MCP-Mem0 provides a robust, Python-based server for efficient long-term agent memory storage, retrieval, and management.
Added on:
Created by:
Apr 28 2025
MCP-Mem0 provides a robust, Python-based server for efficient long-term agent memory storage, retrieval, and management.
Added on:
Created by:
Apr 28 2025
yellnuts
Featured
What is MCP-Mem0?
MCP-Mem0 is a comprehensive server solution designed for managing long-term agent memories with Mem0 technology. Built with Python, it allows users to store, retrieve, and manage agent data efficiently, making it ideal for applications requiring persistent memory. The system serves as both a memory management tool and a template for building custom MCP servers. It supports API interactions for creating, accessing, and deleting memory data, facilitating integration into larger AI or agent systems. With a lightweight design and easy setup, MCP-Mem0 is suitable for developers aiming to implement durable agent memory solutions or develop customized server functionalities.
Who will use MCP-Mem0?
- AI and machine learning developers
- Agent system integrators
- Research scientists working on persistent memory
- Python developers building MCP servers
- Organizations deploying long-term memory solutions
How to use the MCP-Mem0?
- Step1: Download the latest MCP-Mem0 release from GitHub.
- Step2: Clone the repository and install dependencies with pip.
- Step3: Run the server using 'python server.py'.
- Step4: Access the API via localhost or configured URL.
- Step5: Use POST, GET, and DELETE endpoints to manage memory.
MCP-Mem0's Core Features & Benefits
The Core Features
- Store agent memory data
- Retrieve stored memories
- Delete memory entries
- Configure memory expiry and logging levels
- API-based interactions for ease of use
The Benefits
- Persistent memory management for agents
- Easy to customize with Python
- Lightweight and resource-efficient
- Template for building custom MCP servers
- Supports long-term data storage and retrieval
MCP-Mem0's Main Use Cases & Applications
- Implementing long-term memory for AI agents
- Building custom MCP servers for research projects
- Storing persistent user data in AI applications
- Developing intelligent systems that require memory continuity
FAQs of MCP-Mem0
Developer
- yellnuts
You may also like:
Developer Tools
A desktop application for managing server and client interactions with comprehensive functionalities.
A Model Context Protocol server for Eagle that manages data exchange between Eagle app and data sources.
A chat-based client that integrates and uses various MCP tools directly within a chat environment for enhanced productivity.
A Docker image hosting multiple MCP servers accessible through a unified entry point with supergateway integration.
Provides access to YNAB account balances, transactions, and transaction creation through MCP protocol.
A fast, scalable MCP server for managing real-time multi-client Zerodha trading operations.
A remote SSH client facilitating secure, proxy-based access to MCP servers for remote tool utilization.
A Spring-based MCP server integrating AI capabilities for managing and processing Minecraft mod communication protocols.
A minimalistic MCP client with essential chat features, supporting multiple models and contextual interactions.
A secure MCP server enabling AI agents to interact with Authenticator App for 2FA codes and passwords.
Research And Data
A server implementation supporting Model Context Protocol, integrating CRIC's industrial AI capabilities.
Provides real-time traffic, air quality, weather, and bike-sharing data for Valencia city in a unified platform.
A React application demonstrating integration with Supabase via MCP tools and Tambo for UI component registration.
A MCP client integrating Brave Search API for web searches, utilizing MCP protocol for efficient communication.
A protocol server enabling seamless communication between Umbraco CMS and external applications.
NOL integrates LangChain and Open Router to create a multi-client MCP server using Next.js
Connects LLMs to Firebolt Data Warehouse for autonomous querying, data access, and insight generation.
A client framework for connecting AI agents to MCP servers, enabling tool discovery and integration.
Spring Link facilitates linking and managing multiple Spring Boot applications efficiently within a unified environment.
An open-source client to interact with multiple MCP servers, enabling seamless tool access for Claude.
Knowledge And Memory
A Next.js-based chat interface connecting to MCP servers with tool-calling and styled UI.
A Spring Boot-based MCP client demonstrating how to handle chat requests and responses in a robust application.
Spring Boot app providing REST API for AI inference and knowledge base management with language model integration.
A server that executes AppleScript commands, providing full control over macOS automations remotely.
An MCP server for managing notes with features like viewing, adding, deleting, and searching notes in Claude Desktop.
Fetches latest knowledge from deepwiki.com, converts pages to Markdown, and provides structured or single document outputs.
A client library enabling SSE-based real-time interaction with Notion MCP servers through a local setup.
Provides long-term memory for LLMs by storing and retrieving contextual information via MCP standards.
A straightforward client for managing and building MCP (Model Context Protocol) communications efficiently.
A server that queries Solana transactions via natural language using the Solscan API, simplifying blockchain interactions.