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A non-gradient, cache-native Hyper-Dimensional Fluid Automaton AI core for ultra-low-energy code synthesis.

Project description

HDFA Core v5.0.0 — Privacy-First Desktop Sandbox AI Chat 🚀

DOI

An ultra-lightweight, zero-cloud software intelligence tool driven completely by Hyperdimensional Computing (HDC) [0.1.2, 0.2]. Unlike resource-heavy generative models, this framework compresses an entire production software system into an ultra-lean 1MB spatial vector map executing entirely on local CPU cache lines [0.1.2, 0.2]. Query, audit, and auto-discover repository structures in under 5 milliseconds with zero token overhead and zero data leaks [0.1.2, 0.2].


🧱 Key Features

  • Dynamic Workspace Sandbox Isolation: Fully decoupled multi-window runtime engine executing over randomized Node-to-Python port configurations natively to prevent process context cross-talk.
  • High-Resolution Vector Knowledge Base: Stream-optimized line extraction training loops that keep laptop RAM overhead flat under 1% while archiving 8,714 precise repository signatures.
  • Low-Latency Fuzzy Search Core: Localized character n-gram encoding loops computing hyperdimensional vector dot products in under 5ms on standard consumer CPUs [0.1.2, 0.2].
  • Air-Gapped Operational Compliance: Operates entirely offline with zero network requests, making it completely safe for proprietary, financial, or secure networks.

📦 Rapid Installation

1. Download the Python Core Backend Engine

Install the distributed mathematics package natively via PyPI:

pip install hdfa-core

2. Install the VS Code Client App

Search for "HDFA Core Chat Assistant" inside the official Microsoft Extensions Marketplace panel and click Install [0.1.2, 0.2].


🏎️ Quick Start Workflow

1. Ingest Your Codebase (Run Once Per Project)

Open your terminal window directly inside your target codebase directory (e.g., a React or Python workspace) and trigger the low-RAM streaming aggregator:

hdfa-train

This scans your local files line-by-line and drops a highly precise text trajectory snapshot file (codebase_brain.pt) into your folder root [0.1.2, 0.2].

2. Launch the Ecosystem Sidebar Panel Chat

  1. Open your project folder workspace inside VS Code.
  2. Click on the double speech bubble HDFA Core AI icon button located on your far-left Activity Bar.
  3. Your interactive side panel will instantly initialize, safely rehydrate your local code snapshot, and open a secure, sandboxed port connection automatically.
  4. Type any architectural query or functional keyword block (e.g., useState or handleLogin) inside the prompt feed container and click Send to receive matching structural contexts instantly [0.1.2, 0.2]!

🛡️ License

Distributed under the Apache License 2.0. Permanently locked into open-source scientific history under academic Zenodo DOI Reference Tracking [0.2].

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