AI Agent Framework - Google launched ADK, an open-source framework for building, orchestrating, evaluating, and deploying production-grade Agentic systems [1] - Google ADK is compatible with MCP (for connecting to external tools), A2A (for connecting to other agents), and AG-UI (for connecting to users) [1] AG-UI Protocol - AG-UI is an open-source protocol enabling agents to collaborate with users [2] - AG-UI facilitates a bridge between a backend AI agent and a full-stack app [2] - Connecting an agent to a React frontend using CopilotKit involves defining the agent with ADK and connecting it to the frontend [2]

If you found it insightful, reshare it with your network.Find me → @_avichawlaEvery day, I share tutorials and insights on DS, ML, LLMs, and RAGs.Avi Chawla (@_avichawla):Google did it again!First, they launched ADK, a fully open-source framework to build, orchestrate, evaluate, and deploy production-grade Agentic systems.And now, they have made it even powerful!Google ADK is now fully compatible with all three major AI protocols out there: https://t.co/nMkcyLEhyl ...

Framework Overview - Stagehand is an open-source browser automation framework designed for Agents, aiming to bridge the gap between brittle traditional automation tools and unpredictable full-agent solutions [1] - It combines AI for navigating unfamiliar pages with code (Playwright) for known tasks [2] Key Features - Stagehand allows previewing AI actions before execution and caching repeatable actions to save tokens [2] - It is compatible with SOTA computer use models with one line of code and available in both Python and TypeScript SDK [2] - Stagehand includes an open-source MCP server [2] Industry Impact - The framework addresses the limitations of traditional browser automation tools like Selenium or Playwright, which require hard-coded automation that can be disrupted by website changes [1] - It offers an alternative to high-level Agents like OpenAI Operator, which can be unpredictable in production [1]