正在加载视频...

视频加载失败

加载此视频时出现问题。这可能是由于临时网络问题，或视频可能不可用。

introducing agent-loops + ui viewer i gave droid+gpt5.2 codex dannys tweet asked to reverse engineer it then rebuilt matts loop system (gh issue → pr) hooked them together so you can run loops by creating issues locally, on gh or in your own ui. (+ stole Mario Zechner's session... show more

Ben Tossell

195,620 subscribers

115,991 次观看 • 5 个月前 •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

0 条评论

暂无评论

原始帖子的评论将显示在这里

相关视频

i have created a master loop harness that allows you to run perpetual mission loops that create goal loops that then spawn agent loops which then run their own workflow loops which finally run the tool loops. i really wish i was joking 🙃

i have created a master loop harness that allows you to run perpetual mission loops that create goal loops that then spawn agent loops which then run their own workflow loops which finally run the tool loops. i really wish i was joking 🙃

Nathan Wilbanks

64,671 次观看 • 15 天前

Stop leaving your Agent stateless. Give it Threads in one hook. Resumable conversations that capture everything: messages, generative UI, shared state, human-in-the-loop workflows. Built on AG-UI, so it works with any compatible agent framework. docs:

Stop leaving your Agent stateless. Give it Threads in one hook. Resumable conversations that capture everything: messages, generative UI, shared state, human-in-the-loop workflows. Built on AG-UI, so it works with any compatible agent framework. docs:

Atai Barkai

40,879 次观看 • 1 个月前

Big release here! AG-UI 🤝 Google A2A Embed A2A multi-agent meshes in your frontend, and build fullstack multi-agent apps with A2A and AG-UI. 🔍How it works: Simply drop-in A2A agent endpoints, and an A2A AG-UI orchestrator agent will bi-directionally stream events between your Agents & application. Includes: - UI for A2A Interactions - Generative UI for Agent Tool Calls - Human-in-the Loop Approvals - State Synchronization (agent mesh application state) - Frontend Tool Calls for A2A Agents Watch the demo below > LangChain LangGraph & Google ADK agents working together simultaneously inside an app Demo GitHub, docs, and more 👇

Big release here! AG-UI 🤝 Google A2A Embed A2A multi-agent meshes in your frontend, and build fullstack multi-agent apps with A2A and AG-UI. 🔍How it works: Simply drop-in A2A agent endpoints, and an A2A AG-UI orchestrator agent will bi-directionally stream events between your Agents & application. Includes: - UI for A2A Interactions - Generative UI for Agent Tool Calls - Human-in-the Loop Approvals - State Synchronization (agent mesh application state) - Frontend Tool Calls for A2A Agents Watch the demo below > LangChain LangGraph & Google ADK agents working together simultaneously inside an app Demo GitHub, docs, and more 👇

CopilotKit🪁

30,557 次观看 • 8 个月前

Introducing /ui-test Give your agent a PR, and it'll test your feature in a real browser, generating an HTML report with UI fixes The planner agent generates adversarial test cases to break your app, assigns them to subagents, and evaluates the page using the Browserbase CLI We reviewed a merged PR on Cal.com and found a bunch of small UI nits:

Introducing /ui-test Give your agent a PR, and it'll test your feature in a real browser, generating an HTML report with UI fixes The planner agent generates adversarial test cases to break your app, assigns them to subagents, and evaluates the page using the Browserbase CLI We reviewed a merged PR on Cal.com and found a bunch of small UI nits:

Shrey Pandya

57,480 次观看 • 2 个月前

You can now run Codex & Claude Code from your phone. I added it to The Vibe Companion. Claude Code or Codex, same UI, no extra API costs. Pick your agent. Ship from anywhere. Install -> bunx the-vibe-companion

You can now run Codex & Claude Code from your phone. I added it to The Vibe Companion. Claude Code or Codex, same UI, no extra API costs. Pick your agent. Ship from anywhere. Install -> bunx the-vibe-companion

Stan Girard

28,356 次观看 • 4 个月前

Introducing Shadify: Generative UI built on ShadCN Simply describe a UI and watch your LangChain agent compose from shadcn on the fly, using AG-UI and CopilotKit🪁. Then export it as React code. Repo below. Try it out here:

Introducing Shadify: Generative UI built on ShadCN Simply describe a UI and watch your LangChain agent compose from shadcn on the fly, using AG-UI and CopilotKit🪁. Then export it as React code. Repo below. Try it out here:

Atai Barkai

137,922 次观看 • 3 个月前

Karpathy compressed the agent problem into 1 sentence: "If you can't evaluate then you can't auto research it, right?" That's the rule I keep coming back to with long-running coding agents Before you launch /goal or /loop, write the verifier: - what counts as done - what evidence proves it - which checks run every pass - which artifact gets saved - which failure sends it back into the loop Then let the agent run The loop can keep going because proof sits outside the agent's own explanation Tests, screenshots, benchmark curves, browser runs, changed files That's how you get autonomy without babysitting a transcript for 6 hours Read the full breakdown on goals, verifiers, loops, artifacts, and session memory in the article below

Karpathy compressed the agent problem into 1 sentence: "If you can't evaluate then you can't auto research it, right?" That's the rule I keep coming back to with long-running coding agents Before you launch /goal or /loop, write the verifier: - what counts as done - what evidence proves it - which checks run every pass - which artifact gets saved - which failure sends it back into the loop Then let the agent run The loop can keep going because proof sits outside the agent's own explanation Tests, screenshots, benchmark curves, browser runs, changed files That's how you get autonomy without babysitting a transcript for 6 hours Read the full breakdown on goals, verifiers, loops, artifacts, and session memory in the article below

Alpha Batcher

43,806 次观看 • 9 天前

Dumb loops beat clever workflows. A great talk about Ralph Loops. Build Dumb AI Loops That Ship by Chris Parsons. Most teams building with AI agents reach for multi-agent orchestration, planning graphs, and elaborate tool chains. Then they spend months debugging them. A single loop that processes one ticket at a time, evaluates its own output, and improves on the next run will outperform all of it.

Dumb loops beat clever workflows. A great talk about Ralph Loops. Build Dumb AI Loops That Ship by Chris Parsons. Most teams building with AI agents reach for multi-agent orchestration, planning graphs, and elaborate tool chains. Then they spend months debugging them. A single loop that processes one ticket at a time, evaluates its own output, and improves on the next run will outperform all of it.

𝗿𝗮𝗺𝗮𝗸𝗿𝘂𝘀𝗵𝗻𝗮— 𝗲/𝗮𝗰𝗰

23,908 次观看 • 12 天前

UI Skills are now easier for agents. Introducing UI Skills CLI. ask Codex, Cursor, Claude Code, or any agent to use the CLI, like: "use `npx ui-skills start` to fix the motion in this dialog" it finds the best design-engineering skill for the job and uses it as context

UI Skills are now easier for agents. Introducing UI Skills CLI. ask Codex, Cursor, Claude Code, or any agent to use the CLI, like: "use `npx ui-skills start` to fix the motion in this dialog" it finds the best design-engineering skill for the job and uses it as context

Ibelick

58,586 次观看 • 7 天前

🎨 Design freely with Agent 4. - Design while the agent builds. - Explore multiple UI variants on an infinite canvas. - Make precise UI edits that you can apply directly to your app.

🎨 Design freely with Agent 4. - Design while the agent builds. - Explore multiple UI variants on an infinite canvas. - Make precise UI edits that you can apply directly to your app.

Replit ⠕

184,057 次观看 • 3 个月前

an OpenAI engineer just showed how he gets agents to do his whole job: code, debug and more, using loops 29 minutes from the engineer who coined "harness engineering" he writes the rules, agents write the code, a reviewer agent loops until it's right the winners won't have the smartest model, they'll have the best loop around it watch it, then read the full guide on loops below

an OpenAI engineer just showed how he gets agents to do his whole job: code, debug and more, using loops 29 minutes from the engineer who coined "harness engineering" he writes the rules, agents write the code, a reviewer agent loops until it's right the winners won't have the smartest model, they'll have the best loop around it watch it, then read the full guide on loops below

Anatoli Kopadze

160,385 次观看 • 1 天前

system for loop challenges is mostly finished, this is how it will look, there will be predefined circuits that have sets/sequences of loops and loop sections around them, on the video - set of 1 loop and 1 section for quick example

system for loop challenges is mostly finished, this is how it will look, there will be predefined circuits that have sets/sequences of loops and loop sections around them, on the video - set of 1 loop and 1 section for quick example

Andrei Mishanin

27,221 次观看 • 10 个月前

Did you know Cursor can watch output from terminals and take action? It's very extensible. I used it to make a /loop skill, which wakes the agent up on a schedule. Try "/loop until this PR merges" or "/loop 1h check #infra-logs for anything critical". Should I do /goal next?

Did you know Cursor can watch output from terminals and take action? It's very extensible. I used it to make a /loop skill, which wakes the agent up on a schedule. Try "/loop until this PR merges" or "/loop 1h check #infra-logs for anything critical". Should I do /goal next?

Jediah Katz

30,272 次观看 • 20 天前

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 • 4 个月前

I put the Codex CLI into a Ralph Wiggum loop and it built AIM (Agent Instant Messenger) then I ran ralph in multiple tabs at the same time and they all used AIM to chat/collab and design the UI look more like the classic AOL messenger (while I was at the gym for 2 hours!)

I put the Codex CLI into a Ralph Wiggum loop and it built AIM (Agent Instant Messenger) then I ran ralph in multiple tabs at the same time and they all used AIM to chat/collab and design the UI look more like the classic AOL messenger (while I was at the gym for 2 hours!)

Ian Nuttall

94,755 次观看 • 5 个月前

Swagg on MW4’s UI system: “The UI system is something we’ve never seen in a Call of Duty… the UI looks beautiful, it looks like OG MW2 UI” “Every single class you make can have its own separate operator” 🗣️

Swagg on MW4’s UI system: “The UI system is something we’ve never seen in a Call of Duty… the UI looks beautiful, it looks like OG MW2 UI” “Every single class you make can have its own separate operator” 🗣️

CoD Clipped

198,392 次观看 • 26 天前

How cool is it show an Apple dev an iOS / Mac smooth UI and them to go "that should really be impossible with our UI elements." Turns out so many things become possible when you build your own UI elements from scratch, not depending on system UI like Craft.do has done so.

How cool is it show an Apple dev an iOS / Mac smooth UI and them to go "that should really be impossible with our UI elements." Turns out so many things become possible when you build your own UI elements from scratch, not depending on system UI like Craft.do has done so.

Gergely Orosz

18,876 次观看 • 1 年前

A 100% open-source alternative to n8n! Sim is a drag-and-drop UI for creating powerful AI agent workflows: - Runs locally on your machine - Works with local LLMs I built a stock market research agent & connected it to Telegram in minutes. Here's a step-by-step guide:

A 100% open-source alternative to n8n! Sim is a drag-and-drop UI for creating powerful AI agent workflows: - Runs locally on your machine - Works with local LLMs I built a stock market research agent & connected it to Telegram in minutes. Here's a step-by-step guide:

Akshay 🚀

176,333 次观看 • 6 个月前

Introducing the Loops CLI, the easiest way for an agent to interact with Loops. 🧵

Introducing the Loops CLI, the easiest way for an agent to interact with Loops. 🧵

Loops.so

13,312 次观看 • 2 个月前

GPT Image 2 + Codex: or how to make Codex not suck at UI. Step 1: Generate a UI image (native in Codex) Step 2: Get Codex to implement the UI based on it Step 3: Get Codex to iterate until it aligns with the image as much as possible Codex is bad at initial UI, but very good at implementing a reference design, so this is your way out - iterate with the image model first and then Codex will do a good job.

GPT Image 2 + Codex: or how to make Codex not suck at UI. Step 1: Generate a UI image (native in Codex) Step 2: Get Codex to implement the UI based on it Step 3: Get Codex to iterate until it aligns with the image as much as possible Codex is bad at initial UI, but very good at implementing a reference design, so this is your way out - iterate with the image model first and then Codex will do a good job.

Peter Gostev

66,675 次观看 • 2 个月前