Turn Cloudflare R2 into your personal AI memory bank
Store, sync, and access AI contexts from anywhere in the world with military-grade encryption and zero egress fees.
CloudContext is a secure, distributed AI context storage service built on Cloudflare's global infrastructure. It enables AI applications and users to maintain persistent, encrypted context across sessions and devices, solving the fundamental problem of AI memory limitations.
Modern AI assistants lose context between conversations, forcing users to repeatedly provide background information. CloudContext bridges this gap by creating a persistent, secure memory layer that:
- Preserves Context: Maintain conversation history and user preferences across sessions
- Enables Continuity: Pick up where you left off on any device, anywhere
- Scales Globally: Leverage Cloudflare's 330+ edge locations for low-latency access
- Ensures Privacy: Your data is encrypted end-to-end with AES-256-GCM
- AI Assistants: Maintain conversation context and user preferences
- Development Tools: Store project context and coding patterns
- Research Applications: Preserve research notes and findings
- Multi-device Workflows: Sync AI contexts across desktop, mobile, and web
- 🌍 Global Access - Available from 330+ Cloudflare edge locations worldwide
- 🔐 Military-grade Security - AES-256-GCM encryption with client-side key management
- 📱 Multi-device Sync - Automatic conflict resolution and real-time synchronization
- 📚 Version History - Track changes and rollback to previous context states
- 💰 Cost Effective - Zero egress fees with Cloudflare R2 storage
- ⚡ Lightning Fast - Edge caching for sub-100ms response times
- 🔄 Automatic Backups - Redundant storage across multiple regions
- 🛡️ Zero Trust Architecture - End-to-end encryption, server never sees plaintext
Deploy your own CloudContext instance in under 2 minutes:
curl -sSL https://raw.githubusercontent.com/MaTriXy/CloudContext/main/setup.sh | bash- API Reference - Complete API documentation
- Client Libraries - JavaScript and Python clients
- Examples - Integration examples and use cases
We welcome contributions! See CONTRIBUTING.md for guidelines.
This project is licensed under the MIT License - see the LICENSE file for details.