#17: Google I/O 2025 recap and more

AgentPulse: Your Weekly Dose of AI Agents News.

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May 22, 2025

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Welcome back, AI Agent Enthusiast!

In today’s Agent Pulse:

  • Google I/O 2025 key announcements

  • Other Top News

  • Top AI agents Leaderboard

  • Featured AI Agents

  • Free courses to level up your AI agent game

  • Agents Protocols.

🚀 Major Google I/O 2025 Announcements

Google just wrapped up its annual I/O developer conference on May 20, 2025, unveiling significant advancements in AI and new products. Here's a breakdown of what was announced and what it means for you.

Gemini 2.5 Pro Launch

  • Google's most intelligent model yet, Gemini 2.5 Pro, now tops the LMArena leaderboard.

  • Integrated with LearnLM (optimized for learning), it’s the new benchmark in general-purpose AI agents, especially for education, reasoning, and code generation.

New "Deep Think" Mode

  • Enables advanced reasoning using parallel thinking techniques.

  • This sets a foundation for more autonomous and reflective AI agents that can solve complex tasks without step-by-step prompts.

Agent Mode in Gemini App

  • A true multi-agent capability that can autonomously complete tasks (e.g., apartment hunting) using live web interaction.

  • Brings the agent economy closer to reality—multi-step, goal-oriented task completion is now live in Gemini.

Personalized Smart Replies

  • Gemini can write emails or messages in your tone and voice, using your data (with full privacy controls).

  • Early signs of true personal AI agents that deeply understand their user’s preferences and communication style.

Project Mariner

  • A web-interacting research agent now being integrated into Chrome, Search, and Gemini.

  • Mariner shows Google’s serious shift toward task-performing agents that can browse and take action.

Google Beam – AI-First Video Platform

  • Real-time 3D video transformation with real-time speech translation in Google Meet.

  • Makes remote collaboration smarter and more immersive—key for agent-based virtual experiences.

AI Mode in Google Search

  • Overview: A full reimagining of Search with Gemini 2.5 Pro at its core. Handles longer, complex queries and agentic reasoning.

  • Why it matters: Converts Search into an AI agent-like experience that takes actions on your behalf (e.g., booking, shopping).

Smarter AI Shopping Tools

  • AI-generated shopping visuals, try-ons using custom-trained fashion models, and dynamic mosaics.

  • Agents can now understand not just text, but also fashion fit and visual preferences—pushing toward full digital personal shoppers.

Gemini Live Upgrades

  • Adds screen and camera sharing to Gemini app, rolling out for free.

  • Enhances agent interactivity with real-world context—more useful for real-time decision-making and assistance.

Imagen 4 & Veo 3 for Image/Video Generation

  • Imagen 4 improves image quality; Veo 3 adds native audio generation (sound effects, dialogue, ambiance).

  • Opens the door for creative AI agents that can generate rich multimedia content, including films, games, and stories.

Flow – AI Filmmaking Tool

  • A creative tool that allows uploading, extending, and editing video clips using AI.

  • Gives creators AI agents that assist with end-to-end content production.

Android XR & Smart Glasses

  • Android XR platform powers Gemini-enabled smart glasses from Gentle Monster and Warby Parker.

  • Spatial agents go real-world. Wearable agents can now see, hear, and act with you in augmented reality.

SynthID Across Media

  • SynthID now works for image, text, video, and audio watermarking and detection.

  • Crucial infrastructure for trustworthy agents and AI-generated content in a post-truth internet.

Watch Google I/O 2025 recap in 10 minutes.

📢 Other TOP News

Microsoft: Building an AI Agent Factory

  • At Build 2025, Microsoft unveiled its vision of becoming an "AI agent factory," led by Jay Parikh, former Meta engineering chief.

  • Key announcements included:

    • Expansion of Copilot AI in Windows 11 and Microsoft 365, introducing autonomous agents and semantic search.

    • Introduction of an Azure SRE agent integrated into GitHub Copilot, enhancing it from a coding assistant to a task-performing peer.

    • Launch of "Copilot Tuning" to tailor agents using company-specific data.

    • Partnerships with OpenAI, Nvidia, and Elon Musk’s xAI to integrate Grok models into Azure.

    • Introduction of new tools like Discovery for scientific research and the AI Foundry for building Windows features.

Cursor launched a background AI Agents in early preview, rolling out gradually: agents can now run in the background! This allows you to run many agents in parallel and have them tackle bigger tasks. The agents run in their own remote environments. At any point, you can view the status, send a follow-up, or take over. (Doc)

Block (formerly Square): Introducing 'Goose' AI Agent

  • Block showcased 'Goose,' an in-house AI agent developed using Anthropic’s Claude model.

  • Goose assists in coding, data visualization, and prototyping, enabling both engineers and non-technical staff to engage in software development.

  • The AI agent has been open-sourced and includes protocols to review AI-generated code for quality control.

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🚀 Agents Leaderboard

🥇 TheLibrarian.io: WhatsApp AI Personal Assistant workflows
🥇DigitalEmployees.io: Digital workers for TechOps and QA
🥇DoozerAI: Digital workers for business operations
🥇OctoComics: Comic creation
🥈 Chatvolt: Business Communication
🥉 CrewAI: Multi Agents framework

Explore Dynamic AI Agents Leaderboard

✨ Featured Agents

🎓 FREE Courses

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Agents TOP Protocols

  • MCP (Model Context Protocol): Standard way for tools to share context and data with AI models in both directions, so agents get what they need in real time. Introduced by Anthropic.

  • A2A (Agent‑to‑Agent Communication Protocol): Common message format that lets agents talk, discover each other’s abilities, and coordinate tasks securely. Introduced by Google.

  • ACP (Agent Communication Protocol): A simple, consistent structure for agents to call and control each other, making multi‑agent workflows easier. Introduced by IBM under BeeAI project.

  • ANP (Agent Network Protocol): A peer‑to‑peer framework for agents to verify identities and connect directly—think HTTP, but for AI agents. Introduced by Gaowei Chang

  • AGORA:  A flexible meta‑protocol that picks the best way (structured calls, natural language, or code) to let large networks of agents collaborate without a central hub. Introduced by researchers at the University of Oxford and Eigent AI.

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