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 🚀
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
- Open your project folder workspace inside VS Code.
- Click on the double speech bubble HDFA Core AI icon button located on your far-left Activity Bar.
- Your interactive side panel will instantly initialize, safely rehydrate your local code snapshot, and open a secure, sandboxed port connection automatically.
- Type any architectural query or functional keyword block (e.g.,
useStateorhandleLogin) 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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