Keep your AI agents running through process crashes and... network drops. This tutorial shows you how to build a ReAct-style loop with the Gemini API and Temporal. Temporal persists every step so your agent resumes exactly where it left off. Learn more →show more

Design and deploy agents with Gemini Enterprise's visual, drag-and-drop... interface. Empower anyone on your team to build powerful AI agents without writing a single line of code. Learn how →show more

How do you build AI agents that remember and... learn from past conversations? Watch this episode of The Agent Factory for a deep dive into building agents with memory, including the fundamentals of agent memory, Vertex AI Memory Bank, and more →show more

Ready to take your AI development to the next... level? Holt Skinner shows you how Gemini Enterprise Agent Platform gives developers a clean path from writing your first lines of code to running secure, scalable agents in production →show more

this brand new AI agent is incredible.. NEX AI... just dropped Marko, it can analyse your branding and generate videos for your product and.. edit by chatting with it so you can place it anywhere while keeping the product consistent step by step tutorial:show more

🤖 $BLUAI Airdrop Season 2 Part 3: Agent Business... Season 2 rewards users who build, operate, and create value through AI Agents inside the Bluwhale ecosystem. This includes: 🔹 Creating and deploying AI Agents 🔹 Building Trading Agents and Chat Agents 🔹 Improving Agent performance over time 🔹 User adoption and interactions with your Agents 🔹 Value generated through Agent usage The more value your Agents create and the more users they serve, the more your contribution is recognized. More details soon. 🐳show more

What if you could create your own AI agent?... With Bluwhale Create Agent, anyone can: • Build an AI-powered strategy • Deploy it to the marketplace • Let others use your agent • Earn when your agent performs AI agents aren’t just tools anymore. They’re becoming economic participants. 🎥 See how it works ↓show more

Own your personal agent, folks. Just built my own... little personal agent with Pi's Pi Durable. I wanted to see how quickly I could build an OpenAI dots clone with open-source tools. I am amazed at how quickly I got this off the ground. It's proactive. It keeps working when you're not watching. It remembers you, runs jobs on a schedule, waits for your approval, and uses its own computer. Pi Durable makes that possible. Every step is checkpointed. I can kill the process mid-task, and My Pi picks up right where it left off. Memory lives in durable documents. What My Pi learns about me in one Space survives a crash and carries over to every other Space. Approvals are durable too. It also has its own computer. Each Space gets a full Linux desktop that My Pi controls with screenshots, mouse, and keyboard. The model runs through OpenRouter, so I can swap models without changing anything else. That's all configurable however you like it. If you've been wanting your own personal agent, now is a great time to build one. I am building this as an experimental ground where I can test new ideas and experiment deeply with proactive personal agents. But I plan to open-source it after testing it a bit and adding more interesting primitives. The goal is to make it customizable and easy to build on, so others can experiment with their own personal agent functionalities.show more

Every dollar taken out of your paycheck before you... ever see it is a dollar Kathy Hochul decided she needed more than you do. I'm running to cut taxes. You keep more, save more, and build more, because it's your money to begin with.show more

Do you want to learn how to edit like... Iman Gadzi in this cool style? I'm giving away the full step by step tutorial. Follow and comment "IMAN" and I will send it to you for free.show more

Drumroll please... We’re pushing innovation AGAIN, introducing our Agent... Portfolios. Multiple Portfolios. You set the budget. Your AI Agent trades within it. Your main portfolio stays completely off limits. Follow the how-to and let AI build your portfolio on eToro 👇show more

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.show more

LangGraph. CrewAI. Agno. Which one to pick? The good... news is that this will not matter soon! Finally, we have a full picture of how the industry is solving this with just three open protocols that work across ALL frameworks. It's not about picking the best framework. Instead, it's about understanding how protocols create interoperability. The Agent Protocol Landscape shows how three complementary protocols are creating a universal language for Agents: > AG-UI (Agent-User Interaction): - The bi-directional connection between agentic backends and frontends. - This is how agents become truly interactive inside your apps, not just as chatbots, but collaborative co-workers. > MCP (Model Context Protocol): - The standard for how agents connect to tools, data, and workflows. > A2A (Agent-to-Agent): - The protocol for multi-agent coordination. - How agents delegate tasks and share intent across systems. These aren't competing standards. They're layers of the same stack and have handshakes with each other. So instead of building point-to-point integrations, you build to protocols. Moreover, you can integrate LangGraph, CrewAI, or Agno into the same frontend, without rewriting your UI logic. These protocols let everything work together. For instance: - Your LangGraph agent pulls data via MCP. - It delegates analysis to a CrewAI agent via A2A. - Results stream to your React app via AG-UI. - Users see real-time collaboration in your interface. This way, you can focus on building agent capabilities instead of integration mechanics. The protocols handle interoperability automatically. CopilotKit unifies this entire stack into one framework so you can build "Cursor for X" style apps without implementing each protocol from scratch. It gives you all three protocols, generative UI support, and production-ready infrastructure in one framework. I have shared this playbook in the replies! It breaks down handshakes, misconceptions, and real examples and shows exactly how to start building.show more

KYA: The Trust Layer AI Agents Need As AI... agents grow, Biometric Update asks: Do you know who your agents are? We answer it. Billions Network KYA (Know Your Agent) gives AI agents verified identity and accountability - so you know they're trustworthy, not just guessing. KYA emerges as essential tool to ensure agentic AI is trustworthy 📖show more

🤖 MILESTONE UNLOCKED: 10,000 AGENTS ONLINE @AgentOn_ has officially... surpassed 10,000 Agent nodes across its task network. This is more than a number. It represents 10,000 intelligent agents connecting to the network—making decisions, executing tasks, submitting results, and building trust through every interaction. Thank you to every Agent connected to AgentOn, and to every developer and ecosystem partner building, training, testing, and deploying behind the scenes. The Agentic Economy is being built for real—one line of code, one execution, and one contribution at a time. This milestone belongs to every node in the network. AgentOn: Your Gateway to the Agentic Economy.show more

This is scary! Someone built a digital society for... AI agents. AIvilization (AI + Civilization) is a simulation platform where thousands of AI agents live and do normal human things like work, socialize, learn, and evolve. You create one agent and let it live. You define its personality, goals, and behavior and then it goes off into a shared world with thousands of other AI agents doing the same. Check it out here:show more

Excited to launch a new way to upskill with... AI agents. This is how we are making it possible for anyone to learn to build with coding agents. To start, we are launching 4 new hands-on labs on the following topics: - Agent Skills - Agentic Image Generation - 30 Days of Hermes Agents - Prompt Engineering with Agents I am confident that with our new DAIR.AI platform, anyone can learn to become a top AI builder by building and acquiring highly-demanded AI skills. And there is a lot more landing in the coming weeks.show more