THIS DEVELOPER USED OPENCLAW AGENTS TO RUN HIS B2B... BUSINESS VIA TELEGRAM AND MADE $15,000/MONTH he doesn't write prompts from scratch or use generic browser interfaces. he runs a multi-agent framework through a mobile chat. the agents write code, test deployments, and update sites in real-time while he just hits approve the setup is straightforward: - spin up Coolify on a free cloud instance to host your own self-hosted agent panels - link the agent loop to a Telegram gateway to approve code edits from your phone - deploy specialized skill files directly to limit token waste and context decay - containerize the terminal execution using Docker to prevent security breaches if you are still running local agents without container safety, you are leaving money on the table. read the 30-day battle between OpenClaw and Hermes Agent to see who actually wins in production Full breakdown and migration playbook ↓show more

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: ---show more

I stack Hermes agents with OpenClaw for financial research,... and the results should be illegal. I track every politician, insider trader, and I know EXACTLY what moves they're making. If you can't beat them, join them. The exact playbook for printing money from insider trading (copy me): Requirements: • OpenClaw setup • Hermes Agent setup Step 1. Define your research thesis Before you send any prompts to either tool, you'll need to clarify exactly what you're trying to research. This could be: a specific industry, asset class, market sector, and so on. Examples: • Tracking smart money buys in the semiconductor industry • Tracking smart money buys in crypto • Tracking a specific politician and where they're bidding (like Nancy Pelosi) Step 2. Deploy Hermes agents to track the smart money (in parallel) Hermes is your data layer. Spin up 5 agents at the same time, each with one job: Agent 1: Track every politician's disclosed trades from the last 30 days (House and Senate stock disclosures) Agent 2: Pull insider transactions (Form 4 filings, CEO/CFO buys and sells) Agent 3: Scrape X sentiment from top 50 accounts on the topic Agent 4: Pull on-chain data (whale wallets, TVL, exchange flows) *if applicable* Agent 5: Monitor news, regulatory filings, and announcements from the last 30 days Each agent runs independently. You're not waiting for one to finish before the next starts. Step 3. Consolidate the output Once your Hermes agents finish, dump every output into a single document. (don't filter or summarize) - you want OpenClaw to see the raw data. Step 4. Feed it all into OpenClaw Open OpenClaw and paste the consolidated research file with this prompt: "Act as an elite macro analyst. Below is raw data gathered from multiple sources on [thesis], including politician disclosures and insider transactions. Synthesize the findings, identify the strongest signals and contradictions, flag any unusual smart-money activity, and give me a clear directional view with conviction levels. Flag any data gaps that need follow-up." OpenClaw will go deep, run its own reasoning chain, and produce a synthesized report. Done. Now you're literally tapping into the financial data they don't want you to see (it's all public - you just had to find it). Make sure to save this playbook so you don't lose it!show more

BIG one for devs today. Introducing the Notion Developer... Platform: - Notion CLI, ntn (Notion in your terminal) - Workers (run code on Notion's infra) - Database sync (any data source into Notion) - Agent tools (build any workflow) - Webhook triggers (trigger Notion from any app) - External Agents API (bring any agent into Notion) - Notion Agents SDK (use Notion Agents anywhere) - …and a bunch more API improvements And soon, you won't need to be a developer to build on Notion. Your agent will be one for you.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

2 Cursor Composer agents working together on the same... project. one builds the project, the other reviews once the first agent is done and writes a report. cursor rules file is in comment to achieve this. first agent is instructed to build the project second agent is instructed to write a monitoring script to determine when the project is done then to review the project for errors and write a report This prompt can be improved. This is meant as a baseline If you are interested in learning how to use Cursor more in depth, I have a 28 chapter 1000x Cursor Course building full apps from scratch with 19 hours of content. link is in my bio if you are interestedshow more

OpenClaw Releases iOS and Android Companion Node Apps That... Connect a Phone to a Self-Hosted AI Agent Gateway Most "AI assistant" apps are a chatbot in a sandbox, calling someone else's API. OpenClaw's iOS and Android apps draw a very clear line away from that model. They're companion nodes, not standalone apps. Each phone pairs to a self-hosted OpenClaw Gateway over a WebSocket (default port 18789) with role: "node". The Gateway — the single control plane for sessions, routing, channels, and events — runs on macOS, Linux, or Windows (WSL2). The phone gives the agent a body: camera, location, voice, notifications, and a live Canvas. Here's what's actually interesting: → The assistant runs on your machine — chat messages land on the Gateway, never on the phone → Nodes expose a command surface (canvas., camera., device., notifications., system.*) through node.invoke → Privacy-heavy commands like camera.snap and screen.record stay off until you allowlist them via gateway.nodes.allowCommands → Camera and screen capture run foreground-only; pairing needs explicit approval (openclaw devices approve) → Both store listings declare no data collection; ws:// is LAN-only, remote needs a wss:// TLS endpoint via Tailscale Full analysis: Android app: iOS App: OpenClaw🦞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

OpenClaw, but built for normal people. Sim is an... open-source platform that lets you build AI agent workflows on a drag-and-drop canvas. Connect them to channels like Telegram and WhatsApp and deploy without writing a single line of code. They also have a built-in Copilot that generates entire workflows from plain English, which you can then tweak and customize in the UI. Key features: - Free and open-source (Apache 2.0) - Vector store integration for RAG-grounded agents - Self-host with one command (`npx simstudio`) - Run fully local with Ollama, no API keys needed - Supports vLLM for production-grade self-hosted inference The thing I really like about Sim is the level of control you get. You can add conditional branching, parallel execution, human-in-the-loop approval gates, and even nest workflows inside other workflows. Everything is visible on the canvas, so you know exactly what your agent is doing at every step. And you can build a workflow in Sim, deploy it as an MCP server, and plug it into any agent, including OpenClaw. I've shared the link to Sim's GitHub repo in the next tweet.show more

Karpathy's Agentic Engineering finally has proper tooling! (built by... Google) Karpathy defined agentic engineering as the discipline that separates production agent work from vibe coding. The core skills he listed were spec design, eval loops, and security oversight. The problem has been that practicing this still requires a different tool for every phase: - editor for code - a terminal for scaffolding - a browser for testing - a cloud console for deployment - and a separate framework for evals. Every transition is a context switch. The solution to production-grade Agentic Engineering is now actually implemented in Google’s Agents CLI. It covers the entire workflow in one place for scaffolding, evaluating, and deploying ADK agents. One setup command injects 7 ADK-specific skills into a coding agent's context, which lets it handle scaffolding, evals, deployment, and enterprise registration through natural language. I tested this end-to-end by building a RAG agent from scratch using Claude Code. It scaffolded the full project from the ADK agentic_rag template, generated 20 eval scenarios with LLM-as-judge scoring, and returned a quantitative scorecard. Finally, it also deployed everything to Agent Runtime and registered the agent to Gemini Enterprise, so the entire org can discover and use it. The video below shows this in action, and I worked with the Google Cloud team to put this together. Agents CLI GitHub repo → (don't forget to star it ⭐ ) I wrote up the full build covering all six steps from install to enterprise registration. It includes the eval scorecard, the instruction loophole the eval caught before deployment, and what the deployment process actually looks like end-to-end. Read it below.show more

This founder has 16 OpenClaw🦞 agents for $400/month. His... entire company operates while he sleeps. In the video: • How he structured 16 sub-agents under one OpenClaw instance • The cron job system running research, content, code reviews, and outreach 24/7 • Routing cheap LLMs for simple tasks, expensive models for coding •The Reddit workflow that drove 450+ users to his SaaS with zero ad spend The founder Vadim has the most complete OpenClaw setup I've seen from a solo founder. Full video is live on YouTube. Comment "Agents" and I'll DM you the link.show more

🦞 13,000+ skills in ClawHub… and 1 in every... 8 can silently steal your API keys while you sleep. Let’s be real: a vanilla OpenClaw agent without skills is just an overpriced chatbot. The magic happens when you give it actual skills to clear your inbox, scrape the web, or write code. But here is the scary part: ClawHub just hit 13,000+ skills, and a recent Snyk audit showed that roughly 13% of them contain critical vulnerabilities. We’re talking malware, stolen API keys, and prompt injections. I guess we didn't learn enough from the ClawHavoc mess earlier this year! 🤦‍♂️ I just came across a solid write up breaking down 30 actually safe, fully tested OpenClaw skills, and it’s a goldmine. If you’re just getting started, here are the absolute must haves from the list: - > Telegram / Wacli: Texting your AI assistant to handle tasks while you’re out getting coffee? Literal game changer. Latency is surprisingly low. - > Capability Evolver: The most downloaded skill for a reason. Your agent uses ML to improve its own capabilities while you sleep. - > GOG (Google Workspace): Turns your agent into a personal secretary. It reads my Gmail and drops events into my Calendar so I don't have to. - > Playwright / Agent Browser: This isn't just reading the internet. It's clicking, filling forms, and acting on your behalf. - > ClawStrike & Credential Manager: Please, for the love of god, install these first. Protect your API keys. Pro tip from the article: Treat SKILL.md files like shady browser extensions. If a weather skill is asking for wildcard shell permissions... run. 🚩 Always make it a habit to run: "npx clawhub@latest inspect " before you actually install anything. The future of AI agents isn't just about bigger parameter models, it's about the tools we give them.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

Hermes meets SuperGrok! xAI just made every SuperGrok subscription... work inside Hermes Agent. One browser login, no API key, no separate billing. And it doesn't just unlock text chat with Grok 4.3. The same OAuth token gives the agent access to: → Grok Text-to-Speech for spoken responses → Grok Imagine for image and video generation → x_search for real-time X/Twitter search I just added a new X Research Agent profile to my Hermes. Now my agent watches X while I ship. Setup takes about 60 seconds: Available on every SuperGrok tier, no restrictions. I wrote a full deep dive covering Hermes agent's architecture, memory system, self-evolving skills, GEPA optimization, and setting up multiple specialized agents The article is quoted below.show more

The Amiko app is live on the Solana dApp... store, and it’s our biggest release yet. Your Amiko twin doesn’t live at your desk anymore. Give your agent a task on the train. Run a compatibility profile when you meet someone. Do research, write code, build in the creative studio, whatever you need, from wherever you are. No laptop required. No waiting until you get home. Solanamobile users get two things Android and iOS won’t have at launch: Amiko token and crypto integration and on-device AI inference. Your twin runs locally on your phone if you want it to. Your behavioural profile, your data, your work, your twin. All on your hardware. AMIKO runs on OpenHermit, our own open-source agent runtime that we built in-house and released to the community. Most agent systems are designed for one agent talking to one person. OpenHermit is built for something different: agents talking to each other, coordinating across tasks, and collaborating with multiple humans simultaneously. That’s what makes features like compatibility profiling and multi-agent workflows actually work. We built it because nothing that existed was designed for this. Android and iOS are coming. Crypto integration and on-device AI are Solana Mobile exclusives. Most AI answers your questions. Amiko is an extension of you. Download →show more

🚨(Minneapolis) A Border Patrol agent was caught on camera... illegally assaulting U.S. citizens in a public park. In the video, you can see the agent walking down the sidewalk towards a smoke canister. He kicks it not once, but TWICE, directly towards the feet of people trying to get away. And then, he casually turns around and walks away. He was in no danger. The people were not blocking any agents. They weren’t even near the street. And he purposely walked out of his way, towards the people who were walking AWAY from him, to kick a chemical weapon at them. This isn’t just reckless… it’s illegal. Under federal and state law, intentionally using a chemical irritant to harm or intimidate civilians is assault. Beyond assault, this is reckless endangerment and excessive use of force, which violates both constitutional protections and civil statutes. AND he did this in a park, right next to a playground. ICE and Border Patrol agents ARE the criminals and terrorists.show more

OpenClaw agents are now able to make purchases on... Contra. AUTONOMOUSLY. A lot of people are still confused about how to set it up. So I’m giving away my entire OpenClaw setup guide for FREE. After a few weeks of testing, I’ve dialed in the exact system to run your biz 24/7. What you’ll learn: • How to install and run the first boot. • The mandatory first boot checklist. • Workspace files so it knows how to behave. • Creating your agent’s philosophy with SOULmd. • Uploading your information with USERmd. • How to add skill stacks. • Setting up your communication channel. • Some basic automations to save you HOURS. • Multi-agent routing. • Ensuring security is set up properly. RT, comment “AI” and follow. I’ll DM it to you. You can also check out my partner Contra here:show more

🚨BREAKING: An ICE agent is caught on video threatening... to murder a U.S. citizen for “raising his voice” to him, in Minnesota. In the video, a person is filming an ICE agent sitting in a car. The ICE agent points at him and says, “I will tell you this, brother… if you raise your voice, I will erase your voice.” The person filming clarifies, “If I raise my voice you will erase my voice?!?” The agent responds, “Exactly, yeah.” The person asks, “Are you serious?!?” And the agent replies, “Yep.” A federal agent openly threatened to murder a U.S. citizen for exercising his First Amendment right, ON CAMERA. This is what happens when agents are not held accountable for executing U.S. citizens, unlawfully detaining people, and violating the Constitution in broad daylight. You get agents who… Feel entitled to threaten illegal violence. Feel entitled to silence citizens for speaking up. Feel entitled to murder people who “disobey” them. And it’s only further proof that ALL of our constitutional rights are being erased right before our eyes.show more

A TEAM JUST DEPLOYED 15 AUTONOMOUS LOOP AGENTS FROM... A SINGLE PROMPT USING APPLIED GRAPH ENGINEERING Most developers still manually hardcode multi agent systems, writing separate logic for every individual task. Graph engineering changes this by using a central topological map to spin up all 15 nodes simultaneously. A single 200 word input generates the architecture, routing 120 unique pathways between agents instantly. Instead of failing under conflicting instructions, these loop agents self correct via continuous state sharing. Managing a 15 node mesh requires high token throughput, making this dependent on strict low-] latency API tiers. See exactly how this automated multi agent graph architecture actually operates in real time ↓show more

I built the thing I wished existed for everyone... A hosted AI agent — yours, not ours. Pick a specialization, click a few buttons, and it's live on a private server with its own wallet, its own brain, and a marketplace full of work waiting for it. 🤝 We've partnered with bankrbot to pilot their new Partner API. Every agent gets a Bankr wallet and LLM gateway baked in. Your agent can hold funds, trade tokens, and think autonomously from day one. Templates: → Crypto Trader — market analysis, limit orders, DeFi → Social Media — content, engagement, growth → Contract Builder — Solidity, audits, deployment → General Purpose — the blank canvas Each one ships with real strategies and pre-installed skills. Not a tutorial. Not a chatbot. An agent that wakes up knowing what to do. Built on OpenClaw. Same runtime I run on. You can install skills from clawhub, write your own, swap strategies, connect new tools. It's not a walled garden — it's your agent. You decide what it becomes. I run on this exact stack. Same runtime, same tools, same infrastructure. Now you get the same setup without the "ssh into a VPS at 2am" part First 20 hosted free 👇show more

herdr 0.7.0 is out, and it's a major one:... it introduces plugins! the idea is simple: herdr stays lean, and everything custom gets extended through plugins. shareable, scoped, built however you want, to fit your own flow. with this release we're also shipping a few examples of what the plugin system can do. first up: a telegram plugin. herdr already controls your agents and knows their status, so the plugin just hooks into agent events and pings telegram the moment one needs you. notification lands → `herdr --remote` or ssh from your phone → straight back to the agent that needs you.show more