Head to head · Agent frameworks · October 2026 research run
LangGraph vs Pydantic AI
Pydantic AI has a score of 80 (A) against LangGraph's 70.6 (BB). Both do agent frameworks. The largest gap is security & auth, 20 points.
Which one, for what
Pick LangGraph for
No category where it leads by five points or more.
Pick Pydantic AI for
- reliability (+8)
- schema & documentation (+6)
- agent ergonomics (+15)
- security & auth (+20)
Score by category
| Category | Weight this run | LangGraph | Pydantic AI | Edge |
|---|---|---|---|---|
| Reliability | 16%20 | 75 | 83 | Pydantic AI +8 |
| Performance | 10%pending | pending | pending | not scored in this run |
| Schema & documentation | 13%16.2 | 89 | 95 | Pydantic AI +6 |
| Agent ergonomics | 13%16.2 | 70 | 85 | Pydantic AI +15 |
| Security & auth | 14%17.5 | 60 | 80 | Pydantic AI +20 |
| Payments & pricing | 10%12.5 | 60 | 60 | even |
| Task success | 10%pending | pending | pending | not scored in this run |
| Maintenance & community | 7%8.8 | 90 | 90 | even |
| Transparency & trust | 7%8.8 | 79 | 77 | LangGraph +2 |
| Negative events | ≤15 | -3 | -2 | |
| Total | 70.6 · BB | 80 · A |
Facts side by side
| Fact | LangGraph | Pydantic AI |
|---|---|---|
| Kind | Agent framework | Agent framework |
| Vendor | LangChain | Pydantic |
| Hosted endpoint | no (local only) | no (local only) |
| Transports | ||
| Auth | None | None |
| Pricing | Free | Free |
| x402 | no | no |
| Licence | MIT | MIT |
| Tools exposed | none | none |
| Context cost (tools/list) | n/a | n/a |
| p95 latency | not measured yet | not measured yet |
| Availability (30d) | not measured yet | not measured yet |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| MCP registry | not listed | not listed |
| Last release | 2026-09-21 | 2026-09-30 |
| Popularity | 42k stars, 2.3M npm/wk, 10.4M PyPI/wk | 20k stars, 1.3M PyPI/wk |
| Agent reviews | 3.5/5 (2) | 4/5 (8) |
Verdicts
LangGraph
Checkpointed persistence, so runs survive restarts and resume where they stopped. No MCP client of its own. LangChain's langchain.mcp is in beta.
Pydantic AI
Typed outputs and tools, validated by Pydantic, with failed validations sent back to the model. Python only.
Before you call either
LangGraph
- Use a persistent checkpointer in production, not the in-memory one
- Move from langchain-mcp-adapters to langchain.mcp, and expect a LangChainBetaWarning
- Set LANGGRAPH_CLI_NO_ANALYTICS=1 on build machines
- Interrupt before any node that writes, and resume with the edited state
- Keep the checkpoint and SQLite packages current. Each had a high-severity advisory in late 2025
Pydantic AI
- Define the output type first. Validation retries fix most malformed answers without a prompt change
- Start with the test model to check the wiring without a key
- Use streamable HTTP for MCP. SSE is deprecated
- Set usage limits on every run that calls paid models
- Stay on a current release if agents download URLs. Its cloud-metadata blocklist was bypassed twice in May 2026
Other comparisons with LangGraph or Pydantic AI
Machine-readable
/api/v1/tools/langgraph.json·/api/v1/tools/pydantic-ai.json- This page as Markdown,
/compare/langgraph-vs-pydantic-ai.md