Runloop gives your agents a full development environment: isolated, stateful, and fast enough to run at production scale. Every primitive is API-first, so you control the lifecycle from first boot to final snapshot.
Traditional infrastructure was not built for AI agents. Function-runners assume short, stateless requests. Shared-kernel containers assume you trust the code you're running. Agents break both: they run long, stateful sessions, spin up by the thousands, and generate their own code as they go.
composable platform [allowing teams to run fleet of agents in production]. Devboxes are e foundation every other Runloop primitive runs on[Something about fully isolated that spin up quickly
A complete agent sandbox does three things: define and provision the environment, control its state across runs, and run anything the agent needs inside it. Runloop ships each as a composable primitive, so you can use one on its own or wire them together.
Devboxes: Hardware-isolated microVMs with full system access and sub-second startup. Your agent gets a real machine to work in, with nothing it breaks reaching anything else.
Blueprints: Your devbox environment as code: a Dockerfile, system setup commands, code mounts, build args, secrets, named contexts, and network policie.
Together, they define what your agent agent's environment looks like and provision it on demand
Snapshots: Point-in-time captures of a Devbox's disk state you can branch or roll back to. Fork one saved state into many parallel runs, return to a known-good point, and skip repeated build time.
Suspend-Resume: Pause a running agent without losing its state, then resume on demand or when an event arrives. Stop paying for idle compute between steps while the agent picks up exactly where it left off.
With Snapshots and Suspend-Resume functionality, you get full lifecycle control over agent state across runs
Runtime: Full Docker and Docker-in-Docker with filesystem, process, and package-manager access, and no nested-container performance loss. Your agent runs real builds, services, and tooling exactly as it would on its own machine.
Network: Per-Devbox network policies and egress controls enforced at the infrastructure layer. The agent reaches only the domains you allow, and the limit holds even if the agent is compromised, because it's enforced below the agent, not by it.
Devboxes: Hardware-isolated microVMs with full system access and sub-second startup. Your agent gets a real machine to work in, with nothing it breaks reaching anything else.
Blueprints: Your devbox environment as code: a Dockerfile, system setup commands, code mounts, build args, secrets, named contexts, and network policie.
Together, they define what your agent agent's environment looks like and provision it on demand
Devboxes: Hardware-isolated microVMs with full system access and sub-second startup. Your agent gets a real machine to work in, with nothing it breaks reaching anything else.
Blueprints: Your devbox environment as code: a Dockerfile, system setup commands, code mounts, build args, secrets, named contexts, and network policie.
Together, they define what your agent agent's environment looks like and provision it on demand
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Run 10k+ parallel sandboxes
10GB image startup time in <2s
All with leading reliability guarantees
Automatically scale up/down sandbox CPU or Memory based on your agentic needs in realtime
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© 2025 Runloop AI, Inc.
© 2026 Runloop AI, Inc.
