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The execution state is persisted at well-defined boundaries (per node or super-step) so an interrupted or failed run resumes from the last checkpoint instead of restarting — the durable-execution substrate that also… Typical conditions for use: Agent runs are lengthy or expensive; External systems might temporarily fail. The central trade-off: Higher fault t…
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Checkpointing stores processing state at defined points so an interrupted run can resume from the last consistent state.
The technique comes from fault-tolerant data processing and distributed systems. Workflow engines and agentic runtimes now use it to make long, stateful executions resumable.
After a completed step, state, version, and required metadata are persisted. On failure, the runtime loads the last valid checkpoint and resumes with controlled retries.
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Checkpointing shortens recovery and protects expensive work. Granularity, idempotency, retention, privacy, and external side effects must be designed together.
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