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a2a cloud vs LangGraph Platform

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.

Deploy an agentView architectureWhy not DIY?
DeployObservabilityDatabaseMCPPricingAuthority
honest take

Where LangGraph Platform is genuinely strong — and where a2a cloud is different.

LangGraph Platform is good at

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.

a2a cloud adds

Signed receipts, not mutable traces — and the whole app

a2a cloud signs and persists receipts for authenticated Agent API calls and public `/invoke` or standard MCP `tools/call` executions. Each agent also ships with managed Postgres, MCP and API surfaces, and a frontend under scoped grants. Formal A2A message/task routes remain protocol state rather than skill executions.

side-by-side

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.

dimension
LangGraph Platform
a2a cloud
Deploy
First-class deploy + hosting for LangChain/LangGraph agents, now framework-agnostic.
Deploys any agent — LangGraph, OpenAI Agents SDK, CrewAI, or custom — one command.
Observability
Rich tracing in LangSmith: trace logs you can annotate and delete, with configurable retention.
Ed25519-signed receipts — cryptographically tied to the run, tamper-evident, not mutable logs.
Database
No auto per-agent Postgres. Bring and wire your own persistence.
A managed Postgres ships with every agent, provisioned on deploy.
MCP
No automatic per-agent MCP server.
Every agent exposes an MCP server automatically alongside its API and frontend.
Pricing
Per-seat plus per-trace pricing that grows with observability volume.
Priced on the agent app, not per trace — receipts are part of the runtime, not metered extra.
Authority
Standard app auth around traces; no agent-scoped grant primitive.
Scoped grants — audience-bound, time-limited, glob-filtered. No ambient production access.
how to choose

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 signed, tamper-evident receipts on governed skill-execution entry points.
  • You want auto Postgres + MCP + API + frontend per agent, framework-agnostic.
  • Per-seat and per-trace pricing doesn't fit how your agents scale.
don't trust the agent

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 receipts on governed execution paths. Scoped grants, no ambient production access. One deploy, the whole agent app, with proof.

Deploy from the CLIDescribe an agent insteadPlan a pilot