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adityachauhan0/README.md

Aditya Chauhan

I build software that runs close to the machine: local AI agents, the systems under them, and tools other agents can call.

Yuzu is what I'm shipping now. X 路 LinkedIn

Selected work

Yuzu 路 Swift A local AI agent for macOS. The model runs on the machine through uzu. It connects to Slack, GitHub, Notion, and any MCP server, and learns a team's workflows from skill files. Site

explore-index 路 Python An agent skill that stops coding agents from re-exploring a codebase they already mapped. Across 31 live runs it cut token use by 39.9% (p = 0.0005) with no loss in accuracy.

Laya 路 Python A computer-use MCP for macOS. Accessibility builds the table of actions, an MLX model picks one, and the host types it after you approve.

deckdown 路 JavaScript A Markdown presentation engine for AI agents. Decks render locally to PDF, PNG, and PPTX, with no hosted service in the loop.

impact-compass 路 TypeScript A CLI that pressure-tests a startup idea against public evidence: demand, competitors, and whether anyone is already paying. No model involved.

Before that

Systems work, written from scratch: a 64-bit Rust microkernel, a stack VM and language with its own garbage collector, and a BitTorrent client in Go.

Smaller tools that are still in use: screenshot-mcp captures Linux windows for agents, and wait-whaa-win is a graph-RAG explorer.

Pinned Loading

  1. go-torrent go-torrent Public

    Concurrent P2P BitTorrent engine built from scratch in Go, featuring a custom recursive parser and robust state-machine peer management.

    Go

  2. deckdown deckdown Public

    Markdown presentation engine for AI agents with local PDF, PNG, and PPTX output

    JavaScript 14 3

  3. yuzu yuzu Public

    A local AI agent for your Mac. Connect Slack, GitHub, Notion, or any MCP server, teach it workflows as skills, all on an on-device model powered by uzu.

    Swift 2

  4. DragonTail DragonTail Public

    See and control every machine on your tailnet from one Mac app.

    HTML 1