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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, Pydantic Graph, Pydantic Logfire for observability, and Pydantic itself for validation. The tables below cover the whole of it.

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 executionYes5+ integrations
InterfacesPlayground, StudioCLI, web chat, AG-UI, Vercel AI, ACP (experimental)
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