SC LABS — Solo Dev Systems

SC LABS

Private AI Systems for Builders, Operators and Independent Teams

A solo-built AI product lab for local-first intelligence, agent workflows, memory systems and practical automation.

Active Prototypes Local-First No Cloud Lock-in
SC LABS — Solo Dev Systems. Local-first AI infrastructure, Rust agent runtimes, developer tools, privacy by design and systems built for the real world.

The foundation behind every SC LABS application.

Local-first infrastructure for AI agents, persistent memory, orchestration, evaluation and focused intelligence applications.

AURON
ACTIVE PROTOTYPE
Local AI Workspace & Mission Control

AURON

A local AI workspace combining chat, agents, memory, tools, model routing, orchestration and controlled execution in one desktop environment.

Mission Control Multi-model Automation
Open platform dossier
AURON VAULT
ACTIVE
Knowledge, Documents & Long-term Memory

AURON VAULT

A private local knowledge and memory layer for AI assistants, structured project context, Obsidian-compatible knowledge and durable retrieval.

Knowledge Graph Retrieval Traceability
Open platform dossier
SC NODE
PUBLIC ALPHA · LIVE
Agent Runtime & AI Infrastructure

SC NODE

Now live as a public alpha: a lightweight, provider-neutral Rust agent harness for tool-using AI agents across local and opt-in cloud models.

Rust Runtime Ollama + NIM Public GitHub
Open live public-alpha dossier
SC AGENT LAB
IN DEVELOPMENT
Agent Testing, Benchmarking & Evaluation

SC AGENT LAB

A visible reference application and benchmark suite for testing agents, skills, tools, execution quality, model routing and multi-agent workflows.

Benchmarks Evaluation Run Evidence
Open platform dossier

Researching a focused local AI personal assistant.

Nova / AI-LPA explores how the SC Platform can become a practical end-user assistant without overstating its current maturity.

Nova / AI-LPA
ACTIVE RESEARCH
Local AI Personal Assistant

Nova / AI-LPA

Local Windows AI assistant research covering chat, studio, skills, connectors, memory and model routing for end users.

Assistant Skills Model Routing
Open research dossier

Focused intelligence applications built on the SC Platform.

Each Radar turns a specific class of signals into practical, reviewable intelligence.

HardwareRadar
ACTIVE PROTOTYPE
Hardware Intelligence

HardwareRadar

Compare CPUs, GPUs, used hardware deals, local AI setups, workstation builds and performance-per-euro decisions for real buying and building.

Hardware Benchmarks Builds
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CompetitorRadar
ALPHA
Competitive Intelligence

CompetitorRadar

Local-first competitive intelligence for structured monitoring, evidence review and traceable market-change tracking.

Monitoring Evidence Review Queue
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LLMRadar
ALPHA
Model Intelligence

LLMRadar

Compare local and cloud LLMs by coding ability, context window, speed, cost, privacy, hardware fit and real workflow suitability — not hype.

Models Routing Benchmarks
Open dossier
MalwareRadar
ALPHA
Threat Intelligence

MalwareRadar

Local-first visibility into processes, services, autostarts, network behaviour and suspicious system signals. Not antivirus — a power-user visibility layer.

Security Processes Threat Intel
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PrivacyRadar
CONCEPT
Privacy Intelligence

PrivacyRadar

Makes permissions, tracking behaviour, data exposure and privacy risks visible and understandable. A privacy cockpit for real control.

Privacy Audit Visibility
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TrackerRadar
CONCEPT
Tracking Intelligence

TrackerRadar

Identifies telemetry, tracking patterns, background communication and suspicious app or web behaviour that exposes user activity.

Tracking Telemetry Risk
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ClientRadar
PROTOTYPE
Sales Intelligence

ClientRadar

Structures customer context, opportunities, notes, follow-ups and technical sales workflows. A focused radar, not a bloated CRM.

Sales CRM Follow-up
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BuildRadar
FUTURE CONCEPT
Build / Release Intelligence

BuildRadar

Tracks build status, release readiness, artifacts, packaging, tests and deployment steps for solo-dev projects. Future concept cockpit.

Build QA Releases
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Too much context. No memory. No control.

Modern work scatters context across chats, files, emails and tools. Critical ideas get lost.

AI agents are powerful but need memory, control, visibility and privacy to be trusted.

Cloud-only workflows are not always acceptable. Local-first matters when data is sensitive.

Private AI infrastructure and focused tools.

SC LABS builds small, sharp tools that make hidden context, system state and operational risks visible — locally, privately and with clear user control.

Local-first memory Agent control Model intelligence Workflow automation Privacy visibility Threat visibility Radar tools

An independent solo-dev lab for practical local-first AI tools.

Built by one operator, not by a committee. SC LABS combines technical sales experience, AI workflow building, Windows automation, local model experimentation, product prototyping and real-world operational problems into focused tools.

No bloated platforms. No fake team pages. No venture-backed growth mandates. Just small, sharp tools that solve real problems for builders, operators and independent teams who need control, memory and visibility.

Built after hours. Tested through real workflows. Improved with AI-assisted development.

Eight foundations that drive every tool.

01

Local-first by default

Private workflows should not depend on cloud availability. Data stays on the machine.

02

Cloud only when it adds value

Cloud models are tools, not the foundation. Every tool works offline in its core path.

03

Human approval before destructive actions

Agents can suggest, prepare and explain. Critical actions need explicit approval.

04

Memory must be structured and auditable

Context should be searchable, linked and traceable. No black-box memory.

05

Agents need boundaries

Every agent workflow needs scope, permissions, logs and rollback paths.

06

Privacy is architecture

Privacy is not a checkbox. It must shape how tools are built from the start.

07

Signals must explain why they matter

A finding without context is noise. Every signal needs explanation and impact.

08

Small tools should solve real problems

Each radar should answer a practical operational question. No feature bloat.

What is being built right now.

AURON ACTIVE PROTOTYPE Workspace and mission-control integration
AURON VAULT ACTIVE Structured memory and linked knowledge
SC NODE PUBLIC ALPHA · LIVE Public repository · v0.1.0-alpha.1
SC AGENT LAB IN DEVELOPMENT Agent benchmarks and run evidence
HardwareRadar ACTIVE PROTOTYPE Telemetry, installer, QA
CompetitorRadar ALPHA Evidence review and monitored change history
LLMRadar ALPHA Model comparison and routing
MalwareRadar ALPHA False-positive hardening
ClientRadar PROTOTYPE Sales workflow structure
PrivacyRadar CONCEPT Tracking visibility
TrackerRadar CONCEPT Telemetry pattern detection
Nova / AI-LPA ACTIVE RESEARCH Local assistant architecture
BuildRadar FUTURE CONCEPT Build and release tooling
Monochrome illustrated portrait of SB
SB — Founder & Builder

Curiosity turned into practical engineering.

Behind SC LABS is SB — a technology enthusiast driven by curiosity, creativity and the belief that practical software should solve real problems.

What started as experimenting with automation and AI has grown into a personal engineering playground focused on local AI, developer tools, intelligent desktop applications and privacy-first systems.

Rather than specializing in a single field, SB embraces the mindset of a Jack of All Trades. The goal is not to become the world’s leading expert in one narrow discipline, but to connect ideas across software development, AI, hardware, engineering and product design — and turn them into useful tools that simply work.

Every project on this site is built from genuine curiosity, continuous learning and countless evenings spent turning ideas into working software.

Generalist by mindset. Builder by passion. Always learning. Always shipping.

SC LABS is building practical private AI tooling for people who need control, memory and visibility.

[email protected]