Cover image
Simple-Memory-Extension-MCP-server
Public

Simple-Memory-Extension-MCP-server

Try Now
2025-03-17

Un servidor MCP para extender el contexto de los agentes. Útil al codificar grandes características o codificación de vibra y la necesidad de almacenar/retirar el progreso, los momentos o cambios clave o cualquier cosa que valga la pena recordar. Simplemente pídale al agente que almacene recuerdos y recuerde cuando lo desee.

3 years

Works with Finder

1

Github Watches

1

Github Forks

5

Github Stars

Simple Memory Extension MCP Server

An MCP server to extend the context window / memory of agents. Useful when coding big features or vibe coding and need to store/recall progress, key moments or changes or anything worth remembering. Simply ask the agent to store memories and recall whenever you need or ask the agent to fully manage its memory (through cursor rules for example) however it sees fit.

Usage

Starting the Server

npm install
npm start

Available Tools

Context Item Management

  • store_context_item - Store a value with key in namespace
  • retrieve_context_item_by_key - Get value by key
  • delete_context_item - Delete key-value pair

Namespace Management

  • create_namespace - Create new namespace
  • delete_namespace - Delete namespace and all contents
  • list_namespaces - List all namespaces
  • list_context_item_keys - List keys in a namespace

Semantic Search

  • retrieve_context_items_by_semantic_search - Find items by meaning

Semantic Search Implementation

  1. Query converted to vector using E5 model
  2. Text automatically split into chunks for better matching
  3. Cosine similarity calculated between query and stored chunks
  4. Results filtered by threshold and sorted by similarity
  5. Top matches returned with full item values

Development

# Dev server
npm run dev

# Format code
npm run format

.env

# Path to SQLite database file
DB_PATH=./data/context.db

PORT=3000

# Use HTTP SSE or Stdio
USE_HTTP_SSE=true

# Logging Configuration: debug, info, warn, error
LOG_LEVEL=info

Semantic Search

This project includes semantic search capabilities using the E5 embedding model from Hugging Face. This allows you to find context items based on their meaning rather than just exact key matches.

Setup

The semantic search feature requires Python dependencies, but these should be automatically installed when you run: npm run start

Embedding Model

We use the intfloat/multilingual-e5-large-instruct

Notes

Developed mostly while vibe coding, so don't expect much :D. But it works, and I found it helpful so w/e. Feel free to contribute or suggest improvements.

相关推荐

  • NiKole Maxwell
  • I craft unique cereal names, stories, and ridiculously cute Cereal Baby images.

  • Joshua Armstrong
  • Confidential guide on numerology and astrology, based of GG33 Public information

  • https://suefel.com
  • Latest advice and best practices for custom GPT development.

  • Emmet Halm
  • Converts Figma frames into front-end code for various mobile frameworks.

  • Elijah Ng Shi Yi
  • Advanced software engineer GPT that excels through nailing the basics.

  • ANGEL LEON
  • A world class elite tech co-founder entrepreneur, expert in software development, entrepreneurship, marketing, coaching style leadership and aligned with ambition for excellence, global market penetration and worldy perspectives.

  • INFOLAB OPERATIONS 2
  • A medical specialist offering assistance grounded in clinical guidelines. Disclaimer: This is intended for research and is NOT safe for clinical use!

  • Callycode Limited
  • A geek-themed horoscope generator blending Bitcoin prices, tech jargon, and astrological whimsy.

  • Yasir Eryilmaz
  • AI scriptwriting assistant for short, engaging video content.

  • apappascs
  • Descubra la colección más completa y actualizada de servidores MCP en el mercado. Este repositorio sirve como un centro centralizado, que ofrece un extenso catálogo de servidores MCP de código abierto y propietarios, completos con características, enlaces de documentación y colaboradores.

  • ShrimpingIt
  • Manipulación basada en Micrypthon I2C del expansor GPIO de la serie MCP, derivada de AdaFruit_MCP230xx

  • OffchainLabs
  • Implementación de la prueba de estaca Ethereum

  • huahuayu
  • Una puerta de enlace de API unificada para integrar múltiples API de explorador de blockchain similar a Esterscan con soporte de protocolo de contexto modelo (MCP) para asistentes de IA.

  • deemkeen
  • Controle su MBOT2 con un combo de potencia: MQTT+MCP+LLM

  • zhaoyunxing92
  • 本项目是一个钉钉 MCP (Protocolo del conector de mensajes )服务 , 提供了与钉钉企业应用交互的 API 接口。项目基于 Go 语言开发 支持员工信息查询和消息发送等功能。 支持员工信息查询和消息发送等功能。

  • pontusab
  • La comunidad de cursor y windsurf, encontrar reglas y MCP

    Reviews

    5 (1)
    Avatar
    user_HcRIOlv4
    2025-04-16

    Simple-Memory-Extension-MCP-Server by gmacev is a fantastic tool for enhancing memory management in MCP applications. It's intuitive and easy to integrate, making it an essential addition for developers looking to optimize their server performance. Highly recommend checking it out at https://github.com/gmacev/Simple-Memory-Extension-MCP-Server!