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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 end-to-end systems in Rust and Go, from agent orchestration to memory modules. My focus is extensibility—tools like incipit and mnemonist streamline workflows for AI engineers and researchers.

urmzd.com @urmzd_ urmzd

Spotlight

incipit

Template-driven CLI that transforms structured resume data into polished PDFs, DOCX, HTML, LaTeX, and Markdown, featuring pluggable templates and multi-agent AI assessment. Built in Go with a focus on extensibility and professional output. Stars: 12 · Languages: Go, HTML, TeX · Active

saige

Unified Go SDK and CLI for streaming AI agents, knowledge graphs, and retrieval-augmented generation (RAG) pipelines. Bridges agent orchestration and graph-based AI workflows in a single toolkit. Stars: 3 · Languages: Go, Go Template · Active

teasr

Single Rust binary for capturing showcase screenshots and GIFs from web apps, desktop, and terminal, with zero runtime dependencies. Streamlines visual documentation for developers and testers. Stars: 2 · Languages: Rust, HTML · Active

mnemonist

Open ecosystem for tool-agnostic AI agent memory, enabling seamless integration of memory modules across Rust and Python projects. Designed for interoperability and extensibility in AI workflows. Stars: 4 · Languages: Rust, Python · 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 · Active

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 artifact management. 1 Rust, TypeScript, Java
github-insights AI-powered GitHub profile metrics with SVG visualizations, project classification, and README generation. Available as a CLI, npm package, and GitHub Action. 1 TypeScript, Shell
oag Fast OpenAPI 3.x code generator for TypeScript, React/SWR, and FastAPI, offering zero runtime dependencies and first-class SSE streaming support. - Rust, Jinja
sr Release engineering CLI delivering a single static binary with zero runtime dependencies, automating semantic versioning from conventional commits. - Rust
agentspec Universal agent skill and sub-agent manager with a terminal user interface, built in Rust and Shell for flexible AI agent orchestration. - Rust, Shell
dotfiles Cross-platform dotfiles managed by Chezmoi, supporting Homebrew/apt, per-language version managers, and one-command bootstrap for macOS and Linux. Includes Neovim, Tmux, Zsh, and AI agent skills. 2 Shell, Lua, Go Template
lazyspeak.nvim Voice-driven coding extension for Neovim, enabling users to speak their intent and see edits appear directly in the editor. Built with Lua, Rust, and Vim Script. 1 Lua, Rust, Vim Script
fsrc CLI, crate, and GitHub Action for embedding source files into any text file using comment markers, supporting Rust and Python workflows. 1 Rust, Python
urmzd GitHub profile README for personal branding and project highlights. - -

SDKs

Project Description Stars Languages
zigbee-skill AI-native smart home skill enabling direct control of Zigbee devices by AI agents, with no cloud or hub required. Built in Go and Shell. - Go, Shell, Just
streamsafe Type-safe async pipeline framework for data processing in Rust, supporting robust and composable workflows. - Rust, Shell, Just

Applications

Project Description Stars Languages
urmzd.com Personal website, blog, and research portfolio built with Astro, React, and Three.js, showcasing interactive content and modern web technologies. 1 TypeScript, Astro, JavaScript
languide Scenario-based language guides built from markdown, generating PDFs with full Unicode and CJK support for communication-focused learning. - -

Research & Experiments

Project Description Stars Languages
experimental-transformer-architectures Testbed for observable language models where every hidden state is a readable distribution over words, designed for interpretability by construction rather than leaderboard performance. - Python
gymnasia Pure Rust implementation of OpenAI Gymnasium environments, enabling reinforcement learning research without Python dependencies. 1 Rust

Open Source Impact

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

Last generated on 2026-07-02 using @urmzd/github-insights

Pinned Loading

  1. 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

  2. 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

  3. mnemonist mnemonist Public

    An open ecosystem for tool-agnostic AI agent memory

    Rust 4 1

  4. 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

  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