LLM Guided Workflow Automation
DERIV
This project is a terminal-first workflow automator built around the Chrome DevTools Protocol. It provides a powerful backend for browser automation while exposing a clean, interactive TUI built with Textual, the Python framework for modern terminal apps. Users design, edit, reorder, and run multi-step workflows as prompts, all without leaving the terminal. An LLM layer powered by Groq, using OpenAI open-source models, interprets intent, generates actions, and recovers gracefully from errors. The architecture is modular and extensible, making it easy to add new actions, tools, or agents. By combining deterministic CDP control with LLM-driven reasoning, the app enables fast, reproducible automation for testing, scraping, and DevTools-level debugging, while remaining lightweight, scriptable, and friendly to developer workflows, and suitable for secure, offline-friendly terminal environments.
Category tags:.png&w=96&q=75){kind=small}
For Innovators & Creators