OpenMemory MCP is a locally run application for the storage, organization and management of your “ memory “ to carry context between different AI tools. It proposes solutions to the three main difficulties of the current LLM tool: “Remembrances of Inconsistence”, “Deficit context”, and “Inadequacy of privacy”:

To provide a unified, structured and privately owned “memory layer”
Localization of memory management, privacy security
User-led data flow through permission models
Support extension for multi-category AI client ecology

It allows you to use historical information, dialogue style, preferences and project status on a continuous basis between Claude, Cursor, Windsurf, and other LLM tools, and thus achieve a true cross-platform, continuous AI interactive experience. It can be understood that:** for the first time your A.I. personal assistant has a truly “you” permanent memory module, which can also be called back and forth between various AIs, while ensuring that privacy and control are in the hands of users**.

Core function bright spot

# Typical Uses

** Project context transmission**

You still have access to design details, constraints and requirements when you discuss an API design in Claude and move to Cursor code.

** Debug track records**

MCP automatically records how you’ve checked certain types of bugs in the past, and AI can make proposals on the basis of these models.

Prompt Historical Memory

Storage of your alert style in different tasks so that different tools can imitate or continue the style.

** Highlights and memories of the session**

Recording the summaries of past meetings and your feedback, which AI can quote when generating a document or summing up.

** Log of product evolution**

Recording the entire process of achieving the feedback from functional requirements, AI supporting retrospective and iterative.

# System architecture and security model

Local priority (Local-First):

All data are only available locally by default and can be operated without network connections;
There will be no automatic synchronization to clouds unless the user takes the initiative to export or share the operation. • Auditable (Permission-Based Access):
Each AI tool reading/writing memory requires explicit authorization;
Users can view detailed access logs and data uses.