Pydantic AI vs Strands Agents
Strands Agents is AWS’s open-source agent SDK for Python and TypeScript, model- and cloud-agnostic, with Amazon Bedrock as the default provider: a model-driven agent loop, a ready-made harness, multi-agent patterns, voice agents, evals, and deployment guides for AWS. Pydantic AI starts from one typed Agent on any model, with structured output validated by Pydantic, pydantic-graph for workflows, and capabilities that compose into complete agents such as Coder.
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.
| Strands Agents | Pydantic AI and Harness SDK | |
|---|---|---|
| Language | Python (also TypeScript) | Python |
| License | Apache-2.0 | MIT |
| Model providers | Many | Many |
| Extensibility | Tools, hooks, plugins | Capabilities and toolsets; 80+ with the Harness SDK |
| Harnesses | Strands harness, or build your own | Built-in Coder and Researcher, or compose your own |
| Observability | OpenTelemetry | OpenTelemetry, including Pydantic Logfire |
| Enterprise support | None documented for Strands; AWS Support for the cloud | For the framework itself, no platform required |
| Durable execution | Temporal plugin, maintained by Temporal (public preview) | Nine integrations |
| Interfaces | CLI, A2A; AG-UI via a partner package | CLI, web chat, AG-UI, Vercel AI, ACP (experimental), GitHub Agentic Workflows |
| Realtime voice | Yes | Realtime |
| Evals | Yes | Pydantic Evals |
| Image generation | No | Image Generation |
| Strands Agents | Pydantic AI and Harness SDK | |
|---|---|---|
| Multi-agent | Yes | Subagents, delegation, or pydantic-graph |
| Planning | Yes (harness) | Planning |
| Skills | Yes | Skills |
| Memory | Yes | Memory |
| Compaction | Yes | Compaction |
| Guardrails | Yes | Guardrails |
| Code sandboxes | Yes | Execution environments |
| Browser use | No; you drive Playwright | Web & research |
Can I use Pydantic AI on AWS? Yes. Run agents on Amazon Bedrock models, including Bedrock Mantle, with Bedrock embeddings, and make them durable on AWS Lambda durable functions, an integration AWS announced and documents in its Durable Execution SDK guide. LocalStack gives an agent an emulated AWS environment to work in. Can we run on our cloud? has the full list.
Can I build a coding agent on Pydantic AI? Yes. Give your agent the
Coder() capability, or assemble your own from the
same Agent; the harness repository has a
complete coding agent
built from the pieces Coder puts together.
Can I run my agents in CI? Yes. GitHub Agentic Workflows runs Pydantic AI agents
from a Markdown workflow file in GitHub Actions, or run a Python script directly with uv run;
nothing requires an Action.
Last checked: 2026-10-30