7.9 KiB
Phase 2 → Phase 3 Transition
Date: October 6, 2025, 11:20pm UTC+01:00
Status: Ready to Begin Phase 3 🚀
✅ Phase 2 Complete - Summary
What We Accomplished
Core Features (6/6 Complete)
- ✅ Conversation Management - Save, load, export conversations
- ✅ Advanced Message Formatting - Markdown, code highlighting, diagrams
- ✅ Text-to-Speech - ElevenLabs + browser fallback
- ✅ Speech-to-Text - Web Speech API with 25+ languages
- ✅ File Attachments - Images, PDFs, code files
- ✅ System Integration - Global hotkey, tray icon, notifications
Production Enhancements (Latest Session)
- ✅ TTS Playback Fixes - Reliable audio on first click
- ✅ Audio Caching System - Instant replay, cost savings
- ✅ Chat Persistence - Sessions never lost
- ✅ Smart Auto-Play - Only new messages trigger playback
- ✅ Audio Management - User control over storage
Key Stats
- Version: v0.2.1
- Files Created: 21
- Features: 6 major + 5 enhancements
- Lines of Code: ~6,000+
- Status: Production Ready ✅
🎯 Phase 3 Preview - Knowledge & Memory
Vision
Transform EVE from a conversational assistant into an intelligent knowledge companion that:
- Remembers past conversations (long-term memory)
- Manages personal documents (document library)
- Generates and analyzes images (vision capabilities)
- Accesses real-time information (web search)
Core Features (4 Major Systems)
1. Long-Term Memory 🧠
Priority: Critical
Time: 8-10 hours
What It Does:
- Vector database for semantic search
- Remember facts, preferences, and context
- Knowledge graph of relationships
- Automatic memory extraction
User Benefit: EVE remembers everything across sessions and can recall relevant information contextually.
Tech Stack:
- ChromaDB (vector database)
- OpenAI Embeddings API
- SQLite for metadata
- D3.js for visualization
2. Document Library 📚
Priority: High
Time: 6-8 hours
What It Does:
- Upload and store reference documents
- Full-text search across library
- Automatic summarization
- Link documents to conversations
User Benefit: Central repository for reference materials, searchable and integrated with AI conversations.
Tech Stack:
- Tauri file system
- SQLite FTS5 (full-text search)
- PDF/DOCX parsers
- Embedding for semantic search
3. Vision & Image Generation 🎨
Priority: High
Time: 4-6 hours
What It Does:
- Generate images from text (DALL-E 3)
- Analyze uploaded images (GPT-4 Vision)
- OCR text extraction
- Image-based conversations
User Benefit: Create visuals, analyze images, and have visual conversations with EVE.
Tech Stack:
- OpenAI DALL-E 3 API
- OpenAI Vision API
- Image storage system
- Gallery component
4. Web Access 🌐
Priority: Medium
Time: 6-8 hours
What It Does:
- Real-time web search
- Content extraction and summarization
- News aggregation
- Fact-checking
User Benefit: EVE can access current information, news, and verify facts in real-time.
Tech Stack:
- Brave Search API
- Mozilla Readability
- Cheerio (HTML parsing)
- Article summarization
🚀 Getting Started with Phase 3
Prerequisites
- ✅ Phase 2 Complete
- ✅ All bugs fixed
- ✅ Production-ready baseline
First Steps
- Set up ChromaDB - Vector database for memories
- OpenAI Embeddings - Text embedding pipeline
- Memory Store - State management
- Basic UI - Memory search interface
Implementation Order
Week 1: Memory Foundation
└─> Vector DB → Embeddings → Storage → Search UI
Week 2: Documents & Vision
└─> Document Parser → Library UI → Vision API → Image Gen
Week 3: Web & Polish
└─> Web Search → Content Extract → Testing → Docs
📊 Comparison: Phase 2 vs Phase 3
| Aspect | Phase 2 | Phase 3 |
|---|---|---|
| Focus | Enhanced interaction | Knowledge & memory |
| Complexity | Medium | High |
| Features | 6 major | 4 major systems |
| Time | ~30 hours | ~24-30 hours |
| APIs | OpenRouter, ElevenLabs | +OpenAI Vision, Embeddings, Brave |
| Storage | localStorage, audio cache | +Vector DB, documents, images |
| User Impact | Better conversations | Smarter assistant |
🎓 Key Differences
Phase 2: Enhanced Capabilities
- Focused on interaction methods (voice, files, formatting)
- Stateless - Each conversation independent
- Reactive - Responds to current input
- Session-based - No cross-session knowledge
Phase 3: Knowledge & Memory
- Focused on intelligence (memory, documents, vision, web)
- Stateful - Remembers across sessions
- Proactive - Can reference past knowledge
- Long-term - Builds knowledge over time
💡 What This Means for Users
Before Phase 3
- EVE is a powerful conversational interface
- Each conversation is isolated
- No memory of past interactions
- Limited to text and uploaded files
- No real-time information
After Phase 3
- EVE becomes a knowledge companion
- Remembers everything relevant
- Can reference documents and past conversations
- Can see images and generate visuals
- Has access to current information
Example Scenarios:
Memory:
User: "Remember that I prefer Python over JavaScript"
EVE: "I'll remember that!"
[Later, different session]
User: "Which language should I use for this project?"
EVE: "Based on what I know about your preferences (you prefer Python)..."
Documents:
User: "What did the contract say about payment terms?"
EVE: [Searches document library] "According to contract.pdf page 5..."
Vision:
User: "Create an image of a futuristic cityscape"
EVE: [Generates image] "Here's the image. Would you like me to modify it?"
Web:
User: "What's the latest news about AI regulations?"
EVE: [Searches web] "Here are the top 3 recent developments..."
🛠️ Technical Readiness
What We Have
✅ Robust Tauri backend
✅ Clean state management (Zustand)
✅ OpenRouter integration
✅ File handling system
✅ Persistent storage
✅ Professional UI components
What We Need
🔨 Vector database (ChromaDB)
🔨 SQLite integration
🔨 OpenAI Embeddings API
🔨 Vision API clients
🔨 Web scraping tools
🔨 New UI components (graphs, galleries)
📝 Success Criteria
Phase 3 is complete when:
- EVE remembers facts from past conversations
- Semantic search works across all history
- Documents can be uploaded and referenced
- Images can be generated and analyzed
- Web information is accessible in chat
- All features have UIs
- Performance meets targets
- Documentation is complete
🎉 The Journey So Far
v0.1.0 → v0.2.1
- From basic chat to multi-modal assistant
- From 1 feature to 11 major features
- From 2,000 to 6,000+ lines of code
- From simple UI to professional desktop app
v0.2.1 → v0.3.0 (Upcoming)
- From conversational to knowledge companion
- From session-based to long-term memory
- From text-only to multi-modal (text + vision + web)
- From reactive to contextually aware
🚦 Ready to Start?
Phase 3, Feature 1: Long-Term Memory
First task: Set up ChromaDB and create embedding pipeline
Steps:
- Install ChromaDB:
npm install chromadb - Create vector database service
- Set up OpenAI Embeddings API
- Create memory store
- Build basic search UI
Expected outcome: EVE can store message embeddings and search semantically.
Time estimate: 2-3 hours for initial setup
🎯 Let's Begin!
Phase 3 will take EVE to the next level. Ready when you are! 🚀
Current Version: v0.2.1
Target Version: v0.3.0
Status: Phase 2 Complete ✅ | Phase 3 Ready 🚀
Last Updated: October 6, 2025, 11:20pm UTC+01:00