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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. -
Enterprise-grade open-source AI inference at unlimited scale.Open

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What a tool! Really well designed and thought of. Loved the comparison option. PS: The chatbot is too complicated .. please simplify -
Insanely easy to use yet reliable automation tool. Recommend to give it a try. -

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AI-native OCR platform, 95%+ accuracy, zero prompt engineering, flags uncertain fields.OpenWe are a team of founders who worked before in data extraction, with traditional manual review of each document to check accuracy / errors. We are so excited about AI and the new LLM models because we have created DeepRead using those and the accuracy is 95% and we flag uncertain fields so no one has to manually review entire documents (whew), only the exceptions! We hope you try it out and please share your review, comments and feedback. Looking forward to hearing from users!
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Get Expert AI Marketing Agents to Grow Your Brand With Near-Zero CostOpenI work mainly with the influencer marketing agent and the PPC - and I was able to let go of both my agencies. It's crazy.

