Mastra vs Pydantic AI
A side-by-side comparison of capabilities, autonomy, integrations, and pricing to help you choose.
Short answer: choose Mastra if you want typescript framework for building ai agents and workflows (Supervised agent, free); choose Pydantic AI if you want type-safe python framework for building production ai agents (Supervised agent, free).
| Mastra | Pydantic AI | |
|---|---|---|
| What it is | TypeScript framework for building AI agents and workflows | Type-safe Python framework for building production AI agents |
| Type | framework | framework |
| Autonomy | Supervised agent | Supervised agent |
| Pricing | free · Free (open source; pay underlying model usage) | free · Free (open source; pay underlying model usage) |
| Best for | developers | developers |
| Deployment | self-hosted, api | self-hosted, api |
| Modalities | text, code, api | text, code, api |
| Models | model-agnostic | model-agnostic |
| Protocols | mcp, function-calling, rest-api | mcp, function-calling, rest-api |
| Integrations | OpenAI, Anthropic, Google Gemini, Node.js, MCP servers | OpenAI, Anthropic, Google Gemini, Mistral, Amazon Bedrock, Ollama |
| Capabilities | 3 documented | 3 documented |
Mastra
- +TypeScript-first, filling a gap for JS/TS teams in a Python-dominated space
- +Includes agents, workflows, memory, and observability out of the box
- +Apache-2.0 licensed and backed by the experienced Gatsby team
- -TypeScript/JavaScript only
- -A framework, not a product: you build, host, and secure your agents
Pydantic AI
- +Strong type safety and schema-validated outputs from the Pydantic team
- +Built-in reflection and self-correction on invalid output
- +Model-agnostic across most major providers; integrates with Logfire observability
- -Python-only
- -A framework, not a product: you build, host, and secure your agents
Which should you choose?
Mastra is typescript framework for building ai agents and workflows, best for developers. Pydantic AI is type-safe python framework for building production ai agents, best for developers. The right choice depends on the autonomy level you want, your existing integrations, and your budget, all compared above.