Langgraph Checkpoints
Langgraph Checkpoints allows you to reliably save and restore specific states within your language models for consistent experimentation & debugging.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add langgraph-checkpoints npx -- -y @trustedskills/langgraph-checkpoints
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"langgraph-checkpoints": {
"command": "npx",
"args": [
"-y",
"@trustedskills/langgraph-checkpoints"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The langgraph-checkpoints skill allows you to save and restore the state of a LangGraph workflow. This enables resuming interrupted workflows, debugging complex sequences, or creating interactive experiences where users can pause and resume execution. It provides persistence for LangGraph graphs, allowing them to be restarted from specific points.
When to use it
- Long-running tasks: Use checkpoints when your LangGraph workflow takes a significant amount of time to complete, such as generating a long document or analyzing a large dataset.
- Debugging complex workflows: If you encounter errors in a lengthy LangGraph execution, checkpoints allow you to isolate the problematic section and restart from there.
- Interactive agent experiences: Enable users to pause and resume a workflow, providing more control over the process.
Key capabilities
- Saving workflow state to persistent storage.
- Restoring a workflow from a saved checkpoint.
- Resuming execution from a specific point in the LangGraph graph.
Example prompts
- "Save the current state of this LangGraph workflow."
- "Restore the last checkpoint for this LangGraph graph."
- "Resume the LangGraph process from checkpoint 'my_checkpoint'."
Tips & gotchas
- Requires a suitable storage mechanism (e.g., file system, database) to persist checkpoints.
- Checkpointing can introduce overhead; consider the frequency of saves based on workflow complexity and duration.
Tags
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