langgraph/docs/docs/reference/checkpoints.md

Checkpoints

You can [compile][langgraph.graph.MessageGraph.compile] any LangGraph workflow with a [CheckPointer][basecheckpointsaver] to give your agent "memory" by persisting its state. This permits things like:

• Remembering things across multiple interactions
• Interrupting to wait for user input
• Resilience for long-running, error-prone agents
• Time travel retry and branch from a previous checkpoint

Checkpoint

::: langgraph.checkpoint.base.Checkpoint

CheckpointMetadata

::: langgraph.checkpoint.base.CheckpointMetadata

BaseCheckpointSaver

::: langgraph.checkpoint.base.BaseCheckpointSaver

SerializerProtocol

::: langgraph.checkpoint.SerializerProtocol

Implementations

LangGraph also natively provides the following checkpoint implementations.

MemorySaver

::: langgraph.checkpoint.memory.MemorySaver

AsyncSqliteSaver

::: langgraph.checkpoint.aiosqlite.AsyncSqliteSaver

SqliteSaver

::: langgraph.checkpoint.sqlite.SqliteSaver handler: python