DEFINITION
Agent Memory System
Natural-Language Agent Memory
Definition
A system that allows agents to save and retrieve learnings from past interactions in natural language, linked to specific entities (data models, columns, queries). Enables agents to build knowledge bases and improve accuracy over time by reusing past insights.
Examples in the Wild
- Example 1:SLayer's natural-language memory linked to models, columns, or queries
- Example 2:Agent saves 'Customer revenue is in the orders table, not the customers table' for future reference
- Example 3:Agent retrieves past learnings to avoid repeating mistakes in similar queries