browse-for-me leverages headless Chromium via Puppeteer controlled by OpenAI models to interpret user-defined instructions. Users create configuration files specifying target URLs, actions like clicking, form submission, and data points for extraction. The agent executes each step autonomously, handles errors with retries, and returns structured JSON or plain-text summaries. With support for multi-step sequences, scheduling, and environment variables, it streamlines tasks like web scraping, site monitoring, automated testing, and content summarization.

crewAI Playground is a developer toolkit and sandbox for building and experimenting with AI-driven agents. You define agents via configuration files or code, specifying prompts, tools, and memory modules. The playground runs multiple agents concurrently, handles message routing, and logs conversation history. It supports plugin integrations for external data sources, customizable memory backends (in-memory or persistent), and a web interface for testing. Use it to prototype chatbots, virtual assistants, and automated workflows before production deployment.