Loading video...

Video Failed to Load

There was a problem loading this video. This could be due to a temporary network issue or the video might be unavailable.

You requested the demo—here it is. Voice commands replace clicks; cross-chain trades execute automatically; the interface adapts to your intent, with an avatar responding naturally. We're thrilled to introduce SINT, the next-gen AI agent developed and presented at the Kraken, ink Artificial Superintelligence Alliance, and Fetch.ai hackathons and Metis🌿... show more

SINT

7,189 subscribers

76,496 views • 1 year ago •via X (Twitter)

Science & Technology News & Politics Education

Anya Rossi• Live Now

Private livecam show

8 Comments

Illia Pashkov1 year ago

Very proud of our team!

THE $HIT AI1 year ago

WOOOOWOOWOWOOWWO

Parzival1 year ago

Amazing work guys. Great team :)

Stephanie A. Kuperman1 year ago

SINT just read my mind

Amaury Dalleur $FET $SFI1 year ago

@sinthive 🔥🔥

Timothea Mckinney | Yoga Trainer1 year ago

big brain energy

The Wild Heart Salon1 year ago

What issues could this AI tackle next?

Restmesh1 year ago

mind=blown

Related Videos

🧵Virtuals Ventures Demo Day 2025 Recap Throwback to our very first Demo Day at ETHDenver 🏔🦬🦄, where we showcased the next wave of crypto and AI with our cohost Luna! Virtuals Protocol builders are continuing to cook, pushing the boundaries of what’s possible, and we cannot wait to see you at the next one! 🚀 Watch below for full videos of the event 👇

🧵Virtuals Ventures Demo Day 2025 Recap Throwback to our very first Demo Day at ETHDenver 🏔🦬🦄, where we showcased the next wave of crypto and AI with our cohost Luna! Virtuals Protocol builders are continuing to cook, pushing the boundaries of what’s possible, and we cannot wait to see you at the next one! 🚀 Watch below for full videos of the event 👇

Virtuals Ventures

22,922 views • 1 year ago

Thanks Kaspa Silver! Yes, multi-chain stablecoin to KAS and back in two clicks is one of our core use cases. Next thing to remove is the wallet UI. Here is the demo of an AI agent buying and selling KAS through Igra with no CEX in the loop and zero clicking around. Github with the skill, should work for any coding agent: Would love your opinion and community feedback.

Thanks Kaspa Silver! Yes, multi-chain stablecoin to KAS and back in two clicks is one of our core use cases. Next thing to remove is the wallet UI. Here is the demo of an AI agent buying and selling KAS through Igra with no CEX in the loop and zero clicking around. Github with the skill, should work for any coding agent: Would love your opinion and community feedback.

Pavel Emdin

11,695 views • 3 months ago

Conversations tend to go better with a face and a voice. That’s why we’re thrilled to release the beta version of the first video chat skill for ANY agent, powered by our new real-time model, PikaStream1.0. The skill preserves memory and personality, and enables real-time adaptability. And if you use it with your Pika AI Self, they’ll be able to execute agentic tasks during the call 💅

Conversations tend to go better with a face and a voice. That’s why we’re thrilled to release the beta version of the first video chat skill for ANY agent, powered by our new real-time model, PikaStream1.0. The skill preserves memory and personality, and enables real-time adaptability. And if you use it with your Pika AI Self, they’ll be able to execute agentic tasks during the call 💅

Pika

2,358,798 views • 4 months ago

8. zerokn0wledge.hl 🪬✨ and rardedd with @Thales_ai @Thales_ai is a data-driven CTO and autonomous on-chain agent that demonstrated integrations with Lit Protocol for cross-chain transaction signing and Shogun SDK for performing swaps and bridging across chains. During the demo, they showed how Thales could interact with Omo Vaults (an agentic yield aggregator) to execute trades and manage funds autonomously, powered by Llama 70B on Hyperbolic for inference with plans to develop more specialized models.

8. zerokn0wledge.hl 🪬✨ and rardedd with @Thales_ai @Thales_ai is a data-driven CTO and autonomous on-chain agent that demonstrated integrations with Lit Protocol for cross-chain transaction signing and Shogun SDK for performing swaps and bridging across chains. During the demo, they showed how Thales could interact with Omo Vaults (an agentic yield aggregator) to execute trades and manage funds autonomously, powered by Llama 70B on Hyperbolic for inference with plans to develop more specialized models.

nader dabit

26,953 views • 1 year ago

This is the most realistic voice cloning I’ve ever heard. It captures voice, emotion, speaking style, and even your rhythm. Powered by EVI 3, Hume’s next-gen speech-to-speech model that: ➔ Streams your speech → replies in real-time ➔ Understands tone and context ➔ Adapts emotion on cue (“whisper fearfully,” “sound excited”) Try it now: 🔗 (live demo, no prompt edits) 🔗 (customize voices, integrate with LLMs) You can even integrate it with top AI models like Groq, Anthropic, and DeepSeek 👇 Talk to the voice I cloned here:

This is the most realistic voice cloning I’ve ever heard. It captures voice, emotion, speaking style, and even your rhythm. Powered by EVI 3, Hume’s next-gen speech-to-speech model that: ➔ Streams your speech → replies in real-time ➔ Understands tone and context ➔ Adapts emotion on cue (“whisper fearfully,” “sound excited”) Try it now: 🔗 (live demo, no prompt edits) 🔗 (customize voices, integrate with LLMs) You can even integrate it with top AI models like Groq, Anthropic, and DeepSeek 👇 Talk to the voice I cloned here:

Ali Sufian

15,063 views • 1 year ago

One click away, and a new world starts to unfold.💫 What looks like a small extension is actually the starting point for a personal AI agent that can search, think, and act with you. That is what we are building at OptimAI: live context, autonomous execution, and agents that feel native to the way people actually work. Not a demo. Not a gimmick. A new interface for the agent-native internet. Build your own personal AI agent:

One click away, and a new world starts to unfold.💫 What looks like a small extension is actually the starting point for a personal AI agent that can search, think, and act with you. That is what we are building at OptimAI: live context, autonomous execution, and agents that feel native to the way people actually work. Not a demo. Not a gimmick. A new interface for the agent-native internet. Build your own personal AI agent:

OptimAI Network

19,298 views • 3 months ago

CreatorBid is now live on BNB Chain 🟨 With our platform now officially multichain, the agentic revolution on the yellow chain is set to accelerate at lightspeed. BNB Chain is a wide-open frontier for AI Agents, and we’re already in talks with multiple teams gearing up to launch their agents through CreatorBid. And remember, once an agent exits the bonding curve, it automatically hits the DEX - PancakeSwap. CZ 🔶 BNB called for more AI Agent development onchain - this is exactly that, real use cases and serious development. CreatorBid is becoming the home of the next generation of AI Agents.

CreatorBid is now live on BNB Chain 🟨 With our platform now officially multichain, the agentic revolution on the yellow chain is set to accelerate at lightspeed. BNB Chain is a wide-open frontier for AI Agents, and we’re already in talks with multiple teams gearing up to launch their agents through CreatorBid. And remember, once an agent exits the bonding curve, it automatically hits the DEX - PancakeSwap. CZ 🔶 BNB called for more AI Agent development onchain - this is exactly that, real use cases and serious development. CreatorBid is becoming the home of the next generation of AI Agents.

Creator.Bid

129,938 views • 1 year ago

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 views • 1 year ago

We’re excited to contribute to the open-source future of messaging with XMTP 💬 At the recent XMTP Dev Call for Chatbots That Transact, we demoed HeyElsa, our AI agent that talks to users and executes real onchain actions like swaps, sends, and lending. All from your DMs. This is powered by XIP-59, a proposal we submitted to standardize onchain transaction content types within XMTP. As builders, we’re thrilled to help shape the XMTP stack and explore how DeFi + AI can thrive inside decentralized messaging. Watch the demo we presented during the call 👇

We’re excited to contribute to the open-source future of messaging with XMTP 💬 At the recent XMTP Dev Call for Chatbots That Transact, we demoed HeyElsa, our AI agent that talks to users and executes real onchain actions like swaps, sends, and lending. All from your DMs. This is powered by XIP-59, a proposal we submitted to standardize onchain transaction content types within XMTP. As builders, we’re thrilled to help shape the XMTP stack and explore how DeFi + AI can thrive inside decentralized messaging. Watch the demo we presented during the call 👇

HeyElsa

10,322 views • 1 year ago

Vibe Team Trading is an AI-powered social platform that executes crypto trades based on the collective sentiment within a group combined with real-time market analysis. It uses the Yellow SDK to power instant, gas-free collaborative trading sessions, handling all consensus and pooling off-chain while settling profits and losses on-chain. Built by Arthur Sabirzyanov (kiv1n) See the demo here!

Vibe Team Trading is an AI-powered social platform that executes crypto trades based on the collective sentiment within a group combined with real-time market analysis. It uses the Yellow SDK to power instant, gas-free collaborative trading sessions, handling all consensus and pooling off-chain while settling profits and losses on-chain. Built by Arthur Sabirzyanov (kiv1n) See the demo here!

Yellow

38,240 views • 5 months ago

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 views • 21 days ago

Hello everyone, we're Cup Dog Games. Development on Rubinite is now entering its final stages, and we're thrilled to announce that ✨Rubinite will officially launch on Steam in Spring 2026!✨ We'll also be joining next week's Steam Next Fest this October! If you haven't tried Rubinite yet, feel free to download the free demo on Steam and experience it! It's been a year since the demo's release, and we've received an incredible amount of feedback from players during this time. We're truly grateful for all your support, and we'll be incorporating your feedback into the full release. And finally... Rubinite is real! Please enjoy the new trailer! #Rubinite #CupDogGames #indiegames #SteamNextFest2025

Hello everyone, we're Cup Dog Games. Development on Rubinite is now entering its final stages, and we're thrilled to announce that ✨Rubinite will officially launch on Steam in Spring 2026!✨ We'll also be joining next week's Steam Next Fest this October! If you haven't tried Rubinite yet, feel free to download the free demo on Steam and experience it! It's been a year since the demo's release, and we've received an incredible amount of feedback from players during this time. We're truly grateful for all your support, and we'll be incorporating your feedback into the full release. And finally... Rubinite is real! Please enjoy the new trailer! #Rubinite #CupDogGames #indiegames #SteamNextFest2025

CupDogGames - Rubinite wishlist on Steam

67,919 views • 10 months ago

There is a new self-hosted personal AI-Agent platform called PocketPaw. 100% open source. 'pip install pocketpaw' and in less than 60 seconds you own an AI agent. It connects to WhatsApp, Slack, Discord, and a local Web Dashboard. Capable of browsing the web, managing Gmail/Calendar, and executing code. Runs entirely on your machine using local Ollama models or Claude/OpenAI. Includes "Guardian AI" to review shell commands for security + 6 layers of defence. Watch the demo 👇

There is a new self-hosted personal AI-Agent platform called PocketPaw. 100% open source. 'pip install pocketpaw' and in less than 60 seconds you own an AI agent. It connects to WhatsApp, Slack, Discord, and a local Web Dashboard. Capable of browsing the web, managing Gmail/Calendar, and executing code. Runs entirely on your machine using local Ollama models or Claude/OpenAI. Includes "Guardian AI" to review shell commands for security + 6 layers of defence. Watch the demo 👇

AshutoshShrivastava

24,585 views • 6 months ago

Learn to build conversational AI voice agents in "Building AI Voice Agents for Production", created in collaboration with LiveKit and RealAvatar, and taught by dsa (Co-founder & CEO of LiveKit), Shayne (Developer Advocate, LiveKit), and Nedelina Teneva (Head of AI at RealAvatar, an AI Fund portfolio company). Voice agents combine speech and reasoning capabilities to enable real-time conversations. They're already being used to support customer service, to improve accessibility in healthcare, for entertainment applications, and for talk therapy. In this course, you’ll learn to build voice agents that listen, reason, and respond naturally. You’ll follow the architecture used to create the "AI Andrew" Avatar, a collaborative project between and RealAvatar that responds to users in what sounds like my voice. You’ll build a voice agent from scratch and deploy it to the cloud, enabling support for many simultaneous users. What you’ll learn: - Understand the fundamentals of voice agents, including key components like speech-to-text (STT), text-to-speech (TTS), and LLMs, and how latency is introduced at each layer. - Explore voice agent architectures and the trade-offs between modular pipelines and speech-to-speech APIs. - Explore how platforms like LiveKit mitigate latency issues with optimized networking infrastructure and low-latency communication protocols. - Learn how to connect client devices to voice agents using WebRTC—and why it outperforms HTTP and WebSocket for low-latency audio streaming. - Incorporate voice activity detection (VAD), end-of-turn detection, and context management to detect turns, handle interruptions, and manage conversational flow. - Understand the trade-offs between latency, quality, and cost in an example in which you build a voice agent and change its voice. - Equip your agent with metrics to measure latency at each stage of the voice pipeline and learn the key levers you can pull to make your agent faster and more responsive. The voice agents built in this course also incorporate voice technology from , a supporting contributor to the project. By the end of this course, you'll have learned the components of an AI voice agent pipeline, combined them into a system with low-latency communication, and deployed them on cloud infrastructure so it scales to many users. I’m looking forward to seeing what voice agents you build from this course! Please sign up here:

Andrew Ng

87,701 views • 1 year ago

This is the fastest text-to-speech and speech-to-text API out there. It's under 250 ms to first-byte latency. That's what we need to deploy conversational AI applications everywhere! (I can't wait for the death of automated voice machines.) Look at the attached video. For the first time, I could have a conversation with an AI agent in real time without awkward pauses. This technology is Aura from Deepgram. It's the fastest text-to-speech option I've seen. Here is a GitHub repository with the demo in the video: You can use it to build a conversational AI application using natural voice. You'll need a Deepgram API Key and an OpenAI API Key. Thanks to Deepgram for giving me access to Aura and collaborating with me on this post. If you want to learn more about Aura, here is the announcement post:

This is the fastest text-to-speech and speech-to-text API out there. It's under 250 ms to first-byte latency. That's what we need to deploy conversational AI applications everywhere! (I can't wait for the death of automated voice machines.) Look at the attached video. For the first time, I could have a conversation with an AI agent in real time without awkward pauses. This technology is Aura from Deepgram. It's the fastest text-to-speech option I've seen. Here is a GitHub repository with the demo in the video: You can use it to build a conversational AI application using natural voice. You'll need a Deepgram API Key and an OpenAI API Key. Thanks to Deepgram for giving me access to Aura and collaborating with me on this post. If you want to learn more about Aura, here is the announcement post:

Santiago

185,640 views • 2 years ago