Calibre plugins to generate metaguided versions of your ebooks, improving your reading focus and speed
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Updated
May 12, 2026 - Python
Calibre plugins to generate metaguided versions of your ebooks, improving your reading focus and speed
Claude Code skills and hooks for staying organized with AI agents.
Your AI has amnesia. Persistent memory and cognitive context for AI. 25 MCP tools. 12ms recall.
Read like a superhero: Turn PDFs into Bionic Reading format https://x.com/Benavent/status/1853508523638116689
Intelligent file organization with computer vision, audio analysis, chunking, proactive AI-powered analysis, interactive classification, and adaptive learning.
A work in progress Telegram bot to help people with Executive Function Disorder (ADD, ADHD, and CPTSD) with certain tasks that are more difficult than they need to be.
🧠⚡ Neurodiversity-affirming AI assistant for ADHD executive function support. Features crisis detection, circuit breaker psychology, and local-first processing.
"Infrastructure for continuity across discontinuity — for AI instances and the humans who work with them."
A client tool and python library to generate metaguided versions of your ebooks, improving your reading focus and speed
Harlo — Your AI coach. Built on USD composition semantics for persistent cognitive state management. Patent Pending.
Code implementation of SHRED variants
Proof-of-concept behavioural analysis system for early detection of dyslexia and ADHD using spelling pattern evaluation, sentence rewriting similarity analysis, and keyboard/mouse interaction monitoring.
Your real-life F.R.I.D.A.Y. — a voice-controlled, self-improving AI OS that perceives your screen, remembers everything, writes production code, and gets smarter every week. One founder = one team.
Human survival post-LGM relied on adaptation, cooperation, and innovation. Neanderthal and Denisovan genes shaped immunity and metabolism, but uniform modern diets clash with these traits, fueling chronic disease. Embracing diversity can drive health and resilience.
synapz is a research prototype exploring how large language models can adapt teaching content to different cognitive styles. built over a 48-hour sprint with a strict $50 api budget, this project implements a scientific framework to test whether adaptive teaching produces measurably better results than static approaches.
Multi-terminal orchestration harness for Claude Code — Generator↔Evaluator loops, Phase Completion Gates, cross-model debate (/tk, /tkc), conflict-free work distribution (/tkm), and blind-evaluator verification (/ralph). v2: enforcement architecture from 31-run analysis.
A machine learning model to diagnose ADHD, using resting-state fMRI data.
Tactile Anchor for Neurodivergent Deep Work
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