AG2
AG2: A Python-first framework for developers coordinating LLM agents and tool use. Ranked #20 of 24 in Ai Agent Automation by our editors (7.5/10); pricing: Free plan; best for python developers orchestrating LLM agents.
At a glance
- Editor score7.5 / 10
- PricingFree plan
- Best forPython developers orchestrating LLM agents
- Free planYes
- Paid fromFree
- Agent builderCode-first
- Facts checked24 Sep 2026
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
Our verdict on AG2
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.
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AG2 pricing
AG2 fact sheet
| Free plan | Yes |
|---|---|
| Paid from | Free |
| Agent builder | Code-first |
| Self-hosted option | Yes |
| Model providers | Not verified |
| Workflow triggers | Not verified |
| Human approval steps | Yes |
| Execution limit | Not verified |
| Deployment | Self-hosted |
| Support | Docs, Community |
| Built for | Solo, Small business, Mid-market, Enterprise (editorial estimate) |
| Integrations | 10 integrations: OpenAI, Anthropic, Gemini, Google Vertex AI, Amazon Bedrock, Ollama … |
| Pricing | Free plan |
| Website | ag2.ai |
| Facts checked | 24 Sep 2026 |
AG2 integrations
AG2 lists 10 integrations on its own site.
- OpenAI
- Anthropic
- Gemini
- Google Vertex AI
- Amazon Bedrock
- Ollama
- DashScope
- xAI
- Z.AI
- Mistral
Alternatives to AG2
- Salesforce AgentforceA flexible agent platform with Salesforce workflow connections and usage-based pricing.9.3
- Google Vertex AI Agent BuilderA Google Cloud agent platform pairing visual design with code-first development and managed deployment.9.2
- CrewAI AMPA visual multi-agent builder with a free tier and cloud or self-hosted deployment.8.9
Also Ranked In
AG2 is ranked in 3 of our directories.
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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