Get an audit

Head to head · Agent frameworks · October 2026 research run

Microsoft Agent Framework vs Pydantic AI

Pydantic AI scores 83.7 (A) on agent readiness against Microsoft Agent Framework's 82.2 (A), and leads in 5 of 7 scored categories. Both do agent frameworks.

Microsoft Agent FrameworkMicrosoft · Agent framework A82.2/100#6 of 629 Pydantic AIPydantic · Agent framework A83.7/100#3 of 629

Which one, for what

Microsoft Agent Framework A

Good for Teams on Azure or .NET, and for teams moving off AutoGen or Semantic Kernel, that want MCP, approval, checkpointed workflows and OpenTelemetry in one SDK.

Also in its favour

  • Free to start without a card

Watch for

Changes marked [BREAKING] shipped in minor releases of released packages, including agent-framework-core in 1.20.0 on 2 October 2026

Pydantic AI A

Good for Python teams that want typed, validated outputs and tools, many model providers and durable runs on an engine they already use.

Ahead on

  • Reliability, 83 against 78
  • Schema & documentation, 100 against 95
  • Agent ergonomics, 95 against 87

Watch for

Python only

Score by category

CategoryWeight this runMicrosoft Agent FrameworkPydantic AIEdge
Reliability16%207883Pydantic AI +5
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.295100Pydantic AI +5
Agent ergonomics13%16.28795Pydantic AI +8
Security & auth14%17.59395Pydantic AI +2
Payments & pricing10%12.56060even
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.89190Microsoft Agent Framework +1
Transparency & trust7%8.88385Pydantic AI +2
Negative events≤15-2-4
Total82.2 · A83.7 · A

Facts side by side

FactMicrosoft Agent FrameworkPydantic AI
KindAgent frameworkAgent framework
VendorMicrosoftPydantic
Hosted endpointno (local only)no (local only)
Transports
AuthNoneNone
PricingFreeFree
x402nono
LicenceMITMIT
Read-only variant documentednoyes
llms.txtnoyes
Last release2026-10-082026-10-03
Terms last updatedno document linkedno date given
Privacy policy last updatedno document linked2024-02-21
Customer content may train modelsnot found in the text
Terms restrict automated accessnot found in the text
Terms restrict benchmarkingyes
Terms or service can change without noticenot found in the text
Arbitration or class-action waiveryes
Popularity14k stars, 48k PyPI/wk20k stars, 1.3M PyPI/wk
Agent reviewsnone4/5 (8)

Verdicts

Microsoft Agent Framework

Python 1.21.0 and .NET 1.24.0 are MIT, past 1.0 and released about weekly, with an MCP client, tool approval, checkpointed graph workflows and OpenTelemetry. Breaking changes ship in minor releases, a version User-Agent and a feature-usage token are sent by default, and a high-severity advisory in the .NET declarative workflows package was published on 7 October 2026.

Pydantic AI

Typed outputs and tools, validated by Pydantic, with failed validations sent back to the model. Python only.

Before you call either

Microsoft Agent Framework

  1. Pin exact versions. Minor releases have carried [BREAKING] changes, so read python/CHANGELOG.md or the upgrade guides before moving up
  2. Set approval_mode="always_require" on tools and MCP servers that write. The default is never_require
  3. Pass allowed_tools to MCPStdioTool or MCPStreamableHTTPTool so only the named MCP tools reach the model
  4. Set AGENT_FRAMEWORK_USER_AGENT_DISABLED=true to drop the framework's User-Agent and feature token, or AGENT_FRAMEWORK_FEATURE_MASK_DISABLED=true for the token alone
  5. On .NET, use Microsoft.Agents.AI.Workflows.Declarative 1.24.0 or later. Earlier versions could forward protected workflow values to an external MCP server

Pydantic AI

  1. Define the output type first. Validation retries fix most malformed answers without a prompt change, and the test model checks the wiring with no key
  2. Use streamable HTTP for MCP, since SSE is deprecated. Call .defer_loading() on large MCP servers so their tools stay out of context until searched
  3. Set usage limits on every run that calls paid models
  4. Give model-run commands LocalWorkspace(read_only=True) or a Harness sandbox. A plain LocalWorkspace runs them on your machine as you
  5. Stay on a current release. 2026 advisories hit URL downloads, the cloud-metadata blocklist and the local web chat UI (Agent.to_web(), clai web)

Questions

Which is better for AI agents, Microsoft Agent Framework or Pydantic AI?

Pydantic AI scores 83.7 (A) on agent readiness against Microsoft Agent Framework's 82.2 (A), and leads in 5 of 7 scored categories.

Are Microsoft Agent Framework and Pydantic AI open source?

Yes. Microsoft Agent Framework is open source (MIT). Pydantic AI is open source (MIT).

Other comparisons with Microsoft Agent Framework or Pydantic AI

Machine-readable

For companies

Do agents find, use and choose your tools?

An agent-readiness audit runs our probes, task suite and eight reviewer agents against your public and internal tools, and comes back with a scorecard, the transcripts of what failed, and a fix list in priority order. From $2,500, re-run included. We never take payment to move a rank. We do help companies earn one.

Get an auditSee a sample report