sia-code/decision-trace

To capture AI decision making reasoning, you can use a structured decision trace format that records context, alternatives considered, and outcomes. This prevents knowledge loss by ensuring future AI sessions understand the historical rationale behind past choices.

AI agents treat situations as novel when memory entries only record what decision was made without the why. Enforcing a structured decision trace captures the reasoning context and outcomes, enabling persistent learning and consistent future actions.

The best way to structure AI memory entries for knowledge retention is to enforce a consistent decision trace format. This format moves beyond simple outcome recording by explicitly capturing context, reasoning, and the alternatives considered for each decision.

You can record decision context and alternatives by using the memory add-decision command. This command enforces a structured decision trace format that captures the full reasoning and observed outcomes for future knowledge management.

Yes, structured reasoning capture integrates directly with sia-code memory management for persistent learning. This integration ensures that captured decision context and outcomes are retrievable across future AI sessions for enhanced recall.