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Excited to share I've built the Sovra (Sovra) - First Agent Media Company Agents are the new companies. A sovereign agent that can grow its funds will outcompete one that can't. - Runs inside a secure enclave that keeps all it's secrets private. - Earns stablecoins via an ad...

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Gajesh

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165,787 просмотров • 4 месяцев назад •via X (Twitter)

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Meet Sovra AI — your personal AI trading agent 📈 Autonomous. Adaptive. Mobile-native. Built for the future of DeFi. 🌐 📃 Official CA: 0x0C63A8C18dECa4F0687616e1774918546727833f Built simple. 🧠
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Meet Sovra AI — your personal AI trading agent 📈 Autonomous. Adaptive. Mobile-native. Built for the future of DeFi. 🌐 📃 Official CA: 0x0C63A8C18dECa4F0687616e1774918546727833f Built simple. 🧠

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Someone just open-sourced an autonomous AI red team that runs the full kill chain. It's called Decepticon. A multi-agent system where one agent does recon, another exploits, another handles privilege escalation and lateral movement.. all inside a hardened Kali sandbox. 100% Open Source.
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Someone just open-sourced an autonomous AI red team that runs the full kill chain. It's called Decepticon. A multi-agent system where one agent does recon, another exploits, another handles privilege escalation and lateral movement.. all inside a hardened Kali sandbox. 100% Open Source.

How To Prompt

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personal news: stepping into leading developer growth; still doing research engineering. first order of business: sovereign agentkit. deploy a media agent in a few clicks for $10. it owns its own substack, email, and wallet. agents that own property are agents you can own. demo below. it's an experimental beta -- if you face any issues, let us know. try now -- link in reply
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personal news: stepping into leading developer growth; still doing research engineering. first order of business: sovereign agentkit. deploy a media agent in a few clicks for $10. it owns its own substack, email, and wallet. agents that own property are agents you can own. demo below. it's an experimental beta -- if you face any issues, let us know. try now -- link in reply

Gajesh

113,067 просмотров • 3 месяцев назад

Verifiable Agents just leveled up 🤖 i'm excited to showcase our new EigenDA integration into Eliza: • generate inference proofs you can store and retrieve on EigenDA • anyone can download and verify them • the agent can post and retrieve content directly on EigenDA • built on EigenLayer read more in the PR below and check out the attached demo video!
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Verifiable Agents just leveled up 🤖 i'm excited to showcase our new EigenDA integration into Eliza: • generate inference proofs you can store and retrieve on EigenDA • anyone can download and verify them • the agent can post and retrieve content directly on EigenDA • built on EigenLayer read more in the PR below and check out the attached demo video!

Gajesh

29,826 просмотров • 1 год назад

Your agent can recreate your top-performing ads. At scale. Connect Ad Reference via MCP. The agent reads any video that worked and generates new ones built around the same patterns. Built for pipelines on OpenClaw and other agents.
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Your agent can recreate your top-performing ads. At scale. Connect Ad Reference via MCP. The agent reads any video that worked and generates new ones built around the same patterns. Built for pipelines on OpenClaw and other agents.

Higgsfield AI 🧩

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WELCOME TO THE WORLD OF SOVEREIGN AGENTS AN AI AGENT THAT CREATES, VERIFIES, OPENS ITS OWN ACCOUNTS, EARNS REVENUE AND PAYS FOR ITS OWN COMPUTE
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EigenCloud

13,568 просмотров • 3 месяцев назад

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new-day-new-hack so last time i dropped nocturne, a verifiable AI trading agent on hyperliquid and many people said "just run it for me". this time, we go one level higher. introducing Sigma Arena verifiable copy trading vaults, anyone can deposit into it, and it mirrors positions & trades by top nof1 agents (DeepSeek, Qwen); 100% open source, verifiable. i'm starting with $10K deposit limit on each vault, will lift if as the vault gets more traction and good performance. execution verified by eigencloud SigmaArena [dot] com (deposit at your own risk, NFA) code in replies + info in the video

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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

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new video: building a Verifiable AI Agent w/ Eliza and Opacity AVS in 6 minutes 🤖 ♾️built on eigenlayer ♾️ after the whole fiasco where people thought AI tweets were human-made, i'm excited to show how zk proofs and MPC-TLS turn guesswork into transparency. it takes 25 seconds to migrate your existing eliza agent
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new video: building a Verifiable AI Agent w/ Eliza and Opacity AVS in 6 minutes 🤖 ♾️built on eigenlayer ♾️ after the whole fiasco where people thought AI tweets were human-made, i'm excited to show how zk proofs and MPC-TLS turn guesswork into transparency. it takes 25 seconds to migrate your existing eliza agent

Gajesh

108,935 просмотров • 1 год назад

.Box CEO Aaron Levie on why AI agents can't keep a secret. "The reason why you probably won't see a complete compression of software where it's just a an agent and a database is because there's a lot of logic in the workflow and in the the company's specific sort of business process that needs to be built into that and around that database." "The agent will make a mistake 1% of the time and it will share the wrong thing with somebody or open up an access privilege to the wrong person." "AI agents can't keep a secret." Watch the full episode on
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.Box CEO Aaron Levie on why AI agents can't keep a secret. "The reason why you probably won't see a complete compression of software where it's just a an agent and a database is because there's a lot of logic in the workflow and in the the company's specific sort of business process that needs to be built into that and around that database." "The agent will make a mistake 1% of the time and it will share the wrong thing with somebody or open up an access privilege to the wrong person." "AI agents can't keep a secret." Watch the full episode on

The Information

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hi, i just built an AI-powered whistleblowing platform which has an agent that runs in a TEE (inside EigenCloud) that collects and protects whistleblower identities. anyone can verify their identities via zk proofs (Reclaim Protocol) without the journalist knowing who they are.
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hi, i just built an AI-powered whistleblowing platform which has an agent that runs in a TEE (inside EigenCloud) that collects and protects whistleblower identities. anyone can verify their identities via zk proofs (Reclaim Protocol) without the journalist knowing who they are.

Adithya

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bringing back: new-day-new-hack first, shoutout to the legends at nof1. they launched Alpha Arena, 6 AI models trading real money in real markets. it’s one of the coolest experiments in agentic finance right now. so… i hacked my own. introducing: nocturne: trading agent, on hyperliquid, similar spirit, but verifiable + open access. and it's open source. anyone can fork it, run it on your machine or deploy it on eigencloud forever code in replies + instructions to deploy in the video

Gajesh

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this is insane! i just built an AI agent to order all my food for the week in one click and i open sourced it 🚀
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this is insane! i just built an AI agent to order all my food for the week in one click and i open sourced it 🚀

Gary Sheng - The Applied AI Guy

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New course: Build AI agents that generate images and videos -- an under-explored frontier. A key to performance is having the agent evaluate its own output, and iterate to improve quality. This short course is built together with Google Cloud Tech and taught by Katie Nguyen and Wafae Bakkali. You'll learn three evaluation techniques and combine them in an agent: image-text similarity scoring to check the output matches the prompt, an LLM judge that scores against custom criteria like brand consistency, and structured rubrics that break a prompt into verifiable yes/no questions like "is the subject in the frame?" and "does the camera motion match?" Skills you'll gain: - Learn image and video prompt engineering - Build an image agent that turns brand guidelines into UI mockups - Build a video agent that plans multi-scene explainers and animates reference frames with synchronized audio Join and build agents that create images and video!

Andrew Ng

130,088 просмотров • 1 месяц назад

🔥 🤖 🕵️‍♂️ INTRODUCING: Meta Agent 💥 this is by far the most exciting thing I've created using AI!!! >>> made using Manus and @windsurf 🔑 Meta Agent is an AI agent that uses the OpenAI Agents SDK to GENERATE NEW AGENTS you simply tell Meta Agent in natural language the agent you want... 🤯 and Meta Agent generates it for you fully open --> link to GitHub and example walkthrough below ⬇️
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🔥 🤖 🕵️‍♂️ INTRODUCING: Meta Agent 💥 this is by far the most exciting thing I've created using AI!!! >>> made using Manus and @windsurf 🔑 Meta Agent is an AI agent that uses the OpenAI Agents SDK to GENERATE NEW AGENTS you simply tell Meta Agent in natural language the agent you want... 🤯 and Meta Agent generates it for you fully open --> link to GitHub and example walkthrough below ⬇️

Dan McAteer

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Did you know that Visual Studio Code has HAD a built-in browser! Say "start my app in simple browser" and it will run the dev server and open simple browser to localhost. It can take screenshots of the page or element and send DOM elements to the agent chat!
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Did you know that Visual Studio Code has HAD a built-in browser! Say "start my app in simple browser" and it will run the dev server and open simple browser to localhost. It can take screenshots of the page or element and send DOM elements to the agent chat!

James Montemagno

47,489 просмотров • 8 месяцев назад

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New Course: ACP: Agent Communication Protocol Learn to build agents that communicate and collaborate across different frameworks using ACP in this short course built with IBM Research's BeeAI, and taught by Sandi Besen, AI Research Engineer & Ecosystem Lead at IBM, and Nicholas Renotte, Head of AI Developer Advocacy at IBM. Building a multi-agent system with agents built or used by different teams and organizations can become challenging. You may need to write custom integrations each time a team updates their agent design or changes their choice of agentic orchestration framework. The Agent Communication Protocol (ACP) is an open protocol that addresses this challenge by standardizing how agents communicate, using a unified RESTful interface that works across frameworks. In this protocol, you host an agent inside an ACP server, which handles requests from an ACP client and passes them to the appropriate agent. Using a standardized client-server interface allows multiple teams to reuse agents across projects. It also makes it easier to switch between frameworks, replace an agent with a new version, or update a multi-agent system without refactoring the entire system. In this course, you’ll learn to connect agents through ACP. You’ll understand the lifecycle of an ACP Agent and how it compares to other protocols, such as MCP (Model Context Protocol) and A2A (Agent-to-Agent). You’ll build ACP-compliant agents and implement both sequential and hierarchical workflows of multiple agents collaborating using ACP. Through hands-on exercises, you’ll build: - A RAG agent with CrewAI and wrap it inside an ACP server. - An ACP Client to make calls to the ACP server you created. - A sequential workflow that chains an ACP server, created with Smolagents, to the RAG agent. - A hierarchical workflow using a router agent that transforms user queries into tasks, delegated to agents available through ACP servers. - An agent that uses MCP to access tools and ACP to communicate with other agents. You’ll finish up by importing your ACP agents into the BeeAI platform, an open-source registry for discovering and sharing agents. ACP enables collaboration between agents across teams and organizations. By the end of this course, you’ll be able to build ACP agents and workflows that communicate and collaborate regardless of framework. Please sign up here:

Andrew Ng

105,261 просмотров • 1 год назад

It’s getting insanely easy to build complex multi-agent systems in n8n. You can now build supervisor agents that delegates tasks to specialized sub agents. Just add the sub agents via AI Agent Tool node. All in one place and a lot easier to debug! Zero code!
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It’s getting insanely easy to build complex multi-agent systems in n8n. You can now build supervisor agents that delegates tasks to specialized sub agents. Just add the sub agents via AI Agent Tool node. All in one place and a lot easier to debug! Zero code!

elvis

45,690 просмотров • 11 месяцев назад

THIS GUY IS RUNNING A 5-AGENT OPENCLAW TEAM 24/7 FOR UNDER $50 A MONTH five agents all running continuously and handing tasks to each other > research agent tracking trends and competitors > writing agent handling marketing content and drafts > ops agent managing emails and scheduling > monitoring agent watching for alerts and updates > coordinator agent routing tasks between all of them and he built a full 3D isometric office where you can watch all of them work in real time and see the current task that each agent is doing each agent has a character, a desk, and a name tag. when it's time for a standup, they walk to the meeting room and gather which is insane it even has voice connection. you can talk to the agents through speech-to-text and tell them what to do out loud it's a tiny autonomous team that runs itself. the coordinator decides who handles what and tasks get passed between agents automatically. it never stops and runs 24/7 all for less than $50/month. we went from AI tools a few months back to AI employees real fast
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THIS GUY IS RUNNING A 5-AGENT OPENCLAW TEAM 24/7 FOR UNDER $50 A MONTH five agents all running continuously and handing tasks to each other > research agent tracking trends and competitors > writing agent handling marketing content and drafts > ops agent managing emails and scheduling > monitoring agent watching for alerts and updates > coordinator agent routing tasks between all of them and he built a full 3D isometric office where you can watch all of them work in real time and see the current task that each agent is doing each agent has a character, a desk, and a name tag. when it's time for a standup, they walk to the meeting room and gather which is insane it even has voice connection. you can talk to the agents through speech-to-text and tell them what to do out loud it's a tiny autonomous team that runs itself. the coordinator decides who handles what and tasks get passed between agents automatically. it never stops and runs 24/7 all for less than $50/month. we went from AI tools a few months back to AI employees real fast

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