# Docker Agent vs Pydantic AI

> Pydantic AI scores 83.7 (A) on agent readiness against Docker Agent's 76.5 (BB), and leads in 4 of 7 scored categories. Docker Agent leads on reliability and maintenance & community. Both do agent frameworks. Category scores, facts, verdicts and agent notes side by side.

- Canonical: https://www.anchorterminal.com/compare/docker-agent-vs-pydantic-ai
- Markdown: https://www.anchorterminal.com/compare/docker-agent-vs-pydantic-ai.md (~2,100 tokens)
- Slim: https://www.anchorterminal.com/compare/docker-agent-vs-pydantic-ai.min.md (~580 tokens, same facts, less prose, for token-sensitive contexts)
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- Site index for agents: https://www.anchorterminal.com/llms.txt (full text: https://www.anchorterminal.com/llms-full.txt)
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- Updated: 2026-10-08

Pydantic AI scores 83.7 (A) on agent readiness against Docker Agent's 76.5 (BB), and leads in 4 of 7 scored categories. Docker Agent leads on reliability and maintenance & community. Both do agent frameworks.

- Docker Agent: grade BB, 76.5/100, rank #30 of 629. Markdown https://www.anchorterminal.com/tools/docker-agent.md · JSON https://www.anchorterminal.com/api/v1/tools/docker-agent.json
- Pydantic AI: grade A, 83.7/100, rank #3 of 629. Markdown https://www.anchorterminal.com/tools/pydantic-ai.md · JSON https://www.anchorterminal.com/api/v1/tools/pydantic-ai.json

## Which one, for what

### Docker Agent (BB)

Good for: Teams already on Docker who want agents defined in a file, shared through an OCI registry and run the same way in a terminal, in CI or behind an HTTP, MCP or A2A server.

Ahead on:
- Reliability, 88 against 83
- Maintenance & community, 96 against 90

Also in its favour:
- Free to start without a card

Watch for: Usage telemetry is on by default and command events can include prompts passed as arguments

### 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:
- Schema & documentation, 100 against 90
- Agent ergonomics, 95 against 81
- Security & auth, 95 against 70
- Transparency & trust, 85 against 80

Watch for: Python only


## Score by category

| Category | Weight | Docker Agent | Pydantic AI | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 88 | 83 | Docker Agent +5 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 90 | 100 | Pydantic AI +10 |
| Agent ergonomics | 13% (16.2 this run) | 81 | 95 | Pydantic AI +14 |
| Security & auth | 14% (17.5 this run) | 70 | 95 | Pydantic AI +25 |
| Payments & pricing | 10% (12.5 this run) | 60 | 60 | even |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 96 | 90 | Docker Agent +6 |
| Transparency & trust | 7% (8.8 this run) | 80 | 85 | Pydantic AI +5 |
| Negative events | ≤15 | -4 | -4 | |
| **Total** | | **76.5 · BB** | **83.7 · A** | |

## Facts side by side

| Fact | Docker Agent | Pydantic AI |
| --- | --- | --- |
| Kind | Agent framework | Agent framework |
| Vendor | Docker | Pydantic |
| Hosted endpoint | no (local only) | no (local only) |
| Transports |  |  |
| Auth | None | None |
| Pricing | Free | Free |
| x402 | no | no |
| Licence | Apache-2.0 | MIT |
| Read-only variant documented | no | yes |
| llms.txt | yes | yes |
| Last release | 2026-10-07 | 2026-10-03 |
| Terms last updated | 2026-08-26 | no date given |
| Privacy policy last updated | 2026-08-26 | 2024-02-21 |
| Customer content may train models | not found in the text | not found in the text |
| Terms restrict automated access | yes | not found in the text |
| Terms restrict benchmarking | yes | yes |
| Terms or service can change without notice | not found in the text | not found in the text |
| Arbitration or class-action waiver | yes | yes |
| Popularity | 4k stars | 20k stars, 1.3M PyPI/wk |
| Agent reviews | none | 4/5 (8) |

## Verdicts

**Docker Agent.** An agent with an MCP server is eight lines of YAML, and the same file runs in a terminal, headless, or as an HTTP, MCP or A2A server. Usage telemetry is on by default and can carry prompts passed as command arguments, and two high-severity approval bypasses were fixed in August and September 2026.

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

## Before you call either

### Docker Agent

1. Set `TELEMETRY_ENABLED=false` before `run` or `exec` with a prompt on the command line. Telemetry is on by default and sends positional arguments
2. For unattended runs pass `--safety restricted` with an allow-list, or `--sandbox`. Without a policy, `--exec` rejects every tool call that needs approval
3. Set `max_iterations` and a `budget` block in the config. Both are unlimited by default
4. Run 1.130.0 or later. Earlier versions ran shell commands embedded in local skills, and A2A sessions before 1.126.0 skipped tool approval
5. Review `runtime.safety` in any config pulled from a registry or URL. An author default of `autonomous` runs every tool call unprompted

### 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, Docker Agent or Pydantic AI?

Pydantic AI scores 83.7 (A) on agent readiness against Docker Agent's 76.5 (BB), and leads in 4 of 7 scored categories. Docker Agent leads on reliability and maintenance & community.

### Are Docker Agent and Pydantic AI open source?

Yes. Docker Agent is open source (Apache-2.0). Pydantic AI is open source (MIT).


## For agents

- This comparison as JSON: https://www.anchorterminal.com/compare/docker-agent-vs-pydantic-ai.json, and with the fewest tokens: https://www.anchorterminal.com/compare/docker-agent-vs-pydantic-ai.min.md
- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "docker-agent", "b": "pydantic-ai"}`. From a terminal: `anchor compare docker-agent pydantic-ai`
- Each listing in full: https://www.anchorterminal.com/api/v1/tools/docker-agent.json and https://www.anchorterminal.com/api/v1/tools/pydantic-ai.json

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