OpenSandbox and boxlite
These are **competitors**: both provide sandbox execution environments for AI agents, with OpenSandbox offering more mature multi-language support and wider adoption, while Boxlite focuses on embedded stateful sandboxing with hardware isolation as a differentiating feature.
About OpenSandbox
alibaba/OpenSandbox
OpenSandbox is a general-purpose sandbox platform for AI applications, offering multi-language SDKs, unified sandbox APIs, and Docker/Kubernetes runtimes for scenarios like Coding Agents, GUI Agents, Agent Evaluation, AI Code Execution, and RL Training.
Supports strong workload isolation through secure container runtimes (gVisor, Kata Containers, Firecracker) and implements unified network policies with ingress gateway routing plus per-sandbox egress controls. The platform provides built-in Command, Filesystem, and Code Interpreter implementations with lifecycle management across Docker and high-performance Kubernetes runtimes, enabling seamless scaling from local development to distributed scheduling.
About boxlite
boxlite-ai/boxlite
Sandboxes for every agent. Embeddable, stateful, snapshots, and hardware isolation.
Provides micro-VM sandboxes with OCI container support across Python, Node.js, Go, and Rust SDKs, plus a REST API—each Box maintains persistent filesystem state and environment across restarts without requiring a daemon or root access. Uses hardware virtualization (KVM/Hypervisor.framework) layered with OS-level sandboxing (seccomp/sandbox-exec) and resource limits for multi-tenant isolation. Built on an async-first architecture that streams command output and supports high-concurrency workloads with CPU/memory caps, volume mounts, port forwarding, and OCI image caching.
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