Agent Progress Journal Pattern: Claude Code, Cursor Prompt

Agent LoopsAgent Loops

Agent Progress Journal Pattern: Claude Code, Cursor Prompt

Create a structured journal that agent loops write to at each step for traceability, debugging, and human review

Write the progress journal module for the agent loop in [YOUR_PROJECT].

Implement a Journal class with these methods:
**start(loop_name, goal)**: Create .agent/journals/[LOOP_NAME]-[DATE]-[TIME].md with a header includi
TLDR

Structured progress journal pattern for Claude Code agent loops. Writes a human-readable markdown log at each step with decision rationale, actions taken, and outcomes. Useful for debugging and audit trails.

How to use

  1. 1

    Start by replacing [YOUR_PROJECT] with the specific name of your project to ensure the generated journal file is correctly labeled and organized.

  2. 2

    Use the defined methods in the Journal class to systematically document each phase of your agent loop, ensuring you follow the structure for clarity and consistency.

  3. 3

    After completing each step, remember to call the appropriate methods like step and result to keep your journal updated with accurate reflections of your progress.

Frequently asked questions

What is the Agent Progress Journal Pattern: Claude Code, Cursor Prompt prompt used for?

Structured progress journal pattern for Claude Code agent loops. Writes a human-readable markdown log at each step with decision rationale, actions taken, and outcomes. Useful for debugging and audit trails.

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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