AG2 review
A Python-first framework for developers coordinating LLM agents and tool use.
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
AG2 is an open-source, Python-based framework for building AI agents and coordinating multi-agent systems. It is aimed at developers who want to define agents and tools in code, then compose workflows that delegate subtasks. This makes it a fit for Python developers orchestrating LLM agents, rather than teams seeking a visual builder as their primary way to create agents.
Provider choice is a notable part of the framework’s scope: its documentation covers OpenAI, Anthropic, Gemini, Google Vertex AI, Amazon Bedrock, Ollama, DashScope, xAI, Z.AI, and Mistral, as well as self-hosted and OpenAI-compatible models. Developers can implement tools as Python functions using a decorator, and AG2 supports asynchronous agent interactions. The framework also streams agent messages, actions, and tool-call events, with AG-UI available to connect agent output and tool events to frontend applications. That combination suits teams building agentic applications with their own code and interface; it is less suited to buyers looking for an out-of-the-box visual workflow environment.
AG2 is free and open source, with self-hosted deployment. Human-in-the-loop controls let teams require approval before selected tools execute, useful when tool actions need a review gate. Its documentation describes orchestration and application interfaces, while docs and community are the listed support channels. Self-hosting and code-first setup mean the team is responsible for putting the framework into its deployment context; buyers who prefer a managed deployment or visual builder should consider a different kind of product. Choose AG2 when Python control, provider options, delegation, and approval gates matter more than turnkey operation.
AG2 pros and cons
- Where it wins
- Delegate subtasks across agents in multi-agent workflows
- Define tools as Python functions with a decorator
- Stream events and require approval before selected tools run
- Where it doesn't
- Code-first configuration is less suited to visual agent building
- Self-hosted deployment puts deployment work on the team
- Docs and community are the listed support channels
AG2 fact sheet, pricing and score →
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