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Trust scores, cryptographic proof, and risk assessment for AI agents.Open
Alex Garden๐ ๏ธ 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 โ 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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To start a learning application, I think this is a great platform to support adaptive and personalized learning.
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I have used this for several personal assistant applications and it works amazingly. Obviously it is still restricted to the flaws of any model you are using it with, but the ability to constrain prompts is incredibly helpful (especially when it comes to getting things like JSON format from the AI).
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Base44 Superagents-AI agent that does it all -
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Love that itโs open source. I built a whole GPT content pipeline in a weekend.
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Your expert for Quantum Computing and Neural Machine Learning.Open
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