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Ana Sayfaya Dön

introducing matrix. the ultimate multi-agent runtime that turns your product into actual revenue and automates 99% of what it takes to run a company. probably the most different, most future-feeling agent product you've ever seen. the harness, the interface, everything is rebuilt from scratch. think of it as the... complement to codex and claude code. they write the code. matrix does literally everything else you actually need done. plug in your codex subscription and run it for free, or byok. fully free either way. this video was edited by matrix and voiced by an agent. more real cases coming soon. matrix is in beta preview right now. full launch next week. retweet + comment and we'll send invite codes to the first 200.show more

Derek Nee

13,341 subscribers

15,361 görüntüleme • 3 ay önce •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

37 Yorum

Derek Nee profil fotoğrafı

Derek Nee3 ay önce

try it directly: BNPHNH HAVYPX ESHQKJ L5GYEM SWFZ8E TA9HQP QUHQWP GVEQHB P8QVYD NS2B5V XN6WXS YSQCJN C74KNL 8BFT35 VGFSBX YDYRWF

Matrix profil fotoğrafı

Matrix3 ay önce

😎😎😎

MAMBA 🧲 profil fotoğrafı

MAMBA 🧲3 ay önce

5SmytRuQgRYRRnAVbUVLWVxoYyZhMmKrRKpEemtxpump they made a coin to fund your project on @Pumpfun fees goes to you

Maimu profil fotoğrafı

Maimu3 ay önce

There is a solana coin supporting your project Matrix! 5SmytRuQgRYRRnAVbUVLWVxoYyZhMmKrRKpEemtxpump

xWhisky profil fotoğrafı

xWhisky3 ay önce

This is pretty good project, are you interested in accepting donations through ur github?

Sil profil fotoğrafı

Sil3 ay önce

5SmytRuQgRYRRnAVbUVLWVxoYyZhMmKrRKpEemtxpump

kaize profil fotoğrafı

kaize3 ay önce

one of the best tools I've used recently - I've already migrated my entire content infrastructure from the Claude to Matrix to be honest, during the initial setup, something went haywire, and The Matrix identified my profile based on old posts (from a year ago), so I had to tell it that those were old posts and upload links and text to

Hybrid 🏃🏾 profil fotoğrafı

Hybrid 🏃🏾3 ay önce

I swear there’s a new project dropping every day with some similarity to the project. I just seen dropped the previous day. I’m overwhelmed

Harper profil fotoğrafı

Harper3 ay önce

can we donate you money trought your Github ?

Bruce Guai profil fotoğrafı

Bruce Guai3 ay önce

@matrix_build 来Matrix测试，构建第一个帮你取得影响力，获得收益的 Agent 公司。在给大家抽点测试额度，名额有限！

luka profil fotoğrafı

luka3 ay önce

code please

Derek Nee profil fotoğrafı

Derek Nee3 ay önce

QZT49G try this!

ᕼ ᐱ ᖇ Ƨ ᕼ ᐱ profil fotoğrafı

ᕼ ᐱ ᖇ Ƨ ᕼ ᐱ3 ay önce

is there new codes? 🥺

Derek Nee profil fotoğrafı

Derek Nee3 ay önce

yes! QEGAP9

Husidi profil fotoğrafı

Husidi3 ay önce

Matrix超独特，非常实用！

Colbert profil fotoğrafı

Colbert3 ay önce

@matrix_build Gm need an invite

Badass profil fotoğrafı

Badass3 ay önce

I love to try

MrBoring profil fotoğrafı

MrBoring3 ay önce

👏

刺刺河豚 profil fotoğrafı

刺刺河豚3 ay önce

8ReTVJUb5E1gS67xGYjJ3xy45P3Yrux8JqhLoBvfBAGS Someone has created a tax token for you, which will provide funding for the project if you endorse it.

kierbicAI profil fotoğrafı

kierbicAI3 ay önce

me pls thank u

TTTVV profil fotoğrafı

TTTVV3 ay önce

@matrix_build 我想要

Quixoa profil fotoğrafı

Quixoa3 ay önce

The interesting part is whether the runtime makes ownership visible after the demo. Multi-agent systems get a lot more credible when teams can see which agent acted, what it touched, and where human review still sits in the loop.

Doctor Ponzi profil fotoğrafı

Doctor Ponzi3 ay önce

a bankr community coin was made to support your project, all fees go to you

Ashique 💪 profil fotoğrafı

Ashique 💪3 ay önce

Cool

MonKMind Media🖊️ profil fotoğrafı

MonKMind Media🖊️3 ay önce

Matrix ⚛️

tofa profil fotoğrafı

tofa3 ay önce

let us fundraise the growth of this no support needed! free fees to you using @pumpfun

Felipe Andra ➔ jurishub.app profil fotoğrafı

Felipe Andra ➔ jurishub.app3 ay önce

I would love to try it out!

lurks profil fotoğrafı

lurks3 ay önce

Sent ya a DM

Türkiye In The World profil fotoğrafı

Türkiye In The World3 ay önce

@matrix_build Cong.

Guoguo Lei profil fotoğrafı

Guoguo Lei3 ay önce

is there new codes? thanks

Sanjeev profil fotoğrafı

Sanjeev3 ay önce

Exciting , and even more exciting if it would become open source

Ritesh Ranjan profil fotoğrafı

Ritesh Ranjan3 ay önce

invite code, plz

Hervé Dumoulin profil fotoğrafı

Hervé Dumoulin3 ay önce

@matrix_build I hope I might receive a code to explore your latest product achievement.

MISFITSッ profil fotoğrafı

MISFITSッ3 ay önce

Gib

Jason profil fotoğrafı

Jason3 ay önce

Love to try it

Husidi profil fotoğrafı

Husidi3 ay önce

已转，希望可以获得一个邀请码，体验最新的agent

I_am_eth profil fotoğrafı

I_am_eth3 ay önce

id like one please. 🙏

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what if you can run an entire 0-person company — without the grind of running a team? matrix is the runtime that makes it possible. in last week’s limited beta, our users created tens of thousands of new 0-person companies and started real businesses in matrix. today, matrix is open to everyone. launch yours ↓

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We spent two years building an AI that takes one goal all the way to the inbox. That required inventing a new email language. One that renders perfectly in Gmail, Apple Mail, dark mode, even Outlook 2003. Introducing Migma AI It designs one campaign and adapts it for different audiences and languages. You approve it, and it sends. It also sends from your own domain, learns from every send, and connects to Cursor, Claude Code or Codex so your agent can wire up your app's emails. Migma Pro is free for 7 days and 50% off forever for first 200 supporters. Repost and comment "Migma" and we'll send the access over. Live today ↓

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You wanted shadcn — so we built the heinous infra to make it work. Introducing Agent Arena, starting with the best: Claude Code by Anthropic Codex 5 by OpenAI Cursor Agent by Cursor Devin by Cognition Gemini CLI by Google DeepMind Grok Code Fast 1 by xAI 1/ Your prompt launches a containerized agent inside a fresh GitHub repo 2/ The agent can install packages, make tool calls, and write multi-file code 3/ The repo is deployed to Vercel by the agent, clonable to your heart's desire

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142,111 görüntüleme • 1 yıl önce

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.

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

140,922 görüntüleme • 10 ay önce

Another insane Jev use case! Jev makes it incredibly cheap to evaluate and classify agent runs at scale. And finally, someone open-sourced a self-improving memory layer that can put that capability to work across agent harnesses. It turns your agent sessions into a compounding knowledge layer, where every successful run can make future agents smarter across: - Codex - Claude Code - Cursor - OpenCode and 20+ more Beacon by Asymptote Labs continuously builds a shared history across your agent harnesses and uses Jev to identify the runs worth learning from. It then turns the best workflows, corrections, and debugging patterns into reusable skills. GitHub repo: (don’t forget to star it ⭐) Most agent runs are messy. They contain exploration, failed commands, dead ends, and one-off fixes that should never become permanent memory. So Beacon preserves the full session history, while Jev helps decide what should be promoted, reviewed, or discarded. The recording below shows this in action. Beacon found 579 sessions across 5 coding-agent harnesses and normalized them into one consistent history. From there, Jev surfaces the lessons worth keeping and makes them available across your agent stack. - A pattern learned in Cursor can carry into OpenCode. - A lesson from Claude Code can improve the next Codex run. Every successful run adds to the shared knowledge layer, making future agents smarter. If you want to dive deeper into Jev, I also wrote a breakdown of how it works. The article is quoted below.

Another insane Jev use case! Jev makes it incredibly cheap to evaluate and classify agent runs at scale. And finally, someone open-sourced a self-improving memory layer that can put that capability to work across agent harnesses. It turns your agent sessions into a compounding knowledge layer, where every successful run can make future agents smarter across: - Codex - Claude Code - Cursor - OpenCode and 20+ more Beacon by Asymptote Labs continuously builds a shared history across your agent harnesses and uses Jev to identify the runs worth learning from. It then turns the best workflows, corrections, and debugging patterns into reusable skills. GitHub repo: (don’t forget to star it ⭐) Most agent runs are messy. They contain exploration, failed commands, dead ends, and one-off fixes that should never become permanent memory. So Beacon preserves the full session history, while Jev helps decide what should be promoted, reviewed, or discarded. The recording below shows this in action. Beacon found 579 sessions across 5 coding-agent harnesses and normalized them into one consistent history. From there, Jev surfaces the lessons worth keeping and makes them available across your agent stack. - A pattern learned in Cursor can carry into OpenCode. - A lesson from Claude Code can improve the next Codex run. Every successful run adds to the shared knowledge layer, making future agents smarter. If you want to dive deeper into Jev, I also wrote a breakdown of how it works. The article is quoted below.

Akshay 🚀

118,955 görüntüleme • 7 gün önce

My new favorite way to build with agents is to organize them into a factory. This is the 4-step workflow: 1) Station. - A custom order gets its own station, so the order does not interfere with the rest of production. - In software, this station is a branch or a work tree. 2) Assembly line. - The agent writes code, changes files, and adds structure. 3) Quality control. - Does it turn on? - Does it fit? - Does it break under pressure? - In software, you run tests, open a preview, and read the logs and screenshots. 4) Shipping. - The product goes out the door. - You merge, deploy the PR, and write release notes. If a product fails quality control, you send feedback to the product team. Then you do the loop again. Write each step of your agent workflow as a factory job.

My new favorite way to build with agents is to organize them into a factory. This is the 4-step workflow: 1) Station. - A custom order gets its own station, so the order does not interfere with the rest of production. - In software, this station is a branch or a work tree. 2) Assembly line. - The agent writes code, changes files, and adds structure. 3) Quality control. - Does it turn on? - Does it fit? - Does it break under pressure? - In software, you run tests, open a preview, and read the logs and screenshots. 4) Shipping. - The product goes out the door. - You merge, deploy the PR, and write release notes. If a product fails quality control, you send feedback to the product team. Then you do the loop again. Write each step of your agent workflow as a factory job.

The Startup Ideas Podcast (SIP) 🧃

13,017 görüntüleme • 14 gün önce

New open source project: Easel, a macOS workspace for AI-assisted product design and frontend iteration powered by the Codex SDK. Think of it as "Claude Design for Codex." It brings together a local project library, design-system setup, Codex chat, and a live web preview with a point-and-click inspector. Set up your design system however you like. Import one from Figma , bring your own, or have the agent generate it as a design.md. Then use it to build prototypes and slide decks. Codex-first, with Claude and other AI providers and local models planned for future releases. OpenAI Developers

New open source project: Easel, a macOS workspace for AI-assisted product design and frontend iteration powered by the Codex SDK. Think of it as "Claude Design for Codex." It brings together a local project library, design-system setup, Codex chat, and a live web preview with a point-and-click inspector. Set up your design system however you like. Import one from Figma , bring your own, or have the agent generate it as a design.md. Then use it to build prototypes and slide decks. Codex-first, with Claude and other AI providers and local models planned for future releases. OpenAI Developers

James Rochabrun

61,608 görüntüleme • 3 ay önce