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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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This is the first AI marketing tool I’ve used that actually helps me get things done, not just suggest generic ideas. The mix of AI-powered strategy and real experts executing the work makes it feel like having a high-performance marketing team without the overhead
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MiniMax Agent — v2.7 MMuch stronger software-engineering performance, with major gains in multilingual coding, repo-level delivery, terminal workflows, and live production debugging. Bigger agent upgrade, adding native Agent Teams style collaboration and much stronger tool or skill adherence in complex harnesses. Better professional office work, with stronger Word, Excel, and PPT editing plus higher-quality multi-round revisions on existing files. More capable real-world task execution, including reading reports, building financial models, generating slides, and writing research documents as part of one workflow. A new self-evolution angle is central to the update, with the model helping improve its own harness, memory, workflows, and optimization loops.
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