Chat Memory FAQs

Question 1

Which AI clients and assistants are compatible with Chat Memory?

Accepted Answer

Chat Memory works seamlessly with any MCP-compatible client. This includes popular AI developer tools like Claude Code, Cursor, Windsurf, Cline, and any custom agent that supports the Model Context Protocol.

Question 2

What is Chat Memory?

Accepted Answer

Chat Memory transforms your ChatGPT conversation exports into a powerful, searchable Model Context Protocol (MCP) server. It enables AI assistants to access and utilize your full conversation history for enhanced context and recall.

Question 3

Is Chat Memory a local and self-hosted solution?

Accepted Answer

Yes, Chat Memory is designed for entirely local and self-hosted operation. It runs on your own machine using Docker, ensuring your conversation history remains private and doesn't rely on external cloud services or accounts.

Question 4

What search capabilities does Chat Memory offer?

Accepted Answer

It provides comprehensive search options, including semantic search (by meaning), keyword search, and regex search across all your indexed conversations. Your AI assistant can intelligently query your history to find specific discussions or conceptual information.

Question 5

Can I add custom documents to my searchable history?

Accepted Answer

Absolutely. Alongside your chat exports, Chat Memory allows you to ingest custom Markdown documents (such as notes, summaries, or other text files) into your searchable context by placing them in the `source-material/conversations/` directory.

Chat Memory

Chat Memory

Key Features

Use Cases

Key Features

Use Cases