---
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.
