OpenAI Agents API self-hosted sandbox limits: the managed harness, execution ownership, session overrides, data retention, and what your application still handles.
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A workspace-write policy can still leave a hidden route through host PIDs and /proc. See the fixed versions and a safe PID-namespace check.
ReadA reproducible workflow combining a portable research Skill with sandboxed execution, audit trails, and replay using two open-source SandBase projects.
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Ranked comparison of the best AI sandboxes for agent code execution in 2026. E2B, Daytona, Blaxel, and SandBase tested on features, pricing, and production readiness.
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The agent runtime layer is the production infrastructure between your framework and model. Why it decides durability, isolation, and recovery.
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What Coder is, how it provides governed cloud workspaces for developers and AI agents, and why enterprise agents need this layer.
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Real guardrails for AI agents in production: input validation, action allow-lists, sandboxing, cost ceilings, and human-in-the-loop. Patterns you can ship.
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Autonomous AI agents that run code and shell commands need isolation. Why sandboxes are non-negotiable in production, the isolation levels, and how to choose.
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A comparison of AI sandboxes for agent development in 2026: E2B, Modal, Daytona, and self-hosted options. Cold-start latency, isolation, and pricing.
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A teardown of how OpenHands, the open-source AI coding agent, plans, edits files, and runs code in a sandbox: the event-stream and action-observation loop.
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