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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; 90+ with the Harness SDK
HarnessesMastra Code, or your ownBuilt-in Coder and Researcher, or compose your own
ObservabilityOpenTelemetryOpenTelemetry, including Pydantic Logfire
Enterprise supportWith Mastra Platform EnterpriseFor the framework itself, no platform required
Durable executionYesNine 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

Last checked: 2026-09-24

Sources