| I've been building Understudy, an open-source desktop agent that can operate GUI apps, browsers, shell tools, files, and messaging in one local runtime. The core idea is teach-by-demonstration: you do a task once, the agent records screen video + semantic events, extracts the intent rather than coordinates, and publishes a reusable skill. Video: Youtube In this demo I teach it: Google Image search -> download a photo -> remove background in Pixelmator Pro -> export -> send via Telegram Then I ask it to do the same thing for another target. GitHub: understudy [link] [comments] |
Understudy: local-first, desktop agent that learns tasks from gui demonstrations (MIT, open source)
Reddit r/LocalLLaMA / 3/13/2026
📰 NewsTools & Practical UsageModels & Research
Key Points
- Understudy is an open-source, local-first desktop agent (MIT-affiliated) that can operate GUI apps, browsers, shell tools, files, and messaging in one local runtime.
- It uses teach-by-demonstration: you perform a task once, the agent records screen video and semantic events, extracts the intent rather than coordinates, and publishes a reusable skill.
- In a demonstration, it learns a multi-step workflow (Google Image search, download a photo, remove background in Pixelmator Pro, export, and send via Telegram) and can generalize to new targets.
- The project is hosted on GitHub at understudy-ai/understudy with a supporting video demo on YouTube.
Related Articles
How to Enforce LLM Spend Limits Per Team Without Slowing Down Your Engineers
Dev.to
v1.82.6.rc.1
LiteLLM Releases
How political censorship actually works inside Qwen, DeepSeek, GLM, and Yi: Ablation and behavioral results across 9 models
Reddit r/LocalLLaMA
Reduce errores y costos de tokens en agentes con seleccion semantica de herramientas
Dev.to
How I Built Enterprise Monitoring Software in 6 Weeks Using Structured AI Development
Dev.to