After a week of ingesting articles about agent harnesses and memory into my Hermes-managed llm-wiki, I finally have an interesting query. I'm sharing the result here.
Query: considering all the ways of classifying agent memory, can the classes be distilled into a minimum number of orthogonal dimensions (varying independently)?
Distillation of classifications into 3 independent axes:
1. Persistence: Volatile vs. Durable
2. Content: Declarative vs. Procedural
3. Storage: Parametric vs. Non-parametric
Working: Volatile/Declarative/Parametric
Episodic: Durable/Declarative/Non-parametric
Semantic: Durable/Declarative/Non-parametric
Procedural: Durable/Procedural/(Mixed)
The second half of that answer seems to examine how agent harnesses classify memory and reframes those with respect to the three independent dimensions.
Useful answer? Need time to digest.
Query: considering all the ways of classifying agent memory, can the classes be distilled into a minimum number of orthogonal dimensions (varying independently)?
Distillation of classifications into 3 independent axes:
1. Persistence: Volatile vs. Durable
2. Content: Declarative vs. Procedural
3. Storage: Parametric vs. Non-parametric
Working: Volatile/Declarative/Parametric
Episodic: Durable/Declarative/Non-parametric
Semantic: Durable/Declarative/Non-parametric
Procedural: Durable/Procedural/(Mixed)
The second half of that answer seems to examine how agent harnesses classify memory and reframes those with respect to the three independent dimensions.
Useful answer? Need time to digest.