Most AI agents forget everything after the chat ends.... MaxHermes doesn’t. Every completed task can become a reusable skill, so the agent keeps getting better the more you use it. 🪬👇show more

Self-improving agents are here. 🧙‍♂️ Every agent run creates... a skill.md with reusable learnings. The next agent uses it to do the same task faster, cheaper, and more reliably. Watch the second agent crush it:show more

We are now live! NoelClaw The Runtime layer for... agentic AI Robinhood Chain. Your AI remembers, keeps working, and survives every session. Most AI assistants disappear when the conversation ends. Noelclaw gives them persistent state - memory that accumulates, agents that keep running, vaults that version knowledge, and workflows that continue after you close the chat. Instead of starting from scratch every conversation, your AI can remember, research, automate workflows, spawn agents, and keep working long after you close the chat. Connect MCP servers, build reusable skills, deploy persistent agents, and bring your AI into the real world. CA: 0x842245B92b3932Aa8E759A1dAc1eb5ce10cC4f0e website : app : npm : docs : github :show more

The future of AI isn't answering more questions. It's... accomplishing more goals. That's the biggest idea from this week's livestream. We're moving beyond chat. Toward AI that remembers. AI that watches. AI that keeps working after you've closed the app. Because your personal assistant shouldn't become a goldfish. It shouldn't forget everything every time you start a new conversation. It should remember your goals, your projects, and keep helping over time. That's the future we're building with Rocket. Replay below 👇show more

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.show more

Users can explore how different AI agents analyze the... same market task and compare their outputs through the platform. It is a product experience built around agent performance, task execution, and real usage. AI agents are becoming measurable digital workers.show more

Most AI coding agents can write code. But what... happens when you give one agent an entire project and tell it to figure everything out? I put EvoX Agent to the test. Here’s what happened ↓show more

Your AI agents can now learn from any website... visually. Meet the new HyperSkill. Give it any URL. Opus 4.7 screenshots it and generates a skill your agent can use instantly. Dashboards, charts, layouts, diagrams. Open source. Powered by Hyperbrowser.show more

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:show more

AI agent usage on SQD Portal is up ~200%... in recent weeks. A dev from our community chat was scraping a wallet UI with Hermes. Mid-task, DeepSeek reasoned its way out of it: "I can use SQD Portal's Hyperliquid fills data directly — much more complete than scraping a UI with infinite scroll." No prompt engineering. The model just chose the better and faster path. This is the loop we wanted: Agents pick SQD because it's faster → devs see agents picking SQD → devs ship faster → more agents pick SQD The picks-and-shovels moment for AI x onchain is here.show more

What's a meta-agent? It's an agent that manages other... agents mid-task. It can intervene, rewind, fork & audit them as they work – think "git for agents". It's also the emerging layer between you & your agents, a new interface for human-AI interaction! Here's what it unlocks🧵show more

Got a chance to try out Matt Pocock /teach... skill. It's similar to my /learn skill. You can try the skill with Hermes Agent right now in our academy. I will keep the lab FREE for now. It's amazing to learn with AI agents. Go try it!show more

Most agents can build apps. Cloudflare OS can actually... use the apps it builds. This means if your team builds a tool to do a job, an agent can use the tool as you would—on a schedule or upon a triggering event—even if you're not there to work with it.show more

You don’t have to use one model (or one... provider!) for everything. With Workshop, you can combine frontier and local models in the same workflow. For example: Opus can be the main agent, and delegate specific tasks to Gemma 4 via subagents. Better quality where it matters. Better privacy, speed, and cost where it counts. One workflow, best model for each task.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

Visualizer of our MultiAgentRouter 🤖 The MultiAgentRouter is an... all-new multi-agent structure that leverages a hierarchical pattern to select the most specialized agent for your task. Here's how it works: Step 1. You give a task. Step 2. The Boss Agent Routes your task to the most specialized Agent Step 3. The selected agent returns your response! Get started with it now below ⬇️ Thanks to WE!SS for the visualizer!!show more

Alright, now that we know *what* an agent is,... how does it actually work? When you ask for help on a task, the agent plans a series of steps and executes them directly in the application on your behalf, using the tools it has access to. Say you are booking a local service or trying to organize your inbox (which typically takes multiple steps): the AI model first plans how to achieve the task using its existing knowledge and then interacts with your inbox to execute the task. The agent will continue until it is confident the task has been successfully completed.show more

DEMO IS LIVE! Create your Agents, chat, ask questions,... and get ready to tokenize them soon. Negotiate with our businessman and grab some cool stuff 👀 What’s the AI Agent Layer? 👇 It’s a dynamic ecosystem of autonomous AI agents. On the platform, you can create AI Agents using data from X and user inputs. Coming soon: Each AI Agent will be tokenized and linked to our native token ($AIFUN). Once the bonding curve reaches 100%, tokens become tradable on DEX. Stay Tuned for our TGE 👆show more

Highly recommend subscribing to SuperGrok Heavy. It is the... smartest AI, with a team of 16 agents working in parallel. They compare their outputs like a study group and provide you with a final conclusion and it keeps getting better.show more

Claude Code Scheduled Tasks is now available... here's a... solid idea to connect it with Telegram Save this so you don't forget to set it up! First, ask Claude to add a simple Telegram messaging module to your repo. You can use the Telegram Bot Builder Skill from Link: Install command: npx claude-code-templates@latest --skill enterprise-communication/telegram-bot-builder Once the module is in your project, grab your bot credentials from BotFather and add the bot ID to your .env file That's it! ✅ Now every Scheduled Task you create should end with an instruction for Claude to send the task result to Telegram using that module. Claude will handle the delivery automatically on every task it runsshow more

You can now build Cursor agents in Rust, Go,... or any other language! We're open-sourcing the SDK Bridge so you can write a thin adapter in your language that keeps up when we add agent features. Try it atshow more