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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. -
With the AI memory of aiqbee I can build any type of AI context (a Brain) and use it with any LLM model to produce context specific results instead of guess work. I can also combine different brains or use brains from a marketplace to enrich the output quality. -
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Great UI/Ux however outputs from long memory are short. Still giving it a chance but just not what I thought it would be
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it's actually kinda crazy. turned nothing (or lazy ideas) into tiny apps. and you can even tweak stuff. love that it's open source too. big ups to the dev. oh and it's really REALLY quick
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Extremely excited about this project and all the possibilities that follow!
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