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mujtaba sheikh🙏 8 karmaMay 15, 2026@PaioClawDoes what it says. Signed up, picked a pre-built agent, live in under a minute. Token savings are noticeable, security is handled, and I don't have to think about Docker or VPS configs anymore. Free tier is enough to know if it works for you. It did for me. -
Hermes Agent with zero setup, maintenance, or infrastructure management.Open
What's new: • Telegram in both dashboard and onboarding. • Model selection in both dashboard and onboarding for ALL providers, not only Nexos. -
🔧 Technical Highlights • Support for ChatGPT 5.5 • Support for Claude Opus 4.7 • Pre-installed channel integrations in deployment images • Secure webhook infrastructure with token authentication • Full automated test coverage for webhook functionality • New APIs supporting future hosting panel integrations • Enhanced container startup experience • Improved plugin lifecycle management -
One-click OpenClaw setup with AI inference included, no token capOpen
Awesome idea to have a unlimited token plan tied directly to a managed opnclaw instance. A little bit tricky to get setup without CLi access. but seems to work well once you get past that! -
Building multi-agent AI systems shouldn’t require wrestling with messy Python boilerplate, cloud subscription or complex local setups. I built AgentSwarms (AgentSwarms.fyi) to solve this. It’s an interactive, in-browser visual sandbox for learning, building, testing, and orchestrating multi-agent AI workflows. Instead of relying on a single AI chatbot that easily hallucinates, AgentSwarms lets you drag and drop specialized AI agents—like data extractors, code reviewers, and SQL query nodes—to handle complex tasks reliably. Key features for builders: Visual Edge Tracing: Stop guessing why your AI failed. Click any connection line to see the exact JSON data passing between agents in real-time. In-Browser Execution: Powered by local DuckDB WASM. No backend setup required. Enterprise Templates: Test reverse-engineered Agenitic AI architectures for Cybersecurity, Finance, and E-commerce and 10+ industries right on the canvas. If you are tired of black-box AI debugging and want to master Agentic AI orchestration visually, come try the sandbox for free! Let me know what you think of the new execution history features. 🚀 -
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Great tool for engaging customers and repurposing content! I also made a video on it https://youtu.be/cIEUz3bxPRc -
AI agent for Jupyter: Generate code, run cells with natural language.Open
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Love the idea of having a business/personal AI page you can share across your online channels. It’s perfect for creators, professionals & businesses of all kinds. the customization and design options are excellent... and it’s super easy to train and make your AI your own. nice work!
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I have seen it on Reddit, surprisingly, it did help me to save 30% in input/output agent tokens, not 60% unfortunately, but for sure better than not using it. Saved way more than I spent on subscription, shame didnt know of 50% discount :)
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- SponsorWispr Flow - Don’t type, just speak🎤 Dictation
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Another ClawdBot inversion, love it. Gotta hope for safety!
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If ai agents collect data but don’t qualify or convert leads, you’re storing inputs instead of generating revenue -> ~25% loss. How many submissions actually turn into deals?
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Great tool. Love the lead generation feature that converts users chatting with the bot into leads in my mailbox
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Trust scores, cryptographic proof, and risk assessment for AI agents.OpenWe built Mnemom because we were shipping AI agents into production and couldn't answer a basic question: how do you prove this thing is doing what you told it to? Not monitor. Prove. So we built the proof layer. Cryptographic attestations, trust scores, risk assessment, containment — everything you need to deploy agents you can actually stand behind. It's free to start and open source. We'd love to hear what you think - new features shipping daily. -
Hello, If you had to describe your AI in one sentence without using the word "AI," what would you say? The reason I asked is because it's an interesting way to understand what makes a product truly valuable. How would you describe it?
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IronClaw feels like how AI agents should’ve been built from the start. Same power as OpenClaw, but your API keys never touch the model.
