Context Health Monitor

To prevent context rot in long-running AI agent sessions, you need a context health monitor to detect when complexity grows beyond a safe threshold, triggering automatic state dumps and decision logs before reasoning quality degrades.

Automatic state capture works by monitoring session complexity and writing a state dump to .gsd/STATE.md when warning thresholds are hit, preserving your workflow context for safe recovery and review before quality deteriorates.

You should trigger a decision log during an AI agent task when context complexity exceeds safe thresholds, documenting key choices to .gsd/DECISIONS.md to support handoff, review, and safe recovery workflows.

Yes, you can pause and resume agent sessions to reset context complexity. The monitor provides guidance to use /pause or /resume commands, allowing you to start with fresh context after hitting warning thresholds.

The best way to self-monitor context complexity in autonomous agents is to activate a context health monitor that continuously evaluates session state, automatically capturing state dumps and decision logs when warning signs are detected.

No, you do not need external tooling to capture state dumps for AI sessions, as the monitor writes directly to .gsd/STATE.md and .gsd/DECISIONS.md, though optional integration hooks are available if you want to connect external systems.