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.

MixAgent provides a plug-and-play architecture that lets developers define prompts, connect multiple LLM backends, and incorporate external tools (APIs, databases, or code). It orchestrates planning and execution loops, manages agent memory for stateful interactions, and logs chain-of-thought reasoning. Users can quickly prototype assistants, data fetchers, or automation bots without building orchestration layers from scratch, accelerating AI agent deployment.