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Achievements

Achievement: Pull Sharkx3Achievement: Pair ExtraordinaireAchievement: YOLOAchievement: Arctic Code Vault Contributor

Achievements

Achievement: Pull Sharkx3Achievement: Pair ExtraordinaireAchievement: YOLOAchievement: Arctic Code Vault Contributor

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urmzd/README.md

Urmzd Mukhammadnaim

I design modular systems from scratch—streaming agent SDKs, flexible memory layers, and template-driven CLIs—using Go, Rust, and Python. Projects like incipit and mnemonist show how I merge AI workflows with robust engineering.

urmzd.com @urmzd_ urmzd

Spotlight

incipit

Template-driven CLI for transforming structured resume data into polished documents across multiple formats, featuring pluggable templates and multi-agent AI assessment. Built with Go and TeX, it streamlines professional profile generation. Stars: 12 · Languages: Go, TeX, HTML · Active

saige

Unified Go SDK and CLI for streaming AI agents, knowledge graphs, and retrieval-augmented generation pipelines. Integrates advanced AI workflows with knowledge graph management. Stars: 3 · Languages: Go, Go Template · Active

linear-gp

Production-grade Rust framework for Linear Genetic Programming research, featuring modular architecture, Q-Learning integration, and automated hyperparameter optimization. Supports reinforcement learning and classification tasks. Stars: 2 · Languages: Rust · Building

mnemonist

Open ecosystem for tool-agnostic AI agent memory, implemented in Rust and Python. Enables flexible memory management for AI agents across diverse platforms. Stars: 3 · Languages: Rust, Python · Active

teasr

Rust-based tool for capturing showcase screenshots and GIFs from web, desktop, and terminal apps. Delivers a single binary with no runtime dependencies for streamlined media generation. Stars: 2 · Languages: Rust, HTML · Building

Language Velocity

Streamgraph of Urmzd Mukhammadnaim's programming language usage over the past year

Contribution Rhythm

Radar chart of Urmzd Mukhammadnaim's contribution patterns by day of week

Tech Stack

Tech Stack

Portfolio

All Projects

Developer Tools

Project Description Stars Languages
generative-artifact-protocol Open standard for token-efficient artifact updates and streaming, featuring a Rust apply engine and evaluation CLI. Supports multi-language integration for generative workflows. 1 Rust, TypeScript, Java
github-insights AI-powered GitHub profile metrics with SVG visualizations, project classification, and README generation. Available as CLI, npm package, and GitHub Action. 1 TypeScript, Shell
oag Fast OpenAPI 3.x code generator for TypeScript, React/SWR, and FastAPI, featuring zero runtime dependencies and first-class SSE streaming. Built with Rust and Jinja. - Rust, Jinja
lazyspeak.nvim Voice-driven coding plugin for Neovim, enabling spoken intent to trigger edits directly in the editor. Built with Lua and Rust for seamless integration. 1 Lua, Rust, Vim Script
sr Release engineering CLI in Rust, offering automated semantic versioning from conventional commits. Delivers a single static binary with zero runtime dependencies. - Rust
agentspec Universal agent skill and sub-agent manager with terminal user interface, implemented in Rust. Streamlines agent orchestration and skill management. - Rust
dotfiles Cross-platform dotfiles managed by Chezmoi, supporting Homebrew/apt and per-language version managers. One-command bootstrap for macOS and Linux with Neovim, Tmux, Zsh, and AI agent skills. 2 Shell, Lua, Go Template
fsrc CLI, crate, and GitHub Action for embedding source files into any text file using comment markers. Supports Rust and Python for flexible documentation workflows. 1 Rust, Python
urmzd GitHub profile README auto-generates updates and showcases project highlights. - -

SDKs

Project Description Stars Languages
zigbee-skill AI-native smart home skill enabling direct control of Zigbee devices without cloud or hub. Built with Go and Shell for seamless agent integration. - Go, Shell, Just
streamsafe Type-safe async pipeline framework for data processing in Rust, supporting modular and reliable workflows. - Rust, Shell, Just
gymnasia Pure Rust implementation of OpenAI Gymnasium environments, facilitating reinforcement learning experiments in a native ecosystem. 1 Rust

Applications

Project Description Stars Languages
urmzd.com Personal website, blog, and research portfolio built with Astro, React, and Three.js. Showcases interactive web technologies and academic work. 1 TypeScript, Astro, JavaScript
languide Scenario-based language guides built from markdown, generating PDFs with full Unicode and CJK support. Focused on communication-driven learning. - -

Research & Experiments

Project Description Stars Languages
experimental-transformer-architectures Testbed for observable language models in Python, where every hidden state is a readable distribution over words. Designed for interpretability and computational transparency. - Python

Open Source Impact

Bar chart of Urmzd Mukhammadnaim's open source contributions by repository star count

Last generated on 2026-06-08 using @urmzd/github-insights

Pinned Loading

  1. linear-gp linear-gp Public

    A production-grade Rust framework for Linear Genetic Programming research, featuring modular architecture, Q-Learning integration, automated hyperparameter optimization, and support for reinforceme…

    Rust 2 1

  2. saige saige Public

    saige — Super Artificial Intelligence Graph Environment. A unified Go SDK and CLI for streaming AI agents, knowledge graphs, and RAG pipelines.

    Go 3

  3. mnemonist mnemonist Public

    An open ecosystem for tool-agnostic AI agent memory

    Rust 3 1

  4. generative-artifact-protocol generative-artifact-protocol Public

    Generative Artifact Protocol (GAP) — an open standard for token-efficient artifact updates and streaming. Rust apply engine + eval CLI.

    Rust 1

  5. lazyspeak.nvim lazyspeak.nvim Public

    Voice-driven coding for Neovim. Speak your intent, edits appear in your editor.

    Lua 1

  6. incipit incipit Public

    Here begins the new career. A template-driven CLI that transforms structured resume data into polished PDFs, DOCX, HTML, LaTeX, and Markdown — with pluggable templates and multi-agent AI assessment.

    Go 12 1