大脑与双手解耦：harness 调用 LLM 并发出工具意图，沙箱负责执行，因此新智能体只是一个 profile 而非平台。

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。

dev { # Dev - Slack
n1: circle label:"@River mention"
n2: rectangle label:"Agent request"
n12: rectangle label:"Receives response"
n1.handle(right) -> n2.handle(left)
n2.handle(bottom) -> harness.n3.handle(top) [label="Prompt"]
}

harness { # Harness - Brain
n3: rectangle label:"Loads history"
n4: rectangle label:"Calls LLM"
n5: rectangle label:"Emits tool intents"
n11: rectangle label:"Responds to dev"
n3.handle(right) -> n4.handle(left)
n4.handle(right) -> n5.handle(left)
n5.handle(bottom) -> sandbox.n6.handle(top) [label="bash, edit"]
sandbox.n10.handle(top) -> n11.handle(bottom) [label="Result"]
n11.handle(top) -> dev.n12.handle(bottom) [label="Response"]
}

sandbox { # Sandbox - Hands
n6: rectangle label:"Sets up environment"
n7: rectangle label:"Runs commands"
n8: diamond label:"OK?"
n9: rectangle label:"Raw output"
n10: rectangle label:"Returns output"
n6.handle(right) -> n7.handle(left)
n7.handle(right) -> n8.handle(left)
n8.handle(right) -> n9.handle(left) [label="Yes"]
n8.handle(bottom) -> n6.handle(top) [label="No - retry"]
n9.handle(right) -> n10.handle(left)
}

安装 MCP 包npm install -g flowzap-mcpMCP 文档

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