AI AGENTS
AG2
by AG2
Overview
Open-source framework for building AI agents and enabling multi-agent collaboration with LLMs, tools, human-in-the-loop workflows, and conversation patterns.
Details
AG2 is described by its official site and docs as an open-source multi-agent framework and AgentOS for building, orchestrating, and coordinating teams of AI agents with tools, workflows, and protocols. The quickstart describes it as a framework for building AI agents and enabling multi-agent collaboration with LLMs, tools, human-in-the-loop workflows, and conversation patterns. AG2 documentation also covers tools that let agents interact with external systems, fetch real-time data, execute complex tasks, and use a two-step selection-and-execution workflow.
When to Use
Build applications where multiple AI agents need to collaborate instead of relying on one assistant. Coordinate LLM-backed agents that can use tools conversation patterns and human-in-the-loop workflows. Prototype agent workflows using AG2 reference agents such as DocAgent ReasoningAgent WebSurferAgent DeepResearchAgent and WikipediaAgent.
Getting Started
- Read the AG2 quickstart guide: https://docs.ag2.ai/latest/docs/home/quickstart/
- Inspect or install the published Python package from PyPI: https://pypi.org/project/ag2/
- Review the main open-source repository: https://github.com/ag2ai/ag2
- Explore sample applications and showcases: https://github.com/ag2ai/build-with-ag2
Key Features
- •Multi-agent framework for building AI agents and enabling collaboration between them.
- •AgentOS for building
- •orchestrating
- •and coordinating teams of AI agents.
- •Support for LLMs
- •tools
- •human-in-the-loop workflows
- •and conversation patterns.
- •Tooling model for external-system interaction
- •real-time data fetching
- •complex task execution
- •and two-step tool selection/execution.
- •Reference agents including CaptainAgent
- •communication agents
- •DocAgent
- •ReasoningAgent
- •WebSurferAgent
- •DeepResearchAgent
- •and WikipediaAgent.
Capabilities
- •multi-agent collaboration
- •agent orchestration
- •tool-using agents
- •human-in-the-loop workflows
- •document and web-page RAG via DocAgent
- •web-surfing and research-oriented agent workflows
Last updated Jun 10, 2026