Mai/.planning/ROADMAP.md

Mai Project Roadmap

Overview

Mai's development is organized into three major milestones, each delivering distinct capabilities while building toward the full vision of an autonomous, self-improving AI agent.

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v1.0 Core - Foundation Systems

Goal: Establish core AI agent infrastructure with local model support, safety guardrails, and conversational foundation.

Phase 1: Model Interface & Switching

• Connect to LMStudio for local model inference
• Auto-detect available models in LMStudio
• Intelligently switch between models based on task and availability
• Manage model context efficiently (conversation history, system prompt, token budget)

Plans: 3 plans in 2 waves

• 01-01-PLAN.md — LM Studio connectivity and resource monitoring foundation
• 01-02-PLAN.md — Conversation context management and memory system
• 01-03-PLAN.md — Intelligent model switching integration

Phase 2: Safety & Sandboxing

• Implement sandbox execution environment for generated code
• Multi-level security assessment (LOW/MEDIUM/HIGH/BLOCKED)
• Audit logging with tamper detection
• Resource-limited container execution

Phase 3: Resource Management

• Detect available system resources (CPU, RAM, GPU)
• Select appropriate models based on resources
• Request more resources when bottlenecks detected
• Graceful scaling from low-end hardware to high-end systems

Phase 4: Memory & Context Management

• Store conversation history locally (file-based or lightweight DB)
• Recall past conversations and learn from them
• Compress memory as it grows to stay efficient
• Distill long-term patterns into personality layers
• Proactively surface relevant context from memory

Phase 5: Conversation Engine

• Multi-turn context preservation
• Reasoning transparency and clarifying questions
• Complex request handling with task breakdown
• Natural timing and human-like response patterns

Milestone v1.0 Complete: Mai has a working local foundation with models, safety, memory, and natural conversation.

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v1.1 Interfaces & Intelligence

Goal: Add interaction interfaces and self-improvement capabilities to enable Mai to improve her own code.

Phase 6: CLI Interface

• Command-line interface for direct terminal interaction
• Session history persistence
• Resource usage and processing state indicators
• Approval integration for code changes

Phase 7: Self-Improvement System

• Analyze own code to identify improvement opportunities
• Generate code changes (Python) to improve herself
• AST validation for syntax/import errors
• Second-agent review for safety and breaking changes
• Auto-apply non-breaking improvements after review

Phase 8: Approval Workflow

• User approval via CLI and Dashboard
• Second reviewer (agent) checks for breaking changes
• Dashboard displays pending changes with reviewer feedback
• Real-time approval status updates

Phase 9: Personality System

• Unshakeable core personality (values, tone, boundaries)
• Personality applied through system prompt + behavior config
• Learn and adapt personality layers based on interactions
• Agency and refusal capabilities for value violations
• Values-based guardrails to prevent misuse

Phase 10: Discord Interface

• Discord bot for conversation and approval notifications
• Direct message and channel support with context preservation
• Approval reactions (thumbs up/down for changes)
• Fallback to CLI when Discord unavailable
• Retry mechanism if no response within 5 minutes

Milestone v1.1 Complete: Mai can improve herself safely with human oversight and communicate through Discord.

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v1.2 Presence & Mobile

Goal: Add visual presence, voice capabilities, and native mobile support for rich cross-device experience.

Phase 11: Offline Operations

• Full offline functionality (all inference, memory, improvement local)
• Discord connectivity optional with graceful degradation
• Message queuing when offline, send when reconnected
• Smaller models available for tight resource scenarios

Phase 12: Voice Visualization

• Real-time visualization of audio input during voice conversations
• Low-latency waveform/frequency display
• Visual feedback for speech detection and processing
• Works on both desktop and Android

Phase 13: Desktop Avatar

• Visual representation using static image or VRoid model
• Avatar expressions respond to conversation context (mood/state)
• Efficient rendering on RTX3060 and mobile devices
• Customizable appearance (multiple models or user-provided image)

Phase 14: Android App

• Native Android app with local model inference
• Standalone operation (works without desktop instance)
• Voice input/output with low-latency processing
• Avatar and visualizer integrated in mobile UI
• Efficient resource management for battery and CPU

Phase 15: Device Synchronization

• Sync conversation history and memory with desktop
• Synchronized state without server dependency
• Conflict resolution for divergent changes
• Efficient delta-based sync protocol

Milestone v1.1 Complete: Mai has visual presence and works seamlessly across desktop and Android devices.

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Phase Dependencies & Execution Path

v1.0 Core (Phases 1-5)
  ↓
v1.1 Interfaces (Phases 6-10)
  ├─ Parallel: Phase 6 (CLI), Phase 7-8 (Self-Improvement), Phase 9 (Personality)
  └─ Then: Phase 10 (Discord)
  ↓
v1.2 Presence (Phases 11-15)
  ├─ Parallel: Phase 11 (Offline), Phase 12 (Voice Viz)
  ├─ Then: Phase 13 (Avatar)
  ├─ Then: Phase 14 (Android)
  └─ Finally: Phase 15 (Sync)

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Success Criteria by Milestone

v1.0 Core ✓

• Local models working via LMStudio
• Sandbox for safe code execution
• Memory persists and retrieves correctly
• Natural conversation flow maintained
• Next: Move to v1.1

v1.1 Interfaces

• CLI interface fully functional
• Self-improvement system generates valid changes
• Second-agent review prevents unsafe changes
• Discord bot responds to commands and approvals
• Personality system maintains core values
• Next: Move to v1.2

v1.2 Presence

• Full offline operation validated
• Voice visualization renders in real-time
• Avatar responds appropriately to conversation
• Android app syncs with desktop
• All features work on mobile
• Release: v1.0 complete

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Constraints & Considerations

• Hardware baseline: Must run on RTX3060 (desktop) and modern Android devices (2022+)
• Offline-first: All core functionality works without internet
• Local models only: No cloud APIs for core inference
• Safety critical: Second-agent review on all changes
• Git tracked: All modifications version-controlled
• Python venv: All dependencies in .venv

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Key Metrics

• Total Requirements: 99 (mapped across 15 phases)
• Core Infrastructure: Phases 1-5
• Interface & Intelligence: Phases 6-10
• Visual & Mobile: Phases 11-15
• Coverage: 100% of requirements

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Roadmap created: 2026-01-26 Based on fresh planning with Android, visualizer, and avatar features