Video & Animation

Browser Use is an open source browser automation framework for AI agents that turns websites into controllable interfaces for multi-step tasks. It combines a Python SDK, browser orchestration, and model integrations so agents can navigate, extract data, and complete workflows in real browsers.

Automates browser tasks with Browser Use, the open-source library that connects LLM reasoning to Playwright-driven web actions. Useful for navigating sites, filling forms, extracting structured page data, and running agentic browser workflows with screenshots and stateful sessions.

Use browser-use to turn natural-language web tasks into repeatable browser automation backed by Playwright and agent loops. This skill helps an agent open sites, inspect page state, click, type, extract data, and recover from common UI changes with a real automation framework instead of brittle one-off scripts.

Browserbase MCP Server gives agents cloud browser control through Browserbase and Stagehand, with both hosted HTTP and self-hosted stdio options. It suits teams that want MCP-based browser automation but prefer Browserbase sessions and Stagehand’s action model instead of running Playwright locally.

browser-use is an open-source Python framework for letting AI agents interact with websites through a real browser. It supports local execution, optional cloud browsers, custom tools, and a CLI for persistent browser sessions.

Use Browserbase when an agent needs hosted browser sessions, remote automation, session recording, and scalable browser infrastructure without managing Chromium fleets directly. This skill packages the Browserbase API and SDK into a concrete workflow for running, monitoring, and extracting results from cloud browser sessions.

Run a repeatable evaluation suite for browser agents against static web task snapshots instead of judging them from demos or one-off tests.

Browserless turns Chrome, Firefox, and WebKit into a remote browser service you can self-host or consume as a managed platform. It gives automation stacks a stable WebSocket and REST surface for screenshots, PDFs, scraping, persistent sessions, and debugging without hand-managing browser fleets.

Drives headless Chrome via the Browserless.io API for scraping dynamic SPAs. Uses /content, /screenshot, and /pdf endpoints with stealth mode. Manages session tokens and concurrent connection limits.

Browsertrix Crawler is a browser-based crawling system from Webrecorder for high-fidelity site capture, QA replay analysis, and configurable crawl behavior. It runs complex crawls in a single Docker container and uses Puppeteer plus Chrome DevTools Protocol under the hood.

Bruno is an open-source, offline-first API client that stores collections as plain-text .bru files on your filesystem. It serves as a privacy-focused, git-friendly alternative to Postman and Insomnia with no cloud sync and no account required.

Browserable is an open-source, self-hostable browser automation library built for AI agents. This skill turns Browserable into a repeatable workflow for navigation, form filling, extraction, and browser-based task execution with local control instead of a hosted black box.

Uses Bubble

Use ArrowJS when a coding agent needs to add or maintain small reactive web interfaces using DOM-native JavaScript, template literals, SSR/hydration packages, and optional WASM sandboxing.

Use RocketRide to compose, run, observe, and deploy portable AI pipelines from an IDE or CLI across model providers, vector stores, and agent nodes.

Scaffold, run, inspect, and evaluate model-agnostic agents that connect to MCP servers, skills, shell tools, and workflow packs.

Use Google Agent Development Kit to define, test, evaluate, and deploy code-first Python agents with tools, sessions, HITL confirmation, and multi-agent orchestration.

Use mcp-use to create, test, and package MCP servers or interactive MCP apps that work across agent clients.

Use Kiln to create eval datasets, rate outputs, optimize prompts and models, and ship the same AI task or agent definition from a local workbench into production code.

Author, validate, test, and troubleshoot Copilot Studio agents through YAML-driven commands instead of clicking through the product UI.

Inspect n8n nodes and templates, generate typed workflow code, and sync automations through Git-friendly files instead of hand-editing workflow JSON.

Compose, orchestrate, and trace production multi-agent workflows with Microsoft Agent Framework.

Use AB Method when a Claude Code task is too large for one pass and needs to be broken into focused tasks and missions that are completed incrementally instead of trying to solve the whole project in one conversation.

Bubble Tea is a powerful Go framework for building terminal user interfaces based on The Elm Architecture. Developed by Charmbracelet, it supports inline, full-window, and mixed TUI applications with a high-performance cell-based renderer and declarative views.