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Trust scores, cryptographic proof, and risk assessment for AI agents.Open
Alex Garden🛠️ 1 toolFeb 24, 2026@MnemomWe 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.
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I really like DataLine, but I'm kinda biased cause I built it.
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OpenI tested the product on my own idea and was really satisfied with the result. The analysis feels structured, professional, and much more grounded than a typical LLM chat. It helped me see both the strengths and weak points of the idea and made me want to run it again with a more thoughtful input. I also liked the detailed AI analysis logging, the debate flow, and the potential/readiness matrix. Even after one run, the product already feels valuable for a founder. With deeper UX/UI and technical development, I can see strong potential in it. -
great in Slack or Teams to quickly fetch data and get visualizations
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Data narration and augmentation are valuable tools from datumfuse.ai
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Preemptive cybersecurity that prevents unknown threats in real-time.Open - Didn't find the AI you were looking for?
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- Seemless onboarding of new properties - Data updated daily - Unlimited searches - Automatic comparables identification - Price Recommendations
