ag2: an open-source AgentOS for building and orchestrating multi-agent AI systems

What it solves

AG2 provides a programming framework to simplify the creation of AI agents and the orchestration of multiple agents working together to solve complex tasks. It addresses the difficulty of managing multi-agent cooperation, tool integration, and human-in-the-loop workflows in agentic AI development.

How it works

AG2 operates as an "AgentOS" using several core concepts:

• Conversable Agents: The basic building block that can send and receive messages and generate replies using LLMs, tools, or human input.
• Orchestration Patterns: Built-in patterns like swarms, group chats, nested chats, and sequential chats that define how agents interact.
• Human-in-the-Loop: Integration of UserProxyAgent to allow humans to validate or guide AI outputs.
• Tool Integration: A system to register and execute external functions, APIs, or data sources that agents can invoke to extend their capabilities.

Who it’s for

It is designed for developers and researchers building agentic AI applications who need a structured way to manage multi-agent collaboration and complex workflows.

Highlights

• Multi-Agent Cooperation: Supports diverse conversation patterns for specialized agents to collaborate.
• Flexible LLM Support: Facilitates the use of various large language models.
• Human Integration: Built-in support for human oversight and validation.
• Extensible Tooling: Easy registration and execution of external programs as agent tools.
• Advanced Features: Includes support for RAG, structured outputs, and code execution.