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  • MARCH 18, 2026 / AI

    Developer’s Guide to AI Agent Protocols

    This blog post introduces a suite of six protocols, such as MCP and A2A, designed to eliminate custom integration code by standardizing how AI agents access data and communicate. Using a "kitchen manager" agent as a practical example, it demonstrates how these tools handle complex tasks like real-time inventory checks, wholesale commerce via UCP, and secure payment authorization through AP2. By leveraging the Agent Development Kit (ADK), developers can also implement A2UI and AG-UI to deliver interactive dashboards and seamless streaming interfaces to users.

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  • MARCH 17, 2026 / Cloud

    Announcing the Colab MCP Server: Connect Any AI Agent to Google Colab

    When you’re prototyping locally with AI agents like Gemini CLI, Claude Code, or your own agent, thei...

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  • MARCH 11, 2026 / AI

    Plan mode is now available in Gemini CLI

    Gemini CLI now features Plan Mode, a read-only environment that allows the AI to analyze complex codebases and map out architectural changes without the risk of accidental execution. By leveraging the new ask_user tool and expanded Model Context Protocol (MCP) support, developers can collaboratively refine strategies and pull in external data before committing to implementation.

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  • MARCH 6, 2026 / Cloud

    What's new in TensorFlow 2.21

    Google has officially launched LiteRT, the successor to TFLite, which offers significantly faster GPU and NPU acceleration alongside seamless support for PyTorch and JAX. The update also introduces lower-precision data type support for increased efficiency and a commitment to more frequent security and dependency updates across the TensorFlow ecosystem. This transition solidifies LiteRT as Google's primary high-performance framework for deploying GenAI and advanced on-device inference.

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  • FEB. 27, 2026 / AI

    Supercharge your AI agents: The New ADK Integrations Ecosystem

    Agent Development Kit (ADK) now supports a robust ecosystem of third-party tools and integrations. Connect your agents to GitHub, Notion, Hugging Face, and more to build capable, real-world applications.

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  • FEB. 13, 2026 / AI

    Conductor Update: Introducing Automated Reviews

    Conductor for the Gemini CLI has introduced a new Automated Review feature designed to verify the quality and accuracy of AI-generated code. This update addresses the challenge of validating agentic development by automatically checking implementations against original plans, enforcing style guides, and identifying security risks or bugs. by incorporating test-suite validation and providing actionable reports, Conductor helps developers ensure that their AI agents deliver safe, predictable, and architecturally sound code before it is finalized.

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  • FEB. 11, 2026 / AI

    Making Gemini CLI extensions easier to use

    To simplify the user experience and prevent startup failures, the Gemini CLI has introduced structured extension settings that eliminate the need for manual environment variable configuration. This update enables extensions to automatically prompt users for required details during installation and securely stores sensitive information, such as API keys, directly in the system keychain. Users can now easily manage and override these configurations globally or per project using the new Gemini extensions config command.

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  • FEB. 9, 2026 / AI

    Access public data insights faster: Data Commons MCP is now hosted on Google Cloud

    Data Commons has launched a free, hosted Model Context Protocol (MCP) service on Google Cloud Platform, eliminating the need for users to manage complex local server installations. This update simplifies connecting AI agents and the Gemini CLI to Data Commons, allowing Google to handle security, updates, and resource management while users query data natively.

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  • FEB. 4, 2026 / AI

    Introducing the Developer Knowledge API and MCP Server

    Google is launching the Developer Knowledge API and MCP Server in public preview. This new toolset provides a canonical, machine-readable way for AI assistants and agentic platforms to search and retrieve up-to-date documentation across Firebase, Google Cloud, Android, and more. By using the official MCP server, developers can connect tools directly to Google’s documentation corpus, ensuring that AI-generated code and guidance are based on authoritative, real-time context.

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  • JAN. 28, 2026 / Mobile

    LiteRT: The Universal Framework for On-Device AI

    LiteRT, the evolution of TFLite, is now the universal framework for on-device AI. It delivers up to 1.4x faster GPU, new NPU support, and streamlined GenAI deployment for models like Gemma.

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