Glossary of AI Terminology

What Is Checkpointing (Agents)?

Checkpointing (agents)

Checkpointing is the practice of saving an agent's state at defined points so the workflow can resume, audit, retry, or roll back after interruption. A checkpoint might store plan state, completed tool calls, retrieved documents, intermediate outputs, and policy approvals.

Checkpointing is a reliability primitive for long-running agents. It helps prevent duplicate side effects, makes debugging easier, and creates natural points for human review or evaluation.

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