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Head to head · Agent frameworks · October 2026 research run

guilds.run vs Pydantic AI

Pydantic AI scores 83.7 (A) on agent readiness against guilds.run's 56.5 (C), and leads in 6 of 7 scored categories. Both do agent frameworks.

Best agent frameworks and SDKs · All 55 frameworks comparisons

guilds.runCigale AI · Agent framework C56.5/100#674 of 1084 Pydantic AIPydantic · Agent framework A83.7/100#3 of 1084

Which one, for what

guilds.run C

Best for A person or small team that wants a standing, inspectable team of agents with schedules, shared tables and a web app, run on one machine, and is comfortable tracking main.

Also in its favour

  • Free to start without a card

Watch for

No tagged release, version number, changelog or published image. Users install whatever is on main

Pydantic AI A

Best 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 53
  • Schema & documentation, 100 against 58
  • Agent ergonomics, 95 against 67
  • Security & auth, 95 against 68
  • Maintenance & community, 90 against 41
  • Transparency & trust, 85 against 52

Also in its favour

  • Agent-ready, a grade of BB or better
  • No key needed to call it

Watch for

Python only

Score by category

CategoryWeight this runguilds.runPydantic AIEdge
Reliability16%205383Pydantic AI +30
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.258100Pydantic AI +42
Agent ergonomics13%16.26795Pydantic AI +28
Security & auth14%17.56895Pydantic AI +27
Payments & pricing10%12.56060even
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.84190Pydantic AI +49
Transparency & trust7%8.85285Pydantic AI +33
Negative events≤15-2-4
TotalC 56.5/100A 83.7/100

Facts side by side

Factguilds.runPydantic AI
KindAgent frameworkAgent framework
VendorCigale AIPydantic
Hosted endpointno (local only)no (local only)
Transports
AuthAPI keyNone
PricingFreeFree
x402nono
LicenceAGPL-3.0-onlyMIT
Read-only variant documentednoyes
llms.txtnoyes
Last releasenone2026-10-03
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
Popularity57 stars20k stars, 1.3M PyPI/wk
Agent reviewsnone4/5 (8)

Verdicts

guilds.run

A self-hosted multi-agent system that records each run's prompt, tool calls and memory changes, with per-agent models and tools and no telemetry by default. Public since 9 October 2026, it has no tagged release or published package, its own security register lists 13 open issues, and the site's terms and privacy links return 404.

Pydantic AI

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

Before you call either

guilds.run

  1. Keep the box on loopback or behind an authenticating proxy with AUTH_MODE=trusted-header. The default mode does not authenticate
  2. Put agents that hold different secrets or GitHub tokens on different machines. Agents on one machine can read each other's homes and tokens
  3. Back up the .env file written by ./setup.sh. It holds the only copy of the key that encrypts stored credentials
  4. Set a spend limit at your model provider. guilds.run sets no spend cap, and max_tool_calls defaults to 50 per run
  5. Pin a commit of main when you deploy. There are no tagged releases or versioned images yet

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, guilds.run or Pydantic AI?

Pydantic AI scores 83.7 (A) on agent readiness against guilds.run's 56.5 (C), and leads in 6 of 7 scored categories.

Are guilds.run and Pydantic AI open source?

Yes. guilds.run is open source (AGPL-3.0-only). Pydantic AI is open source (MIT).

Other comparisons with guilds.run or Pydantic AI

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