ContextLens

Ever had Claude or ChatGPT forget everything you just told it? Raindrop Universal Memory Server solves that. It’s a universal memory layer that makes ANY AI assistant remember context across sessions, tools, and even different AI platforms. Think of it as a brain upgrade for AI.

The Innovation:

• First universal memory layer for AI tools using the Model Context Protocol (MCP)
• Solves AI’s “amnesia problem” - context loss between sessions and tools
• Platform-agnostic design: works with Claude, ChatGPT, Cursor, GitHub Copilot, etc.

Creative Technical Choices:

1. Multi-Layered Memory Architecture (Inspired by Human Cognition)

- Working Memory: Active session state via Raindrop Actors  
- Episodic Memory: Conversation history in SmartBuckets  
- Semantic Memory: Knowledge documents with Vector Search  
- Procedural Memory: Skills and templates in KV storage  

This mirrors how human memory actually works, making AI context management more natural.

2. Hybrid Search Strategy

- Combines semantic search (vector embeddings) with keyword search  
- Weighted ranking algorithm balances precision vs. recall  
- Intelligent relevance scoring adapts to query type  

3. Service-Oriented Architecture on Raindrop PaaS

- 17 microservices that auto-scale independently  
- Observer pattern for background processing  
- Message queues for async operations  
- Zero DevOps overhead - pure business logic  

What Makes It Creative:

• ✅ Not just another chatbot - it’s infrastructure
• ✅ Solves horizontal integration (works across ALL tools)
• ✅ Built in 48 hours leveraging Raindrop’s platform capabilities
• ✅ MCP protocol adoption shows forward-thinking (industry standard)

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🛡️ Reliability (Production-Ready & Fault Tolerance)

Production Deployment

Current Status:

• ✅ 17/17 services running on Raindrop PaaS
• ✅ Live URLs (API & MCP gateways publicly accessible)
• ✅ Database migrations completed
• ✅ Vector indexes built and operational
• ✅ Health monitoring active

Waitlist website was created prior, all code of actual product was created during hackathon