Sandbox

What is sandbox-bwrap-nix? sandbox-bwrap-nix is a lightweight, open-source sandboxing solution that combines Bubblewrap (bwrap) with the Nix package manager to create isolated environments for AI coding agents and experimental software. It boots in under a second, requires no daemon or root privileges, and gives you fine-grained control over what an AI agent can see, write, and execute. By mounting the Nix store as read-only and providing an isolated home directory with its own process namespace, it delivers three layers of protection against credential leaks, file system tampering, and cross-process snooping. ...

If you need local coding-agent containment, pick Docker SBX. If you need a hosted code-execution API, pick E2B. If you need long-lived stateful agent computers, pick Daytona. If you already run Docker or Kubernetes and want a runtime isolation primitive, use gVisor. These are not interchangeable products. The mistake I keep seeing is treating “sandbox” as one category. In practice, an AI coding agent running npm install, a hosted Python code interpreter, a persistent GPU workspace, and a Kubernetes pod runtime have different failure modes. Docker SBX, E2B, Daytona, and gVisor all reduce blast radius, but they sit at different layers of the stack. ...

OpenAI Agents SDK v2, released April 15, 2026, transforms the framework from a pure orchestrator into a full execution environment with configurable memory, sandboxed code execution, apply_patch filesystem tools, and support for 100+ LLMs — the most significant overhaul since the SDK replaced the experimental Swarm library in March 2025. What Is OpenAI Agents SDK v2? OpenAI Agents SDK v2 is the April 15, 2026 update to OpenAI’s open-source Python framework for building production-grade AI agents. The update — the largest since the SDK’s March 2025 launch — introduces a model-native harness that wraps the entire lifecycle of agent execution: memory management, tool access, sandbox orchestration, and filesystem operations. Unlike the v1 pure orchestrator design that left developers to wire up their own context, storage, and execution layers, v2 ships a turnkey harness that handles these concerns while remaining fully configurable. The SDK now supports over 100 non-OpenAI LLMs via the Chat Completions API, removing what had been the framework’s biggest criticism: vendor lock-in. With more than 4 million weekly users of OpenAI Codex as of 2026, the developer appetite for agentic tooling at this level is validated. The v2 harness covers five domains: configurable memory, filesystem tools (apply_patch and shell), sandbox execution across 7 providers, workspace manifests via AGENTS.md, and skills for progressive feature disclosure. ...