AG2
AG2 (formerly AutoGen) is an open-source programming framework that enables building and orchestrating multiple AI agents to collaborate on complex tasks while supporting standardized protocols like MCP (Model Context Protocol) and A2A (Agent-to-Agent).
https://mcp.ag2.ai/?ref=producthunt
Product Information
Updated:Aug 28, 2025
What is AG2
AG2 is a community-driven framework evolved from AutoGen that focuses on streamlining the development and research of agentic AI applications. It provides a comprehensive platform for creating AI agents that can work together to solve complex problems. The framework is maintained by volunteers from various organizations and is designed to make AI agent development more accessible and efficient. AG2 supports integration with multiple AI models and provides built-in functionality for human-in-the-loop operations, making it suitable for both research and production environments.
Key Features of AG2
AG2 (formerly AutoGen) is a comprehensive multi-agent conversation framework that streamlines the development and research of agentic AI. It enables multiple AI agents to collaborate, interact with various large language models (LLMs), utilize tools, and support both autonomous and human-in-the-loop workflows. The framework integrates with multiple protocols including MCP (Model Context Protocol), A2A (Agent-to-Agent), and AG-UI for standardized communication across different scenarios.
Multi-Agent Collaboration: Enables multiple AI agents to work together seamlessly through standardized communication protocols, solving complex tasks through coordinated efforts
Protocol Integration: Supports multiple communication protocols (MCP, A2A, AG-UI) for standardized interaction between agents, tools, and human users
Tool Integration Framework: Provides extensive tool support through MCP integration, allowing agents to access and utilize various external services and APIs
Flexible Deployment Options: Offers multiple deployment options with minimal dependencies by default and additional features available through optional installations
Use Cases of AG2
Customer Support Automation: Agents can access customer history through MCP, collaborate with technical support agents via A2A, and update users in real-time through AG-UI
Enterprise Data Processing: Specialized agents can perform Retrieval-Augmented Generation (RAG) over structured and unstructured data stored in enterprise systems
API Integration Services: Transform OpenAPI specifications into production-ready MCP servers for AI agents to interact with various services and APIs
Pros
Extensive protocol support for standardized communication
Flexible and modular architecture with minimal core dependencies
Strong integration capabilities with various tools and services
Cons
Requires specific Python version constraints (>=3.10, <3.14)
Complex setup for advanced features requiring additional dependencies
How to Use AG2
Install AG2: Install AG2 using pip: pip install google-cloud-aiplatform[agent_engines,adk,langchain,ag2,llama_index]>=1.88.0
Set up project configuration: Create a project configuration file with required dependencies including ag2[mcp, openai] for A2A protocol and MCP support
Create AG2 agents: Use the AG2Agent template class to develop specialized agents. Configure the agent with appropriate LLM settings and tools through llm_config parameter
Configure MCP integration: Connect to MCP server through stdio client and register MCP tools that the agent will use. The MCP server can be created using mcp.ag2.ai or deployed manually
Set up human oversight: Configure human-in-the-loop functionality using human_input_mode parameter in UserProxyAgent class to control when human input is requested
Implement agent communication: Use the A2A protocol adapter (AG2AgentExecutor) to handle task execution and enable communication between multiple agents
Add tools and resources: Wrap MCP tools and resources into a toolkit that can be registered with AG2 agents to enable specific functionalities
Deploy and test: Start the MCP server using mcp_server/main.py and test agent interactions programmatically using the test framework
Monitor and manage: Use real-time status updates and streaming capabilities to monitor agent activities and task execution
AG2 FAQs
AG2 is a platform that helps build production-ready AI agents and enables AI-Native Organizations. It provides tools like MCP (Model Context Protocol) Builder to transform OpenAPI specifications into production-ready servers.
AG2 Video
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