: rectangle label:"Run first attempt"
  n12: rectangle label:"Return output"
  n24: rectangle label:"Run improved attempt"
  n27: rectangle label:"Return improved output"
  n11.handle(right) -> n12.handle(left)
  n12.handle(top) -> planner.n13.handle(bottom) [label="Output"]
  n24.handle(right) -> n27.handle(left)
  n27.handle(top) -> evaluator.n28.handle(bottom) [label="Improved output"]
}

evaluator { # Evaluator
  n15: rectangle label:"Judge first output"
  n16: rectangle label:"Return verdict"
  n28: rectangle label:"Judge improved output"
  n29: rectangle label:"Return final verdict"
  n15.handle(right) -> n16.handle(left)
  n16.handle(top) -> planner.n17.handle(bottom) [label="Verdict"]
  n28.handle(right) -> n29.handle(left)
  n29.handle(top) -> planner.n19.handle(bottom) [label="Pass"]
}

安装 MCP 包npm install -g flowzap-mcpMCP 文档

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智能体品味评估回路

旧版执行器、LLM-as-judge 评估器与新一代消费者:评估器为完整轨迹打分,拒绝结构性粗糙的产出,只转发通过校验的载荷。

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