Welcome
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:
No Predefined Prompts
It doesnβt write prompts for you, giving you full control over agent behavior.
Automatic Error Correction
Prevents hallucinations with automatic type checking and error correction.
Uniform Communication Flows
Allows you to define communication flows in any way you want.
Detailed Comparison
Hereβs how Agency Swarm compares to 2 other most popular multi-agent frameworks.
Criteria | Agency Swarm | AutoGen | CrewAI |
---|---|---|---|
Origins π | β Originated from a real AI agency building AI agents for clients worldwide. | β Originated as a research experiment. | β Originated as a funding vehicle, rather than a real production framework. |
Design & Architecture ποΈ | β Super lightweight framework with minimal abstractions. Built on top of the OpenAI Assistants API. | β Event-driven architecture with support for both ChatCompletions and Assistants API. | β Lacks a clear architectural design. Built on top of LangChain with numerous unnecessary abstractions. |
Reliability π | β Robust type checking and validation for all tools with Pydantic. | β Type hints but no validation. | β Some validation is possible when using BaseTool, although the interface is not convenient to use. |
Flexibility π | β No predefined prompts. Uniform communication. | β Contains predefined prompts. Limited, but customizable communication flows. | β Numerous predefined prompts. Only two ways of communication. |
Scalability π | β Easily scalable. Adding another agent only requires placing it in the agency chart. | β Although itβs simple to add an agent into teams, itβs almost impossible to define custom communication between them. | β Although itβs easy to add agents into crews, itβs not possible to create custom communication between them. |
Deployability π | β Easily deployable with special callback functions. Offers open-source templates and tutorials. | β Deployment with AutoGen studio. | β Deployment via enterprise platform. No open-source deployment guides. |
Open Source Model Support π | β οΈ Limited support with Astra Assistants API. | β Moderate open-source model support. | β Full open-source model support. |
If you want to challange any of these claims, or if some of the issues disappear as frameworks mature, please open an issue on GitHub.
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.