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Under the Hood: The Engineering of Decosmic

Technical deep dive into the architecture, stack, and decisions behind our local-first AI infrastructure.

The Stack: Performance Meets Privacy

We are building on a modern, high-performance stack designed for the local-first era:

  • Rust: For the core logic and backend. Rust gives us memory safety and blazing fast performance without the overhead of garbage collection.
  • Tauri: For the application shell. Unlike Electron, which bundles a whole browser, Tauri relies on the OS's native webview, resulting in tiny binary sizes and lower memory usage.
  • React: For the frontend UI, ensuring a reactive and smooth user experience.

    • Why Local-First?

    "Local-first" isn't just a buzzword; it's an architectural requirement for privacy.

  • Data Sovereignty: Your data stays on your device. We don't store your documents, screen context, or audio logs.
  • Offline Capability: The AI works where you work, even without an internet connection.
  • Latency: Processing locally eliminates network round-trips for immediate feedback.

    • RAG & Context Awareness

    We use advanced Retrieval-Augmented Generation (RAG) techniques running locally. The system indexes your documents and context into a local vector store. When you ask a question, we retrieve relevant chunks and feed them to the local LLM (or your own API key if you choose cloud models), ensuring the AI is grounded in your reality.

    This architecture allows us to deliver the power of agents like Decosmic was originally envisioned, but with the security and privacy of a local desktop app.