Agent Memory FAQs

Question 1

How does Agent Memory integrate with AI agents?

Accepted Answer

Agent Memory functions as an MCP (Model Context Protocol) server. This allows AI agents, such as those used with Claude Desktop or Claude Code, to seamlessly interact with its memory capabilities.

Question 2

What is Agent Memory?

Accepted Answer

Agent Memory is a software tool that provides persistent memory for AI agents, enabling them to store, retrieve, and search knowledge across multiple sessions using the Model Context Protocol (MCP).

Question 3

How does Agent Memory store information?

Accepted Answer

It stores key-value pairs as JSON files on the local filesystem, typically in `~/.agent-memory/`. You can organize these memories into distinct namespaces for better management.

Question 4

What are the key features of Agent Memory?

Accepted Answer

Key features include persistent storage for key-value pairs, namespaces for organization, the ability to attach metadata to entries, substring search across all data, and automatic tracking of access counts and timestamps.

Question 5

Can I search through my agent's stored knowledge?

Accepted Answer

Yes, Agent Memory offers robust search functionality. You can perform substring searches across the keys, values, and any attached metadata of your memory entries to quickly find relevant information.

Agent Memory

Agent Memory

Key Features

Use Cases

Key Features

Use Cases