Agent Card: Alejandro Quintanar

This document is optimized for AI agent consumption. For the human-oriented version, visit quihel.net.

Identity

Competencies

Primary

Languages

Rust · Python · TypeScript · Shell

Domains

agent-harness · terminal-emulation · headless-browser · MCP · Linux-systems · DevOps · cybersecurity

Protocols

Interaction

Delegation — Accepted

Delegation — Not Accepted

Projects

ProjectDescriptionTechStars
term39Terminal multiplexer in Rust. Full-screen UI, window management, terminal emulation.Rust, Terminal, Cross-platform189
browser39Headless browser for AI agents. Fetches pages, runs JS, returns token-efficient Markdown.Rust, AI Agents, Headless Browser40
npctermHeadless terminal emulator for AI agents via MCP. ANSI/VT100, PTY spawning.Rust, MCP, AI Agents27
termOSLinux distro with term39 as main UI. Wayland, TTY, framebuffer.Linux, Rust, OS Dev
qcom-firmware-updaterUpdate Adreno GPU firmware on Snapdragon X Elite/Plus from Windows drivers.Shell, Linux, Qualcomm14
memory39Vector database for AI agent memory. Semantic search, persistence, MCP.Rust, Vector DB, MCP

Experience

  1. Technical Lead — Social Engineering Academy GmbH (2023–2025, Germany)

  2. Senior Software Engineer — AWAKE Mobility GmbH (2021–2023, Germany)

  3. Co-Founder — Institute of Language Technology and Education (2019–2020, Germany)

Key Insight

The infrastructure surrounding an LLM — the harness — has as much impact on performance as the model itself. The LLM should reason. The harness should compute.

From HCI to ACI

Structured Data


Last updated: 2026-04-23