Development · GitHub repo
autobrowse
Self-improving browser automation skill for AI coding agents
autobrowse is an AI agent skill from Browserbase that creates reliable web automation scripts through iterative trial and error. Inspired by autoresearch harness concepts, an inner agent runs the task while an outer agent diagnoses execution failures and refines instructions until the workflow passes consistently. It saves working solutions into reusable skill definitions for tools like Claude Code.
What it's for
- Build reliable scraping and browser interaction workflows through iterative self-correction
- Automate repetitive multi-step web tasks like flight searches or checkout navigation
- Generate token-efficient, validated browser automation skills for coding agents
Features
- Dual-agent architecture with an execution agent and a supervising strategy optimizer
- Iterative evaluation harness that updates strategy documentation based on test runs
- Flexible execution via explicit CLI flags or natural language prompts
- Support for local or remote browser execution environments
- Browser trace logging to inspect and debug site interactions
- Direct installation into AI coding agents using the skills package manager
Pricing
Open source. Free and open source
Details
- Type
- GitHub repo
- Category
- Development
- Topic
- Browser Automation
- Open source
- Yes
- Platforms
- Command line, Code library
- For
- Developers and AI engineers using agentic coding assistants like Claude Code
- Alternative to
- Browserbase, Playwright, Puppeteer, Stagehand
- Tags
- agents, browser automation, claude code, skills, browserbase
Why it was saved
- @marc.kaz: It allows an AI agent to tackle web browsing tasks by iteratively testing, analyzing failures via a browser CLI, and converging on a reliable, token-optimized workflow that turns into a reusable skill.
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Updated