Project Shared Memory FAQs

Question 1

Is Project Shared Memory easy to integrate into my development workflow?

Accepted Answer

Yes, it's designed for easy integration. Options include one-click installation for VS Code, simple setup via `npx`, running from source, and Docker-ready deployment for containerized environments, making it adaptable to various setups.

Question 2

What is Project Shared Memory?

Accepted Answer

Project Shared Memory is an MCP server that provides AI assistants with persistent, project-scoped memory. It stores context files directly within your repository, enabling version control and seamless team sharing.

Question 3

How are AI memories stored and shared across a team?

Accepted Answer

Memories are stored as files within your project's `.github/memories/` directory. This approach ensures they are version-controlled, can be committed to your repository, and shared with your entire development team just like any other project file.

Question 4

What operations can AI assistants perform on these memory files?

Accepted Answer

AI assistants have full CRUD (Create, Read, Update, Delete) capabilities. They can view file contents, create new memory files, edit existing ones (string replace/insert), rename, and delete files or directories.

Project Shared Memory

Project Shared Memory

Key Features

Use Cases

Key Features

Use Cases