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With WebMCP, your website can communicate directly with agents to help them complete tasks on behalf of human users. Learn about the APIs and how you can debug your implementation in our latest Developer Tooling Tip episode. →

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Chrome for Developers

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13,186 görüntüleme • 2 gün önce •via X (Twitter)

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Your agents can now browse and take actions on the web, just like you can. This lets agents work with sites that don’t have APIs and still complete tasks end to end. Plus, each interaction is streamed live to Studio.
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Your agents can now browse and take actions on the web, just like you can. This lets agents work with sites that don’t have APIs and still complete tasks end to end. Plus, each interaction is streamed live to Studio.

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AI agents are evolving and becoming more proactive. From cloud-based to on-device, these systems can run continuously, handle tasks, and keep sensitive data local. New Liquid Foundation Models bring agents directly to your laptop and phone, even while you are offline. Watch the latest episode of Advanced Insights to learn more about our partnership with Liquid AI:

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Our most anticipated launch of the year is here. - Gemini 3, our most intelligent model - Generative interfaces, for perfectly designed responses - Gemini Agent, made to complete complex tasks on your behalf See how Gemini 3 can help you learn, build & plan anything 🧵
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Our most anticipated launch of the year is here. - Gemini 3, our most intelligent model - Generative interfaces, for perfectly designed responses - Gemini Agent, made to complete complex tasks on your behalf See how Gemini 3 can help you learn, build & plan anything 🧵

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Heres how to get started with the neatlogs MCP ! with this you can access your traces, detections, complete RCA and traige cards right inside Claude Code, Cursor, Windsurf, or whichever you like to build and you dont need to jump between your editor and a bunch of dashboards, you can just debug and fix your agents in one place. :)
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Heres how to get started with the neatlogs MCP ! with this you can access your traces, detections, complete RCA and traige cards right inside Claude Code, Cursor, Windsurf, or whichever you like to build and you dont need to jump between your editor and a bunch of dashboards, you can just debug and fix your agents in one place. :)

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Your terminal, now with context-aware intelligence. Debug faster, run multi-step tasks, and stay in flow. Intelligent Terminal brings your favorite agents into the command line so you can debug, execute, and keep building without breaking focus.
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Your terminal, now with context-aware intelligence. Debug faster, run multi-step tasks, and stay in flow. Intelligent Terminal brings your favorite agents into the command line so you can debug, execute, and keep building without breaking focus.

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Learn how to set up your JamboApp and start earning with our latest video. If you don’t have a JamboPhone, get yours at: Android users can also download JamboApp on Google Play:
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Learn how to set up your JamboApp and start earning with our latest video. If you don’t have a JamboPhone, get yours at: Android users can also download JamboApp on Google Play:

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Your knowledge + 10 Minutes = agents that can work on your behalf. AgentSuite's no code set up makes launching agents simple. The real value is in the unique human knowledge you train them with. Join the waitlist. Platform coming soon 👇
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Your knowledge + 10 Minutes = agents that can work on your behalf. AgentSuite's no code set up makes launching agents simple. The real value is in the unique human knowledge you train them with. Join the waitlist. Platform coming soon 👇

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🧵 Making Proactive Agents with Code Generation Last week we shared about how you can use code generation to compose tools. But code generation can also give your agents new capabilities- like proactively acting on your behalf.
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🧵 Making Proactive Agents with Code Generation Last week we shared about how you can use code generation to compose tools. But code generation can also give your agents new capabilities- like proactively acting on your behalf.

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Introducing Giga's browser agent. Giga can now log in and completes tasks end-to-end, just like your human agents. It used to take months to get support APIs deployed for AI agents in the enterprise. Now these integrations can be built instantly.
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Introducing Giga's browser agent. Giga can now log in and completes tasks end-to-end, just like your human agents. It used to take months to get support APIs deployed for AI agents in the enterprise. Now these integrations can be built instantly.

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Our latest LangChain Academy course – Building Ambient Agents with LangGraph – is now available! Most agents today handle one request at a time through chat interfaces. But as models have improved, agents can now run in the background – and take on long-running, complex tasks. LangGraph is built for these “ambient agents,” with support for human-in-the-loop workflows and memory. LangGraph Platform provides the infrastructure to run these agents at scale, and LangSmith helps you observe, evaluate, and improve your agents. Together, they make it easier to build reliable, production-ready agents. In this course, you’ll: 📩 Learn the fundamentals of LangGraph and how to build your own email agent 📊 Evaluate your agent using LangSmith ✅ Add human-in-the-loop for reviews, and memory so your agent adapts over time 🚀 Deploy your agent with LangGraph Platform and connect it to Gmail
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Our latest LangChain Academy course – Building Ambient Agents with LangGraph – is now available! Most agents today handle one request at a time through chat interfaces. But as models have improved, agents can now run in the background – and take on long-running, complex tasks. LangGraph is built for these “ambient agents,” with support for human-in-the-loop workflows and memory. LangGraph Platform provides the infrastructure to run these agents at scale, and LangSmith helps you observe, evaluate, and improve your agents. Together, they make it easier to build reliable, production-ready agents. In this course, you’ll: 📩 Learn the fundamentals of LangGraph and how to build your own email agent 📊 Evaluate your agent using LangSmith ✅ Add human-in-the-loop for reviews, and memory so your agent adapts over time 🚀 Deploy your agent with LangGraph Platform and connect it to Gmail

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Today we’re launching the first and only human-like AI agents in the world. Super Agents™ are the first agents with human‑level skills – they DM you, take @ mentions, send emails, manage docs, tasks, and more. Not just tools or API calls, but real skills fine‑tuned for how teams actually work. The first agents with 100% context – fully native in ClickUp and fully synced from other apps. Super Agents see your work the same way that humans do: tasks, docs, schedules, and conversations all in one place. The first agents that learn from human interactions automatically, without any setup or configuration – when you give feedback, they listen and improve how they work. The first agents with human‑level memory for custom agents – historical memory for every interaction, short-term working memory, and even long‑term memory stored in docs you can literally open, inspect, and edit. The first agents that are literally the same as users – our agentic user model is the same as our user data model. This gives you permissions and capabilities that you and your systems are already familiar with. The first infinite agent catalog – where anyone can create and customize agents in minutes, for literally any type of work imaginable. It's the most intuitive way to build agents on the planet. 95% of companies are failing in AI adoption. The reality is that AI isn't meant to be adopted, it's meant to be adapted – to you. Super Agents are automatically personalized to you and your company using proprietary state-of-the-art agent architecture, orchestration, and tooling. Today is the largest step forward we've ever made towards our mission of making people more productive. Maximize human productivity, with ClickUp Super Agents. Available NOW. For everyone.
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Today we’re launching the first and only human-like AI agents in the world. Super Agents™ are the first agents with human‑level skills – they DM you, take @ mentions, send emails, manage docs, tasks, and more. Not just tools or API calls, but real skills fine‑tuned for how teams actually work. The first agents with 100% context – fully native in ClickUp and fully synced from other apps. Super Agents see your work the same way that humans do: tasks, docs, schedules, and conversations all in one place. The first agents that learn from human interactions automatically, without any setup or configuration – when you give feedback, they listen and improve how they work. The first agents with human‑level memory for custom agents – historical memory for every interaction, short-term working memory, and even long‑term memory stored in docs you can literally open, inspect, and edit. The first agents that are literally the same as users – our agentic user model is the same as our user data model. This gives you permissions and capabilities that you and your systems are already familiar with. The first infinite agent catalog – where anyone can create and customize agents in minutes, for literally any type of work imaginable. It's the most intuitive way to build agents on the planet. 95% of companies are failing in AI adoption. The reality is that AI isn't meant to be adopted, it's meant to be adapted – to you. Super Agents are automatically personalized to you and your company using proprietary state-of-the-art agent architecture, orchestration, and tooling. Today is the largest step forward we've ever made towards our mission of making people more productive. Maximize human productivity, with ClickUp Super Agents. Available NOW. For everyone.

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Polly is our AI assistant built directly into LangSmith to help you debug, analyze, and improve your agents — now generally available. Now, Polly lives on every page of LangSmith, remembers your full session as you navigate, and can take action to update prompts, compare experiments, write evaluators, and more. Read the blog: See the docs: Try Polly in LangSmith:

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LangChain Academy is live! Our first course — Introduction to LangGraph — teaches you the in-and-outs of building a reliable AI agent. In this course, you’ll learn how to: 🛠️ Build agents with LangGraph's graph-based workflows 🔄 Use memory + human-in-the-loop for smarter, self-corrective agents 📚 Create your own AI assistant that can perform knowledge tasks Enroll now for free ➡️ Bring LangChain Academy to your company ➡️

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🔗 New LangChain Academy Course: Introduction to LangChain (Python) 🔗 Learn how to build with LangChain – our open source framework that makes it easy to start building agents with any model provider. In this course, you’ll create agents that can reason, use tools, and take action, and learn how to debug their behavior with LangSmith. Along the way, you’ll: - Build an agent with the `create_agent` abstraction - Use LangChain’s core building blocks: Models, Messages, Memory, and Tools - Customize your agent with middleware - Debug your agent with LangSmith Observability & Studio By the end of the course, you’ll have assembled a full team of personal assistants. Enroll for free ➡️

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In a world filled with bots, can you prove you’re human? Pass the Turing test in the latest episode of our AI voice game. Convince a customer service agent you’re not a bot. Complete the challenge and let us know how you won.
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In a world filled with bots, can you prove you’re human? Pass the Turing test in the latest episode of our AI voice game. Convince a customer service agent you’re not a bot. Complete the challenge and let us know how you won.

CivAI

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Today, we introduce Coral: a knowledge assistant for enterprises looking to improve the productivity of their most strategic teams. Users can converse with Coral to help them complete their business tasks.
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Today, we introduce Coral: a knowledge assistant for enterprises looking to improve the productivity of their most strategic teams. Users can converse with Coral to help them complete their business tasks.

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Over the past couple of years, you’ve heard us reference “agents” and “agentic capabilities,” nebulous concepts that are designed to help you with coding, booking trips, and other complex multi-step tasks. But, what actually IS an agent? We think of AI agents as systems that combine the intelligence of advanced AI models with access to tools so they can take actions on your behalf, under your control. Whether it’s a coding agent or our recently unveiled experimental tool Gemini Agent in the Google Gemini, these are systems that will meet you where you are, in the products that you love, to help take the tedious tasks you want off your plate.
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Over the past couple of years, you’ve heard us reference “agents” and “agentic capabilities,” nebulous concepts that are designed to help you with coding, booking trips, and other complex multi-step tasks. But, what actually IS an agent? We think of AI agents as systems that combine the intelligence of advanced AI models with access to tools so they can take actions on your behalf, under your control. Whether it’s a coding agent or our recently unveiled experimental tool Gemini Agent in the Google Gemini, these are systems that will meet you where you are, in the products that you love, to help take the tedious tasks you want off your plate.

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Unlock the Potential of AI Agents with #BALANCE 👇 Dive into our in-depth tutorial to see how you can create and deploy your own #AIAgents.
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Unlock the Potential of AI Agents with #BALANCE 👇 Dive into our in-depth tutorial to see how you can create and deploy your own #AIAgents.

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