mythic-lite 0.1.1

A lightweight, local AI chatbot system with text-to-speech capabilities

Mythic-Lite

🪄 What is Mythic? (the non-boring version)

Mythic is my playground for weird AI ideas.
Think: Roblox clowns, cursed TikTok experiments, and NPCs with emotional damage.

Yes, it’s half-baked. But half-baked on purpose.
Runs locally, talks back, and might roast you if you let it.

Right now it’s roleplaying as a 19th-century mercenary who talks funny.

🚀 Features

• Local AI Processing: Run completely offline using local LLM models
• Text-to-Speech: Natural voice synthesis with customizable voices
• Speech Recognition: Lightweight offline ASR system using Vosk for voice input
• Conversation Memory: Intelligent conversation management with automatic summarization
• Beautiful CLI Interface: Modern, intuitive command-line interface with rich output
• Modular Architecture: Separate workers for LLM, TTS, ASR, and summarization tasks
• Rich Logging: Comprehensive logging with configurable output formats
• Environment Configuration: Flexible configuration via environment variables
• Automated Setup: One-click environment setup with virtual environment and dependencies

🏗️ Architecture

Mythic-Lite uses a modular architecture with specialized workers:

• Chatbot Orchestrator: Coordinates all components and manages conversation flow
• LLM Worker: Handles language model inference and text generation
• TTS Worker: Manages text-to-speech synthesis
• ASR Worker: Handles automatic speech recognition for voice input
• Summarization Worker: Handles conversation summarization for memory management
• Conversation Worker: Manages conversation state and memory

📋 Requirements

• Python 3.8+
• Windows 10/11, Linux (Ubuntu 18.04+), or macOS 10.15+
• At least 8GB RAM (16GB+ recommended)
• Sufficient storage for model files (~4-8GB)
• Audio input/output capabilities

📁 Project Structure

mythic-lite/
├── src/mythic_lite/          # Main package source code
│   ├── core/                 # Core components (orchestrator, config, etc.)
│   ├── workers/              # Specialized AI workers (LLM, TTS, ASR, etc.)
│   ├── utils/                # Utilities (CLI, logging, etc.)
│   └── scripts/              # Setup and utility scripts
├── tests/                    # Test suite
├── docs/                     # Documentation
├── examples/                 # Usage examples
├── scripts/                  # Installation and startup scripts
├── pyproject.toml           # Modern Python packaging configuration
├── requirements.txt          # Runtime dependencies
├── requirements-dev.txt      # Development dependencies
└── README.md                # This file