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ag2

by ag2ai

Open-source agent framework for composing and orchestrating multi-agent systems

Python
Updated Feb 11, 2026
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Overview

Implements an open-source agent framework for building, orchestrating, and testing multi-agent systems. Provides agent primitives, conversation routing, and task delegation patterns so developers can compose specialist agents and director-style orchestration. Includes SDKs and exchangable LLM backends for building reproducible multi-agent workflows and simulations. This approach aligns with the Hierarchical Multi-Agent Pattern to organize agents and responsibilities.

Key Benefits

As agents become more autonomous, understanding interaction patterns and failure modes across agents is essential for trust. AG2 gives teams a repeatable platform to exercise delegation, observe dialogues, and reproduce behaviours — a practical foundation for agent-to-agent evaluation and reputation experiments. Until now, teams lacked a widely adopted, open framework that balances orchestration primitives with tooling for iterative testing and development. This makes the Model Context Protocol (MCP) Pattern and the Agent-to-Agent Protocol (A2A) particularly relevant as guiding structures.

When to Use

Teams building and testing multi-agent workflows who need a flexible, production-ready framework for orchestration and simulation. For concrete workflow planning and reliable coordination, consider the Planning Pattern as a complementary approach.

Use Cases

  • Simulating agent delegations to reproduce multi-agent system failures
  • Building pipelines of specialist agents with director-style orchestration
  • Running pre-production tests and behavior-driven scenarios for agent reliability
Works With
openailangchainhuggingface
Topics
a2aag2agent-frameworkagenticagentic-aiaiai-agents-frameworkaiagentsgenaillm+6 more
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Keywords
multi-agent trustagent-frameworkagent-to-agent evaluation