autogen

**Multi-Agent Frameworks** **Why Multi-Agent?** Single agents struggle with complex tasks. Multi-agent systems break problems down by having specialized agents collaborate, each with distinct roles and capabilities. **Microsoft AutoGen** **Overview** Framework for building multi-agent conversational systems with flexible agent orchestration. **Key Concepts** | Concept | Description | |---------|-------------| | ConversableAgent | Base agent that can send/receive messages | | AssistantAgent | LLM-powered agent for reasoning | | UserProxyAgent | Represents human, can execute code | | GroupChat | Manages multi-agent conversations | **Example** ```python from autogen import AssistantAgent, UserProxyAgent # Create agents assistant = AssistantAgent( name="assistant", llm_config={"model": "gpt-4o"} ) user_proxy = UserProxyAgent( name="user_proxy", code_execution_config={"work_dir": "coding"} ) # Start conversation user_proxy.initiate_chat(assistant, message="Analyze sales data") ``` **CrewAI** **Overview** Framework for orchestrating role-playing AI agents working together as a "crew" on complex tasks. **Key Components** | Component | Description | |-----------|-------------| | Agent | Entity with role, goal, backstory | | Task | Specific work item for an agent | | Crew | Group of agents + their tasks | | Tools | Capabilities agents can use | **Example** ```python from crewai import Agent, Task, Crew researcher = Agent( role="Research Analyst", goal="Find accurate information", backstory="Expert researcher with attention to detail" ) writer = Agent( role="Content Writer", goal="Create engaging content", backstory="Experienced writer" ) research_task = Task(description="Research AI trends", agent=researcher) writing_task = Task(description="Write article based on research", agent=writer) crew = Crew(agents=[researcher, writer], tasks=[research_task, writing_task]) result = crew.kickoff() ``` **Comparison** | Feature | AutoGen | CrewAI | |---------|---------|--------| | Agent style | Conversational | Role-playing | | Orchestration | Flexible | Sequential/hierarchical | | Code execution | Built-in | Via tools | | Use case | General | Creative workflows | **Multi-Agent Patterns** - **Hierarchical**: Manager delegates to workers - **Sequential**: Agents work in order - **Collaborative**: Agents discuss and iterate - **Competitive**: Agents propose, vote on solutions

Go deeper with CFSGPT

Get AI-powered deep-dives, save terms, and run advanced simulations — free account.

Create Free Account