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Setting up a Python agent shouldn't take all day. Watch how we use uv (the blazing fast package manager written in Rust) to initialize an environment and install the Agent Development Kit instantly →

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Google Cloud Tech

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16,908 görüntüleme • 29 gün önce •via X (Twitter)

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An LLM without tools is just a chatbot. On this week’s livestream, learn how to feed an OpenAPI spec directly into the Agent Development Kit (ADK), instantly teaching your agent how to use your backend APIs →
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An LLM without tools is just a chatbot. On this week’s livestream, learn how to feed an OpenAPI spec directly into the Agent Development Kit (ADK), instantly teaching your agent how to use your backend APIs →

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LLMs can hallucinate URLs. 404s happen. 🛠️ See how Google's Agent Development Kit (ADK) uses a built-in web UI to debug agents in real time and orchestrate multi-agent systems to verify data. Watch the full tutorial →

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Introducing the Tasklet sandbox VM. Every agent now gets its own Linux environment with Python, ffmpeg, imagemagick, and a persistent filesystem. Create, process & transfer files, use code to analyze data, make network requests, install packages & more.

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Watch us use the Agent Manager to delegate research and coding tasks to a first-class AI partner. It's the new home base for turning ambiguous ideas into structured artifacts. See the Agent Manager in action on this week’s livestream →
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Granular code control or prompt-driven development? In Antigravity, you exist in both worlds. Dive into the Editor for deep work. Pull back to the Agent Manager to manage multiple agents across workspaces. Switch between them instantly. Watch the Manager and Editor in sync 👇

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Anyone can build an agent. But to build a trustworthy agent at enterprise scale that is durable, long-running, optimized, contextually aware, and autonomous, the right infrastructure is required. At DevCon 6 we introduced the Agent Stack, the culmination of learnings gathered over years of agentic implementations. Orchestrator, Agent Engine, Agent SDK, Agent Builder, Agent Manager, AIP Evolve, SuperRepo, and so much more. All built on the Ontology, to power agents that actually work in production.

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Tired of manually approving agent mode tools? You can configure the setting to auto-approve all tools. And you can configure this setting only for your remote development environment, for some level of protection from any potentially destructive actions.

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Genspark AI just released the world’s first full Agentic Download Agent. You can now ask to download anything and the agent automatically searches, downloads, and organizes files instantly. 5 powerful use cases + how to try👇: 1. Download all papers from a LinkedIn post

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I made an agent using GitHub Copilot SDK to help me become a running influencer🏃🏾‍♀️✨ Here's the Python code you can use to build an agent that uses MCP and Skills to: - draft and send email - design pitch decks - make a website Copilot CLI then runs all of this in a workflow🐍

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Here is how simple it is to build a UI front-end for an AI agent (assuming you are using . The video here is 90 seconds and will show you everything you need to connect an agent to a web app: 1. Set up CopilotKit🪁 in your app 1. Copy the agent's localhost URL from LangGraph Studio 2. Paste that URL into a CopilotKit🪁 remote endpoint That's all you need to get a front-end to interact with the agent! The secret sauce here is CoAgents, an open-source library. You can use CoAgents to integrate any agent with your web application. Here is what you get: • Human-in-the-loop to steer and correct the agent • Stream intermediate agent state • Real-time state sharing between the agent and the application • Agentic generative UI to build trust that the agent is on the right path Watch the attached demo so you see it in action.

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Internally at NVIDIA, we use cuOpt based agentic workflows with agent skills to optimize our supply chains. Since it’s open source, you can too. With optimizations ready in minutes instead of weeks, the workflow uses multi-agent LangChain Deep agent orchestration and GPU-accelerated solvers to turn natural language into optimized decisions. Spin it up instantly with a Brev Launchable (preconfigured GPU environment) and grab free developer credits while they last.

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