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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. -
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. 🚀 -
Gave it a try, before i used to use Calendly and manually tag them as important. Used some trackers on Appstore but this works just as well if not better, really like it! -
Trust scores, cryptographic proof, and risk assessment for AI agents.Open
We 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. -
good for beginners & really awesome features, yet to be integrated within themselves -

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Enable LLMs to search and analyze live social media through natural language.Open
Simple idea, well executed. Makes social data usable inside LLM-based workflows instead of external dashboards
Verified tools
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Feels like outbound is shifting from manual SDR work to autonomous sales agents. Are your users mostly SaaS founders running their own outbound, or larger sales teams?
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The hybrid feature is very powerful. I finally don’t need to manage our local knowledge base anymore.
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Easily the best Chat GPT alternative... A hidden Gem. A few issues with reasoning models but overall awesome product
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No way to test it. Only paid options. The 7 days trial requires a credit card. this sounds as a scham
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