anthropic-quickstarts
Offers comprehensive development guides for three distinct AI-powered demo projects with standardized workflows, strict code style guidelines, and containerization instructions.
Search and filter by type across the catalog
62,621 results in Hooks, Workflows, MCPs, Infrastructure · page 3 of 2,610
Offers comprehensive development guides for three distinct AI-powered demo projects with standardized workflows, strict code style guidelines, and containerization instructions.
Gradio web UI on top of the browser-use framework. It lets users run AI browser agents interactively, configure LLM providers, watch live recordings, and replay task sessions without writing Python.
trycua/cua open-source computer-use agent framework: Apple Silicon-native, runs lightweight macOS/Linux VMs with sub-second cold starts; provides a unified Python interface for screen capture, click, and type actions.
Transform 17 source types (docs, GitHub repos, PDFs, videos, Jupyter, Confluence, Notion, Slack/Discord) into AI-ready skills and RAG knowledge. 35 MCP tools for scraping, packaging, enhancing, and exporting to vector databases (Weaviate, Chroma, FAISS, Qdrant). Supports 16+ target platforms.
Use to let a hosted agent reach a private-data MCP server behind your firewall (an outbound tunnel plus a proxy, with per-server OAuth) so internal tools are usable without exposing them to the public internet.
WebDriverIO-based MCP server enabling cross-browser automation (Chrome, Firefox, Safari) via the W3C WebDriver protocol, useful for enterprise test environments that mandate WebDriver over CDP.
All parts of Claude Code's system prompt, including builtin tool descriptions, sub agent prompts (Plan/Explore/Task), utility prompts (CLAUDE.md, compact, Bash cmd, security review, agent creation, etc.). Updated for each Claude Code version.
Open-source Chrome extension that runs a multi-agent browser automation system locally. Planner, Navigator, and Validator agents collaborate inside the browser with no external API calls for web tasks.
Pure Node.js MCP server that renders and validates PlantUML diagrams with zero Java and zero external server, powered by TeaVM. Exposes render_diagram, check_syntax and diagram_explain — just run npx @plantuml/mcp-js.
Browserless.io headless browser service. It provides a Docker-deployable or cloud-hosted Chrome endpoint with REST and WebSocket APIs for screenshot, PDF, scraping, and Puppeteer/Playwright remote sessions.
Bytebot open-source computer-use agent: a Docker-based Ubuntu desktop with AI-controlled mouse and keyboard; exposes an HTTP API for agents to send click, type, screenshot, and macro commands.
Provides browser automation and semantic search capabilities through Chrome extension integration, enabling intelligent web element interaction, form filling, screenshot capture, and vector-based content indexing with transformer models for cross-platform web automation workflows.
The MCP server tools have been designed to allow an agent to query the specific information it needs to complete an assistant-ui related task - for example: implementing chat components, integrating with different runtimes, understanding component architecture, and troubleshooting issues.