frago
Frago lets you orchestrate AI agents across multiple runtimes (Python, Node, browsers) using a metadata‑driven “Recipe” that persists state and controls Chrome via the CDP.
- •You need a single script to run a chain of LLM calls, web‑scraping, and custom Python code without wiring each piece manually.
- •Your product requires a reproducible, version‑controlled workflow that can be rerun with the same context (e.g., a research assistant that remembers prior queries).
- •You want to control a Chrome browser (clicks, navigation, screenshot) from an AI agent without writing low‑level CDP code.
frago run examples/web_search_summary/recipe.yaml # Executes a browser scrape, feeds the page text to an LLM, and writes a markdown summary to output/summary.md
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/frago && curl -fsSL https://workflowstacks.com/api/skills/frago/claude-skill -o ~/.claude/skills/frago/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/frago && curl -fsSL https://workflowstacks.com/api/skills/frago/claude-skill -o ~/.claude/skills/frago/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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