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  • DEC. 19, 2025 / AI

    Real-World Agent Examples with Gemini 3

    Gemini 3 is powering the next generation of reliable, production-ready AI agents. This post highlights 6 open-source framework collaborations (ADK, Agno, Browser Use, Eigent, Letta, mem0), demonstrating practical agentic workflows for tasks like deep search, multi-agent systems, browser and enterprise automation, and stateful agents with advanced memory. Clone the examples and start building today.

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  • DEC. 17, 2025 / AI

    Introducing Agent Development Kit for TypeScript: Build AI Agents with the Power of a Code-First Approach

    Introducing the Agent Development Kit (ADK) for TypeScript, an open-source framework for building complex, multi-agent AI systems with a code-first approach. Developers can define agent logic in TypeScript, applying traditional software development best practices (version control, testing). ADK offers end-to-end type safety, modularity, and deployment-agnostic functionality, leveraging the familiar TypeScript/JavaScript ecosystem.

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  • DEC. 17, 2025 / AI

    Conductor: Introducing context-driven development for Gemini CLI

    Conductor is a new Gemini CLI extension that promotes context-driven development. It shifts project context from chat logs to persistent Markdown files for formal specs and plans, ensuring AI agents adhere to project goals, style, and tech stack. This structured workflow is great for "brownfield" projects and teams, allowing for safe iteration and consistent code contributions while keeping the human developer in control.

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  • DEC. 16, 2025 / AI

    Developer’s guide to multi-agent patterns in ADK

    Learn how to build modular and reliable agentic applications using 8 effective multi-agent design patterns with the Agent Development Kit (ADK).

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  • DEC. 15, 2025 / Mobile

    Introducing A2UI: An open project for agent-driven interfaces

    A2UI is an open-source project for agent-driven, cross-platform, and generative UI. It provides a secure, declarative data format for agents to compose bespoke interfaces from a trusted component catalog, allowing for native styling and incremental updates. Designed for the multi-agent mesh (A2A), it offers a framework-agnostic solution to safely render remote agent UIs, with integrations in AG UI, Flutter's GenUI SDK, Opal, and Gemini Enterprise.

    Train a GPT2 model with JAX on TPU for free
  • DEC. 11, 2025 / AI

    Building agents with the ADK and the new Interactions API

    The new Gemini Interactions API enables stateful, multi-turn AI agent workflows, providing a single interface for raw models and the Gemini Deep Research Agent. It can be integrated with existing ADK systems as a superior inference engine with simplified state management, or used as a transparent remote A2A agent via InteractionsApiTransport, allowing seamless expansion of multi-agent systems with minimal refactoring.

    The Agentic experience: Is MCP the right tool for your AI future?
  • DEC. 9, 2025 / AI

    Don't Trust, Verify: Building End-to-End Confidential Applications on Google Cloud

    Google Cloud enables end-to-end confidential applications, protecting sensitive data 'in-use' with hardware isolation. The solution combines Confidential Space (TEE/attestation), Oak Functions (private sandbox), and Oak Session (attested end-to-end encryption for scale). This framework anchors user trust in open-source components, proving confidentiality for sensitive workloads like proprietary GenAI models, even when running behind untrusted load balancers.

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  • DEC. 8, 2025 / Mobile

    MediaTek NPU and LiteRT: Powering the next generation of on-device AI

    LiteRT and MediaTek are announcing the new LiteRT NeuroPilot Accelerator. This is a ground-up successor for the TFLite NeuroPilot delegate, bringing seamless deployment experience, state-of-the-art LLM support, and advanced performance to millions of devices worldwide.

    Train a GPT2 model with JAX on TPU for free
  • DEC. 4, 2025 / AI

    Architecting efficient context-aware multi-agent framework for production

    ADK introduces **Context Engineering** to scale AI agents beyond large context windows. It treats context as a compiled view over a tiered, stateful system (**Session, Memory, Artifacts**). This architecture uses explicit processors for transformation, enables efficient compaction and caching, and allows for strict, scoped context handoffs in multi-agent workflows to ensure reliability and cost-effectiveness in production.

    Agent Development Kit: Making it easy to build multi-agent applications
  • DEC. 2, 2025 / AI

    Announcing the Data Commons Gemini CLI extension

    The new Data Commons extension for the Gemini CLI makes accessing public data easier. It allows users to ask complex, natural-language questions to query Data Commons' public datasets, grounding LLM responses in authoritative sources to reduce AI hallucinations. Data Commons is an organized library of public data from sources like the UN and World Bank. The extension enables instant data analysis, exploration, and integration with other data-related extensions.

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