Agentmem

Agentmem empowers AI agents with crucial long-term memory, ensuring continuity across sessions where context would otherwise be lost. It stores an agent's knowledge, experiences, and rules in a lightweight, single SQLite file, eliminating the need for complex databases or cloud services. With its innovative hybrid search (combining full-text keywords with vector semantics) and adaptive ranking, agents can quickly recall relevant information. The tool offers robust features like memory tiers, namespaces for isolation, temporal versioning to track fact evolution, and automatic extraction of entities and conversation insights, all designed for production-ready reliability and minimal overhead.

Key Features

Use Cases