computer vs OpenSandbox
Virtual filesystem for agents inside a Cloudflare Durable Object — SQLite-authoritative state with pluggable execution: FUSE-mounted containers, isolate shell (just-bash) or isolate JavaScript. — versus — CNCF-landscape sandbox platform for AI agents: multi-language SDKs, unified API, CLI and MCP over Docker/Kubernetes runtimes — coding agents, GUI agents, evals and RL training.
Sandboxed execution for agents: OpenSandbox provisions Docker/K8s runtimes behind a unified API; computer gets the same job done with Durable Objects and Workers isolates.
| computer | OpenSandbox | |
|---|---|---|
| Stars | 5.7k | 12k |
| Forks | 286 | 1.0k |
| Language | TypeScript | Python |
| License | MIT | Apache-2.0 |
| Last activity | 2 days ago | 3 days ago |
| Topics | agents | agents, local |
| Curated connections | 3 | 3 |
computer — the curator's take
The interesting inversion: the filesystem is the durable object and execution surfaces attach to IT — container, isolate shell and isolate JS all project the same authoritative SQLite state, so agent state survives any runtime. When NOT: PREVIEW ONLY by its own banner — APIs unstable, explicitly not for production, and the spec docs describe intent, not the code; it's also Cloudflare-shaped through and through — no Workers, no computer.
OpenSandbox — the curator's take
The platform play in agent sandboxing: one API over Docker and Kubernetes runtimes, SDKs in multiple languages, an MCP server, and OpenSSF/CNCF hygiene — built for the org that needs sandboxes as shared infrastructure across coding agents, GUI agents, eval harnesses and RL training, not a per-project tool. NOT the isolation ceiling: container runtimes trade the hard KVM boundary microVM sandboxes give you for operational familiarity — if untrusted code is the threat model, weigh a Firecracker-class runtime instead; if platform ergonomics on your existing K8s is the goal, this is the mature option.