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agent-checkpointing

Save and restore agent execution state, including filesystem, conversation history, and tool outputs.

24|Updated Feb 4, 2026
Search Tags:#debugging#state management#rollback#agent#checkpointing
One-click install
npx skills add https://github.com/lgrammel/ai-engineering --skill agent-checkpointing
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agent-checkpointing
Source: https://github.com/lgrammel/ai-engineering/tree/main/concepts
Command: npx skills add https://github.com/lgrammel/ai-engineering --skill agent-checkpointing

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill allows you to save the current state of an agent's execution, enabling you to resume, roll back, or fork from that point later.

Core Features & Use Cases

  • Save State: Capture the agent's current filesystem, conversation history, and tool outputs.
  • Resume/Rollback: Restore the agent to a previous saved state.
  • Forking: Branch execution from a saved state to test alternative strategies.
  • Use Case: Debugging a complex agent task by saving a checkpoint after each successful step, allowing you to roll back to a known good state if a subsequent step fails.

Quick Start

Use the agent checkpointing skill to save the current agent state.

Frequently Asked Questions about agent-checkpointing

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I save and restore agent state during execution?▼

To save and restore agent state, you can capture the current filesystem, conversation history, and tool outputs into a checkpoint, then restore the agent to that saved state later to resume execution.

What is agent checkpointing and when do I need it?▼

Agent checkpointing is the process of snapshotting an agent's execution state, needed when you require debugging, rollback, or trajectory forking capabilities to revert to known good states after failures.

Can I fork an agent's execution trajectory from a previous state?▼

Yes, you can fork an agent's execution trajectory by branching from a saved checkpoint, allowing you to test alternative strategies from that specific point in the conversation history.

How do I rollback an agent to a previous state after a failed step?▼

To rollback an agent after a failed step, restore a previously saved checkpoint containing the filesystem contents and conversation history, reverting the execution to a known good state.

Does agent checkpointing work with sandbox services and agent runtimes?▼

Yes, agent checkpointing supports integration with agent runtimes and sandbox services to provide the snapshotting primitives required for capturing and restoring execution states.

What limitations exist when restoring conversation history and tool outputs?▼

Restoration captures filesystem, conversation history, and tool outputs, but limitations depend on the integration depth with your specific agent runtime and sandbox service snapshotting primitives.

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