Hierarchical Memory
A memory architecture in agent context management that distinguishes short-term conversation from long-term knowledge, applying different eviction strategies to each so as to operate within a hard token budget.
Timeline (last 90 days)
Layered memory divides context into three layers: the always-loaded core state, the on-demand-loaded architecture documents and API specifications, and the background full-text-search-style history records.
Mitigation solutions for long-term memory include hierarchical memory (hot storage and cold storage), TTL mechanisms borrowed from caching systems, and weight decay based on the forgetting curve; these solutions are still in an experimental stage and have not yet been standardized by mainstream frameworks.
All Facts (2)
Layered memory divides context into three layers: the always-loaded core state, the on-demand-loaded architecture documents and API specifications, and the background full-text-search-style history records.
50%UnverifiedMitigation solutions for long-term memory include hierarchical memory (hot storage and cold storage), TTL mechanisms borrowed from caching systems, and weight decay based on the forgetting curve; these solutions are still in an experimental stage and have not yet been standardized by mainstream frameworks.
50%