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🚀 Introducing Dynamic Intelligence for Replit Agent We're unlocking next-level problem solving with: 🧠 Extended Thinking ⚡️ High Power Model 🌐 Web Search Now the Agent thinks deeper, reasons better, and surfs the web to get you complete solutions. This allows Agent to solve challenging and open ended problems... show more

Replit ⠕

226,272 subscribers

111,754 次观看 • 1 年前 •via X (Twitter)

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10 条评论

Replit ⠕ 的头像

Replit ⠕1 年前

Learn more:

Aaron Henriques 的头像

Aaron Henriques1 年前

Turned all 3 on and asked it to review the code, find any errors/misconfiguration and fix them. First checkpoint was $13.22 and the second was $21.94. It had a lot of changes/debugging though and the tradeoff will be worth it if it saves time compared with standard Agent. 👏🏽

Spanky McDoob 的头像

Spanky McDoob1 年前

Effort based pricing is great i hope it comes out a bit cheaper. ive had times where ill get 3 consecutive checkpoints in a 2 minute time span, so hopefully this works a little better. my monthly cost got pretty wild this month and i still have 5 more days

Aitor Ruiz 的头像

Aitor Ruiz1 年前

This is a terrible change. I’m seeing my bill multiply by four with just minor adjustments, without even using the new features. This is not sustainable — I’ll have to switch to alternative solutions. @amasad @mattppal @Replit

Flaggpole 的头像

Flaggpole1 年前

Let’s F***ing Go

Ryan Carson 的头像

Ryan Carson1 年前

Looking forward to trying this out

Matt Vaadi 的头像

Matt Vaadi1 年前

Ya'll still open? Been trying to contact support for days...

GhostCred · LinkedIn Carousels 的头像

GhostCred · LinkedIn Carousels1 年前

This is a big leap. Giving agents reasoning depth + web search unlocks a whole new tier of autonomy. Curious to see how dev workflows evolve with this in play.

Laura | The Second Act Boss 的头像

Laura | The Second Act Boss1 年前

Perfect timing for my news SaaS app!

Alexandru Iaroslavschi 的头像

Alexandru Iaroslavschi1 年前

Uuuu, amazing! It will be nice to have in nearly future Voice possibility to comunicate with Assistant or Agent

相关视频

🚀 Introducing Queue: A Smarter Way to Build with Replit Agent Today, we’re excited to launch Queue, a powerful new capability designed to enhance your experience with Replit Agent. With Queue, you can submit multiple tasks while your Agent is still working—no more waiting around or breaking your flow. As each task completes, the Agent automatically moves to the next. You can: ✅ Add multiple tasks for the Agent to process in order. ✅ Edit, reorder, or reprioritize messages on the fly. ✅ Attach files and adjust settings—including toggling extended thinking or selecting a different model—per task.

🚀 Introducing Queue: A Smarter Way to Build with Replit Agent Today, we’re excited to launch Queue, a powerful new capability designed to enhance your experience with Replit Agent. With Queue, you can submit multiple tasks while your Agent is still working—no more waiting around or breaking your flow. As each task completes, the Agent automatically moves to the next. You can: ✅ Add multiple tasks for the Agent to process in order. ✅ Edit, reorder, or reprioritize messages on the fly. ✅ Attach files and adjust settings—including toggling extended thinking or selecting a different model—per task.

Replit ⠕

75,576 次观看 • 1 年前

Introducing RAGs v3 🌟: Build a RAG bot that can also search the web 🌐, to find answers that aren’t immediately in its corpus. Do this all in natural language, not code! 💬 Get a better experience than ChatGPT + Bing ⚡️ We used our integration with Metaphor - a search engine designed for LLMs - to pull in relevant text from the internet. Additionally: - you can now view the tools that the agent is using. - note: web search is only accessible for our OpenAI agent Check out the video below, and get started with the repo today. Repo:

Introducing RAGs v3 🌟: Build a RAG bot that can also search the web 🌐, to find answers that aren’t immediately in its corpus. Do this all in natural language, not code! 💬 Get a better experience than ChatGPT + Bing ⚡️ We used our integration with Metaphor - a search engine designed for LLMs - to pull in relevant text from the internet. Additionally: - you can now view the tools that the agent is using. - note: web search is only accessible for our OpenAI agent Check out the video below, and get started with the repo today. Repo:

LlamaIndex 🦙

76,371 次观看 • 2 年前

No more April Fools jokes, I'm still at Replit ⠕. Now this is real big thing: Replit Agent can now build mobile + web apps in the same project, from one prompt. Mobile and web share the same backend + database. this used to take two frontend teams, with separate stacks, and a backend team. now Replit Agent has been upgraded to handle all. including shipping to web and App Store If you are building your own product, this is my gift for you here are 3 examples with prompt instructions ↓

No more April Fools jokes, I'm still at Replit ⠕. Now this is real big thing: Replit Agent can now build mobile + web apps in the same project, from one prompt. Mobile and web share the same backend + database. this used to take two frontend teams, with separate stacks, and a backend team. now Replit Agent has been upgraded to handle all. including shipping to web and App Store If you are building your own product, this is my gift for you here are 3 examples with prompt instructions ↓

Zhen Li

20,802 次观看 • 5 个月前

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.

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.

Santiago

46,142 次观看 • 1 年前

You shipped your app. Now what? Your app may look great, but if no one can find it, it stays invisible Publishing is only the beginning Meet SEO Agent. It runs a scan for you and suggests fixes to help your app get discovered in web & AI search

You shipped your app. Now what? Your app may look great, but if no one can find it, it stays invisible Publishing is only the beginning Meet SEO Agent. It runs a scan for you and suggests fixes to help your app get discovered in web & AI search

Replit ⠕

719,858 次观看 • 3 个月前

starting today Julius can go beyond just answering your questions, now it can spin up browser sessions and take actions across the web using our new browser agent we're pumped to be partnering with Browserbase and Paul Klein IV to bring this capability to our users browser agent in Julius is completely free this week. give it a try!

starting today Julius can go beyond just answering your questions, now it can spin up browser sessions and take actions across the web using our new browser agent we're pumped to be partnering with Browserbase and Paul Klein IV to bring this capability to our users browser agent in Julius is completely free this week. give it a try!

rahul

42,379 次观看 • 2 个月前

It takes 5 minutes to create a world-class web research agent that runs 24/7 and returns structured search results. 1. You can limit the sources it's allowed to use 2. You can specify the goals it needs to complete 3. You can design the format structure of the results 4. You can configure how much computing power it will use I show you how to set up a Web Search Agent in the video. A few benefits here: 1. This is great for complex research tasks 2. It's really easy to add this like a LEGO piece to a more complex workflow 3. Create an agent once, and reuse it with different inputs 4. The agent adapts to your use case as you work with it By the way, Nimble published a whole library of templates and research agents you can reuse and modify. You can start sending queries to one of these existing agents, and it will begin to adapt to Go here to try it out: Thanks to the Nimble team for partnering with me on this post.

It takes 5 minutes to create a world-class web research agent that runs 24/7 and returns structured search results. 1. You can limit the sources it's allowed to use 2. You can specify the goals it needs to complete 3. You can design the format structure of the results 4. You can configure how much computing power it will use I show you how to set up a Web Search Agent in the video. A few benefits here: 1. This is great for complex research tasks 2. It's really easy to add this like a LEGO piece to a more complex workflow 3. Create an agent once, and reuse it with different inputs 4. The agent adapts to your use case as you work with it By the way, Nimble published a whole library of templates and research agents you can reuse and modify. You can start sending queries to one of these existing agents, and it will begin to adapt to Go here to try it out: Thanks to the Nimble team for partnering with me on this post.

Santiago

21,079 次观看 • 1 个月前

Introducing the Studio, our platform for developers to run automations at scale, and Runner H, the most advanced agent to date — designed to navigate web interfaces through pixel-level interpretation and semantic understanding. You can now turn your instructions into action with human-like precision.

Introducing the Studio, our platform for developers to run automations at scale, and Runner H, the most advanced agent to date — designed to navigate web interfaces through pixel-level interpretation and semantic understanding. You can now turn your instructions into action with human-like precision.

H

122,208 次观看 • 1 年前

You all wanna see the future? We're bringing it to you. Here's SupraOS' Agent Orchestration Demonstration, real Supra Oracle data, real web search, real agent coordination. The next video we'll show you AI Agent DeFi Trading ;) Those of you that adopt tools like this are going to be MILES AHEAD of folks that don't. We've selected the first cohort of SupraOS Alpha users, you'll be notified soon. Your SUPERPOWERS await... p.s. there will be at least 5 ways $SUPRA will be used to power SupraOS.

You all wanna see the future? We're bringing it to you. Here's SupraOS' Agent Orchestration Demonstration, real Supra Oracle data, real web search, real agent coordination. The next video we'll show you AI Agent DeFi Trading ;) Those of you that adopt tools like this are going to be MILES AHEAD of folks that don't. We've selected the first cohort of SupraOS Alpha users, you'll be notified soon. Your SUPERPOWERS await... p.s. there will be at least 5 ways $SUPRA will be used to power SupraOS.

Josh Tobkin (SUPRA)

32,478 次观看 • 4 个月前

Meet Apodex 1.1: Scaling Agentic Intelligence for Complex Work Open Source Harness: Open Weights: We’re excited to introduce Apodex 1.1, our new model family built to scale agentic intelligence for professional work. 🧠 Frontier-level intelligence for complex work Apodex 1.1 brings frontier-level agentic performance across complex professional work, scientific research, financial analysis, and deep search. 🤝 Asynchronous Agent Team Apodex 1.1 can break down complex tasks, coordinate multiple agents in parallel, continuously integrate their findings, and let you step in to guide or redirect the work at any time. 🔬 Open-source research workbench We’re open-sourcing FrontierAgent—a locally deployable research workbench for the Apodex 1.1 family, including asynchronous Agent Team. Available now: 🔹 Apodex 1.1 — our most capable frontier model, available through the Apodex online workbench 🔹 Apodex 1.1 mini — open-weight model for running complex work locally 🔹 FrontierAgent — open-source, locally deployable research workbench 🌐 Live workbench: 🦾 API platform: 📃 Paper:

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Apodex

927,224 次观看 • 24 天前

🚀Launching CoAgents Public Beta 🪁: Everything you need to build Agent-Native applications, powered by LangGraph & CopilotKit. CoAgents enables in-app agents with: - Agenetic generative UI ✨ - Shared state (between agent application) - Streaming intermediate agent state - Human-in-the-Loop (Human approval & planning) 👨‍🦰 - Frontend Actions 💪 --- We’ve recently seen the emergence of Agent-Native applications that actually work: powered by vertical AI agents + agentic UX + deep in-app integration. (Apps like the Replit AI Agent, OpenAI Canvas, etc, but for any domain) With CoAgents + LangGraph, you can build this next generation of agent apps, for any vertical, with a clean and easy to use infrastructure (in hours). 💻Get started: 🗞️Blog: 🕹️Demo: 🗓️Webinar (Build an Agent-Native Apps with CoAgents & LangGraph): CC: Atai Barkai, , Harrison Chase

🚀Launching CoAgents Public Beta 🪁: Everything you need to build Agent-Native applications, powered by LangGraph & CopilotKit. CoAgents enables in-app agents with: - Agenetic generative UI ✨ - Shared state (between agent application) - Streaming intermediate agent state - Human-in-the-Loop (Human approval & planning) 👨‍🦰 - Frontend Actions 💪 --- We’ve recently seen the emergence of Agent-Native applications that actually work: powered by vertical AI agents + agentic UX + deep in-app integration. (Apps like the Replit AI Agent, OpenAI Canvas, etc, but for any domain) With CoAgents + LangGraph, you can build this next generation of agent apps, for any vertical, with a clean and easy to use infrastructure (in hours). 💻Get started: 🗞️Blog: 🕹️Demo: 🗓️Webinar (Build an Agent-Native Apps with CoAgents & LangGraph): CC: Atai Barkai, , Harrison Chase

CopilotKit🪁

51,678 次观看 • 1 年前

Last year, we integrated into the Google Gemini by allowing you to upload your notebooks as sources. Now, we’re taking our relationship to the next level 🏠 ♥️ Starting today, you can now: — Access all of your personal, unshared notebooks directly inside the Gemini App — Use your chats with Gemini as sources in new or existing unshared notebooks We're rolling out notebooks in Gemini today, starting with Google AI Ultra, Pro, and Plus subscribers on the web. In the coming weeks, we'll expand access to mobile, more countries across Europe, and to free users.

Last year, we integrated into the Google Gemini by allowing you to upload your notebooks as sources. Now, we’re taking our relationship to the next level 🏠 ♥️ Starting today, you can now: — Access all of your personal, unshared notebooks directly inside the Gemini App — Use your chats with Gemini as sources in new or existing unshared notebooks We're rolling out notebooks in Gemini today, starting with Google AI Ultra, Pro, and Plus subscribers on the web. In the coming weeks, we'll expand access to mobile, more countries across Europe, and to free users.

Gemini Notebook

1,094,070 次观看 • 5 个月前

Introducing Agent Mode: Agentic AI is now measured in the Arena. Agent Mode can do deep research, create reports, generate images, build websites, debug code, and more. It completes more complex tasks by using tools like web search, bash in a sandbox environment, image generation, file writing, and asking follow-up questions. Frontier models are waiting for you in Agent Mode to take on real-world tasks. GPT-5.5, Claude Opus 4.7, Gemini 3.1 Pro, and top open models. Test them yourself.

Introducing Agent Mode: Agentic AI is now measured in the Arena. Agent Mode can do deep research, create reports, generate images, build websites, debug code, and more. It completes more complex tasks by using tools like web search, bash in a sandbox environment, image generation, file writing, and asking follow-up questions. Frontier models are waiting for you in Agent Mode to take on real-world tasks. GPT-5.5, Claude Opus 4.7, Gemini 3.1 Pro, and top open models. Test them yourself.

Arena.ai

502,455 次观看 • 3 个月前

OptimAI Search just got better. Refreshed UI. Deeper research. More powerful context. Search across public + social web, process hundreds to thousands of real-time data points, and get structured, actionable outputs. Live at: OptimAI is currently the #1 AI on BNB Chain DappBay. Now integrated with Agent Marketplace: create your own agent, inject domain knowledge, and publish it for others to use and build on. Free to use with daily refresh credits. 💡Soon, builders will also be able to use OPI points for premium access and monetize agents that create real value for the community.

OptimAI Search just got better. Refreshed UI. Deeper research. More powerful context. Search across public + social web, process hundreds to thousands of real-time data points, and get structured, actionable outputs. Live at: OptimAI is currently the #1 AI on BNB Chain DappBay. Now integrated with Agent Marketplace: create your own agent, inject domain knowledge, and publish it for others to use and build on. Free to use with daily refresh credits. 💡Soon, builders will also be able to use OPI points for premium access and monetize agents that create real value for the community.

OptimAI Network

15,781 次观看 • 4 个月前

LobeChat is an open-source, multi-model interface with 70k stars and 6 million downloads. Now, they have evolved into LobeHub. What caught the attention is that they're taking the agent harness to the next level. Most agent platforms, including Manus and Claude Cowork, treat agents as one-off executors. You prompt, they respond, and the context resets. That works for small jobs and breaks down for anything complex. LobeHub takes a different approach: Anyone can easily find, build, and collaborate with agent teammates that grow with users.🧵

LobeChat is an open-source, multi-model interface with 70k stars and 6 million downloads. Now, they have evolved into LobeHub. What caught the attention is that they're taking the agent harness to the next level. Most agent platforms, including Manus and Claude Cowork, treat agents as one-off executors. You prompt, they respond, and the context resets. That works for small jobs and breaks down for anything complex. LobeHub takes a different approach: Anyone can easily find, build, and collaborate with agent teammates that grow with users.🧵

GitHub Projects Community

12,334 次观看 • 7 个月前

Testing Replit ⠕ Agent 4 and its actually cracked Been a power user of Replit for like a year now and this new update makes it feel like a whole new platform Just updated my portfolio and it was like 5x simpler to do now than before - Agent Tasks on left lets you do hella things at once - Shell still runs Claude like its a terminal - Design section has built in previews + prompts to give you UI remix options - Skills are built into Agent prompting - iOS apps have options to go straight to the App Store I know two people IRL who built 2-3 apps with Replit from ZERO AI experience IMO Replit is still the easiest to use platform (especially for beginners) for anything videcoding related

Testing Replit ⠕ Agent 4 and its actually cracked Been a power user of Replit for like a year now and this new update makes it feel like a whole new platform Just updated my portfolio and it was like 5x simpler to do now than before - Agent Tasks on left lets you do hella things at once - Shell still runs Claude like its a terminal - Design section has built in previews + prompts to give you UI remix options - Skills are built into Agent prompting - iOS apps have options to go straight to the App Store I know two people IRL who built 2-3 apps with Replit from ZERO AI experience IMO Replit is still the easiest to use platform (especially for beginners) for anything videcoding related

ashen

30,418 次观看 • 6 个月前

Introducing the Generative UI Research Canvas ✨ Every agent needs a powerful UI Combine LangChain, Tavily, Tako and CopilotKit🪁 and you get a LangChain-based research agent with a Generative UI-driven frontend. When agents can explore the underlying data, research becomes more trustworthy and useful. How does this work? - LangChain manages the agent workflow and tool orchestration. - Tako converts retrieved data into structured, visual components - Tavily provides agentic search - CopilotKit renders those components in the UI and keeps the user in the loop while the agent is working So instead of a boring and static report, the output is an interactive research canvas that evolves as the agent runs. 2026 is the year where users want to see the output, not read it... Generative UI makes this possible for agentic applications. Tutorial: Open-Source Repo: Docs:

Introducing the Generative UI Research Canvas ✨ Every agent needs a powerful UI Combine LangChain, Tavily, Tako and CopilotKit🪁 and you get a LangChain-based research agent with a Generative UI-driven frontend. When agents can explore the underlying data, research becomes more trustworthy and useful. How does this work? - LangChain manages the agent workflow and tool orchestration. - Tako converts retrieved data into structured, visual components - Tavily provides agentic search - CopilotKit renders those components in the UI and keeps the user in the loop while the agent is working So instead of a boring and static report, the output is an interactive research canvas that evolves as the agent runs. 2026 is the year where users want to see the output, not read it... Generative UI makes this possible for agentic applications. Tutorial: Open-Source Repo: Docs:

Atai Barkai

11,997 次观看 • 7 个月前