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I built an open-source, zero-telemetry local AI proxy daemon for absolute data sovereignty

Hey everyone! 👋 Like many developers, I love experimenting with local AI and custom workflows, but I got tired of worrying about data leaks, cloud telemetry, and being locked into a single AI app or vendor ecosystem. So, I built and open-sourced the Garza Global Graviton (GGG) Sovereign Edge Daemon - a single, self-contained background daemon designed for absolute data sovereignty.

What It Does

GGG runs locally on your machine as an OpenAI-compatible loopback proxying endpoint (http://127.0.0.1:11834).

  • Zero Telemetry / Air-Gapped: No accounts, no cloud dependencies, and zero tracking code by construction. Your prompts, history, and context vaults never leave your hardware.
  • Sovereign Math Framework: Features a metadata pacer and HMAC-SHA256 cryptographic response branding to ensure data integrity.
  • Bring Your Own AI (BYOAI): Because it speaks a standard API shape, you can hook it up to any compatible tool-like VS Code (Continue), Open WebUI, LM Studio, or Jan-and your data stays portable.
  • Zero-Code Quick Start: It includes plain-English guidance and copy-pasteable setup prompts so non-technical users can secure their local AI pipelines in minutes.

Quick Example (Python SDK)

If you want to plug it into custom scripts or web UIs, it's just standard OpenAI configuration pointing to the local loopback:

from openai import OpenAI

client = OpenAI(
    base_url="http://127.0.0.1:11834/v1",
    api_key="ggg-local"  # loopback proxy token
)

response = client.chat.completions.create(
    model="ggg-local-sovereign",
    messages=[{"role": "user", "content": "Hello from behind the sovereign gate."}]
)

print(response.choices[0].message.content)

Check It Out

I'd love for folks to check out the architecture, run it locally, and share feedback or pull requests! What are you using for your local AI workflows right now?

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