Open-source philosophy

Built for real use. Shared when reusable.

Tools built to solve real infrastructure, security, and data problems, then released when the solution proved useful beyond its original environment.

The compact

What you should be able to expect

01

Self-hosted by default

The operator owns the runtime, data, and upgrade window.

02

Private by design

Useful defaults minimize unnecessary exposure and outside custody.

03

Opinionated over universal

A clear use case is more useful than a promise to fit every one.

04

Practical over theoretical

Installation, failure modes, and diagnostics shape the design.

05

Strong diagnostics

The system should say what it knows, what failed, and why.

06

Honest scope

Limitations are documented clearly rather than hidden as surprises.

Available source

Projects you can inspect and run

AutoRMM, SecWatch, and GlucoPilot are public. TensorBreeze is currently private while its architecture matures, with an open-source release planned.

ActiveOpen source

Fleet operations

AutoRMM

Self-hosted monitoring and remote access for mixed Windows and Linux fleets.

A lightweight RMM built as three dependency-free Go binaries: an always-on hub, outbound agents, and a client for monitoring and short-lived remote sessions.

  • Go
  • WebSocket
  • Linux
  • Windows
  • Canvas
ActiveOpen source

Security visibility

SecWatch

Practical self-hosted security monitoring without a giant enterprise stack.

One readable tool for edge detection, auto-ban, host visibility, CVE awareness, file integrity, and optional local-model traffic analysis.

  • Python
  • SQLite
  • Traefik / nginx / Caddy
  • CVE intelligence
ActiveOpen source

Private health intelligence

GlucoPilot

Fragmented personal health data becomes one coherent analytical system.

A self-hosted, single-user platform that unifies Type 1 diabetes data, wearables, labs, symptoms, and treatment history—then makes the evidence explorable.

  • FastAPI
  • React
  • SQLite
  • Docker
  • Local AI

Responsible scope

Open does not mean careless.

Public material uses synthetic or sanitized data and excludes customer information, credentials, private topology, and proprietary business logic.