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Project Memory MCP

@PyneSys

An MCP server that enables AI agents to persistently store and retrieve project information from a memory file.
Overview

what is Project Memory MCP?

Project Memory MCP is an MCP server that allows AI agents to persistently store and retrieve project information from a memory file, enabling continuity in conversations about projects.

how to use Project Memory MCP?

To use Project Memory MCP, set up the server using the provided configuration in your MCP client (like Claude Desktop) and start the server based on that configuration. The server will automatically handle memory retrieval and updates during conversations.

key features of Project Memory MCP?

  • Store project information in Markdown format.
  • Retrieve project information at the beginning of conversations.
  • Update project information using efficient patching methods.

use cases of Project Memory MCP?

  1. Maintaining project context in AI conversations.
  2. Storing and retrieving project details for collaborative work.
  3. Updating project information dynamically during discussions.

FAQ from Project Memory MCP?

  • Can Project Memory MCP handle multiple projects?

Yes! Each project can have its own MEMORY.md file for storing information.

  • Is there a limit to the size of the memory file?

The size is primarily limited by the file system and the performance of the AI agent.

  • How secure is the project information stored?

Project paths are validated, and sensitive information should not be stored in memory files.

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