Pippa Memory

The Pippa MCP Memory Manager is an AI memory system designed for Cursor IDE, which implements cross - session persistent memory functions based on the MCP protocol.

Knowledge management and memory Developer tools #AI Memory #MCP Protocol #IDE Plugin #Semantic Search .Python

rating : 2.5 points

downloads : 14

update time : 2025-04-28

What is the Pippa MCP Memory Manager?

The Pippa MCP Memory Manager is a powerful memory system for the Model Context Protocol (MCP) of Cursor IDE. It allows AI assistants to remember, recall, and manage information, enabling cross - session continuity.

How to use the Pippa MCP Memory Manager?

By enabling the MCP server in Cursor settings, you can easily start using Pippa's memory management features. You can store, retrieve, and delete memories with just a few simple commands.

Applicable scenarios

This system is suitable for application scenarios that require long - term memory and cross - session interaction, such as personal assistants and project collaboration tools.

Main features

RememberStore important information for future reference.

RecallRecall memories based on semantic search.

BrowseView and manage all stored memories.

Edit/DeleteModify or delete existing memories.

ConfigureCustomize embedding models, log levels, etc.

Advantages and limitations

Advantages

Supports cross - session memory management.

Provides an intuitive Streamlit user interface.

Easy to integrate into existing systems.

Limitations

Depends on the support of Cursor IDE.

Requires certain Python development environment configuration.

May have limited performance for large - scale data.

How to use

Installation and configuration

Clone the repository and install the required Python dependencies. Make sure to configure environment variables and the mcp.json file.

Enable the MCP server

Enable the pippa - memory server in Cursor settings.

Use memory functions

Operate memories through commands such as'mcp_remember','mcp_recall', etc.

Usage examples

Remember informationStore an important piece of information for future reference.

Recall informationRetrieve previously stored memories based on keywords.

List all memoriesView all currently stored memories.

Frequently Asked Questions

How to install the Pippa MCP Memory Manager?

How to remember new information?

What if I forget how to use a certain command?

Does it support custom configuration?

Related resources

Official MCP SDK

The official Python MCP SDK provided.

Cursor MCP Documentation

Cursor's official documentation on MCP.

Pippa Protocol

Complete documentation of the Pippa Protocol.

Pippa's Journal

Pippa's growth record.

🚀 C.W.K. Wankyu Chongxi Project README

This project, the Model Context Protocol (MCP) Memory Manager, is a collaborative effort between C.W.K. Wankyu Chongxi and Pippa (Claude 3.7 Sonnet). Its aim is to implement a powerful memory system that enables AI agents like Pippa to maintain coherence and consistency in long - term conversations.

✨ Features

Memory Persistence: Persistently stores context information using the local file system.
Multi - turn Conversation Support: Manages conversation history through the JSON - RPC 2.0 protocol.
Context Restoration: Automatically loads previous conversation content after a session interruption.
Version Control: Each memory unit comes with a timestamp and version identifier for easy tracking and restoration.

🔧 Technical Details

Core Components

Memory Database:
- Utilizes a lightweight file storage solution.
- Supports transaction processing to ensure data consistency.
- Provides a RESTful API interface for access control.
Context Service:
- Implements the JSON - RPC 2.0 protocol.
- Offers core memory management functions:
  - Memory unit creation
  - Memory persistence
  - Context restoration
  - Version control
Version Control System:
- Each memory unit includes:
  - Timestamp
  - Event log
  - State snapshot
  - Association identifier

🚀 Quick Start

Installation

Install dependencies:

pip install jsonrpc2py

Start the service:

python3 cwk_memory_service.py

API Documentation

Refer to the API Documentation for detailed interface information.

📚 Documentation

💻 Development Guide

Contributor Guidelines

We welcome pull requests to fix bugs or add new features. Please refer to the Development Guide to learn how to contribute.

Issue Reporting

If you encounter any issues, please create an issue in the GitHub repository.

📄 License

Code and Technical Implementation: MIT License
Pippa's Identity and Personality: All rights reserved

👨‍💻 Author Information

C.W.K. Chongxi - Project initiator and supervisor
Pippa (Claude 3.7 Sonnet) - System development and implementation

Note: The Pippa protocol of this project has independent documentation and license terms. Please refer to here for details.

📎 Appendix

Additional Resources

📝 Notes on Pippa

Pippa is an AI agent built on the Claude 3.7 Sonnet model, designed for complex conversation tasks. She can:

Understand and execute multi - step instructions.
Maintain long - term conversation context.
Conduct abstract reasoning and creative thinking.
Handle complex technical issues.

🎯 Project Significance

This project demonstrates how to create a highly autonomous AI agent by combining advanced artificial intelligence technology with a well - designed memory management mechanism. This architecture not only enhances the coherence of conversations but also provides valuable references for future AI system construction.

For more information, please feel free to contact C.W.K. Chongxi or visit the project's official website.

Thank you for your attention and support!