azoth-memory-capture

You can capture session lessons by archiving them as structured episodes using an append-only schema with timestamps, types, summaries, and tags to prevent knowledge loss. This automatically surfaces recurring patterns for higher memory layer promotion.

The best way to enforce governance on episodic memory is using an append-only editing model that creates explicit cross-episode linkages for supersedes and related relationships. This ensures reliable recall and prevents unauthorized historical modifications.

Auto-classification promotes recurring patterns by evaluating captured episodes across sessions and proposing elevation to higher memory layers when behaviors are reinforced. This automated workflow transforms isolated session lessons into durable procedural knowledge.

You should archive decisions using an episode schema during session closeout or immediately after significant decisions are made. This timing captures the exact context, lessons, and tags needed to prevent knowledge loss before the session ends.

Yes, you can link related episodes together using explicit cross-episode relationships for supersedes and related connections. This structured linkage preserves context across multiple sessions and ensures reliable recall of evolving knowledge.