OpenAI Agents SDK: Native Sandbox Execution and Durable Runs
OpenAI's next-gen Agents SDK adds configurable memory, portable workspaces, native sandbox execution, and built-in snapshotting — making production agent deployments significantly more reliable.
OpenAI updated its Agents SDK with a major infrastructure overhaul targeting production-grade agent deployments:
💡 Agent runs are now checkpointed automatically — if a long-running task fails mid-execution, it restarts from the last snapshot rather than the beginning. No more lost work.
Native Sandbox Execution: Agents can now run code, manipulate files, and use tools inside isolated sandbox environments. Built-in support for Blaxel, Cloudflare, Daytona, E2B, Modal, Runloop, and Vercel.
Configurable Memory: Agents can store and retrieve information across sessions with standardized memory interfaces — both short-term working memory and long-term persistent storage.
Durable Runs with Snapshotting: Agent runs are now checkpointed automatically. If a long-running task fails mid-execution, it restarts from the last snapshot rather than the beginning.
OpenAI Agents SDK — distributed agent network with durable execution
Portable Workspace: Agent state, files, and tool configurations are portable across environments. A workflow built locally can run identically in production without re-wiring.
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