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- title: "Agency Swarm vs Other Frameworks"
- description: "Compare Agency Swarm with other multi-agent AI frameworks."
- icon: "scale-unbalanced"
- ---
- ## Summary
- In summary, Agency Swarm is the only framework that has:
- <CardGroup cols={3}>
- <Card title="No Predefined Prompts" icon="message-code">
- It doesn't write prompts for you, giving you full control over agent behavior.
- </Card>
- <Card title="Automatic Error Correction" icon="shield-check">
- Prevents hallucinations with automatic type checking and error correction.
- </Card>
- <Card title="Uniform Communication Flows" icon="diagram-project">
- Allows you to define communication flows in any way you want.
- </Card>
- </CardGroup>
- ## Detailed Comparison
- Here's how Agency Swarm compares to 2 other most popular multi-agent frameworks.
- | **Criteria** | **Agency Swarm** | **AutoGen** | **CrewAI** |
- | ---------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------------------------------------------------------------------------- |
- | **Origins** | ✅ Originated from a real AI agency building AI agents for clients worldwide. | ✅ Originated as a research experiment. | ❌ Originated as a funding vehicle, rather than a real production framework. |
- | **Design & Architecture** | ✅ Super lightweight framework with minimal abstractions. Built on top of the OpenAI Assistants and Responses API. | ✅ Event-driven architecture with support for both ChatCompletions, Assistants and Responses API. | ❌ Lacks a clear architectural design. Built on top of LangChain with numerous unnecessary abstractions. |
- | **Reliability** | ✅ Robust type checking and validation for all tools with Pydantic. Input and output validation with agent's [guardrails system](/additional-features/guardrails/overview) | ❌ Type hints but no validation. | ❌ Some validation is possible when using BaseTool, although the interface is not convenient to use. |
- | **Flexibility** | ✅ No predefined prompts. Uniform communication. | ✅ Contains overridable predefined prompts. Customizable communication via GroupChat (model/custom speaker selection). | ❌ Numerous predefined prompts. Flows add conditional routing; customization remains limited. |
- | **Scalability** | ✅ Easily scalable. Adding another agent only requires passing it to the Agency class. | ⚠️ Simple to add agents; complex graphs need custom orchestration. | ⚠️ Easy to add agents; Flows enable conditional orchestration, but customization is limited. |
- | **Deployability** | ✅ Easily deployable with special [callback functions](/additional-features/deployment-to-production). Offers open-source templates and tutorials. | ⚠️ Studio for build/debug; production requires self-hosted SDK deployment. | ❌ Deployment via enterprise platform. No open-source deployment guides. |
- | **Open Source Model Support** | ✅ Supports over a dozen models through [LiteLLM SDK](https://docs.litellm.ai/docs). | ✅ Moderate open-source model support. | ✅ Full open-source model support. |
- <Note>
- If you want to challenge any of these claims, or if some of the issues disappear as frameworks mature, please open an issue on [GitHub](https://github.com/VRSEN/agency-swarm).
- </Note>
- ## Summary
- - **Agency Swarm** - best for **real business-oriented use cases**.
- - **AutoGen** - best for **research, experimentation and novel AI applications**.
- - **CrewAI** - best for **local development and playgrounds** with open-source models.
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