Sub-60ms sandbox allocation.
Pre-warmed pools keep isolated environments on standby. Eliminate cold-start latency for high-frequency agent loops, evaluations, and RL rollouts.
Pre-warmed PoolsInstant Standby
Open-Source Sandbox Engine
Fast, Multi-Cloud
Sandboxes for
AI Agents.
Give your AI agents a secure, isolated environment to execute code, interact with APIs, and use tools in the real world.
Deploy across any cloud.
Leverage the infrastructure your team already trusts. Use native Kubernetes features like CRDs, RBAC, and multi-cluster routing—without vendor lock-in.
Multi-CloudNo Lock-inRBAC
Built for complex, multi-turn Agentic Reinforcement Learning.
Power advanced asynchronous agent training with stateful environments, lightning-fast deterministic resets, and any-image runtimes.
Multi-Turn ReadyE2B CompatibleAny Docker Image
A unified console for sandbox operations.
Manage pre-warmed pools, runtime images, datasets, and logs from a single control plane designed specifically for AI infrastructure.
Abstract away the infrastructure
Empower AI researchers to manage dataset mounts, image versions, and reset policies visually—without operating infrastructure directly.
Training
Rollout
Rollout
Intelligent multi-cloud routing.
AI compute is often fragmented. Agent Sandbox automatically routes execution workloads to the most available clusters across different clouds and regions.
Drop-in compatibility with E2B and popular RL frameworks.
Keep the sandbox programming model your team already knows. Agent Sandbox is designed for coding agents, evaluation harnesses, and RL pipelines needing fast, repeatable environments.
SWE-Bench VerifiedHugging FaceSWE-GymHugging FaceTerminal-BenchGitHub
Custom RL environmentsBring your own tasks
Custom RL environmentsBring your own tasksThe sandbox backend your AI team can grow into.
Start with fast allocation, then seamlessly scale into multi-cloud routing, multi-turn RL frameworks, and console-grade observability.
Sub-60ms allocation
Pre-warmed pools deliver idle sandboxes instantly, unblocking high-volume agent loops and multi-turn RL rollouts.
Backed by Containers or microVMs
Run securely on your existing estate. Utilize CRDs, namespaces, RBAC, and autoscaling to manage warm capacity efficiently.
Cross-region and cross-cloud routing
Dispatch requests across clouds, clusters, and regions without forcing application teams to manage routing logic.
Zero-rebuild runtimes
Directly run any Docker image for SWE tasks, RL environments, and internal tools without the hassle of building custom VM images.
Drop-in agent SDKs
Seamless compatibility with E2B clients, SWE-ReX workflows, and popular reinforcement learning frameworks.
Console-grade visibility
Equip operators with a complete view of pools, active sessions, logs, and metrics through a unified product console.
Deploy in minutes.
Start with our Helm chart, then follow the quickstart guide to configure routing, runtime pools, and production-ready environments.
helm install agent-sandbox oci://ghcr.io/scitix/agent-sandbox-worker