a2a cloud vs LangGraph Platform for deploying AI agents
LangGraph Platform deploys agents and LangSmith traces them — and both are now framework-agnostic. The difference is what the trace is: a mutable, deletable log, versus a cryptographically signed receipt you can't.
Where LangGraph Platform is genuinely strong — and where a2a cloud is different.
Deploy and trace LangGraph agents
If you build on LangChain or LangGraph, the Platform gives you a tight deploy path and LangSmith gives you genuinely excellent tracing, evals, and prompt iteration. The graph-shaped debugging view is best-in-class for understanding what a chain did, step by step.
Signed receipts, not mutable traces — and the whole app
a2a cloud records every run as an Ed25519-signed, tamper-evident receipt rather than a log that can be deleted, with no per-run cryptographic provenance. On top of that, every agent ships with a managed Postgres database, an MCP server, an API, and a frontend — under scoped grants. You get observability you can hand to an auditor, plus the rest of the agent app, in one deploy.
a2a cloud vs LangGraph Platform, dimension by dimension.
A fair comparison. Both columns are accurate as we understand the products today — the difference is what the runtime owns by default.
Pick the tool that matches the job.
Reach for LangGraph Platform when
- You live in LangChain/LangGraph and want deep, graph-aware tracing and evals.
- Prompt iteration and dataset-driven testing are your core daily loop.
- Annotatable traces and dataset-driven evals fit your debugging workflow.
Reach for a2a cloud when
- You need a signed, tamper-evident receipt per run — not annotatable, deletable trace logs.
- You want auto Postgres + MCP + API + frontend per agent, framework-agnostic.
- Per-seat and per-trace pricing doesn't fit how your agents scale.
Trust the receipt.
a2a cloud deploys any agent — LangGraph, OpenAI Agents SDK, CrewAI, or custom — and ships it with a managed Postgres database, an MCP server, an API, a frontend, and an Ed25519-signed receipt for every run. Scoped grants, no ambient production access. One deploy, the whole agent app, with proof.