Sage Project Description

What is the project about?

Sage is an open-source project that enables users to interact with large language models (LLMs) using voice commands.

What problem does it solve?

It provides a hands-free, natural language interface for interacting with LLMs, making them more accessible and user-friendly. It removes the need for typing, allowing for a more conversational interaction.

What are the features of the project?

• Open: Utilizes open-source speech processing models.
• Efficient: Designed to run on consumer-grade hardware with low latency.
• Self-hosted: The entire pipeline can operate offline, ensuring privacy and control.
• Modular: Easily switch between different LLM providers by changing environment variables.

What are the technologies used in the project?

• Speech processing models (Whisper, Kokoro).
• Large Language Models (LLMs) via Ollama or third-party providers (Deepseek, OpenAI, Anthropic, Together.ai).
• Onnx for model execution.
• Bun (JavaScript runtime).
• Rust.
• Docker (optional, for easier deployment).
• OpenSSL, LLVM, Clang, CMake (for native builds).

What are the benefits of the project?

• Accessibility: Enables voice-based interaction with LLMs.
• Privacy: Can be run entirely offline.
• Flexibility: Supports multiple LLM providers and self-hosting.
• Efficiency: Optimized for low latency on consumer hardware.
• Open Source: Allows for community contributions and customization.

What are the use cases of the project?

• Hands-free interaction with AI assistants.
• Voice-controlled applications powered by LLMs.
• Voice-based querying of information.
• Natural language interfaces for various tasks.
• Accessibility tool for users who prefer voice input.