> ## Documentation Index
> Fetch the complete documentation index at: https://agency-swarm.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Agency Swarm vs Other Frameworks

> Compare Agency Swarm with other multi-agent AI frameworks.

## 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.