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Pydantic AI vs Mastra

Mastra is a TypeScript agent framework with step workflows, memory, processors, evals, a local playground and a hosted Studio. Pydantic AI is that stack in Python, composed from capabilities rather than fixed constructs: a typed Agent, memory, guardrails, Pydantic Evals and a web chat UI.

Pydantic AI is one part of a stack: the Harness SDK for capabilities and complete agents, Pydantic Evals for evaluation, Pydantic Graph for graph-based workflows, Pydantic Logfire for observability, and Pydantic itself for validation. The tables below cover the whole of it.

Already built on Mastra? The migrating-mastra-to-pydantic-ai skill ports an existing application to Pydantic AI one working path at a time, preserving behavior rather than translating API names.

Framework

MastraPydantic AI and Harness SDK
LanguageTypeScriptPython
LicenseApache-2.0 (core); EE for some featuresMIT
Model providersManyMany
ExtensibilityTools, processors, scorers, workflowsCapabilities and toolsets; 50+ with the Harness SDK
HarnessesMastra Code, or your ownBuilt-in Coder and Researcher, or compose your own
ObservabilityOpenTelemetryOpenTelemetry, including Pydantic Logfire
Durable executionYesSeven integrations
InterfacesPlayground, Studio, GitHub PR signalsCLI, web chat, AG-UI, Vercel AI, ACP (experimental), GitHub Agentic Workflows
Realtime voiceYesRealtime
EvalsYesPydantic Evals
Image generationNoImage Generation

Features

MastraPydantic AI and Harness SDK
Multi-agentYesSubagents, delegation, or pydantic-graph
PlanningYesPlanning
SkillsYesSkills
MemoryYesMemory
CompactionToken limit: truncate or abortCompaction
GuardrailsYesGuardrails
Code sandboxesYesExecution environments
Browser useYesWeb & research