What You’ll Build
A personal AI assistant that:- Remembers user preferences (dietary restrictions, work schedule, communication style)
- Learns from conversations and improves responses over time
- Maintains context across multiple chat sessions
- Provides personalized recommendations based on user history
- Handles multiple conversation topics while maintaining context
Prerequisites
- Node.js 18+ or Python 3.8+
- Supermemory API key
- OpenAI or Anthropic API key
- Basic understanding of chat applications
Implementation
Step 1: Project Setup
.env.local
Step 2: Core Assistant Logic
app/api/chat/route.ts
Step 3: Frontend Interface
app/page.tsx
Testing Your Assistant
Step 4: Test Memory Formation
Try these conversation flows to test memory capabilities:-
Personal Preferences:
-
Dietary & Lifestyle:
-
Work Context:
Step 5: Verify Memory Storage
Check that memories are being stored properly:scripts/check-memories.ts
Production Considerations
Security & Privacy
-
User Isolation:
-
Memory Encryption:
Performance Optimization
-
Memory Search Optimization:
-
Caching Strategy:
Monitoring & Analytics
Extensions & Customization
1. Add Personality Profiles
2. Smart Notifications
3. Multi-Modal Memory
Next Steps
- Scale to multiple users: Add user authentication and proper isolation
- Add voice interaction: Integrate with speech-to-text/text-to-speech APIs
- Mobile app: Create React Native or Flutter mobile version
- Integrations: Connect to calendar, email, task management tools
- Advanced AI features: Add emotion detection, conversation summarization
Troubleshooting
Memory not persisting?- Check that
x-sm-user-id
header is consistent - Verify API key has write permissions
- Ensure container tags are properly set
- Increase search limit to find more relevant memories
- Lower threshold to cast a wider net
- Check that memories are being added with proper context
- Reduce search limits for faster responses
- Implement caching for frequent searches
- Use appropriate thresholds to balance speed vs accuracy
This recipe provides the foundation for a personal AI assistant. Customize it based on your specific needs and use cases.