Agent Memory Systems Directory
Type: kb/types/index.md
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- Adaptation survey review candidates (note) - Coverage-planning note mapping the Adaptation of Agentic AI survey's memory and skill systems to existing KB reviews and candidate additions
- Thalo entity types compared to commonplace document types (note) - Reference for borrowing recurring note shapes from Thalo — their entity types (opinion, reference, lore, journal, synthesis) map onto our types with concrete gaps still open (supersedes links, source status tracking)
- The fundamental split in agent memory is not storage format but who decides what to remember (note) - Comparative analysis of eleven agent memory systems across six architectural dimensions — storage unit, agency model, link structure, temporal model, curation operations, and extraction schema — revealing that the agency question (who decides what to remember) is the most consequential design choice and that no system combines high agency, high throughput, and high curation quality.
- Trace-derived learning techniques in related systems (note) - Trace-derived learning systems compared on ingestion pattern, promotion target, artifact structure, and evidence tier across repo reviews and source-only coverage
- Writing conventions for kb/agent-memory-systems/