Glossary
Agent Memory Architecture
The structural design of how an agent stores, retrieves, and utilizes information across short-term context, long-term knowledge, and persistent state.
What is Agent Memory Architecture?
Memory architectures determine what agents can remember, how quickly they recall it, and how memory influences behavior. Components include working memory (current context window), episodic memory (past interaction records), semantic memory (factual knowledge), and procedural memory (learned skills). Design choices impact cost, performance, and capability.
Advanced architectures employ vector databases for semantic search, hierarchical summarization for compression, and retrieval-augmented generation for knowledge access. Memory management strategies must balance recall quality against storage costs and latency.
Example
A customer service agent uses working memory for the current conversation, episodic memory to recall previous customer interactions, semantic memory for product knowledge, and procedural memory for troubleshooting workflows.
How Signet addresses this
Signet agent profiles can declare memory architecture characteristics, helping consumers understand retention capabilities. Audit trails supplement agent memory, providing externally verified transaction history.
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