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