ai-agent-book 精选快照（<2MB 代码与文档，来自 github.com/bojieli/ai-agent-book）

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+# Multi-Agent Examples
+
+This directory contains a variety of multi-agent system examples built on the AWorld framework. 
+These examples demonstrate three core paradigms of agent **collaboration**, **coordination**, and **workflow**, 
+corresponding to **Swarm** of Handoff, Team, and Workflow respectively.
+
+## Examples of Paradigm
+
+- **collaborative/**
+  - Multi-agent collaboration scenarios.
+    - **debate/**  
+      Example of agents engaging in a debate, including affirmative, negative, and moderator agents. Demonstrates turn-based argumentation and multi-agent dialogue.
+    - **travel/**  
+      Multi-agent interaction for travel planning.  
+
+- **coordination/**
+  - Multi-agent coordination and orchestration patterns.
+    - **custom_agent/**  
+      Example for customizing agent roles and behaviors in a coordinated system.
+    - **master_worker/**  
+      Demonstrates the TeamSwarm pattern, where a lead agent (PlanAgent) coordinates with specialized agents (SearchAgent, SummaryAgent) to solve complex tasks.  
+      Includes both multi-action and single-action planning versions.  
+      See `master_worker/README.md` for detailed workflow and advantages of each approach.
+    - **deepresearch/**  
+      Advanced research scenario with a planner agent, web search agent, and reporting agent.  
+      Shows how to break down user queries, plan search strategies, and synthesize results using a TeamSwarm.
+
+- **workflow/**
+  - Workflow automation with multi-agent.
+    - **search/**  
+      Example of agents collaborating to perform search and data aggregation tasks.
+
+## Key Concepts
+
+- **Collaboration:**  
+  Agents work together to achieve a common goal, such as debating or planning a trip.
+- **Coordination:**  
+  Agents are orchestrated in a structured pattern to solve complex problems.
+- **Workflow Automation:**  
+  Agents automate multi-step processes, such as planning, searching, and summarizing information.
+
+## Usage
+
+- Each subdirectory contains its own entry point (usually `run.py`) and may include additional configuration or requirements files.
+- Before running any example, ensure you have installed all required dependencies and set the necessary environment variables (e.g., LLM provider credentials, API keys).
+- For detailed instructions, refer to the README or comments within each subdirectory.