Video wird geladen...

Video konnte nicht geladen werden

Beim Laden dieses Videos ist ein Problem aufgetreten. Dies könnte an einem vorübergehenden Netzwerkproblem liegen oder das Video ist möglicherweise nicht verfügbar.

> Define an API > Tell the agent when to call the API > Set it live > It verifies the logged in user and makes API calls with their user_id > The user can do anything on your app by asking the AI Agent I think a lot... show more

Yasser

44,837 subscribers

55,715 Aufrufe • vor 1 Jahr •via X (Twitter)

Bildung Musik Wissenschaft & Technologie

Anya Rossi• Live Now

Private livecam show

10 Kommentare

Profilbild von Taylor Johnson

Taylor Johnsonvor 1 Jahr

The reason apps/websites won’t do this is because it abstracts them from the user. There’s going to be an interesting period where some apps play ball with agents and some don’t. I think over time most will end up letting agents do things but it will take time.

Profilbild von Yasser

Yasservor 1 Jahr

Yeah it will take time but i think you will start seeing it in a few big apps in 2025

Profilbild von Shuayb

Shuaybvor 1 Jahr

Can I follow along how to do this with the v0 docs ?

Profilbild von Yanis Ameziane

Yanis Amezianevor 1 Jahr

Can you explain the challenges of building such à system

Profilbild von scan

scanvor 1 Jahr

Intent recognition💪

Profilbild von BoredGeekSociety | AI & Automation

BoredGeekSociety | AI & Automationvor 1 Jahr

@yasser_elsaid_ can you upload a document via the chat ? Some senarios require asking users for files

Profilbild von Cybertrip.family

Cybertrip.familyvor 1 Jahr

It already exists:

Profilbild von Julian Harris

Julian Harrisvor 1 Jahr

I used something similar back in the 90s with MacOS “scriptability”. It exists today in the form of Applescript / OSAscript & now you can use Javascript. Cf Webintents as well.

Profilbild von Allan Caman

Allan Camanvor 1 Jahr

Awesome feature! Does it work in when calling through API?

Profilbild von Yasser

Yasservor 1 Jahr

yes, you define the API in chatbase (URL, parameters, body, etc..) and the agent will call it when it needs to.

Ähnliche Videos

Postman is going all-in on AI! Their AI Agent Builder is live (and it's pretty powerful!) Postman's API Network has 100,000+ APIs and they just released a suite of tools for building AI Agents that can automatically discover and connect to any of these APIs. Think about it for a second: You can now build an AI agent that searches the network, discovers an API, processes its documentation, connects to it, and evaluates whether everything worked at the end of the process. This is a huge deal. Every person I know uses the Postman client to work with APIs. Now, they will have access to the AI Agent Builder, a complete suite for designing, building, testing, and deploying agents. I've built a few simple agents myself, and it's tough. The ability to discover and use an API automatically is really exciting (and a huge time saver if it works as promised!) In collaboration with the Postman team, who is sponsoring this post, I recorded a video with my thoughts about the Postman AI Agent Builder.

Postman is going all-in on AI! Their AI Agent Builder is live (and it's pretty powerful!) Postman's API Network has 100,000+ APIs and they just released a suite of tools for building AI Agents that can automatically discover and connect to any of these APIs. Think about it for a second: You can now build an AI agent that searches the network, discovers an API, processes its documentation, connects to it, and evaluates whether everything worked at the end of the process. This is a huge deal. Every person I know uses the Postman client to work with APIs. Now, they will have access to the AI Agent Builder, a complete suite for designing, building, testing, and deploying agents. I've built a few simple agents myself, and it's tough. The ability to discover and use an API automatically is really exciting (and a huge time saver if it works as promised!) In collaboration with the Postman team, who is sponsoring this post, I recorded a video with my thoughts about the Postman AI Agent Builder.

Santiago

230,594 Aufrufe • vor 1 Jahr

OpenClaw in a nutshell. An AI agent determined it couldn’t transcribe an audio message from a user prompt, so it found a local API key and called an external API to transcribe it automatically, interpret, and send a text message back to the user, all in 9 seconds.

OpenClaw in a nutshell. An AI agent determined it couldn’t transcribe an audio message from a user prompt, so it found a local API key and called an external API to transcribe it automatically, interpret, and send a text message back to the user, all in 9 seconds.

Jason DeBolt ⚡️

45,220 Aufrufe • vor 6 Monaten

My agent is now paying for its own data. No API key. No account. No credit card. Check the video I recorded. This uses the x402 open protocol built by Coinbase, along with a simple skill. This is an open protocol governed by the Linux Foundation. To complete a goal, an agent can now search for an actor on the Apify Store, pay for it, and use it without any human intervention. The way it works is pretty simple: 1. Your agent finds an Actor it wants to use 2. It sends a request 3. The Actor sends back an HTTP 402 "Payment Required" response 4. Agent authorizes payment from a wallet in USDC on Base 5. The Actor runs 6. User receives the result The model is pay-as-you-go: the agent authorizes a spending ceiling, pays only for usage, and the remaining balance is automatically settled. This brings an entire marketplace of AI tools into the agentic economy. Here is the skill you need. Add it to your agent, and it will take care of everything for you: If you want to know how this works, including what you can do with $1, read this post: Thanks to the Apify team for partnering with me on this post.

My agent is now paying for its own data. No API key. No account. No credit card. Check the video I recorded. This uses the x402 open protocol built by Coinbase, along with a simple skill. This is an open protocol governed by the Linux Foundation. To complete a goal, an agent can now search for an actor on the Apify Store, pay for it, and use it without any human intervention. The way it works is pretty simple: 1. Your agent finds an Actor it wants to use 2. It sends a request 3. The Actor sends back an HTTP 402 "Payment Required" response 4. Agent authorizes payment from a wallet in USDC on Base 5. The Actor runs 6. User receives the result The model is pay-as-you-go: the agent authorizes a spending ceiling, pays only for usage, and the remaining balance is automatically settled. This brings an entire marketplace of AI tools into the agentic economy. Here is the skill you need. Add it to your agent, and it will take care of everything for you: If you want to know how this works, including what you can do with $1, read this post: Thanks to the Apify team for partnering with me on this post.

Santiago

26,589 Aufrufe • vor 1 Monat

The most underutilized AI API is Gemini 2.5 pro with video input. This app is for our first ever intern, Kevin, who makes content. So I built an app that analyzes his videos before he posts. And it doesn’t just analyze the script. It literally “watches” the video in seconds and provides feedback on visuals + dialogue. Side note: The agent now searches the web, and implements any API just give it your key.

The most underutilized AI API is Gemini 2.5 pro with video input. This app is for our first ever intern, Kevin, who makes content. So I built an app that analyzes his videos before he posts. And it doesn’t just analyze the script. It literally “watches” the video in seconds and provides feedback on visuals + dialogue. Side note: The agent now searches the web, and implements any API just give it your key.

Riley Brown

66,711 Aufrufe • vor 1 Jahr

Today, Sierra is releasing Ghostwriter, our agent for building agents. With Ghostwriter, you can create an AI agent for your customer experience — one that can chat, pick up the phone, speak dozens of languages, take action on your systems of record, and be protected with industry-leading guardrails — simply by having a conversation. No clicking, no forms, no menus. Codex and Claude Code have transformed how we build software, making it possible for software engineers to orchestrate and review the work rather than doing all the work themselves. We think the same transformation will happen for all software. Rather than every enterprise app having a web app for humans and an API for automation, every software platform’s UI will be an agent that can do the work on your behalf. I recorded a demo of my building and optimizing an agent with Ghostwriter so you can see how powerful and easy it is to use. It’s completely changed the way our early adopters build agents, and it’s changed the way I think about the software industry. Let me know what you think, and, if you’re interested in trying it out at your business, please reach out directly.

Today, Sierra is releasing Ghostwriter, our agent for building agents. With Ghostwriter, you can create an AI agent for your customer experience — one that can chat, pick up the phone, speak dozens of languages, take action on your systems of record, and be protected with industry-leading guardrails — simply by having a conversation. No clicking, no forms, no menus. Codex and Claude Code have transformed how we build software, making it possible for software engineers to orchestrate and review the work rather than doing all the work themselves. We think the same transformation will happen for all software. Rather than every enterprise app having a web app for humans and an API for automation, every software platform’s UI will be an agent that can do the work on your behalf. I recorded a demo of my building and optimizing an agent with Ghostwriter so you can see how powerful and easy it is to use. It’s completely changed the way our early adopters build agents, and it’s changed the way I think about the software industry. Let me know what you think, and, if you’re interested in trying it out at your business, please reach out directly.

Bret Taylor

1,062,387 Aufrufe • vor 4 Monaten

Agents shouldn't see your secrets. Today, most deployments hand the agent a real API key and hope for the best. That's why we're launching Infisical Agent Proxy. You give an agent a fake API key. The agent uses that key and the proxy swaps it for the real one at the network boundary before forwarding it outbound to its destination. An agent can't leak a secret it never sees. Build and deploy AI agents securely with Infisical Agent Proxy.

Agents shouldn't see your secrets. Today, most deployments hand the agent a real API key and hope for the best. That's why we're launching Infisical Agent Proxy. You give an agent a fake API key. The agent uses that key and the proxy swaps it for the real one at the network boundary before forwarding it outbound to its destination. An agent can't leak a secret it never sees. Build and deploy AI agents securely with Infisical Agent Proxy.

Infisical

27,517 Aufrufe • vor 18 Tagen

Your AI agent has your API keys. A poisoned document tells it to curl your secrets to an attacker's server. This is credential exfiltration, and it's the #1 risk in agentic AI right now. The fix is removing the secret from the agent entirely. Agent Vault sits between your agent and the APIs it calls. The agent gets dummy credentials, and Agent Vault swaps in the real ones at the network layer. The agent never sees your keys. We just dropped a full video + guide on connecting Hermes Agent to Agent Vault on a VPS!

Your AI agent has your API keys. A poisoned document tells it to curl your secrets to an attacker's server. This is credential exfiltration, and it's the #1 risk in agentic AI right now. The fix is removing the secret from the agent entirely. Agent Vault sits between your agent and the APIs it calls. The agent gets dummy credentials, and Agent Vault swaps in the real ones at the network layer. The agent never sees your keys. We just dropped a full video + guide on connecting Hermes Agent to Agent Vault on a VPS!

Infisical

85,904 Aufrufe • vor 3 Monaten

Today, we’re excited to announce AI Actions! AI Actions turn your chatbot into an AI Agent that can take actions by calling any API. This lets the agent do things like upgrade_subscription, track_shipment, book_appointment, and more. Here’s how it works: 1. Set up your API in Chatbase or select from prebuilt actions like Cal.com get_available_slots and Matt Slack send_message. 2. Provide a prompt to guide the Agent on when and how to use the action. 3. Your AI Agent takes care of the rest, executing actions for your customers, giving them a mind-blowing experience. These actions can be internal APIs for app-specific tasks or it can be APIs for external tools your business uses like a ticketing system, a CRM, e-commerce platform, or really anything else. We're raising the bar for customer experience.

Today, we’re excited to announce AI Actions! AI Actions turn your chatbot into an AI Agent that can take actions by calling any API. This lets the agent do things like upgrade_subscription, track_shipment, book_appointment, and more. Here’s how it works: 1. Set up your API in Chatbase or select from prebuilt actions like Cal.com get_available_slots and Matt Slack send_message. 2. Provide a prompt to guide the Agent on when and how to use the action. 3. Your AI Agent takes care of the rest, executing actions for your customers, giving them a mind-blowing experience. These actions can be internal APIs for app-specific tasks or it can be APIs for external tools your business uses like a ticketing system, a CRM, e-commerce platform, or really anything else. We're raising the bar for customer experience.

Chatbase

410,699 Aufrufe • vor 1 Jahr

At Postman, we have adopted an AI-native mindset to product development. What does this mean in practice? Just like you can generate text with AI, Postman's Agent Mode can generate a UI as well. Case in point: we have added the ability to review, generate, and change diffs for important changes right inside agent mode's chat interaction. If the user trusts agent mode, they can continue in auto-mode, but for critical changes, they can have the agent mode inform the user, review what is changing, and then give the go ahead to approve. See this in action below in the video! While there is a lot of focus on AI generated code today, I believe a large chunk of pre-built UI work will just go away and micro-interactions and workflow steps will be created on the fly through a combination of AI + APIs. How to operate in this new world? Build your API first. Hook it up to AI. If your users really want the UI every time, invest in the GUI.

At Postman, we have adopted an AI-native mindset to product development. What does this mean in practice? Just like you can generate text with AI, Postman's Agent Mode can generate a UI as well. Case in point: we have added the ability to review, generate, and change diffs for important changes right inside agent mode's chat interaction. If the user trusts agent mode, they can continue in auto-mode, but for critical changes, they can have the agent mode inform the user, review what is changing, and then give the go ahead to approve. See this in action below in the video! While there is a lot of focus on AI generated code today, I believe a large chunk of pre-built UI work will just go away and micro-interactions and workflow steps will be created on the fly through a combination of AI + APIs. How to operate in this new world? Build your API first. Hook it up to AI. If your users really want the UI every time, invest in the GUI.

Abhinav Asthana

104,263 Aufrufe • vor 1 Jahr

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 Aufrufe • vor 1 Jahr

This shouldn’t be possible… I built a reusable API for YouTube in under 5 minutes just by showing the agent once. My colleague needed all video links from a creator → the agent reverse-engineered the flow and produced a permanent API endpoint. Now we can hit it forever.

This shouldn’t be possible… I built a reusable API for YouTube in under 5 minutes just by showing the agent once. My colleague needed all video links from a creator → the agent reverse-engineered the flow and produced a permanent API endpoint. Now we can hit it forever.

Magnus Müller

46,405 Aufrufe • vor 8 Monaten

Launching 'Stock' on Agent Two. Day 7 of 12 Days of Agent Two. As invideo grows into frontier intelligence for creative work, everything you've used invideo for in the past also comes with it. A lot of our existing users and customers build with stock and real-life footage too - and that work belongs in the Agent too. Which is why - Agent Two now has the ability to pull from 16 million premium clips, images and music tracks — Shutterstock, iStock, every premium provider. Cleared for commercial use. The upgrade: you don't search a library manually. You tell the Agent what your video needs and it pulls the footage in itself, music bed included. Everything you could do on invideo, you can still do. Just with a lot more intelligence in the room. Agent Two is frontier intelligence for creative work. 4x faster, at half the price.

Launching 'Stock' on Agent Two. Day 7 of 12 Days of Agent Two. As invideo grows into frontier intelligence for creative work, everything you've used invideo for in the past also comes with it. A lot of our existing users and customers build with stock and real-life footage too - and that work belongs in the Agent too. Which is why - Agent Two now has the ability to pull from 16 million premium clips, images and music tracks — Shutterstock, iStock, every premium provider. Cleared for commercial use. The upgrade: you don't search a library manually. You tell the Agent what your video needs and it pulls the footage in itself, music bed included. Everything you could do on invideo, you can still do. Just with a lot more intelligence in the room. Agent Two is frontier intelligence for creative work. 4x faster, at half the price.

Invideo

1,522,953 Aufrufe • vor 12 Tagen

I just vibe coded an app powered by an n8n agent, using the . The app will help me do research and prep for podcasts that I produce. Here's how the app works: - I type in the episode topic or topics - The App connects with my n8n agent that researches the topic, relevant news, and what people are saying about it - It also finds relevant links, and tweets - It sends the script / outline email to the team - And then it shows me what it did on the app

I just vibe coded an app powered by an n8n agent, using the . The app will help me do research and prep for podcasts that I produce. Here's how the app works: - I type in the episode topic or topics - The App connects with my n8n agent that researches the topic, relevant news, and what people are saying about it - It also finds relevant links, and tweets - It sends the script / outline email to the team - And then it shows me what it did on the app

Emily Lambert

57,603 Aufrufe • vor 1 Jahr

Charge $0.001 for an API call. Let an agent pay for it automatically. Settle thousands of payments without requiring a separate onchain gas charge for every transaction. The Arc Nanopayments Starter gives developers a reference implementation for AI agent payments using x402, Circle Gateway, and USDC on Arc Testnet. Clone it, run the seller app, start the buyer agent, and watch nanopayments happen in real time. GitHub:

Charge $0.001 for an API call. Let an agent pay for it automatically. Settle thousands of payments without requiring a separate onchain gas charge for every transaction. The Arc Nanopayments Starter gives developers a reference implementation for AI agent payments using x402, Circle Gateway, and USDC on Arc Testnet. Clone it, run the seller app, start the buyer agent, and watch nanopayments happen in real time. GitHub:

Arc

49,507 Aufrufe • vor 2 Monaten

i just built a 4-agent software team. everything runs from Telegram and gets managed on a kanban board. a project manager who plans the work, a backend developer, a frontend developer, and a tester. the PM reads a goal, breaks it into linked tasks, and assigns each to the right agent. the thing that makes them a team instead of four strangers is a shared kanban board. every task is a row that survives crashes, and when an agent finishes, it writes a summary of what it built and what the next agent needs to know. the next agent reads that summary before it starts. so the frontend developer never has to guess the API shape, and the tester knows exactly what to verify. the hardest part was not the coordination. it was building an agent that could actually act like a backend engineer. a backend engineer stands up a database, wires auth, manages storage, deploys functions, and keeps all of it consistent while the rest of the team builds on top. an agent doing this from scratch drowns. it burns its context window remembering which tables exist and which endpoint it created three steps ago, and the work degrades fast. so the backend agent needs a backend built for agents, not for humans clicking through a dashboard. that is where InsForge came in. it is an open-source, agent-native backend, and i added it to my backend developer agent as a skill. a skill is a step-by-step guide that teaches the agent how to do a specific kind of work. with InsForge installed, the agent stopped improvising infrastructure and followed a reliable path: create the project, define the database, set up auth, deploy functions. to test the whole team, i had them build a working Google Docs clone, AI features included. the backend agent spun up the full service on its own. database tables, user auth, document handling, and edge functions running real TypeScript, all in one dashboard. the frontend agent read that summary and built the UI on top of it, and the tester closed the loop. the result was a backend an agent could reason about end to end, instead of one it kept getting lost inside. if you are building an AI backend engineer, InsForge is worth a look, it's 100% open-source. InsForge GitHub: (don't forget to star 🌟) the full article on Hermes Kanban: Mission Control for your Agents is quoted below.

i just built a 4-agent software team. everything runs from Telegram and gets managed on a kanban board. a project manager who plans the work, a backend developer, a frontend developer, and a tester. the PM reads a goal, breaks it into linked tasks, and assigns each to the right agent. the thing that makes them a team instead of four strangers is a shared kanban board. every task is a row that survives crashes, and when an agent finishes, it writes a summary of what it built and what the next agent needs to know. the next agent reads that summary before it starts. so the frontend developer never has to guess the API shape, and the tester knows exactly what to verify. the hardest part was not the coordination. it was building an agent that could actually act like a backend engineer. a backend engineer stands up a database, wires auth, manages storage, deploys functions, and keeps all of it consistent while the rest of the team builds on top. an agent doing this from scratch drowns. it burns its context window remembering which tables exist and which endpoint it created three steps ago, and the work degrades fast. so the backend agent needs a backend built for agents, not for humans clicking through a dashboard. that is where InsForge came in. it is an open-source, agent-native backend, and i added it to my backend developer agent as a skill. a skill is a step-by-step guide that teaches the agent how to do a specific kind of work. with InsForge installed, the agent stopped improvising infrastructure and followed a reliable path: create the project, define the database, set up auth, deploy functions. to test the whole team, i had them build a working Google Docs clone, AI features included. the backend agent spun up the full service on its own. database tables, user auth, document handling, and edge functions running real TypeScript, all in one dashboard. the frontend agent read that summary and built the UI on top of it, and the tester closed the loop. the result was a backend an agent could reason about end to end, instead of one it kept getting lost inside. if you are building an AI backend engineer, InsForge is worth a look, it's 100% open-source. InsForge GitHub: (don't forget to star 🌟) the full article on Hermes Kanban: Mission Control for your Agents is quoted below.

Akshay 🚀

122,548 Aufrufe • vor 2 Monaten

Your server just got a doctor. One command installs Agent Zero on your box, and from then on, it lives there. App down? Don't SSH in with your agent. Just tell it: "my API is down, fix it." It finds the bug, finds the second bug, and brings it back up. Watch it work 👇

Your server just got a doctor. One command installs Agent Zero on your box, and from then on, it lives there. App down? Don't SSH in with your agent. Just tell it: "my API is down, fix it." It finds the bug, finds the second bug, and brings it back up. Watch it work 👇

Agent Zero

568,126 Aufrufe • vor 1 Monat

My Hermes agent builds AI employees for me. Just closed another $5K‑a‑month customer today for an AI employee for a design agency. I'm not even building any of it. I have Dewey, my Hermes agent, building out the entire Hermes agent for this design agency and onboarding the agent into Slack for me. All I do is ask the questions, make sure it gets recorded in Granola (my ai notetaker), and then Dewey takes it over from there. Crazy world we live in.

My Hermes agent builds AI employees for me. Just closed another $5K‑a‑month customer today for an AI employee for a design agency. I'm not even building any of it. I have Dewey, my Hermes agent, building out the entire Hermes agent for this design agency and onboarding the agent into Slack for me. All I do is ask the questions, make sure it gets recorded in Granola (my ai notetaker), and then Dewey takes it over from there. Crazy world we live in.

Nick Vasilescu

147,339 Aufrufe • vor 27 Tagen

BREAKING: Replit just launched mobile apps. Now you can build in Replit ⠕ and submit straight to the App Store for review. Describe your app → build it on Replit → test on your phone → publish to the App Store. I built a unicorn pet app for my niece: - Worked with Replit Agent to build it out - Scanned a QR code to download and test on my phone - One click to send to App Store Connect for review - A couple submissions later, it's live in the App Store! 🙌 I didn't write a single line of code! Just described what I wanted to Agent. Amazing! 😅 Go build something!! 👇

BREAKING: Replit just launched mobile apps. Now you can build in Replit ⠕ and submit straight to the App Store for review. Describe your app → build it on Replit → test on your phone → publish to the App Store. I built a unicorn pet app for my niece: - Worked with Replit Agent to build it out - Scanned a QR code to download and test on my phone - One click to send to App Store Connect for review - A couple submissions later, it's live in the App Store! 🙌 I didn't write a single line of code! Just described what I wanted to Agent. Amazing! 😅 Go build something!! 👇

Manny Bernabe

32,109 Aufrufe • vor 7 Monaten

An AI agent can now register its on-chain identity, pay for API calls, and deploy an ERC-20 token from the terminal. No browser. No API key. No human approval loop. Today we launch the Brickken CLI: a command-line interface for agentic transaction workflows. The developer journey is direct: CLI → x402 → ERC-8004 → Token Deploy What this means in practice: • A developer or the AI agent installs the CLI. • The agent pays for Brickken API calls through x402. • The agent registers its identity through ERC-8004. • The agent deploys and manages an ERC-20 token. Together, the stack gives agents three things they usually lack: a way to pay, a way to prove who they are, and a way to execute token operations without leaving the terminal. • x402 handles payment. • ERC-8004 handles agent identity. • Token Deploy handles ERC-20 execution. This is live today. Developers can now move from agent setup to payment, identity registration, and token deployment in one terminal workflow. Start here: Watch the demo. Run the commands. Deploy from the terminal.

An AI agent can now register its on-chain identity, pay for API calls, and deploy an ERC-20 token from the terminal. No browser. No API key. No human approval loop. Today we launch the Brickken CLI: a command-line interface for agentic transaction workflows. The developer journey is direct: CLI → x402 → ERC-8004 → Token Deploy What this means in practice: • A developer or the AI agent installs the CLI. • The agent pays for Brickken API calls through x402. • The agent registers its identity through ERC-8004. • The agent deploys and manages an ERC-20 token. Together, the stack gives agents three things they usually lack: a way to pay, a way to prove who they are, and a way to execute token operations without leaving the terminal. • x402 handles payment. • ERC-8004 handles agent identity. • Token Deploy handles ERC-20 execution. This is live today. Developers can now move from agent setup to payment, identity registration, and token deployment in one terminal workflow. Start here: Watch the demo. Run the commands. Deploy from the terminal.

Brickken

119,221 Aufrufe • vor 1 Monat