
memorize.it
Your all-in-one memory toolkit
What it does
Memrizer-it is an all-in-one learning tool designed to help you memorize faster using active recall and AI. Turn your notes or PDFs into flashcards instantly, practice with fill-in-the-blanks, and strengthen retention through interactive recall technique. It also includes AI-assisted mnemonic creation and memory palace generation to help you remember even complex information with ease. ⚠️ Currently in beta — features are still evolving, and feedback is highly appreciated!
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- MOMem0 – open-source Memory Layer for AI apps2024 · github.com · ▲201
Hey HN! We're Taranjeet and Deshraj, the founders of Mem0 (https://mem0.ai). Mem0 adds a stateful memory layer to AI applications, allowing them to remember user interactions, preferences, and context over time. This enables AI apps to deliver increasingly personalized and intelligent experiences that evolve with every interaction. There’s a demo video at https://youtu.be/VtRuBCTZL1o and a playground to try out at https://app.mem0.ai/playground. You'll need to sign up to use the playground – this helps ensure responses are more tailored to you by…

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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
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Launched alongside, March 2026
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Switch from ChatGPT to Claude with import memory feature
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