Loop State Persistence with File Checkpoints: Claude Code Prompt
Design a checkpoint pattern that saves loop progress to disk so interrupted loops resume from where they stopped
Agent LoopsLoop State Persistence with File Checkpoints: Claude Code Prompt
Design a checkpoint pattern that saves loop progress to disk so interrupted loops resume from where they stopped
Design the checkpoint state pattern for the agent loop in [YOUR_PROJECT]. Implement a State class with these methods: **load()**: Read .agent/state-[LOOP_NAME].json. If the file does not exist, return a fresh state with
File-based checkpoint pattern for Claude Code agent loops. Saves loop progress to a JSON state file after each step so interrupted or crashed loops can resume exactly where they stopped without repeating completed work.
File-based checkpoint pattern for Claude Code agent loops. Saves loop progress to a JSON state file after each step so interrupted or crashed loops can resume exactly where they stopped without repeating completed work.
How to use
- 1
Start by replacing [YOUR_PROJECT] and [LOOP_NAME] with the actual names relevant to your project to ensure the prompt accurately reflects your specific use case in Agent Loops.
- 2
Use the provided methods in the State class to manage your agent loop effectively, ensuring that you call state.is_done(item.id) at the beginning of each iteration for proper state management.
- 3
After implementing the save method, verify that updates are correctly merged and that the state file is written atomically to maintain data integrity during the checkpoint process.
Frequently asked questions
What is the Loop State Persistence with File Checkpoints: Claude Code Prompt prompt used for?
File-based checkpoint pattern for Claude Code agent loops. Saves loop progress to a JSON state file after each step so interrupted or crashed loops can resume exactly where they stopped without repeating completed work.
How do I get the best results from this memory & state prompt?
Paste the prompt into Claude Code, Cursor, Replit, fill in every bracketed placeholder with your specific information, then submit. The more detail you add to each placeholder, the more targeted the output. You can continue in the same conversation to refine tone, length, or focus without restarting from scratch.
Does this prompt work with Claude Code?
Yes. This prompt is optimized for Claude Code and also works well with Cursor and Replit. The structured format with a defined role and numbered steps produces consistent results across all major instruction-following models, so you can use whichever tool you prefer.
How do I access this agent loops prompt?
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