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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. -
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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We built ModelRed because most teams don't test AI products for security vulnerabilities until something breaks. ModelRed continuously tests LLMs for prompt injections, data leaks, and exploits. Works with any provider and integrates into CI/CD. Happy to answer questions about AI security!
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MongoDB - Build AI That Scales🗄️ Database -
Empowering Organizations to Achieve Compliance ReadinessOpenI used this tool today and loved how simple and insightful it was!
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