Northtek Labs - AI Tools & Experiments Built in Alaska
R&D Hub

NORTHTEK Labs.

Open-source tools, AI research, and internal infrastructure that we use to ship faster and build smarter for our clients.

Research Open Source · Apache-2.0 2026

RAIN, exact reasoning without neural networks

An open-source reasoning system that solves three published compositional-generalization benchmarks at or near 100%, in seconds on a plain CPU, with no neural network doing the reasoning. Frontier AI models measured on the same held-out tests score 36% to 86%. Every number reproduces from a fresh clone.

SCAN
100%
COGS gen
99.75%
PCFG SET
100%
Runs on
CPU, seconds
Read the writeup → / github.com/NORTHTEKDevs/rain
Research Open Source · Apache-2.0 2026

RCK, the Resonant Cognitive Kernel

A reasoning engine that answers from stored facts instead of guessing, shows the chain of facts behind every answer, and says "I don't know" when it doesn't. It runs on a plain CPU, learns a new fact instantly without retraining, and holds 100,000 real-world facts in 535 MB with sub-millisecond lookups.

Facts
100,000
On disk
535 MB
Query
Sub-ms
Hardware
CPU only
Read the writeup → / github.com/NORTHTEKDevs/rck
Research Open Source · Apache-2.0 2026

SOFAR, so a transformer stops forgetting

A drop-in adapter for any HuggingFace transformer that helps it find facts buried deep in a long prompt instead of losing them. On the published GPT-2 tests it lifts needle-in-a-haystack recall by a third to double, while adding about three hundredths of one percent to the model's size.

Recall lift
up to +100%
Added size
~0.03%
Tests
365
Fits
Any HF model
Read the writeup → / github.com/NORTHTEKDevs/SOFAR
Language Open Source · Apache-2.0 2026

Kryos, a language that has to ask permission

A compiled programming language where code cannot touch the network, the disk, or your data unless it declared that intent up front, and the compiler refuses to build it otherwise. Built for the moment when AI agents run real actions, it is the difference between trusting a promise and enforcing a rule.

Stdlib
66 modules
Fuzzed
14,000+
Divergences
0
Compiles
itself
Read the writeup → / github.com/NORTHTEKDevs/kryos-lang
Tools Open Source · MIT 2026

Lemmas, reliability primitives for any LLM

Small, dependency-light modules that make any language model API more trustworthy: verifying its own answers, checking for consistency, and catching quality drift. No framework to adopt and no lock-in, they wrap whatever provider you already use.

Primitives
7
Dependencies
numpy
Works with
Any API
Size
~2.4k lines
Read the writeup → / github.com/NORTHTEKDevs/lemmas
Research Open Source · Apache-2.0 August 2026

FACTGATE, the AI fact-checker that is not allowed to guess

An open-source gate that checks an AI assistant's answers against the facts of your document and returns one of three verdicts: verified, blocked, or held for a human. No judge model, no similarity thresholds, no guessing. Across 110 hand-reviewed answers on four real documents, it never once confirmed a wrong answer.

Wrong confirms
0 of 110
Leak rate
0 of 366
Review load cut
58%
Tests
816
Read the writeup → / github.com/NORTHTEKDevs/factgate
Field Guide Free Download June 2026

The Alaska Lead Engine

A free 12-page field guide to the five-part build that turns a local business into the obvious choice in its market - getting found, converting, content, paid ads, and follow-up. Every part ends with a checklist you can run this week.

Views
Millions
Jobs booked
1,000s
Client revenue
$100K+
Read time
20 min
Get the free guide → / northtek.io/lead-engine

More open source

Tools we built for our own work and released for anyone to use. Every one is public on GitHub.

Ghost

Rust

The computer-use layer for AI agents on Windows and Linux. It operates any app, even ones with no API, in the background without taking your screen or cursor, and proves every action actually happened.

Evolve

Rust

Drop-in A/B evolution for AI coding assistants. Keep using Claude Code, Cursor, or Aider exactly as you do, and it quietly learns which setup works best for your codebase, then promotes the winner. No cloud, one local file.

Praxis

TypeScript

A memory for the things an AI assistant has proven it can do. The twist most memory tools miss: it only saves a skill after the assistant has actually run it and shown it works. If it does not pass the check, it does not get saved.

aiproof

Makefile

ESLint for AI prompts. A static analyzer for the prompts you feed to language models, it finds real bugs before you spend a single token.

Lossless Context

TypeScript

A context ledger for agent file reads with cryptographically signed receipts of exactly which file versions the model was shown. Refreshingly honest about its own benchmarks, including where it does not help.

Claude Code Flywheel

JavaScript

Measure which Claude Code skills and agents actually earn their cost. A small, fully local observability layer for your AI setup, with zero runtime dependencies.

Aurora3D

TypeScript

A react-three-fiber library and Claude skill for generating Spline-quality 3D web visuals in code, the kind of motion we use on client sites.

OVERSTORY

TypeScript

A knowledge tree of your codebase where every claim carries a verifiable receipt: it hashes the exact source lines each claim cites, so stale docs fail loudly instead of lingering. Local-first CLI plus an MCP server for agents, on npm as @northtek/overstory.

GENOME

Python

An auditable memory layer for AI agents that ingests locally with zero LLM calls, matches Mem0 on benchmark accuracy at a fraction of the ingest cost, and can answer what it believed at any point in time. On PyPI as genome-memory, MCP server included.