Open RAG on Demand - Bridging AI clients with shared, intelligent memory
OpenROD democratizes AI memory sharing by creating an open-source ecosystem where different AI clients can seamlessly share context, knowledge, and memories. We believe that AI should be more powerful when it can remember, learn, and share insights across different applications and platforms.
A revolutionary MCP server that enables AI clients like Claude Desktop and Cursor to share persistent memory through vector databases and intelligent tagging systems.
Seamless connectivity between your favorite AI tools, creating a unified knowledge layer that grows smarter with every interaction.
Complete control over your data with local deployment options, ensuring your sensitive information never leaves your environment.
Our flagship MCP server built with Java, Spring Boot, and Spring AI. Provides the foundational memory sharing infrastructure.
Features:
- 🔄 Multi-client memory synchronization
- 🏷️ Intelligent tagging and categorization
- 🔍 Semantic search powered by vector embeddings
- 🌐 RESTful API and web management interface
- 🐳 Docker-first deployment strategy
Ready-to-use client libraries for seamless integration with popular AI applications.
Comprehensive guides, API documentation, and tutorials for developers and users.
Get OpenROD running in under 5 minutes:
git clone https://github.com/Open-ROD/openrod.git
cd openrod
docker-compose up -d🌐 Web UI: http://localhost:8080
⚡ API: http://localhost:3000
📖 Full Guide: Installation Documentation
- 🐛 Report Issues: Found a bug? Let us know!
- 💻 Code Contributions: Java, Spring, AI, Docker - we welcome all skills
- 📝 Documentation: Help us improve our guides and tutorials
- 🎨 Design & UX: Make OpenROD more user-friendly
- 🧪 Testing: Help us ensure reliability across different environments
- 💬 Community Support: Answer questions and help fellow developers
- 📖 Read our Contributing Guide
- 🔍 Browse Good First Issues
- 🚀 Make your first pull request!
🎯 Roadmap Highlights:
- ✅ Core MCP server functionality
- ✅ Vector database integration
- ✅ Web management interface
- 🔄 Plugin system for custom processors
- 🔄 Multi-user support with RBAC
- 📋 Mobile management app
- 📋 Cloud deployment options
- 📋 Advanced analytics dashboard
Our Amazing Contributors
Building the future of AI memory, one commit at a time
Community Leaders
Fostering discussion, providing support, and sharing knowledge
Early Adopters
Providing valuable feedback and real-world testing
🌐 Website: openrod.org
📧 Email: hello@openrod.org
📚 Documentation: docs.openrod.org
🐙 GitHub: @Open-ROD
Together, we're making AI memory sharing accessible to everyone.
Licensed under Apache 2.0 • Made with ❤️ by the OpenROD community