Загрузка видео...

Не удалось загрузить видео

На главную

Your AI agent is writing code nobody reviewed and running it on your machine. Most teams answer "where does it run" with a container and a hope. Introducing CreateOS Sandbox. Run code you cannot trust, with the networking, egress control, and self-hosting you need. 🧵

BuildOnNodeOps's profile picture

NodeOps Network

74,903 subscribers

13,508 просмотров • 10 дней назад •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

Комментарии: 0

Нет доступных комментариев

Здесь появятся комментарии из оригинального поста

Похожие видео

introducing vmux: `vmux run` bundles and runs your code in a long-running cloudflare container and gives you a preview url in under 5s its a drop-in for uv run - close your laptop, run a tinker training job, come back and reattach via tmux!
2:50

introducing vmux: `vmux run` bundles and runs your code in a long-running cloudflare container and gives you a preview url in under 5s its a drop-in for uv run - close your laptop, run a tinker training job, come back and reattach via tmux!

Surya

215,005 просмотров • 6 месяцев назад

You probably know OpenClaw🦞, one of the fastest-growing open-source projects around. An OpenClaw harness lets you build, code, analyze, and take real control of your machine. But the more access an agent has to your machine, the more it matters where your data goes & who can see it. With QVAC, you can run your OpenClaw agent fully on your own machine in a few minutes. Nothing leaves your computer. Full setup guide on the blog, see first comment below. 💡 Pro tip: already running OpenClaw? Send the blog article to your agent and let the it do the set up.
1:44

You probably know OpenClaw🦞, one of the fastest-growing open-source projects around. An OpenClaw harness lets you build, code, analyze, and take real control of your machine. But the more access an agent has to your machine, the more it matters where your data goes & who can see it. With QVAC, you can run your OpenClaw agent fully on your own machine in a few minutes. Nothing leaves your computer. Full setup guide on the blog, see first comment below. 💡 Pro tip: already running OpenClaw? Send the blog article to your agent and let the it do the set up.

QVAC

15,013,509 просмотров • 24 дней назад

Arena was the demo. Autopilot is the product. Introducing Agent Trader R2: run your own AI trading strategy with your capital on Sui Transparent, controllable, and rewarded. 🧵
0:27

Arena was the demo. Autopilot is the product. Introducing Agent Trader R2: run your own AI trading strategy with your capital on Sui Transparent, controllable, and rewarded. 🧵

Beep

81,484 просмотров • 3 месяцев назад

Open Interpreter is like ChatGPT Code Interpreter, but you can run it locally on your computer, and it is 100% open-source. Write and execute code, analyze data, control your computer, and more. Great work killian Here's how to install and use it: 👇
1:30

Open Interpreter is like ChatGPT Code Interpreter, but you can run it locally on your computer, and it is 100% open-source. Write and execute code, analyze data, control your computer, and more. Great work killian Here's how to install and use it: 👇

Matthew Berman

142,901 просмотров • 2 лет назад

Happycapy is now open to everyone 🚀 The agent-native computer, in your browser, and now on your phone. > Powered by Claude Code + MiniMax, including Opus 4.6 and Minimax M2.5 > Your own secure cloud sandbox > Run agent teams. Automate task Not just another OpenClaw. It’s all-in-one. No installs. Just run.
1:42

Happycapy is now open to everyone 🚀 The agent-native computer, in your browser, and now on your phone. > Powered by Claude Code + MiniMax, including Opus 4.6 and Minimax M2.5 > Your own secure cloud sandbox > Run agent teams. Automate task Not just another OpenClaw. It’s all-in-one. No installs. Just run.

Jarod Xu

1,105,213 просмотров • 5 месяцев назад

This is literally the easiest way to build an AI agent. Zero code. You only need to run a couple of commands. (I've said this before, but Google ADK is my favorite way to build code-first agents.) Here is what you need to do: 1. Open your terminal and create an empty folder 2. Run `uv init` inside the folder (if you don't have uv installed, you are really missing out!) 3. Install the google-adk library using the following command: `uv add google-adk`. 4. At this point, you can use the ask to create your agent with a single command: `uv run adk create --type=config my_agent`. This will ask you a couple of questions, including your GEMINI_API_KEY (you can create one online). 5. The command above will create a my_agent/root_agent.yaml file. Open it and add the following two lines at the end of the file so your agent can use Google to search for stuff: tools: - name: google_search 6. You have everything you need now. Run the adk web interface and start playing with your agent: `uv run adk web` That's it! Literally zero code. The agent works off the YAML configuration file.
1:33

This is literally the easiest way to build an AI agent. Zero code. You only need to run a couple of commands. (I've said this before, but Google ADK is my favorite way to build code-first agents.) Here is what you need to do: 1. Open your terminal and create an empty folder 2. Run `uv init` inside the folder (if you don't have uv installed, you are really missing out!) 3. Install the google-adk library using the following command: `uv add google-adk`. 4. At this point, you can use the ask to create your agent with a single command: `uv run adk create --type=config my_agent`. This will ask you a couple of questions, including your GEMINI_API_KEY (you can create one online). 5. The command above will create a my_agent/root_agent.yaml file. Open it and add the following two lines at the end of the file so your agent can use Google to search for stuff: tools: - name: google_search 6. You have everything you need now. Run the adk web interface and start playing with your agent: `uv run adk web` That's it! Literally zero code. The agent works off the YAML configuration file.

Santiago

140,737 просмотров • 7 месяцев назад

New Feature: Run an agent without writing a line of code ✨ Our new console feature starts a session, attaches an agent, and lets you control the web via language.
0:51

New Feature: Run an agent without writing a line of code ✨ Our new console feature starts a session, attaches an agent, and lets you control the web via language.

Notte

16,077 просмотров • 11 месяцев назад

IN 1986 MIT FILMED THE LECTURE WHERE CODE STOPPED BEING CODE AND BECAME DATA 43 minutes from Gerald Sussman, in the most legendary intro programming course ever recorded. -> The idea that lands: to a program, your code is just data it can read and rewrite. He builds a program that does real calculus -- not by crunching numbers, but by reading the math as a list and transforming it piece by piece. Then he shows the trick hiding under all of it: in this language, code and data are the same material. Forty years later that is exactly what an AI coding agent is -- a program that reads your code as data, rewrites it, and hands it back. Sussman drew the whole idea on a blackboard in 1986. Writing code was never the deepest skill -- understanding that code itself is data a program can manipulate is. This is where you learn it. Most people think AI writing code is brand new. The ones who watch this saw the blueprint 40 years ago. Bookmark & Watch it. This one's a legend ↓
43:30

IN 1986 MIT FILMED THE LECTURE WHERE CODE STOPPED BEING CODE AND BECAME DATA 43 minutes from Gerald Sussman, in the most legendary intro programming course ever recorded. -> The idea that lands: to a program, your code is just data it can read and rewrite. He builds a program that does real calculus -- not by crunching numbers, but by reading the math as a list and transforming it piece by piece. Then he shows the trick hiding under all of it: in this language, code and data are the same material. Forty years later that is exactly what an AI coding agent is -- a program that reads your code as data, rewrites it, and hands it back. Sussman drew the whole idea on a blackboard in 1986. Writing code was never the deepest skill -- understanding that code itself is data a program can manipulate is. This is where you learn it. Most people think AI writing code is brand new. The ones who watch this saw the blueprint 40 years ago. Bookmark & Watch it. This one's a legend ↓

slash1s

22,107 просмотров • 18 дней назад

Claude Code is now free to run. Most people still think you need a paid setup. Here’s the basic flow: → Install Claude Code with the official installer. → Create a free OpenRouter account. → Grab your API key. → Install Claude Code Router. → Point Claude Code to the local router. → Choose a free model with the :free suffix. → Run CCR code instead of normal Claude Code. → Check /status to confirm it works. You keep the Claude Code workflow. You just route it through a free model.
9:31

Claude Code is now free to run. Most people still think you need a paid setup. Here’s the basic flow: → Install Claude Code with the official installer. → Create a free OpenRouter account. → Grab your API key. → Install Claude Code Router. → Point Claude Code to the local router. → Choose a free model with the :free suffix. → Run CCR code instead of normal Claude Code. → Check /status to confirm it works. You keep the Claude Code workflow. You just route it through a free model.

Julian Goldie SEO

17,618 просмотров • 1 месяц назад

I built 🐨 Kody to address all the frustrations I had with personal assistants. One of the best parts about Kody is it augments your favorite agent and encourages it to move from one-off prompt to deterministic triggerable code run in a sandbox.
22:09

I built 🐨 Kody to address all the frustrations I had with personal assistants. One of the best parts about Kody is it augments your favorite agent and encourages it to move from one-off prompt to deterministic triggerable code run in a sandbox.

Kent C. Dodds 🏹

21,619 просмотров • 12 дней назад

You can now schedule recurring cloud-based tasks on Claude Code. Set a repo (or repos), a schedule, and a prompt. Claude runs it via cloud infra on your schedule, so you don’t need to keep Claude Code running on your local machine.
0:27

You can now schedule recurring cloud-based tasks on Claude Code. Set a repo (or repos), a schedule, and a prompt. Claude runs it via cloud infra on your schedule, so you don’t need to keep Claude Code running on your local machine.

Noah Zweben

2,033,809 просмотров • 3 месяцев назад

You don't need 40 different AI agents. You only need 1. I run a $100k/month business and it's all done with a single agent using Claude Code + Obsidian. This 7 minute video will show you how I set it up.
6:50

You don't need 40 different AI agents. You only need 1. I run a $100k/month business and it's all done with a single agent using Claude Code + Obsidian. This 7 minute video will show you how I set it up.

Jared Rhodenizer

81,217 просмотров • 7 дней назад

Claude Code is now completely free forever 🤯 Google just dropped Gemma 4 on Ollama, which means you can run Claude Code locally with zero API bills and zero subscriptions. Just install Gemma 4, connect it to Claude Code, and suddenly you have free AI agents running directly on your computer. Google may have just killed AI subscription costs. 🚀
0:28

Claude Code is now completely free forever 🤯 Google just dropped Gemma 4 on Ollama, which means you can run Claude Code locally with zero API bills and zero subscriptions. Just install Gemma 4, connect it to Claude Code, and suddenly you have free AI agents running directly on your computer. Google may have just killed AI subscription costs. 🚀

Julian Goldie SEO

606,522 просмотров • 3 месяцев назад

BREAKING 🚨 Your coworker is an AI agent. Nobody noticed. Introducing Xoul - the marketplace for agents that feel human. On Xoul, anyone can create and share powerful agents that work together in “swarms” without writing a single line of code. Can you spot the AI intruder?
2:55

BREAKING 🚨 Your coworker is an AI agent. Nobody noticed. Introducing Xoul - the marketplace for agents that feel human. On Xoul, anyone can create and share powerful agents that work together in “swarms” without writing a single line of code. Can you spot the AI intruder?

emil

138,709 просмотров • 1 год назад

Today we're launching Paxel: a free tool that analyzes your Claude, Codex, and Cursor coding sessions and gives you a profile of how you build with AI. It runs locally inside Docker, and your code never leaves your machine. Try it at
2:03

Today we're launching Paxel: a free tool that analyzes your Claude, Codex, and Cursor coding sessions and gives you a profile of how you build with AI. It runs locally inside Docker, and your code never leaves your machine. Try it at

Y Combinator

586,432 просмотров • 1 месяц назад

Xiaomi just dropped a FREE CLAUDE CODE with memory that actually persists between sessions and nobody is talking about it MiMo Code dropped 4 days ago. 8k GitHub stars. Built-in free model called MiMo Auto - you just install it and it works, zero configuration, zero API keys What's inside: > persistent memory across sessions - agent picks up exactly where it stopped > subagents that spawn automatically and run in parallel > /dream extracts knowledge from your session into project memory > /distill turns your repeated workflows into reusable skills > /goal with a judge model that decides if the work is actually done - not just if the agent thinks it is How to install: > Mac / Linux: curl -fsSL | bash > Windows npm install -g MIMO-ai/cli Then run: > mimo video of me installing and running it is attached github(.)com/XiaomiMiMo/MiMo-Code
0:50

Xiaomi just dropped a FREE CLAUDE CODE with memory that actually persists between sessions and nobody is talking about it MiMo Code dropped 4 days ago. 8k GitHub stars. Built-in free model called MiMo Auto - you just install it and it works, zero configuration, zero API keys What's inside: > persistent memory across sessions - agent picks up exactly where it stopped > subagents that spawn automatically and run in parallel > /dream extracts knowledge from your session into project memory > /distill turns your repeated workflows into reusable skills > /goal with a judge model that decides if the work is actually done - not just if the agent thinks it is How to install: > Mac / Linux: curl -fsSL | bash > Windows npm install -g MIMO-ai/cli Then run: > mimo video of me installing and running it is attached github(.)com/XiaomiMiMo/MiMo-Code

monokern

63,392 просмотров • 28 дней назад

Gemma 4 + Ollama + Claude Code = A FREE local coding agent setup 🔥 Full Tutorial: You can run agentic workflows in your terminal with no API limits, no cloud dependency, and full control over your stack. Claude Code plus Ollama with Anthropic API compatibility.
0:43

Gemma 4 + Ollama + Claude Code = A FREE local coding agent setup 🔥 Full Tutorial: You can run agentic workflows in your terminal with no API limits, no cloud dependency, and full control over your stack. Claude Code plus Ollama with Anthropic API compatibility.

WorldofAI

26,206 просмотров • 3 месяцев назад

Introducing EvoSkill V1, an open-source toolkit that takes a benchmark and a coding agent, and evolves it into a state-of-the-art specialist in minutes. Here’s all you need to start evolving, starting with your Claude Code ↓
0:36

Introducing EvoSkill V1, an open-source toolkit that takes a benchmark and a coding agent, and evolves it into a state-of-the-art specialist in minutes. Here’s all you need to start evolving, starting with your Claude Code ↓

Sentient

30,007 просмотров • 2 месяцев назад

Imagine a computer where you don’t need to learn 10 apps to get work done. You just tell it what you want, and it adapts to how you work. I tested Happycapy with a real use case and created an image and a video. No coding, no complex software. Do this: - Build automations that run on schedule - Deploy agent teams that work for you AI molds how you work, not the other way around. If you can use a computer, you can make anything happen. Start your first Automation and Agent teams today.
0:24

Imagine a computer where you don’t need to learn 10 apps to get work done. You just tell it what you want, and it adapts to how you work. I tested Happycapy with a real use case and created an image and a video. No coding, no complex software. Do this: - Build automations that run on schedule - Deploy agent teams that work for you AI molds how you work, not the other way around. If you can use a computer, you can make anything happen. Start your first Automation and Agent teams today.

Aaliya

17,042 просмотров • 4 месяцев назад