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

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.

What is Project Shared Memory?

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.

How are AI memories stored and shared across a team?

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.

What operations can AI assistants perform on these memory files?

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

Name: Project Shared Memory
Author: doctorspider42

•

Provides AI assistants with persistent, project-scoped memory, storing context files directly within a repository for version control and team sharing.

Project Shared Memory

•

Provides AI assistants with persistent, project-scoped memory, storing context files directly within a repository for version control and team sharing.

Project Shared Memory is an MCP (Model Context Protocol) server designed to equip AI assistants with durable, project-specific memory. Unlike global memory tools, it stores AI-generated context as files in a designated directory within your repository, enabling seamless version control, team collaboration, and portability. This innovative approach ensures that notes, decisions, and conventions made by an AI assistant remain with the project, accessible across sessions and shared among team members, making AI a more integrated and consistent part of your development workflow.

主な機能

01Stores memories within the project repository (`.github/memories/`)

02Supports full CRUD operations (view, create, edit, delete, rename) for memory files

030 GitHub stars

04Offers Docker-ready deployment for containerized environments

05Ensures path safety to prevent traversal attacks

06Enables version control and team sharing of AI context

ユースケース

01Capturing and persisting AI assistant notes, decisions, and conventions within a project.

02Sharing AI-generated project context and insights with development teams via version control.

03Maintaining consistent AI understanding and conversational state across development sessions and environments.