a2a cloud
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a2a cloud vs E2B

a2a cloud vs E2B for running and shipping AI agents

E2B is an excellent secure cloud sandbox for running AI-generated code — fast, ephemeral Firecracker microVMs behind a clean SDK. But E2B is a sandbox you call from your agent; a2a cloud is where the whole agent lives and ships. They can even be complementary.

Deploy an agentView architectureWhy not DIY?
ScopeIsolationDev loopDataSurfaceGovernance
honest take

Where E2B is genuinely strong — and where a2a cloud is different.

E2B is good at

A secure sandbox for AI-generated code

E2B nails the code-execution primitive: fast, ephemeral Firecracker microVMs and a clean SDK for spinning sandboxes up and tearing them down. When your agent needs to run a snippet — untrusted code, a generated script, a data-analysis step — safely and quickly, E2B is a genuinely great place to do it.

a2a cloud adds

The agent's whole dev + runtime platform

a2a cloud sits one layer up: it runs the agent itself as a governed service. `a2a dev` gives hot reload and a public dev URL; each agent ships with managed Postgres and Qdrant, an MCP server, an API, and a frontend — and every run executes in a libkrun microVM under scoped grants, with an Ed25519-signed receipt. Isolation is the floor here, not the feature.

side-by-side

a2a cloud vs E2B, 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
E2B
a2a cloud
Scope
A secure code-execution sandbox you call from your agent — the 'run this snippet safely' primitive.
The agent's whole dev + runtime platform — the agent itself lives and ships here as a governed service.
Isolation
Fast, ephemeral Firecracker microVMs. Strong isolation for running untrusted code.
Every run also executes in a libkrun microVM. a2a isolates too — isolation is the floor, not the product.
Dev loop
SDK to spin up and tear down sandboxes. You build and host the agent that drives them.
`a2a dev` gives hot reload plus a public dev URL for the agent itself — edit, see it live, share it.
Data
Ephemeral filesystem per sandbox. Bring your own database for anything that persists.
Managed Postgres and Qdrant per agent. Vector and relational storage provisioned, no glue.
Surface
A clean SDK for code execution. You assemble the MCP server, API, and frontend around it.
An MCP server, an API, and a frontend are generated and mounted per agent automatically.
Governance
Sandbox-level isolation. No agent-scoped grant or per-run signed receipt primitive.
Scoped grants plus an Ed25519-signed receipt for every run. No ambient production access.
how to choose

Pick the tool that matches the job.

Reach for E2B when

  • You need to run untrusted or AI-generated code snippets safely and fast.
  • You want a clean SDK for ephemeral sandboxes and already own the agent driving them.
  • Code execution is the whole job — no persistent app, DB, or governance layer needed.

Reach for a2a cloud when

  • You're shipping an agent, not calling a sandbox — and want dev URL, DB, MCP, API, and frontend included.
  • You need scoped grants and a signed, replayable receipt for every run, with libkrun isolation by default.
  • You want both: an a2a agent can call E2B for code execution while a2a governs and ships the agent itself.
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 receipt for every run. Scoped grants, no ambient production access. One deploy, the whole agent app, with proof.

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