a2a cloud vs Cloudflare Agents for deploying AI agents
Cloudflare Agents, Workers, and Durable Objects run stateful logic at the edge. a2a cloud targets a different shape: long-running agent services with per-agent Postgres and control-plane-signed evidence across its execution entry points.
Where Cloudflare Agents is genuinely strong — and where a2a cloud is different.
Stateful compute at the edge
Cloudflare's Workers runtime is remarkable: V8 isolates that cold-start in milliseconds, Durable Objects for coordinated per-entity state, and a global network that puts your code next to every user. For latency-critical, stateful edge workloads, it's genuinely best-in-class.
Long-running agents with real Postgres and proof
a2a cloud runs agent services with managed Postgres, MCP, an OpenAPI gateway, a frontend, and auth. Signed grants scope grant-backed operations. The runtime signs Agent API calls; the gateway signs public /invoke and MCP tools/call.
a2a cloud vs Cloudflare Agents, 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 Cloudflare Agents when
- Your workload is latency-critical and lives at the edge.
- Durable Objects' per-entity state model fits your problem.
- Short, bounded request-time compute is enough for your logic.
Reach for a2a cloud when
- Your agents run long, tool-heavy turns that outgrow edge CPU limits.
- You need a real per-agent Postgres, not edge-native storage.
- You need scoped grants and signed receipts for governance and proof.
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.