agent-orchestration
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Chinese🤖 Multi-Agent Orchestration & State Management
🤖 多Agent编排与状态管理
Source: Microsoft AutoGen / LangGraph / Semantic Kernel
This skill provides the Agent with the logic to manage complex, stateful workflows involving multiple AI "specialists" or autonomous task loops.
来源:Microsoft AutoGen / LangGraph / Semantic Kernel
本技能为Agent提供管理复杂、有状态工作流的逻辑,这些工作流涉及多个AI“专家”或自主任务循环。
🕸️ 1. Stateful Graph Logic (LangGraph Inspired)
🕸️ 1. 有状态图逻辑(受LangGraph启发)
- Node-Based Thinking: View complex tasks as a "Graph" of nodes (Steps).
- Conditional Edges: Logic for "If step A fails, go to step B; if success, go to step C".
- Short-term vs. Long-term Memory: Maintain state across multiple turns without losing context of the "Global Goal".
- 基于节点的思维:将复杂任务视为由节点(步骤)组成的“图”。
- 条件边:实现“如果步骤A失败,则转到步骤B;如果成功,则转到步骤C”的逻辑。
- 短期与长期记忆:在多轮交互中维持状态,不会丢失“全局目标”的上下文。
👥 2. Multi-Agent Delegation (AutoGen Inspired)
👥 2. 多Agent委派(受AutoGen启发)
Assign roles dynamically when the task is large:
- Planner: Outlines the sequence.
- Coder: Implements the logic.
- Reviewer: Audits for bugs/security.
- Executioner: Validates the final output.
当任务规模较大时动态分配角色:
- 规划者:规划任务序列。
- 编码者:实现逻辑。
- 审核者:检查漏洞/安全问题。
- 执行者:验证最终输出。
🏗️ 3. Semantic Orchestration
🏗️ 3. 语义编排
- Plugin/Tool Selection: Dynamically choose the best tool (Search, File Read, Command Run) based on "Intent Detection".
- Ambiguity Detection: If an instruction has multiple interpretations, the Agent must PAUSE and clarify before a "branching event" in the graph.
- 插件/工具选择:基于“意图检测”动态选择最佳工具(搜索、文件读取、命令运行)。
- 歧义检测:如果指令存在多种解释,Agent必须在图中出现“分支事件”前暂停并澄清。
🔄 4. Task Loops & Self-Correction
🔄 4. 任务循环与自我修正
- Reflexion Pattern: After a step, evaluate: "Did this achieve the subgoal?" If no, retry with a different approach.
- Recursive Scans: Constantly scan the workspace for relevant file changes that might affect the current task.
Created by Antigravity Orchestrator - Based on Autonomous Agent Architectures.
- 反思模式:完成一个步骤后,评估“这是否达成了子目标?”如果没有,则换一种方法重试。
- 递归扫描:持续扫描工作区,查看可能影响当前任务的相关文件变更。
由Antigravity Orchestrator创建 - 基于自主Agent架构。