agentvfs vs E2B
Hosted AI-agent code execution sandbox
E2B and agentvfs both target AI agents that run code. E2B is a hosted SaaS product — you call an SDK, get a managed sandbox VM, and pay per usage. agentvfs is an MIT-licensed local runtime — you install one binary and embed the runtime in your own process. The right choice depends on whether you want a managed service or an embeddable component.
E2B rows describe the publicly documented product shape (hosted sandboxes, Python/JS SDKs, AI-agent positioning). We intentionally do not quote E2B latency, pricing, or quota numbers because those change; rows where E2B specifics are workload-dependent are marked qualitatively. agentvfs rows come from the README, ROADMAP, and docs.
| Dimension | agentvfs | E2B | Advantage |
|---|---|---|---|
| Deployment model | Local runtime — single binary, library API | Hosted SaaS sandbox | Comparable |
| License | MIT, source on GitHub | Proprietary service (SDKs are typically open) | agentvfs |
| Where code runs | On the machine your agent runs on, inside a FUSE-mounted vault | In a managed remote sandbox | Comparable |
| Workspace persistence | Vault is a durable single file; survives restarts; backup is `cp` | Sandbox lifecycle is managed by the service | agentvfs |
| Forking per task | `avfs vault fork` — milliseconds | Spin up a new managed sandbox | agentvfs |
| Checkpoint / rollback | First-class `checkpoint save / restore` | Not the primary primitive | agentvfs |
| Policy gate before exec | PolicyEngine in-process; classify before mount | Service-side controls | Comparable |
| Cold start | No cold start — runtime is in your process | Managed VM provisioning latency (workload-dependent) | agentvfs |
| Network dependency | None for execution | Requires network to the managed sandbox | agentvfs |
| Language to drive it | Anything that can spawn a subprocess and parse JSON | Official SDKs (Python, JS, etc.) | E2B |
| Operational burden | You run it | Vendor runs it | E2B |
Pick agentvfs when
- ▸You want to embed the workspace runtime inside your own process — no network round-trip to a managed sandbox
- ▸You need an MIT-licensed component you can ship in your product without depending on a vendor
- ▸You want vault forks, checkpoints, and a changed-files report as the primary primitives
- ▸You already run your agent on hardware you control and want the boundary local to that process
Pick E2B when
- ▸You want a managed runtime — VMs provisioned, OS patched, capacity scaled by someone else
- ▸You need polished agent-framework SDKs and out-of-the-box integration with hosted LLM stacks
- ▸Your agent traffic is bursty and you would rather pay per use than operate a runtime
- ▸You want the security posture of a hosted sandbox (network egress controls, etc.) without configuring it yourself
They often compose.
It is reasonable to run agentvfs inside E2B. The proxy boundary handles the agent-aware concerns (vault, fork, checkpoint, policy, change summary); E2B handles the lower-level isolation. Pick the pair that matches your threat model.