Open Source Innovation

Production-ready frameworks, AI tools, and research implementations pushing the boundaries of what's possible

🚀 6+ Projects⭐ Open Source🔬 Research-Driven

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Cognotik
active⭐ Featured

Cognotik

AI productivity platform — 'AI that works like software, not chat.' Delivered three ways: hosted SaaS, an open-source local-first desktop app, and an IntelliJ IDEA plugin. The plugin began as the standalone 'AI Coding Assistant' — an early-market entrant predating ChatGPT — and evolved into Cognotik, carrying its 57,000+ JetBrains Marketplace downloads with it. Full production cloud stack on AWS ECS/Fargate with RDS, OAuth, and Stripe pay-as-you-go billing. 8+ model providers, BYOK architecture. Start free at hosted.cognotik.com →
KotlinTypeScriptReactIntelliJ Platform SDK+12 more
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MindsEye
archived⭐ Featured

MindsEye

Comprehensive Java deep learning library built from scratch with CUDA/CuDNN integration, predating TensorFlow's first release. Features a custom ownership-based memory management system using AST-based static analysis, achieving 10x performance improvement by bypassing GC for GPU buffers. Archived, but the write-ups are still worth reading: project documentation, the auto-generated NetworkZoo component catalog, and the source on GitHub. Its optimizer research lives on in QQN.
JavaCUDACuDNNOpenCL+2 more
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QQN Optimization
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QQN Optimization

The Quadratic-Quasi-Newton (QQN) method — a general-purpose optimizer that dissolves the usual either/or choice between a safe gradient step and a bold quasi-Newton step. Instead of picking one, QQN interpolates them into a smooth curve, d(t) = t(1-t)(-∇f) + t² d_LBFGS, and line-searches along it: the path leaves the current point tangent to steepest descent (so the first step is always downhill) and bends toward the L-BFGS direction as it goes. The result is guaranteed descent, graceful degradation when curvature information is unreliable, and zero new hyperparameters. First prototyped inside the MindsEye Java deep learning framework, formally published alongside a Rust reference implementation and a 62-problem, 25-optimizer benchmarking tournament, and since ported to JAX/Optax, PyTorch, and TensorFlow. Start with the interactive essay → or read the paper.
OptimizationNumerical MethodsQuasi-Newton / L-BFGSRust+8 more
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Mathematical Explorations
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Mathematical Explorations

16 interactive research labs, 6 formal essays, and 6 browser games running live with no install step — each lab a small piece of in-browser mathematical research, not a textbook visualization. Labs span Pentagonal Lattice Geometry, Geometric Entropy, Spacelike Knots, PID-Regulated Cellular Automata, Constrained Mesh Enclosure, No-Three-in-Line, the nam numeric VM, and an Optimization Mechanics Visualizer. Claims verified computationally via Maxima, BFS sweeps, and KPM estimation. Open the labs at math.cognotik.com → — nothing to install, everything runs in your browser.
JavaScriptHTML5 CanvasMathematical VisualizationInteractive Web+4 more
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Arcade of Life
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Arcade of Life

A zero-dependency, no-build-step browser PWA: an arcade game collection powered by Conway's Game of Life and 50+ other cellular-automata rulesets. Features multiple game modes, a pluggable CPU/WebGL2 simulation backend with hashlife memoization, a 600+ pattern library, full level designer, and custom exotic engines. Play it now at aol.cognotik.com → — loads instantly, works offline, no account needed.
JavaScriptES6 ModulesHTML5 CanvasWebGL2+4 more
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Vocal Parkour
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Vocal Parkour

A browser-based vocal-gesture rhythm game: make mouth sounds (hiss, airy, pop, hum — or record your own) into your microphone, and a fully client-side, real-time audio engine classifies each sound while a rhythm rail scores timing, precision, and consistency. Privacy-first: no audio ever leaves the device. **Play it at vp.cognotik.com →** — grant mic access, run Quick Calibrate, and you're playing in about a minute.
TypeScriptWebAssemblyWeb Audio APIAudioWorklet+6 more
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