planning-with-files

To maintain task progress across sessions, use a file-based planning system that stores goals, phases, and errors in markdown files like task_plan.md. This creates persistent long-term memory, ensuring work continuity and seamless recovery even after system reboots or context resets.

Markdown task planning integrates with live session tracking by using task_plan.md for persistent storage and TodoWrite for real-time visibility. This dual approach syncs file templates with active session state, capturing decisions and errors while displaying current progress directly within the interface.

The best way to recover complex task context after an AI context reset is by re-reading the task_plan.md file. This persistent markdown document logs all encountered errors, research findings, and progress, allowing you to pick up exactly where you left off without losing critical state information.

Yes, you can use file-based note-taking for tiered task complexity management by utilizing task_plan.md for standard tracking and notes.md for in-depth research. This supports tiered complexity from T1 to T3+, defining specific file persistence and content templates based on the task level.

Yes, persistent planning and note-taking works with Graphiti memory by enabling knowledge transfer after task completion. The structured markdown files containing research, decisions, and progress logs can be exported to Graphiti memory systems to build long-term organizational knowledge.

You should not use a markdown file system for project task management when dealing with simple, single-step tasks that do not require persistent recovery or multi-day tracking. For brief operations without context reset risks, the overhead of maintaining task_plan.md and notes.md is unnecessary.