Agent Memory FAQs

Question 1

What are the key features for developers?

Accepted Answer

Key features include instant FTS5 full-text search (with optional hybrid semantic search), project-specific workspaces, a built-in MCP server with 14 specialized tools for agents, auto-capture hooks for session data (with sensitive data scrubbing), and smart context assembly within token limits.

Question 2

What is Agent Memory?

Accepted Answer

Agent Memory is a single-binary tool that provides persistent, searchable memory for AI coding agents. It ensures your agents retain context, decisions, and information across multiple sessions, eliminating the need to re-explain project details.

Question 3

Is Agent Memory difficult to set up or integrate?

Accepted Answer

Not at all. Designed for 'zero setup,' it's a single Go binary with no external dependencies like Docker or databases. Installation is a simple `go install` command, and integration with Claude Code or other MCP-compatible agents is streamlined.

Question 4

How does Agent Memory help AI agents remember information?

Accepted Answer

It stores all relevant context, prompts, and tool outputs in a local SQLite database. Agents can then leverage instant FTS5 full-text search, or smart context assembly, to retrieve precise information relevant to their current task, ensuring continuity.

Question 5

Can Agent Memory be used offline?

Accepted Answer

Yes, Agent Memory fully supports offline use for its FTS5-based search and core memory functions. If optional hybrid keyword-semantic search is configured, only the embedding generation part would require an internet connection.

Agent Memory

Agent Memory

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