Agent Memory FAQs

Question 1

What are the core memory types supported by Agent Memory?

Accepted Answer

It supports three types: Episodic Memory for interaction events, Semantic Memory for consolidated knowledge, and Procedural Memory for learned workflows and action sequences.

Question 2

How does Agent Memory manage memory consolidation and decay?

Accepted Answer

It features 'Auto-Consolidation' for nightly pattern extraction and daily synopsis generation, and 'Intelligent Decay' that uses composite scoring (recency, relevance, utility) to decide when to archive memories.

Question 3

Can Agent Memory be integrated with AI assistants?

Accepted Answer

Yes, it offers an MCP (Model Context Protocol) server for seamless integration with AI assistants, providing tools like `@memory/learn` and `@memory/search` for memory operations.

Question 4

What is Agent Memory?

Accepted Answer

Agent Memory is a production-ready memory management system designed for AI agents, providing episodic, semantic, and procedural memory types with advanced features for recall and learning.

Question 5

How does Agent Memory retrieve information?

Accepted Answer

It utilizes 'Hybrid Search' combining BM25 keyword and vector semantic search with RRF fusion, alongside 'Hierarchical Retrieval' to access memories across multi-levels from synopsis to archived data.

Agent Memory

Agent Memory

Key Features

Use Cases

Key Features

Use Cases