Yugen Quest
Gamify your learning journey
What it does
Yugen Quest is a browser extension that maps AI responses to a structured Skill Tree, letting you track your progress, earn XP, and master any subject through interactive games and strict, grounded evaluation.
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- LALinggen – A local-first memory layer for your AI (Cursor, Zed, Claude)Dec 2025 · github.com · ▲36
Hi HN, Working with multiple projects, I got tired of re-explaining our complex multi-node system to LLMs. Documentation helped, but plain text is hard to search without indexing and doesn't work across projects. I built Linggen to solve this. My Workflow: I use the Linggen VS Code extension to "init my day." It calls the Linggen MCP to load memory instantly. Linggen indexes all my docs like it’s remembering them—it is awesome. One click loads the full architectural context, removing the "cold start" problem. The Tech: Local-First: Rust + LanceDB. Code and embeddings stay on your machine. No…
- CACoursegen.ai – AI powered individualized learning platform2023 · ▲5
Hey HN, Cole and Alex here. We're excited to share CourseGen (https://www.CourseGen.ai), an AI-powered platform that aims to rethink the traditional approach to education by utilizing generative AI models for creating individualized learning paths. If you're into AI, education, and how these two can intersect, you might find this interesting. The backbone of CourseGen is the generative AI. Instead of the one-size-fits-all courses, CourseGen aims to craft tailored, non-linear learning paths. Think of it like a choose-your-own-adventure book, but for learning. We acknowledge that…
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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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…
AI · 27d ago · cactuscompute.com
Launched alongside, March 2026
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Switch from ChatGPT to Claude with import memory feature
AI · Mar 2026 · claude.com
