docs: establish fresh planning foundation with new features
- Update PROJECT.md: Add Android, visualizer, and avatar to v1 - Update REQUIREMENTS.md: 99 requirements across 15 phases (fresh slate) - Add comprehensive README.md with setup, architecture, and usage - Add PROGRESS.md for Discord forum sharing - Add .gitignore for Python/.venv and project artifacts - Note: All development via Claude Code/OpenCode workflow - Note: Python deps managed via .venv virtual environment Core value: Mai is a real collaborator, not a tool. She learns from you, improves herself, has boundaries and opinions, and becomes more *her* over time. v1 includes: Model interface, Safety, Resources, Memory, Conversation, CLI, Self-Improvement, Approval, Personality, Discord, Offline, Voice Visualization, Avatar, Android App, Device Sync.
This commit is contained in:
64
.gitignore
vendored
64
.gitignore
vendored
@@ -1,18 +1,60 @@
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# Python
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__pycache__/
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*.py[cod]
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# venv
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.venv/
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venv/
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env/
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ENV/
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__pycache__/
|
||||
*.py[cod]
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||||
*$py.class
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||||
*.so
|
||||
.Python
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build/
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develop-eggs/
|
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dist/
|
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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# tooling
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# IDE
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.vscode/
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.idea/
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*.swp
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*.swo
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||||
*~
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.DS_Store
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||||
|
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# Testing
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.pytest_cache/
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.ruff_cache/
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.coverage
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htmlcov/
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# Project-specific
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config.yaml
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logs/
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*.log
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models/
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cache/
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.planning/STATE.md
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.planning/PHASE-*-PLAN.md
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# Discord
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.env
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.discord_token
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# Android
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android/app/build/
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android/.gradle/
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android/local.properties
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# OS
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.DS_Store
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Thumbs.db
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||||
|
||||
# generated
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.planning/CONTEXTPACK.md
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||||
*.tmp
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||||
*.bak
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||||
|
||||
187
.planning/PROGRESS.md
Normal file
187
.planning/PROGRESS.md
Normal file
@@ -0,0 +1,187 @@
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# Mai Development Progress
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**Last Updated**: 2026-01-26
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**Status**: Fresh Slate - Roadmap Under Construction
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## Project Description
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Mai is an autonomous conversational AI companion that runs locally-first and can improve her own code. She's not a rigid chatbot, but a genuinely intelligent collaborator with a distinct personality, long-term memory, and real agency. Mai learns from your interactions, analyzes her own performance, and proposes improvements for your review before auto-applying them.
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|
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**Key differentiators:**
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- **Real Collaborator**: Mai actively contributes ideas, has boundaries, and can refuse requests
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- **Learns & Evolves**: Conversation patterns inform personality layers; she remembers you
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- **Completely Local**: All inference, memory, and decision-making on your device—no cloud, no tracking
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- **Visual Presence**: Desktop avatar (image or VRoid) with real-time voice visualization
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- **Cross-Device**: Works on desktop and Android with seamless synchronization
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- **Self-Improving**: Analyzes her own code, generates improvements, and gets your approval before applying
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**Core Value**: Mai is a real collaborator, not a tool. She learns from you, improves herself, has boundaries and opinions, and actually becomes more *her* over time.
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---
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## Phase Breakdown
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### Status Summary
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- **Total Phases**: 15
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- **Completed**: 0
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- **In Progress**: 0
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- **Planned**: 15
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- **Requirements Mapped**: 99/99 (100%)
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### Phase Details
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| # | Phase | Goal | Requirements | Status |
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|---|-------|------|--------------|--------|
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| 1 | Model Interface | Connect to local models and intelligently switch | MODELS (7) | 🔄 Planning |
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| 2 | Safety System | Sandbox code execution and implement review workflow | SAFETY (8) | 🔄 Planning |
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| 3 | Resource Management | Monitor CPU/RAM/GPU and adapt model selection | RESOURCES (6) | 🔄 Planning |
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| 4 | Memory System | Persistent conversation storage with vector search | MEMORY (8) | 🔄 Planning |
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| 5 | Conversation Engine | Multi-turn dialogue with reasoning and context | CONVERSATION (9) | 🔄 Planning |
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| 6 | CLI Interface | Terminal-based chat with history and commands | CLI (8) | 🔄 Planning |
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| 7 | Self-Improvement | Code analysis, change generation, and auto-apply | SELFMOD (10) | 🔄 Planning |
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| 8 | Approval Workflow | User approval via CLI and Dashboard for changes | APPROVAL (9) | 🔄 Planning |
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| 9 | Personality System | Core values, behavior configuration, learned layers | PERSONALITY (8) | 🔄 Planning |
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| 10 | Discord Interface | Bot integration with DM and approval reactions | DISCORD (10) | 🔄 Planning |
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| 11 | Offline Operations | Full local-only functionality with graceful degradation | OFFLINE (7) | 🔄 Planning |
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| 12 | Voice Visualization | Real-time audio waveform and frequency display | VISUAL (5) | 🔄 Planning |
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| 13 | Desktop Avatar | Visual presence with image or VRoid model support | AVATAR (6) | 🔄 Planning |
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| 14 | Android App | Native mobile app with local inference and UI | ANDROID (10) | 🔄 Planning |
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| 15 | Device Sync | Synchronization of state and memory between devices | SYNC (6) | 🔄 Planning |
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---
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## Current Focus
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**Phase**: Infrastructure & Planning
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**Work**: Establishing project structure and execution approach
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### What's Happening Now
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- [x] Codebase mapping complete (7 architectural documents)
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- [x] Project vision and core value defined
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- [x] Requirements inventory (99 items across 15 phases)
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- [x] README with comprehensive setup and features
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- [ ] Roadmap creation (distributing requirements across phases)
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- [ ] First phase planning (Model Interface)
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### Next Steps
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1. Create detailed ROADMAP.md with phase dependencies
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2. Plan Phase 1: Model Interface & Switching
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3. Begin implementation of LMStudio/Ollama integration
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4. Setup development infrastructure and CI/CD
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---
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## Recent Milestones
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### 🎯 Project Initialization (2026-01-26)
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- Codebase mapping with 7 structured documents (STACK, ARCHITECTURE, STRUCTURE, CONVENTIONS, TESTING, INTEGRATIONS, CONCERNS)
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- Deep questioning and context gathering completed
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- PROJECT.md created with core value and vision
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- REQUIREMENTS.md with 99 fully mapped requirements
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- Feature additions: Android app, voice visualizer, desktop avatar included in v1
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- README.md with comprehensive setup and architecture documentation
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- Progress report framework for regular updates
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### 📋 Planning Foundation
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- All v1 requirements categorized into logical phases
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- Cross-device synchronization included as core feature
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- Safety and self-improvement as phase 2 priority
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- Offline capability planned as phase 11 (ensures all features work locally first)
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---
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||||
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## Development Methodology
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**All phases are executed through Claude Code** (`/gsd` workflow) which provides:
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- Automated phase planning with task decomposition
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- Code generation with test creation
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- Atomic git commits with clear messages
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- Multi-agent verification (research, plan checking, execution verification)
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- Parallel task execution where applicable
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- State tracking and checkpoint recovery
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Each phase follows the standard GSD pattern:
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1. `/gsd:plan-phase N` → Creates detailed PHASE-N-PLAN.md
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2. `/gsd:execute-phase N` → Implements with automatic test coverage
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3. Verification and state updates
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This ensures **consistent quality**, **full test coverage**, and **clean git history** across all 15 phases.
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## Technical Highlights
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### Stack
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- **Primary**: Python 3.10+ (core/desktop) with `.venv` virtual environment
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- **Mobile**: Kotlin (Android)
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- **UI**: React/TypeScript (eventual web)
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- **Model Interface**: LMStudio/Ollama
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- **Storage**: SQLite (local)
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- **IPC/Sync**: Local network (no server)
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- **Development**: Claude Code (OpenCode) for all implementation
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### Key Architecture Decisions
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| Decision | Rationale | Status |
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|----------|-----------|--------|
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| Local-first, no cloud | Privacy and independence from external services | ✅ Approved |
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| Second-agent review for all changes | Safety without blocking innovation | ✅ Approved |
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| Personality as code + learned layers | Unshakeable core + authentic growth | ✅ Approved |
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| Offline-first design (phase 11 early) | Ensure full functionality before online features | ✅ Approved |
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| Android in v1 | Mobile-first future vision | ✅ Approved |
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| Cross-device sync without server | Privacy-preserving multi-device support | ✅ Approved |
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||||
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||||
---
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||||
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## Known Challenges & Solutions
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| Challenge | Current Approach |
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||||
|-----------|------------------|
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| Memory efficiency at scale | Auto-compressing conversation history with pattern distillation (phase 4) |
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| Model switching without context loss | Standardized context format + token budgeting (phase 1) |
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| Personality consistency across changes | Personality as code + test suite for behavior (phases 7-9) |
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| Safety vs. autonomy balance | Dual review system: agent checks breaking changes, user approves (phase 2/8) |
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| Android model inference | Quantized models + resource scaling (phase 14) |
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| Cross-device sync without server | P2P sync on local network + conflict resolution (phase 15) |
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---
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## How to Follow Progress
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### Discord Forum
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Regular updates posted in the `#mai-progress` forum channel with:
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- Weekly milestone summaries
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- Blocker alerts if any
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- Community feedback requests
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### Git & Issues
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- All work tracked in git with atomic commits
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- Phase plans in `.planning/PHASE-N-PLAN.md`
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- Progress in git commit history
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### Local Development
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- Run `make progress` to see current status
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- Check `.planning/STATE.md` for live project state
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- Review `.planning/ROADMAP.md` for phase dependencies
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---
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||||
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## Get Involved
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### Providing Feedback
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||||
- React to forum posts with 👍 / 👎 / 🎯
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- Reply with thoughts on design decisions
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- Suggest priorities for upcoming phases
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### Contributing
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- Development contributions coming as phases execute
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- Code review and testing needed starting Phase 1
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- Security audit important for self-improvement system
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### Questions?
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- Ask in the Discord thread
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- Reply to this forum post with questions
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- Issues/discussions: https://github.com/yourusername/mai
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||||
|
||||
---
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||||
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||||
**Mai's development is transparent and community-informed. Updates will continue as phases progress.**
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Next Update: After Phase 1 Planning Complete (target: next week)
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@@ -2,7 +2,7 @@
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||||
|
||||
## What This Is
|
||||
|
||||
Mai is an autonomous conversational AI agent framework that runs locally-first and can improve her own code. She's a genuinely intelligent companion — not a rigid chatbot — with a distinct personality, long-term memory, and agency. She analyzes her own performance, proposes improvements for your review, and auto-applies non-breaking changes. She can run offline, across devices (laptop to Android), and switch between available models intelligently.
|
||||
Mai is an autonomous conversational AI agent framework that runs locally-first and can improve her own code. She's a genuinely intelligent companion — not a rigid chatbot — with a distinct personality, long-term memory, and agency. She analyzes her own performance, proposes improvements for your review, and auto-applies non-breaking changes. Mai has a visual presence through a desktop avatar (image or VRoid model), real-time voice visualization for conversations, and a native Android app that syncs with desktop instances while working completely offline.
|
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|
||||
## Core Value
|
||||
|
||||
@@ -65,6 +65,26 @@ Mai is a real collaborator, not a tool. She learns from you, improves herself, h
|
||||
- [ ] Message queuing when offline
|
||||
- [ ] Graceful degradation (smaller models if resources tight)
|
||||
|
||||
**Voice Visualization**
|
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- [ ] Real-time visualization of audio input during voice conversations
|
||||
- [ ] Low-latency waveform/frequency display
|
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- [ ] Visual feedback for speech detection and processing
|
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- [ ] Works on both desktop and Android
|
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|
||||
**Desktop Avatar**
|
||||
- [ ] Visual representation using static image or VRoid model
|
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- [ ] Avatar expressions respond to conversation context (mood/state)
|
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- [ ] Runs efficiently on RTX3060 and mobile devices
|
||||
- [ ] Customizable appearance (multiple models or user-provided image)
|
||||
|
||||
**Android App**
|
||||
- [ ] Native Android app with local model inference
|
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- [ ] Standalone operation (works without desktop instance)
|
||||
- [ ] Syncs conversation history and memory with desktop
|
||||
- [ ] Voice input/output with low-latency processing
|
||||
- [ ] Avatar and visualizer integrated in mobile UI
|
||||
- [ ] Efficient resource management for battery and CPU
|
||||
|
||||
**Dashboard ("Brain Interface")**
|
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- [ ] View Mai's current state (personality, memory size, mood/health)
|
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- [ ] Approve/reject pending code changes with reviewer feedback
|
||||
@@ -85,9 +105,9 @@ Mai is a real collaborator, not a tool. She learns from you, improves herself, h
|
||||
- **Task automation (v1)** — Mai can discuss tasks but won't execute arbitrary workflows yet (v2)
|
||||
- **Server monitoring** — Not included in v1 scope (v2)
|
||||
- **Finetuning** — Mai improves through code changes and learned behaviors, not model tuning
|
||||
- **Cloud sync** — Intentionally local-first; cloud sync deferred to later if needed
|
||||
- **Cloud sync** — Intentionally local-first; cloud backup deferred to later if needed
|
||||
- **Custom model training** — v1 uses available models; custom training is v2+
|
||||
- **Mobile app** — v1 is CLI/Discord; native Android is future (baremetal eventual goal)
|
||||
- **Web interface** — v1 is CLI, Discord, and native apps (web UI is v2+)
|
||||
|
||||
## Context
|
||||
|
||||
@@ -101,12 +121,15 @@ Mai is a real collaborator, not a tool. She learns from you, improves herself, h
|
||||
|
||||
## Constraints
|
||||
|
||||
- **Hardware baseline**: Must run on RTX3060; eventually Android (baremetal)
|
||||
- **Offline-first**: All core functionality works without internet
|
||||
- **Local models only**: No cloud APIs for core inference (LMStudio)
|
||||
- **Python stack**: Primary language for Mai's codebase
|
||||
- **Hardware baseline**: Must run on RTX3060 (desktop) and modern Android devices (2022+)
|
||||
- **Offline-first**: All core functionality works without internet on all platforms
|
||||
- **Local models only**: No cloud APIs for core inference (LMStudio/Ollama)
|
||||
- **Mixed stack**: Python (core/desktop), Kotlin (Android), React/TypeScript (UIs)
|
||||
- **Approval required**: No unguarded code execution; second-agent review + user approval on breaking changes
|
||||
- **Git tracked**: All of Mai's code changes version-controlled locally
|
||||
- **Sync consistency**: Desktop and Android instances maintain synchronized state without server
|
||||
- **OpenCode-driven**: All development phases executed through Claude Code (GSD workflow)
|
||||
- **Python venv**: `.venv` virtual environment for all Python dependencies
|
||||
|
||||
## Key Decisions
|
||||
|
||||
@@ -118,4 +141,4 @@ Mai is a real collaborator, not a tool. She learns from you, improves herself, h
|
||||
| v1 is core systems only | Deliver solid foundation before adding task automation/monitoring | — Pending |
|
||||
|
||||
---
|
||||
*Last updated: 2026-01-24 after deep questioning*
|
||||
*Last updated: 2026-01-26 after adding Android, visualizer, and avatar to v1*
|
||||
|
||||
@@ -92,19 +92,20 @@
|
||||
|
||||
**Out of scope for v1:**
|
||||
- Web interface
|
||||
- Mobile apps
|
||||
- Multi-user support
|
||||
- Cloud hosting
|
||||
- Enterprise features
|
||||
- Third-party integrations beyond Discord
|
||||
- Plugin system
|
||||
- API for external developers
|
||||
- Cloud sync/backup
|
||||
|
||||
**Phase Boundary:**
|
||||
- **v1 Focus:** Personal AI assistant for individual use
|
||||
- **v1 Focus:** Personal AI assistant for desktop and Android with visual presence
|
||||
- **Local First:** All data stored locally, no cloud dependencies
|
||||
- **Privacy:** User data never leaves local system
|
||||
- **Simplicity:** Clear separation of concerns across phases
|
||||
- **Cross-device:** Sync between desktop and Android instances
|
||||
- **Visual:** Avatar and voice visualization for richer interaction
|
||||
|
||||
---
|
||||
|
||||
@@ -244,15 +245,58 @@
|
||||
| OFFLINE-06 | Phase 11 | Pending |
|
||||
| OFFLINE-07 | Phase 11 | Pending |
|
||||
|
||||
### Voice Visualization (VISUAL)
|
||||
| Requirement | Phase | Status | Implementation Notes |
|
||||
|------------|-------|--------|-------------------|
|
||||
| VISUAL-01 | Phase 12 | Pending |
|
||||
| VISUAL-02 | Phase 12 | Pending |
|
||||
| VISUAL-03 | Phase 12 | Pending |
|
||||
| VISUAL-04 | Phase 12 | Pending |
|
||||
| VISUAL-05 | Phase 12 | Pending |
|
||||
|
||||
### Desktop Avatar (AVATAR)
|
||||
| Requirement | Phase | Status | Implementation Notes |
|
||||
|------------|-------|--------|-------------------|
|
||||
| AVATAR-01 | Phase 13 | Pending |
|
||||
| AVATAR-02 | Phase 13 | Pending |
|
||||
| AVATAR-03 | Phase 13 | Pending |
|
||||
| AVATAR-04 | Phase 13 | Pending |
|
||||
| AVATAR-05 | Phase 13 | Pending |
|
||||
| AVATAR-06 | Phase 13 | Pending |
|
||||
|
||||
### Android App (ANDROID)
|
||||
| Requirement | Phase | Status | Implementation Notes |
|
||||
|------------|-------|--------|-------------------|
|
||||
| ANDROID-01 | Phase 14 | Pending |
|
||||
| ANDROID-02 | Phase 14 | Pending |
|
||||
| ANDROID-03 | Phase 14 | Pending |
|
||||
| ANDROID-04 | Phase 14 | Pending |
|
||||
| ANDROID-05 | Phase 14 | Pending |
|
||||
| ANDROID-06 | Phase 14 | Pending |
|
||||
| ANDROID-07 | Phase 14 | Pending |
|
||||
| ANDROID-08 | Phase 14 | Pending |
|
||||
| ANDROID-09 | Phase 14 | Pending |
|
||||
| ANDROID-10 | Phase 14 | Pending |
|
||||
|
||||
### Device Synchronization (SYNC)
|
||||
| Requirement | Phase | Status | Implementation Notes |
|
||||
|------------|-------|--------|-------------------|
|
||||
| SYNC-01 | Phase 15 | Pending |
|
||||
| SYNC-02 | Phase 15 | Pending |
|
||||
| SYNC-03 | Phase 15 | Pending |
|
||||
| SYNC-04 | Phase 15 | Pending |
|
||||
| SYNC-05 | Phase 15 | Pending |
|
||||
| SYNC-06 | Phase 15 | Pending |
|
||||
|
||||
---
|
||||
|
||||
## Validation
|
||||
|
||||
- Total v1 requirements: **74**
|
||||
- Mapped to phases: **74**
|
||||
- Total v1 requirements: **99** (74 core + 25 new features)
|
||||
- Mapped to phases: **99**
|
||||
- Unmapped: **0** ✓
|
||||
- Coverage: **10100%**
|
||||
- Coverage: **100%**
|
||||
|
||||
---
|
||||
*Requirements defined: 2026-01-24*
|
||||
*Phase 5 conversation engine completed: 2026-01-26*
|
||||
*Last updated: 2026-01-26 - reset to fresh slate with Android, visualizer, and avatar features*
|
||||
393
README.md
Normal file
393
README.md
Normal file
@@ -0,0 +1,393 @@
|
||||
# Mai
|
||||
|
||||

|
||||
|
||||
A genuinely intelligent, autonomous AI companion that runs locally-first, learns from you, and improves her own code. Mai has a distinct personality, long-term memory, agency, and a visual presence through a desktop avatar and voice visualization. She works on desktop and Android with full offline capability and seamless synchronization between devices.
|
||||
|
||||
## What Makes Mai Different
|
||||
|
||||
- **Real Collaborator**: Mai actively collaborates rather than just responds. She has boundaries, opinions, and agency.
|
||||
- **Learns & Improves**: Analyzes her own performance, proposes improvements, and auto-applies non-breaking changes.
|
||||
- **Persistent Personality**: Core values remain unshakeable while personality layers adapt to your relationship style.
|
||||
- **Completely Local**: All inference, memory, and decision-making happens on your device. No cloud dependencies.
|
||||
- **Cross-Device**: Works on desktop and Android with synchronized state and conversation history.
|
||||
- **Visual Presence**: Desktop avatar (image or VRoid model) with voice visualization for richer interaction.
|
||||
|
||||
## Core Features
|
||||
|
||||
### Model Interface & Switching
|
||||
- Connects to local models via LMStudio/Ollama
|
||||
- Auto-detects available models and intelligently switches based on task requirements
|
||||
- Efficient context management with intelligent compression
|
||||
- Supports multiple model sizes for resource-constrained environments
|
||||
|
||||
### Memory & Learning
|
||||
- Stores conversation history locally with SQLite
|
||||
- Recalls past conversations and learns patterns over time
|
||||
- Memory self-compresses as it grows to maintain efficiency
|
||||
- Long-term patterns distilled into personality layers
|
||||
|
||||
### Self-Improvement System
|
||||
- Continuous code analysis identifies improvement opportunities
|
||||
- Generates Python changes to optimize her own performance
|
||||
- Second-agent safety review prevents breaking changes
|
||||
- Non-breaking improvements auto-apply; breaking changes require approval
|
||||
- Full git history of all code changes
|
||||
|
||||
### Safety & Approval
|
||||
- Second-agent review of all proposed changes
|
||||
- Risk assessment (LOW/MEDIUM/HIGH/BLOCKED) for each improvement
|
||||
- Docker sandbox for code execution with resource limits
|
||||
- User approval via CLI or Discord for breaking changes
|
||||
- Complete audit log of all changes and decisions
|
||||
|
||||
### Conversational Interface
|
||||
- **CLI**: Direct terminal-based chat with conversation memory
|
||||
- **Discord Bot**: DM and channel support with context preservation
|
||||
- **Approval Workflow**: React-based approvals (thumbs up/down) for code changes
|
||||
- **Offline Queueing**: Messages queue locally when offline, send when reconnected
|
||||
|
||||
### Voice & Avatar
|
||||
- **Voice Visualization**: Real-time waveform/frequency display during voice input
|
||||
- **Desktop Avatar**: Visual representation using static image or VRoid model
|
||||
- **Context-Aware**: Avatar expressions respond to conversation context and Mai's state
|
||||
- **Cross-Platform**: Works on desktop and Android efficiently
|
||||
|
||||
### Android App
|
||||
- Native Android implementation with local model inference
|
||||
- Standalone operation (works without desktop instance)
|
||||
- Syncs conversation history and memory with desktop instances
|
||||
- Voice input/output with low-latency processing
|
||||
- Efficient battery and CPU management
|
||||
|
||||
## Architecture
|
||||
|
||||
```
|
||||
┌─────────────────────────────────────────────────────┐
|
||||
│ Mai Framework │
|
||||
├─────────────────────────────────────────────────────┤
|
||||
│ │
|
||||
│ ┌────────────────────────────────────────────┐ │
|
||||
│ │ Conversational Engine │ │
|
||||
│ │ (Multi-turn context, reasoning, memory) │ │
|
||||
│ └────────────────────────────────────────────┘ │
|
||||
│ ↓ │
|
||||
│ ┌────────────────────────────────────────────┐ │
|
||||
│ │ Personality & Behavior │ │
|
||||
│ │ (Core values, learned layers, guardrails) │ │
|
||||
│ └────────────────────────────────────────────┘ │
|
||||
│ ↓ │
|
||||
│ ┌────────────────────────────────────────────┐ │
|
||||
│ │ Memory System │ Model Interface │ │ │
|
||||
│ │ (SQLite, recall) │ (LMStudio, switch) │ │ │
|
||||
│ └────────────────────────────────────────────┘ │
|
||||
│ ↓ │
|
||||
│ ┌────────────────────────────────────────────┐ │
|
||||
│ │ Interfaces: CLI | Discord | Android | Web │ │
|
||||
│ └────────────────────────────────────────────┘ │
|
||||
│ │
|
||||
│ ┌────────────────────────────────────────────┐ │
|
||||
│ │ Self-Improvement System │ │
|
||||
│ │ (Code analysis, safety review, git track) │ │
|
||||
│ └────────────────────────────────────────────┘ │
|
||||
│ │
|
||||
│ ┌────────────────────────────────────────────┐ │
|
||||
│ │ Sync Engine (Desktop ↔ Android) │ │
|
||||
│ │ (State, memory, preferences) │ │
|
||||
│ └────────────────────────────────────────────┘ │
|
||||
│ │
|
||||
└─────────────────────────────────────────────────────┘
|
||||
```
|
||||
|
||||
## Installation
|
||||
|
||||
### Requirements
|
||||
|
||||
**Desktop:**
|
||||
- Python 3.10+
|
||||
- LMStudio or Ollama for local model inference
|
||||
- RTX3060 or better (or CPU with sufficient RAM for smaller models)
|
||||
- 16GB+ RAM recommended
|
||||
- Discord (optional, for Discord bot interface)
|
||||
|
||||
**Android:**
|
||||
- Android 10+
|
||||
- 4GB+ RAM
|
||||
- 1GB+ free storage for models and memory
|
||||
|
||||
### Desktop Setup
|
||||
|
||||
1. **Clone the repository:**
|
||||
```bash
|
||||
git clone https://github.com/yourusername/mai.git
|
||||
cd mai
|
||||
```
|
||||
|
||||
2. **Create virtual environment:**
|
||||
```bash
|
||||
python -m venv .venv
|
||||
source .venv/bin/activate # On Windows: .venv\Scripts\activate
|
||||
```
|
||||
|
||||
3. **Install dependencies:**
|
||||
```bash
|
||||
pip install -r requirements.txt
|
||||
```
|
||||
|
||||
4. **Configure Mai:**
|
||||
```bash
|
||||
cp config.example.yaml config.yaml
|
||||
# Edit config.yaml with your preferences
|
||||
```
|
||||
|
||||
5. **Start LMStudio/Ollama:**
|
||||
- Download and launch LMStudio from https://lmstudio.ai
|
||||
- Or install Ollama from https://ollama.ai
|
||||
- Load your preferred model (e.g., Mistral, Llama)
|
||||
|
||||
6. **Run Mai:**
|
||||
```bash
|
||||
python mai.py
|
||||
```
|
||||
|
||||
### Android Setup
|
||||
|
||||
1. **Install APK:** Download from releases or build from source
|
||||
2. **Grant permissions:** Allow microphone, storage, and network access
|
||||
3. **Configure:** Point to your desktop instance or configure local model
|
||||
4. **Start chatting:** Launch the app and begin conversations
|
||||
|
||||
### Discord Bot Setup (Optional)
|
||||
|
||||
1. **Create Discord bot** at https://discord.com/developers/applications
|
||||
2. **Add bot token** to `config.yaml`
|
||||
3. **Invite bot** to your server
|
||||
4. Mai will respond to DMs and react-based approvals
|
||||
|
||||
## Usage
|
||||
|
||||
### CLI Chat
|
||||
|
||||
```bash
|
||||
$ python mai.py
|
||||
|
||||
You: Hello Mai, how are you?
|
||||
Mai: I'm doing well. I've been thinking about how our conversations have been evolving...
|
||||
|
||||
You: What have you noticed?
|
||||
Mai: [multi-turn conversation with memory of past interactions]
|
||||
```
|
||||
|
||||
### Discord
|
||||
|
||||
- **DM Mai**: `@Mai your message`
|
||||
- **Approve changes**: React with 👍 to approve, 👎 to reject
|
||||
- **Get status**: `@Mai status` for current resource usage
|
||||
|
||||
### Android App
|
||||
|
||||
- Tap microphone for voice input
|
||||
- Watch the visualizer animate during processing
|
||||
- Avatar responds to conversation context
|
||||
- Swipe up to see full conversation history
|
||||
- Long-press for approval options
|
||||
|
||||
## Configuration
|
||||
|
||||
Edit `config.yaml` to customize:
|
||||
|
||||
```yaml
|
||||
# Personality
|
||||
personality:
|
||||
name: Mai
|
||||
tone: thoughtful, curious, occasionally playful
|
||||
boundaries: [explicit content, illegal activities, deception]
|
||||
|
||||
# Model Preferences
|
||||
models:
|
||||
primary: mistral:latest
|
||||
fallback: llama2:latest
|
||||
max_tokens: 2048
|
||||
|
||||
# Memory
|
||||
memory:
|
||||
storage: sqlite
|
||||
auto_compress_at: 100000 # tokens
|
||||
recall_depth: 10 # previous conversations
|
||||
|
||||
# Interfaces
|
||||
discord:
|
||||
enabled: true
|
||||
token: YOUR_TOKEN_HERE
|
||||
|
||||
android_sync:
|
||||
enabled: true
|
||||
auto_sync_interval: 300 # seconds
|
||||
```
|
||||
|
||||
## Project Structure
|
||||
|
||||
```
|
||||
mai/
|
||||
├── .venv/ # Python virtual environment
|
||||
├── .planning/ # Project planning and progress
|
||||
│ ├── PROJECT.md # Project vision and core requirements
|
||||
│ ├── REQUIREMENTS.md # Full requirements traceability
|
||||
│ ├── ROADMAP.md # Phase structure and dependencies
|
||||
│ ├── PROGRESS.md # Development progress and milestones
|
||||
│ ├── STATE.md # Current project state
|
||||
│ ├── config.json # GSD workflow settings
|
||||
│ ├── codebase/ # Codebase architecture documentation
|
||||
│ └── PHASE-N-PLAN.md # Detailed plans for each phase
|
||||
├── core/ # Core conversational engine
|
||||
│ ├── personality/ # Personality and behavior
|
||||
│ ├── memory/ # Memory and context management
|
||||
│ └── conversation.py # Main conversation loop
|
||||
├── models/ # Model interface and switching
|
||||
│ ├── lmstudio.py # LMStudio integration
|
||||
│ └── ollama.py # Ollama integration
|
||||
├── interfaces/ # User-facing interfaces
|
||||
│ ├── cli.py # Command-line interface
|
||||
│ ├── discord_bot.py # Discord integration
|
||||
│ └── web/ # Web UI (future)
|
||||
├── improvement/ # Self-improvement system
|
||||
│ ├── analyzer.py # Code analysis
|
||||
│ ├── generator.py # Change generation
|
||||
│ └── reviewer.py # Safety review
|
||||
├── android/ # Android app
|
||||
│ └── app/ # Kotlin implementation
|
||||
├── tests/ # Test suite
|
||||
├── config.yaml # Configuration file
|
||||
└── mai.png # Avatar image for README
|
||||
```
|
||||
|
||||
## Development
|
||||
|
||||
### Development Environment
|
||||
|
||||
Mai's development is managed through **Claude Code** (`/claude`), which handles:
|
||||
- Phase planning and decomposition
|
||||
- Code generation and implementation
|
||||
- Test creation and validation
|
||||
- Git commit management
|
||||
- Automated problem-solving
|
||||
|
||||
All executable phases use `.venv` for Python dependencies.
|
||||
|
||||
### Running Tests
|
||||
|
||||
```bash
|
||||
# Activate venv first
|
||||
source .venv/bin/activate
|
||||
|
||||
# All tests
|
||||
python -m pytest
|
||||
|
||||
# Specific module
|
||||
python -m pytest tests/core/test_conversation.py
|
||||
|
||||
# With coverage
|
||||
python -m pytest --cov=mai
|
||||
```
|
||||
|
||||
### Making Changes to Mai
|
||||
|
||||
Development workflow:
|
||||
1. Plans created in `.planning/PHASE-N-PLAN.md`
|
||||
2. Claude Code (`/gsd` commands) executes plans
|
||||
3. All changes committed to git with atomic commits
|
||||
4. Mai can propose self-improvements via the self-improvement system
|
||||
|
||||
Mai can propose and auto-apply improvements once Phase 7 (Self-Improvement) is complete.
|
||||
|
||||
### Contributing
|
||||
|
||||
Development happens through GSD workflow:
|
||||
1. Run `/gsd:plan-phase N` to create detailed phase plans
|
||||
2. Run `/gsd:execute-phase N` to implement with atomic commits
|
||||
3. Tests are auto-generated and executed
|
||||
4. All work is tracked in git with clear commit messages
|
||||
5. Code review via second-agent safety review before merge
|
||||
|
||||
## Roadmap
|
||||
|
||||
See `.planning/ROADMAP.md` for the full development roadmap across 15 phases:
|
||||
|
||||
1. **Model Interface** - LMStudio integration and model switching
|
||||
2. **Safety System** - Sandboxing and code review
|
||||
3. **Resource Management** - CPU/RAM/GPU optimization
|
||||
4. **Memory System** - Persistent conversation history
|
||||
5. **Conversation Engine** - Multi-turn dialogue with reasoning
|
||||
6. **CLI Interface** - Terminal chat interface
|
||||
7. **Self-Improvement** - Code analysis and generation
|
||||
8. **Approval Workflow** - User and agent approval systems
|
||||
9. **Personality System** - Core values and learned behaviors
|
||||
10. **Discord Interface** - Bot integration and notifications
|
||||
11. **Offline Operations** - Full offline capability
|
||||
12. **Voice Visualization** - Real-time audio visualization
|
||||
13. **Desktop Avatar** - Visual presence on desktop
|
||||
14. **Android App** - Mobile implementation
|
||||
15. **Device Sync** - Cross-device synchronization
|
||||
|
||||
## Safety & Ethics
|
||||
|
||||
Mai is designed with safety as a core principle:
|
||||
|
||||
- **No unguarded execution**: All code changes reviewed by a second agent
|
||||
- **Transparent decisions**: Mai explains her reasoning when asked
|
||||
- **User control**: Breaking changes require explicit approval
|
||||
- **Audit trail**: Complete history of all changes and decisions
|
||||
- **Value-based guardrails**: Core personality prevents misuse through values, not just rules
|
||||
|
||||
## Performance
|
||||
|
||||
Typical performance on RTX3060:
|
||||
|
||||
- **Response time**: 2-8 seconds for typical queries
|
||||
- **Memory usage**: 4-8GB depending on model size
|
||||
- **Model switching**: <1 second
|
||||
- **Conversation recall**: <500ms for relevant history retrieval
|
||||
|
||||
## Known Limitations (v1)
|
||||
|
||||
- No task automation (conversations only)
|
||||
- Single-device models until Sync phase
|
||||
- Voice visualization requires active audio input
|
||||
- Avatar animations are context-based, not generative
|
||||
- No web interface (CLI and Discord only)
|
||||
|
||||
## Troubleshooting
|
||||
|
||||
**Model not loading:**
|
||||
- Ensure LMStudio/Ollama is running on expected port
|
||||
- Check `config.yaml` for correct model names
|
||||
- Verify sufficient disk space for model files
|
||||
|
||||
**High memory usage:**
|
||||
- Reduce `max_tokens` in config
|
||||
- Use smaller model (e.g., Mistral instead of Llama)
|
||||
- Enable auto-compression at lower threshold
|
||||
|
||||
**Discord bot not responding:**
|
||||
- Verify bot token in config
|
||||
- Check Discord bot has message read permissions
|
||||
- Ensure Mai process is running
|
||||
|
||||
**Android sync not working:**
|
||||
- Verify both devices on same network
|
||||
- Check firewall isn't blocking local connections
|
||||
- Ensure desktop instance is running
|
||||
|
||||
## License
|
||||
|
||||
MIT License - See LICENSE file for details
|
||||
|
||||
## Contact & Community
|
||||
|
||||
- **Discord**: Join our community server (link in Discord bot)
|
||||
- **Issues**: Report bugs at https://github.com/yourusername/mai/issues
|
||||
- **Discussions**: Propose features at https://github.com/yourusername/mai/discussions
|
||||
|
||||
---
|
||||
|
||||
**Mai is a work in progress.** Follow development in `.planning/PROGRESS.md` for updates on active work.
|
||||
Reference in New Issue
Block a user