Comparison Preset
Neither framework is a suitable choice for an enterprise due to significant licensing and maintenance risks. Mastra's `NOASSERTION` license makes it legally unusable for most commercial applications, as default copyright terms would apply. AutoGen has a clear CC-BY-4.0 license, but development has been inactive for over 150 days, posing a high risk for long-term support and security. The unconventional license for AutoGen also requires careful legal review regarding attribution requirements in a commercial product. Given these fundamental risks, both should be avoided.
Overview
The bottom line โ what this framework is, who it's for, and when to walk away.
Bottom Line Up Front
AutoGen is a Python framework for developing AI agents and applications, ranging from no-code prototyping to scalable multi-agent systems. It supports conversational AI, dynamic workflows, and distributed agent collaboration through its modular, event-driven architecture.
Mastra is a TypeScript framework designed for building AI agents and applications, providing a structured approach to integrating large language models and defining tools with Zod schemas. It offers a `Studio` UI and simplifies LLM access across multiple providers. The framework is suitable for a wide range of AI-driven use cases, from customer-facing assistants to DevOps automation.
Best For
Building, prototyping, and researching scalable, conversational, and distributed multi-agent AI systems.
Building AI agents and applications that integrate structured tools and large language models.
Avoid If
no data
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Strengths
- +Provides a web-based UI for prototyping agents without writing code via AutoGen Studio.
- +Offers a programming framework for building conversational single and multi-agent applications using AgentChat.
- +Features an event-driven core framework designed for scalable multi-agent AI systems.
- +Supports deterministic and dynamic agentic workflows suitable for business processes.
- +Facilitates research into multi-agent collaboration paradigms.
- +Enables distributed agents, supporting multi-language applications.
- +Highly extensible, allowing integration with external services and libraries through built-in and custom extensions.
- +TypeScript-first development, promoting type safety and developer experience with explicit schemas.
- +Structured AI agent and tool definition using `Agent` and `createTool` primitives with Zod schemas for predictable interactions.
- +Simplified LLM integration, abstracting provider specifics via a `provider/model` string format and environment variables for API keys.
- +Developer tooling includes Mastra Studio, an interactive UI for managing agents, workflows, and tools, alongside quick project creation commands.
- +Extensive framework integration with pre-built support for popular web frameworks like Next.js, React + Vite, Astro, Express, SvelteKit, and Hono.
Weaknesses
- โStrict tool definition enforcement, where plain object tool definitions silently fail, requiring `createTool()`.
- โMandates `{ "type": "module" }` in `package.json`, which may require adjustments for existing CommonJS projects.
- โRequires Zod for defining input and output schemas, introducing a specific dependency and validation paradigm.
- โDocumentation does not explicitly detail a framework-provided strategy for persistent or application-wide state management beyond per-execution context.
Project Health
Is this project alive, well-maintained, and safe to bet on long-term?
Bus Factor Score
Maintainers
Open Issues
Fit
Does it support the workflows, patterns, and capabilities your team actually needs?
State Management
AutoGen manages state through conversational contexts and event-driven interactions between agents.
The framework provides an execution context object containing request, tracing, and abort signals to tool functions, but does not detail a general strategy for application-level or persistent state.
Cost & Licensing
What does it actually cost? License type, pricing model, and hidden fees.
License
Perspective
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