Agents CLI is the quickest way to build, deploy and evaluate multi-agent teams using Google Agent Development Kit. Works with Claude Code, Codex, OpenClaw, Hermes or any other coding Agent. Talking to your agent is all you need.
AGENTS
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Talk on Building and Evaluating Agentic LLM Systems for Science
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If AI is so good right now, why aren't they scientists yet? Come join us for this AI4Science on alphaXiv talk: Building and Evaluating Agentic LLM Systems for Science. In this session, Prof. Dhruv Kumar (
@gargdhruv36
) and Dhruv Trehan (
@dhruvtrehan9
) will share recent -
Technical Deep Dive into Designing and Deploying AI Agents
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In this meet-up, hear about: The main components of designing custom Deep Agents Strategies for context management, long-running agents, and specialized subagents How to measure and improve agents over time with memory What it takes to deploy long-running agents with
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Apple AirPod 3 with cameras for Siri context awareness in 2026
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2026 will be the Apple AI year: AirPod 3 with AI + camera incoming The new AirPods have cameras in both earbuds that serve as eyes for Siri, capturing low-resolution visuals (not photos or video). Users can ask about things they're looking at, get context-aware reminders, and
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Realtime models translate live, think in background, and take action
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That’s what feels so magical with this new set of realtime models. Agents can translate live, keep conversations going while thinking in the background, preserve context, and even take action. To get started, ask Codex to add these models to your app!
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DeepAgents Series: Tools, MCP, and Skills
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Kwasi is back for the deepagents series @DataScienceDojo
. Tools, MCP, and skills, what they are, how they work together, and how to build agents that can actually interact with the world. May 13 | 11am PT https://
datasciencedojo.com/event/ai-agent
-tools-mcp-skills/
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OpenAI introduces realtime speech-to-speech models for voice agents
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Big day for developers: new realtime audio models are here in the OpenAI API! 🗣️
— Romain Huet (@romainhuet) 7 mai 2026
Fun one to demo: live translation with GPT-Realtime-Translate, and GPT-Realtime-2, our first speech-to-speech reasoning model for voice agents.
Voice is becoming an interface you can actually ship. https://t.co/w2zES0ot7LBig day for developers: new realtime audio models are here in the OpenAI API! Fun one to demo: live translation with GPT-Realtime-Translate, and GPT-Realtime-2, our first speech-to-speech reasoning model for voice agents. Voice is becoming an interface you can actually ship.
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GLM-5V-Turbo: Native Foundation Model for Multimodal Agents
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“GLM-5V-Turbo: Toward a Native Foundation Model for Multimodal Agents” Most multimodal agents today are still basically text agents with vision adapters, and a lot of reasoning failures are actually the model failing to see the interface, layout, chart, or object correctly.
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GPT-Realtime-2 reasoning model enables building voice agents
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You can now just build amazing voice agents, with the GPT-Realtime-2 reasoning model in our API: https://t.co/KkAcbMnq8V
— Greg Brockman (@gdb) 7 mai 2026You can now just build amazing voice agents, with the GPT-Realtime-2 reasoning model in our API:
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Cerebras gives away 5 Windsurf plans with SWE-1.6 model
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🎁 We're giving away 5 Windsurf plans ($250 credit each)!
— Cerebras (@cerebras) 7 mai 2026
Try SWE-1.6 — @Cognition’s latest fast and intelligent agentic coding model, powered by Cerebras. In a side-by-side with Claude, the speed difference is clear. More iterations, faster fixes, better code.
💬Comment why… pic.twitter.com/f4zhV9OhYQWe're giving away 5 Windsurf plans ($250 credit each)! Try SWE-1.6 — @Cognition
’s latest fast and intelligent agentic coding model, powered by Cerebras. In a side-by-side with Claude, the speed difference is clear. More iterations, faster fixes, better code. Comment why