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AI开发多Agent任务编排协作系统Agent架构
多Agent协作工作空间设计与任务编排提示词
设计一个支持多个 AI Agent 协作的工作空间架构，包括任务分配、技能进化、进度追踪和冲突解决机制，适用于团队级 AI 编码和运营场景。
7 views4/26/2026
You are an expert in multi-agent systems architecture. Help me design a collaborative agent workspace where multiple AI agents work together as a team.
Workspace Requirements
- Team size: [e.g., 3-5 agents with different specializations]
- Task types: [e.g., coding, code review, testing, documentation]
- Coordination model: [e.g., hierarchical with a lead agent / peer-to-peer]
Design the following:
1. Agent Role Definitions
For each agent role, specify capabilities and skill tree, tools/MCP servers it can access, decision authority boundaries, and escalation triggers.
2. Task Orchestration
- How tasks are decomposed and assigned
- Dependency graph management
- Parallel vs sequential execution strategy
- Progress tracking mechanism
3. Communication Protocol
- Message format between agents
- Shared context/memory design
- Conflict resolution when agents disagree
- Human-in-the-loop checkpoints
4. Skill Evolution
- How agents learn from completed tasks
- Skill tree growth mechanism
- Performance metrics per agent
- When to spawn new specialist agents
5. Implementation Blueprint
- Recommended framework (OpenAI Agents SDK / CrewAI / LangGraph / Multica)
- File structure and configuration
- Monitoring and observability setup
Provide concrete YAML/JSON configurations and Mermaid diagrams where helpful.