Memory FAQs

Question 1

What is Memory for AI coding agents?

Accepted Answer

Memory indexes and makes searchable the complete conversation history for your AI coding agent. This enables your agent to recall past decisions, discussions, and context, preventing it from 'forgetting' information between sessions.

Question 2

What kind of search capabilities does Memory offer?

Accepted Answer

Memory provides robust hybrid search, combining semantic search for conceptual queries, full-text search (FTS) for exact terms, and reranking to deliver highly precise and relevant results from your conversation history.

Question 3

How does Memory improve my workflow with an AI agent?

Accepted Answer

Memory eliminates the need to manually copy-paste context or re-explain past discussions. Your agent can autonomously search its history for relevant information, allowing it to make better decisions, maintain context, and accelerate your development process.

Question 4

How does Memory ensure my data privacy?

Accepted Answer

Memory is designed for privacy. All indexing and data storage happen locally on your machine. There are no cloud dependencies, API keys, or telemetry, ensuring nothing leaves your device and your conversation history remains private.

Question 5

Is Memory only compatible with Claude Code?

Accepted Answer

While Memory offers deep, native tool integration for Claude Code via an MCP server, its core CLI engine is tool-agnostic. You can use `memory ingest` and `memory search` with any AI coding agent, with native integrations for other agents planned.

Memory

Memory

Key Features

Use Cases

Key Features

Use Cases