planning-with-files

Persist task plans and progress by storing them in Markdown files on disk. This ensures your findings and project state survive context loss, allowing AI coding agents to continue work seamlessly across new sessions.

File-based planning recovers context by automatically reading persistent Markdown files to catch up the AI agent. A Python 3 session catchup script restores your task state and progress immediately after a context clear.

Yes, you can use Markdown files to manage multi-step software development tasks. The system supports planning out, breaking down, and organizing complex projects or research tasks that require coordination across multiple tools and calls.

Yes, Python 3 is required to run the session catchup script. It executes the automatic session recovery process to restore your task plans and findings from the persistent Markdown files.

The best way to organize research findings is using persistent file-based planning in Markdown. This keeps task plans, findings, and progress stored on disk, integrating directly with AI workflows for automatic recovery.

Use persistent file-based planning when working on multi-step projects or research tasks that span multiple tools and calls. It is essential when you need task plans and progress to survive context loss across different sessions.