Episode Details

Google just launched Agent Executor, an open-source framework designed to run long-running AI agents—think hours or days—without losing progress. Even if power cuts in or someone needs to approve a step, it picks up exactly where it left off. With trajectory branching, you can test alternate paths without disrupting the main workflow. Built with security in mind, it uses sandboxing to isolate tasks, especially critical when generating code or handling sensitive data. Paired with Agent Substrate for Kubernetes, it efficiently scales to handle bursty, real-time agent workloads. Fully flexible, it supports multiple frameworks and can run privately on your own servers—giving devs ultimate control over reliable, secure AI workflows.

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