Memory Bank FAQs

Question 1

What are 'operational modes' in Memory Bank and how do they help?

Accepted Answer

Operational modes like `code`, `architect`, `debug`, `ask`, and `test` allow you to focus your AI assistant's tasks on specific activities. This optimizes its responses and actions for the current workflow, enhancing productivity.

Question 2

Which AI assistants and editors does Memory Bank integrate with?

Accepted Answer

Memory Bank is designed to integrate with various AI assistants (e.g., Claude, Copilot) and editors like VSCode, Cursor, and Claude Desktop, typically via an MCP (Memory, Context, & Prompt) configuration.

Question 3

What is Memory Bank?

Accepted Answer

Memory Bank is an MCP server that provides AI assistants with persistent memory, enabling them to retain project context, decisions, and progress across multiple sessions for continuous workflow.

Question 4

How does Memory Bank store project information?

Accepted Answer

It stores project context, decisions, and progress in structured markdown files (e.g., `product-context.md`, `decision-log.md`) within a dedicated `memory-bank/` directory. These files can be local or on a remote server via SSH.

Question 5

Can Memory Bank be used with remote servers?

Accepted Answer

Yes, Memory Bank supports storing your memory files on a remote server via SSH. This is ideal for distributed teams, secure environments, or when you need centralized access to your AI's persistent memory.

Memory Bank

Memory Bank

Key Features

Use Cases

Key Features

Use Cases