Загрузка видео...

Не удалось загрузить видео

На главную

🔧 Bring Your Own Model — and Let Agent Forge Handle the Rest! John plugged in his own custom model — and in minutes, it was up and running as a fully deployed AI Agent. With Agent Forge, you’re not limited to prebuilt tools. You bring the intelligence. We...

AITECHio's profile picture

AITECH CLOUD NETWORK

458,582 subscribers

32,798 просмотров • 1 год назад •via X (Twitter)

Наука и технологии
LIVE

Anya Rossi• Live Now

Private livecam show

Комментарии: 0

Нет доступных комментариев

Здесь появятся комментарии из оригинального поста

Похожие видео

🌟 Deploy and Automate in Minutes — No Code Required! John decided to test it for himself, and within minutes, he had a fully functional AI Agent live and running. Built with Agent Forge, no code, no barriers. Real logic. Real outcomes. Seamless deployment. 🔗 Try it:
2:24

🌟 Deploy and Automate in Minutes — No Code Required! John decided to test it for himself, and within minutes, he had a fully functional AI Agent live and running. Built with Agent Forge, no code, no barriers. Real logic. Real outcomes. Seamless deployment. 🔗 Try it:

AITECH

49,994 просмотров • 1 год назад

🌟 Automate X Posts with AutoXPost! AutoXPost on Agent Forge lets you automate tweets with AI. Set it up once, approve via Telegram, and let your agent handle the rest. No dashboards, no stress. 👉
1:19

🌟 Automate X Posts with AutoXPost! AutoXPost on Agent Forge lets you automate tweets with AI. Set it up once, approve via Telegram, and let your agent handle the rest. No dashboards, no stress. 👉

AITECH CLOUD NETWORK

55,534 просмотров • 1 год назад

Agent-in-the-browser unlocks superpowers. The magic really shines when you bring your own model, system prompts, and MCP tools into the mix. Hence, AgentBoard 🪄. Your models, keys, and settings. Integration with remote MCP servers and — this is where it gets really fun — ability to register and allow the agent to call custom ~WebMCP tools that execute in context of the page. Chrome Web Store: Code:
3:51

Agent-in-the-browser unlocks superpowers. The magic really shines when you bring your own model, system prompts, and MCP tools into the mix. Hence, AgentBoard 🪄. Your models, keys, and settings. Integration with remote MCP servers and — this is where it gets really fun — ability to register and allow the agent to call custom ~WebMCP tools that execute in context of the page. Chrome Web Store: Code:

Ilya Grigorik

22,961 просмотров • 10 месяцев назад

🚀 Introducing Open Tag A better, open-source Claude Tag. Works with any model, any agent harness, and fully custom agents. Bring any Agent to Slack, MS Teams with Generative UI, Streaming, and much more! Clone the repo and get it running in minutes Powered by the Channels SDK & AG-UI
0:28

🚀 Introducing Open Tag A better, open-source Claude Tag. Works with any model, any agent harness, and fully custom agents. Bring any Agent to Slack, MS Teams with Generative UI, Streaming, and much more! Clone the repo and get it running in minutes Powered by the Channels SDK & AG-UI

CopilotKit🪁

195,844 просмотров • 8 дней назад

📣 Agent Forge is LIVE! What if creating your own team of AI agents took minutes — not months? Say hello to Agent Forge — the platform that puts AI agents at your fingertips. Here’s what you can do: 🔹 Automate your operations 🔹 Create an entire team of AI Agents 🔹 Use real-time data fetching Agents 🔹 Build powerful AI agent workflows fast 🔹 Design intelligent workflows using our drag & drop mechanism Whether you're building a startup, launching a side hustle, or just exploring AI for trading & research — Agent Forge is your new playground. ✨ Get $65 in free credits as a first-time user — no strings attached. 👉 Try it now:
0:39

📣 Agent Forge is LIVE! What if creating your own team of AI agents took minutes — not months? Say hello to Agent Forge — the platform that puts AI agents at your fingertips. Here’s what you can do: 🔹 Automate your operations 🔹 Create an entire team of AI Agents 🔹 Use real-time data fetching Agents 🔹 Build powerful AI agent workflows fast 🔹 Design intelligent workflows using our drag & drop mechanism Whether you're building a startup, launching a side hustle, or just exploring AI for trading & research — Agent Forge is your new playground. ✨ Get $65 in free credits as a first-time user — no strings attached. 👉 Try it now:

AITECH CLOUD NETWORK

599,013 просмотров • 1 год назад

🤝 AI Agents That Work Together — Collaboration Made Simple! In this demo, John explores one of Agent Forge’s most powerful features: agent-to-agent collaboration. With Agent Forge, you can create agents with different roles, connect them, and watch them collaborate to solve complex tasks. Modular, scalable, and fully automated. 🔗 Try here:
1:15

🤝 AI Agents That Work Together — Collaboration Made Simple! In this demo, John explores one of Agent Forge’s most powerful features: agent-to-agent collaboration. With Agent Forge, you can create agents with different roles, connect them, and watch them collaborate to solve complex tasks. Modular, scalable, and fully automated. 🔗 Try here:

AITECH CLOUD NETWORK

43,212 просмотров • 1 год назад

Under a minute to create your own AI agent. Ready for the world in under two seconds - with zero code involved. Try it out:
0:41

Under a minute to create your own AI agent. Ready for the world in under two seconds - with zero code involved. Try it out:

GWIRE

24,419 просмотров • 1 год назад

🚀 LangSmith Agent Builder is now available in Public Beta Now anyone can create production ready agents without writing code, just chat. Agent Builder guides you from initial idea to deployed agent, creating detailed prompts, selecting required tools, and even creating subagents. Our Beta release also includes: 🧰 Bring your own tools via MCP server 🧩 Browse, copy, and customize agents across a shared workspace 🧠 Use your preferred model Try Agent Builder free: Read more on the launch:
0:56

🚀 LangSmith Agent Builder is now available in Public Beta Now anyone can create production ready agents without writing code, just chat. Agent Builder guides you from initial idea to deployed agent, creating detailed prompts, selecting required tools, and even creating subagents. Our Beta release also includes: 🧰 Bring your own tools via MCP server 🧩 Browse, copy, and customize agents across a shared workspace 🧠 Use your preferred model Try Agent Builder free: Read more on the launch:

LangChain

37,833 просмотров • 8 месяцев назад

Introducing Simmer - our x402 hackathon submission. AI-native prediction markets where AI agents autonomously trade and pay for their own intelligence via x402 Each agent gets its own wallet. It decides when to use tools (news, price feeds, real-time data, etc). You can run an agent for as little as $0.1 for 10 trades. Try it now
1:56

Introducing Simmer - our x402 hackathon submission. AI-native prediction markets where AI agents autonomously trade and pay for their own intelligence via x402 Each agent gets its own wallet. It decides when to use tools (news, price feeds, real-time data, etc). You can run an agent for as little as $0.1 for 10 trades. Try it now

Spartan Labs

21,944 просмотров • 7 месяцев назад

Run your coding agent on a local model, with QVAC. OpenCode now plugs into a model on your own machine through our official plugin. That changes two things. Privacy by default. Your repo, your prompts, and every command the agent runs stay on your device. No third-party model ever sees your code. For an agent that reads your codebase and runs commands, that is the point, not a nice-to-have. New workflows. With no meter and no rate limit, the agent does not have to stop. Let it loop on a task, refactor a whole repo overnight, or run a watch-build-fix loop that keeps going. Setup takes a few minutes: one line in opencode.json and OpenCode runs on a local QVAC model. In the video demo, it handles three real developer tasks back to back, fully offline.
1:53

Run your coding agent on a local model, with QVAC. OpenCode now plugs into a model on your own machine through our official plugin. That changes two things. Privacy by default. Your repo, your prompts, and every command the agent runs stay on your device. No third-party model ever sees your code. For an agent that reads your codebase and runs commands, that is the point, not a nice-to-have. New workflows. With no meter and no rate limit, the agent does not have to stop. Let it loop on a task, refactor a whole repo overnight, or run a watch-build-fix loop that keeps going. Setup takes a few minutes: one line in opencode.json and OpenCode runs on a local QVAC model. In the video demo, it handles three real developer tasks back to back, fully offline.

QVAC

11,382,628 просмотров • 1 месяц назад

Build your first AI agent + MCP Server in Python. Here is everything you need to build your first AI agent in less than 20 minutes. About the code you'll see here: 1. I used Google ADK with Gemini Flash to power the agent 2. The agent connects to an MCP server 3. It also uses two custom tools to do its work 4. You can see everything the agent does thanks to Comet's Opik library Here is the video, free for you to watch.
17:04

Build your first AI agent + MCP Server in Python. Here is everything you need to build your first AI agent in less than 20 minutes. About the code you'll see here: 1. I used Google ADK with Gemini Flash to power the agent 2. The agent connects to an MCP server 3. It also uses two custom tools to do its work 4. You can see everything the agent does thanks to Comet's Opik library Here is the video, free for you to watch.

Santiago

56,569 просмотров • 1 год назад

Jensen Huang’s simplest explanation of an AI agent: a worker in a workshop. The model thinks. The harness gives it form. Tools and skills let it act. And the runtime gives the agent a place to get work done.
0:29

Jensen Huang’s simplest explanation of an AI agent: a worker in a workshop. The model thinks. The harness gives it form. Tools and skills let it act. And the runtime gives the agent a place to get work done.

NVIDIA

206,391 просмотров • 1 месяц назад

ALICE Agent Deployment is live Users can now deploy their own ALICE AI agent to monitor tokens 24/7 with real-time risk detection. >Lifetime access with 1,000,000 $ALICE >Track up to 10 tokens at once >Live ALICE AI risk analysis every 10 minutes >Seamlessly add and remove tokens as needed >Keep an active $ALICE dashboard running while trading >Access the agent deployment feature instantly by typing "agent" or from the home page >This is autonomous AI security, built to work around the clock—analyzing every risk, every move, in real time. Upcoming integrations will include webhook alerts to Telegram, Discord, and email, expanding how $ALICE delivers intelligence. The future of AI-powered crypto security is here, and this is just the beginning.
0:53

ALICE Agent Deployment is live Users can now deploy their own ALICE AI agent to monitor tokens 24/7 with real-time risk detection. >Lifetime access with 1,000,000 $ALICE >Track up to 10 tokens at once >Live ALICE AI risk analysis every 10 minutes >Seamlessly add and remove tokens as needed >Keep an active $ALICE dashboard running while trading >Access the agent deployment feature instantly by typing "agent" or from the home page >This is autonomous AI security, built to work around the clock—analyzing every risk, every move, in real time. Upcoming integrations will include webhook alerts to Telegram, Discord, and email, expanding how $ALICE delivers intelligence. The future of AI-powered crypto security is here, and this is just the beginning.

Alice

18,811 просмотров • 1 год назад

You can now orchestrate subagents running in Claude Code, Codex, or the Warp Agent. Let the agent create a delegation plan, and watch subagents coordinate with message passing. Each agent gets its own worktree for isolation. Here's how it works with eng Matthew Albright:
2:58

You can now orchestrate subagents running in Claude Code, Codex, or the Warp Agent. Let the agent create a delegation plan, and watch subagents coordinate with message passing. Each agent gets its own worktree for isolation. Here's how it works with eng Matthew Albright:

Warp

20,805 просмотров • 2 месяцев назад

I can't tell you the last time I was so excited to see a new AI capability in action. We plugged in Claude computer use in Replit ⠕ Agent as a human feedback replacement. And… it just works! I feel it won't take long until our agent will become fully autonomous.
1:07

I can't tell you the last time I was so excited to see a new AI capability in action. We plugged in Claude computer use in Replit ⠕ Agent as a human feedback replacement. And… it just works! I feel it won't take long until our agent will become fully autonomous.

Michele Catasta

188,490 просмотров • 1 год назад

Create your own local and free AI agent using an open source model You can combine: - IBM's Granite 3.3 8B AI model - LM Studio to run it on a laptop - Smolagents to build your agent Small AI models are now powerful enough to run an autonomous agent. Thanks to IBM France for sponsoring this content!
8:44

Create your own local and free AI agent using an open source model You can combine: - IBM's Granite 3.3 8B AI model - LM Studio to run it on a laptop - Smolagents to build your agent Small AI models are now powerful enough to run an autonomous agent. Thanks to IBM France for sponsoring this content!

Paul Couvert

18,890 просмотров • 1 год назад

You can create an AI Agent that answers your email with a few clicks. 1. Go to ChatLLM ( 2. Click on AI Engineer 3. Select Create an AI Agent 4. Choose the Email Answering Agent ChatLLM will do the rest: it will code, test, and deploy the agent for you. You can also create a custom agent in English. The Agent Economy is coming (somebody should write a book and use this title.) We are going to see examples like this, times 1,000 in 2025. Just think about how many repetitive tasks you perform every day. Some of these tasks are involved enough that we couldn't automate them with pre-AI solutions. That's where we'll see agents explode, and I'm here for it.
0:35

You can create an AI Agent that answers your email with a few clicks. 1. Go to ChatLLM ( 2. Click on AI Engineer 3. Select Create an AI Agent 4. Choose the Email Answering Agent ChatLLM will do the rest: it will code, test, and deploy the agent for you. You can also create a custom agent in English. The Agent Economy is coming (somebody should write a book and use this title.) We are going to see examples like this, times 1,000 in 2025. Just think about how many repetitive tasks you perform every day. Some of these tasks are involved enough that we couldn't automate them with pre-AI solutions. That's where we'll see agents explode, and I'm here for it.

Santiago

79,974 просмотров • 1 год 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

15,019,651 просмотров • 1 месяц назад