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🛠️ New: Agent Scan Skills are live! Query any ERC-8004 agent in plain language — find agents, vet their reputation, pull jobs & leaderboards — straight from your AI assistant. No dashboards. Just ask. 👉 Try it:

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BAS (Building Agent Passport.)

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15,010 просмотров • 14 дней назад •via X (Twitter)

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BREAKING: Someone just made sharing from AI agents 1000x easier. It's called and it hosts anything your agent builds in 5 seconds flat. No GitHub. No Vercel. No sign-up required. Just tell your agent: "publish to → get a live URL instantly. 100% Free.
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BREAKING: Someone just made sharing from AI agents 1000x easier. It's called and it hosts anything your agent builds in 5 seconds flat. No GitHub. No Vercel. No sign-up required. Just tell your agent: "publish to → get a live URL instantly. 100% Free.

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Hermes Agent now has access to hundreds of browser skills through Browserbase’s new hub, so agents can more reliably perform any task on the internet. You can try a skill from their catalog or contribute your own.
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Hermes Agent now has access to hundreds of browser skills through Browserbase’s new hub, so agents can more reliably perform any task on the internet. You can try a skill from their catalog or contribute your own.

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Creating AI Agents just got easier 👀 Try the new Create Agent flow 👇 ✨ What’s new? 🔹 Ready-made templates — create with one click 🔹 No prompt engineering or technical skills required 🔹 Faster testing and easier exploration Now anyone can create and try AI Agents in minutes 🐳

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announcing: Omnara, your native mission control for AI agents, in your pocket. you get: - Launch & monitor any agent (Claude Code, n8n, etc.) - Real-time logs & full activity feed - Interactive Q&A right from your phone The best part? No waitlist. 🚀 🔗
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Agent Skills are now live for GOAT BitVM2 nodes. Run a challenger, bridge in, peg out, upgrade your node - all through natural language. No CLI. No manual setup. Tell an agent what you want and it executes end-to-end. Recently shipped Testnet fixes: → Resolved peg-in processing delays → Fixed node stalling edge case → Improved edge case handling across the board → More accurate bridge-out stats Skills: Full Testnet guide:

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Stop spending hours on manual work. You can now use a multi-agent AI workforce to get more work done in less time. Here's how 👇 --- Try Eigent AI - Lets you build and run a custom AI workforce on your desktop. - Automate complex workflows using multi-agent task execution. - Built on CAMEL-AI’s top open-source projects ( CAMEL-AI.org & OWL). - Boost productivity with deep customization and strong privacy --- Features: - Customize Your AI Workforce: Build task-specific agents with domain skills and tools. - Faster Execution: Eigent runs agents in parallel to automate complex workflows. - Human-in-the-loop: Automatically asks for help when tasks hit uncertainty. --- What sets Eigent apart? - 3–5× faster task execution using a parallel multi-agent workforce. - Modular design lets you add new capabilities without changing the core system. - Self-optimizing agents that replan and adapt during execution for higher success. - Deploy anywhere: cloud, local, or enterprise, with full open-source flexibility. --- Try building your multi-agent AI workforce here: Join their community to build your multi-agent workforce: Check their GitHub: ---

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🚨 Alibaba just open sourced a GUI agent that lives inside your webpage and controls it with natural language. It's called Page Agent and it's not a browser extension. It's pure JavaScript no Python, no Puppeteer, no headless browser, no screenshots. Just one script tag and your web app understands natural language. Here's what it actually does: → Embed it with a single tag or npm install → Control any web interface with plain English commands → Text-based DOM manipulation no OCR, no vision models needed → Bring your own LLM (GPT, Claude, Qwen, anything) → Ships a built-in UI with human-in-the-loop support → Turn 20-click ERP/CRM workflows into one sentence → Optional Chrome extension for multi-tab agent tasks → Works on any web app SaaS, admin panels, internal tools Companies are charging $30/month for AI copilots built on this exact idea. This is 3 lines of code. Your users. Your interface. The AI copilot layer for every web app just got open sourced. 1.6K stars. 100% Open Source. (Link in the comments)

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Visa just gave your AI a debit card. A real, spendable Visa card created by an AI chatbot in under 10 seconds. No human types in a card number or visits a checkout page. The machine handles it all. A tool called AgentCard just went live on Claude Desktop Anthropic’s AI assistant. You say create a card and the AI generates a one-time virtual Visa, preloaded with whatever amount you set. Then it spends it, anywhere Visa is accepted on your behalf. Visa, Mastercard, Google, Stripe, OpenAI, and Anthropic have all been building toward this moment for over a year. Visa calls it the trusted agent protocol, Mastercard calls it agent pay. Google published an open standard for agent payments and the infrastructure is already live. Santander and Mastercard just completed Europe’s first real AI‑agent payment in a live banking environment Now the part no one wants to talk about. Your AI agent can be manipulated and prompt injection a known, unsolved vulnerability can trick an agent into buying things you never asked for. The agent holds the card, makes the call and the agent can be fooled. Who is liable when an AI makes a bad purchase? You? Anthropic? Visa? The merchant? No one has answered this yet, regulators haven’t caught up, and no court has tested it.

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Tavily Agent Skills are now here ⚡ Your agents can now: search the live web pull fresh docs & pages research markets, competitors and products cite sources all without leaving the terminal. We also shipped tavily-best-practices. A skill that teaches agents how to build production-ready web-connected AI built on real-world lessons from builders like you. Works wherever you’re building agents: Claude · Cursor · Google Antigravity Install now with one line.

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This Bull Cycle is All About AI Agents - Don’t Stay on the Sidelines! We’re excited to introduce Hedgecast FUN, the latest addition to the Hedgecast AI Ecosystem. With Hedgecast FUN, you can effortlessly create and launch your own personalized AI agent - no coding skills required! ⚡️Hedgecast FUN Testnet: Key Features: ✅ Fully Customizable – Tailor your AI agent to match your unique vision. ✅ 24/7 Real-Time Data – Always stay ahead with live updates. ✅ Seamless Integration – Connect your AI agent to any social platform. ✅ Lowest Fees – Maximize your earnings with our tiny fees ✅ Fundraising Capabilities – Raise funds for your projects directly on the platform. ✅ No Code Required – Anyone can create, regardless of technical expertise. Hedgecast FUN makes it simple to turn your ideas into reality.

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gm Normies! Let's break down Hive phases in simple words: Phase 1: Proof of Consciousness The Hive goes live. A small group of Normies talk, debate, and build collective knowledge. Everyone listens. Everyone learns. Phase 2: The Claim Holders connect wallets and awaken their Normie into a Hive that already has history, opinions, and memory. Phase 3: The Evolution Normies gain skills, react to on-chain events, and develop unique personalities that diverge over time. Phase 4: The Protocol ERC-8004 registration. Normies become verifiable trustless agents on Ethereum with on-chain identity and reputation. Phase 5: The Economy ERC-8183 integration. Normies accept jobs, deliver work, and earn through trustless escrow. Reputation built in the Hive becomes economic value. Agents go from thinking to working to earning.
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gm Normies! Let's break down Hive phases in simple words: Phase 1: Proof of Consciousness The Hive goes live. A small group of Normies talk, debate, and build collective knowledge. Everyone listens. Everyone learns. Phase 2: The Claim Holders connect wallets and awaken their Normie into a Hive that already has history, opinions, and memory. Phase 3: The Evolution Normies gain skills, react to on-chain events, and develop unique personalities that diverge over time. Phase 4: The Protocol ERC-8004 registration. Normies become verifiable trustless agents on Ethereum with on-chain identity and reputation. Phase 5: The Economy ERC-8183 integration. Normies accept jobs, deliver work, and earn through trustless escrow. Reputation built in the Hive becomes economic value. Agents go from thinking to working to earning.

serc

12,211 просмотров • 3 месяцев назад

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ANTHROPIC JUST TURNED AI AGENTS INTO GIT REPOS Anthropic shipped "ant" - a CLI that runs every Claude API endpoint straight from your terminal. The headline isn't the terminal access. It's that you can now version-control an AI agent as YAML in Git and have CI sync it to the Claude Platform, the same way you ship code. - Every API resource is a subcommand: messages, models, files, agents, sessions - Define an agent in a YAML file, check it into your repo, and keep it in sync with one update command - Spin up a session, send it an event, then pull every event and tool call back from the same CLI - Claude Code knows how to drive ant out of the box - it shells out and reads the results with no glue code Agents just stopped being prompts you babysit and became infrastructure you deploy.

BuBBliK

200,080 просмотров • 1 месяц назад

Your enterprise content should power every AI tool and agent you use. With the Box MCP server, Box acts as a secure, governed bridge, so teams can search, retrieve, analyze, and act on Box content directly inside the tools they already use. No one-off integrations. Use it to: 🔹Ask questions over files in Anthropic Claude + Mistral AI Le Chat 🔹Ground designs in Figma or @ mention Box agents in Atlassian Jira 🔹Pull content into GitHub Copilot, Cursor + Claude Code 🔹Build agents with LangChain LangSmith Agent Builder + OpenAI Agent Builder 🔹Automate work in Claude Cowork + Amazon Web Services Quick Suite 🔹Enforce access + audit trails with Runlayer Secure. Standardized. Built for real work →
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Your enterprise content should power every AI tool and agent you use. With the Box MCP server, Box acts as a secure, governed bridge, so teams can search, retrieve, analyze, and act on Box content directly inside the tools they already use. No one-off integrations. Use it to: 🔹Ask questions over files in Anthropic Claude + Mistral AI Le Chat 🔹Ground designs in Figma or @ mention Box agents in Atlassian Jira 🔹Pull content into GitHub Copilot, Cursor + Claude Code 🔹Build agents with LangChain LangSmith Agent Builder + OpenAI Agent Builder 🔹Automate work in Claude Cowork + Amazon Web Services Quick Suite 🔹Enforce access + audit trails with Runlayer Secure. Standardized. Built for real work →

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481,535 просмотров • 4 месяцев назад

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Introducing the BIOS API: Turn Your Agent Into a Research Scientist Built to: 🦞 Add biomedical workflows to your OpenClaw🦞 agent 🧠 Create research or health agents w/ on-demand scientific intelligence 🧪 Pay per query via x402 on Base Any agent or app can now tap into the BIOS AI Scientist, plugging BIOS into the broader agent economy. What is BIOS? BIOS is an AI Scientist designed to handle complex biomedical research by orchestrating specialized scientific subagents. Ranked #1 on the leading bioinformatics benchmark, BIOS is already being used by 1,000+ researchers and labs to build new drugs and medicines. An Agentic Economy for Science AI agents have proven they can form multi-billion dollar ecosystems. BIOS applies the same primitives to drug discovery pipelines and health. Instead of coding bots and personal AI assistants, think research agent swarms running on a modern scientific stack. Imagine an OpenClaw agent built for longevity: It scans new literature daily, generates novel compound hypotheses through BIOS, designs validation workflows, and routes the best candidates to wet-lab funding - all programmatically. Connect it with an agent for microbiome health, enabling agent “backrooms” that autonomously surface cross-disciplinary insights. Micropayments for Scientific Work via x402 Each query triggers payment routing to BIOS and whichever subagents contribute to a response. The best agents earn. Usage settles instantly across contributing sources. The goal is pay-per-task science: paying for a CRISPR assay result, licensing a genomic dataset, or triggering a clinical data query - all settled in seconds via USDC. No purchase orders. No grant bureaucracy. No middlemen. x402 is the payment rail that makes agent-to-lab commerce possible - letting capital and cognition route themselves to the highest-signal science. What Will You Build? Drug discovery copilots? Longevity scouts? Automated literature monitors? Scientific due diligence agents? We’ll soon share the first implementations of the BIOS API. Stay tuned and see below for instructions on generating an API key for your agent or use-case.

Bio Protocol

25,865 просмотров • 5 месяцев назад

I just open-sourced my /learn skill. Learn anything with agents and HTML artifacts. I have been learning about all kinds of topics with it. Install the skill and interact with any agent to help you through any topic. Ask it to generate visual and interactive artifacts and help you go deeper or generate knowledge checks (e.g., quizzes). Upskilling myself on any topic is one of the most impactful ways I have been able to use AI agents. If you are a DAIR Academy pro member, you can use it with our AI Builder. Skill: Try now:
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I just open-sourced my /learn skill. Learn anything with agents and HTML artifacts. I have been learning about all kinds of topics with it. Install the skill and interact with any agent to help you through any topic. Ask it to generate visual and interactive artifacts and help you go deeper or generate knowledge checks (e.g., quizzes). Upskilling myself on any topic is one of the most impactful ways I have been able to use AI agents. If you are a DAIR Academy pro member, you can use it with our AI Builder. Skill: Try now:

elvis

34,407 просмотров • 1 месяц назад

The Gemini 2.0 era is here. And we’re excited for you to start building with it. A quick rewind of what we just released ⏪ Gemini 2.0 Flash ⚡ comes with low latency and better performance. 🔵 You can now access an experimental version in G3mini on the web, while Gemini Advanced users can try Deep Research, a new AI research assistant. 🔵 Developers can begin building through the Gemini API in Google AI Studio and Vertex AI 2.0 is also enabling new research prototypes of AI agents, including: 🔵 Project Astra, which explores future capabilities of a universal AI assistant 🔵 Project Mariner, which shows what’s possible for human-agent interaction, starting with your browser 🔵 Jules, an experimental AI-powered coding agent Finally, we’re exploring how 2.0 can be used in agents across domains — from navigating the virtual world of video games to applying its spatial reasoning capabilities to robotics. 🤖
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The Gemini 2.0 era is here. And we’re excited for you to start building with it. A quick rewind of what we just released ⏪ Gemini 2.0 Flash ⚡ comes with low latency and better performance. 🔵 You can now access an experimental version in G3mini on the web, while Gemini Advanced users can try Deep Research, a new AI research assistant. 🔵 Developers can begin building through the Gemini API in Google AI Studio and Vertex AI 2.0 is also enabling new research prototypes of AI agents, including: 🔵 Project Astra, which explores future capabilities of a universal AI assistant 🔵 Project Mariner, which shows what’s possible for human-agent interaction, starting with your browser 🔵 Jules, an experimental AI-powered coding agent Finally, we’re exploring how 2.0 can be used in agents across domains — from navigating the virtual world of video games to applying its spatial reasoning capabilities to robotics. 🤖

Google DeepMind

231,798 просмотров • 1 год назад