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working-memory

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We introduce temporal working memory (TWM), which aims to enhance the temporal modeling capabilities of Multimodal foundation models (MFMs). This plug-and-play module can be easily integrated into existing MFMs. With our TWM, nine state-of-the-art models exhibit significant performance improvements across QA, captioning, and retrieval tasks.

  • Updated Nov 26, 2025
  • Python

A curated list of apps, tools, and resources designed for ADHD brains — not adapted from neurotypical productivity systems. Most productivity tools assume you can plan ahead, maintain routines, and remember what you were doing five minutes ago. These don't.

  • Updated Feb 20, 2026
zenbrain

Agent memory for LLM agents: 7 neuroscience-inspired layers (working, episodic, semantic, procedural) with FSRS spaced repetition and memory consolidation. Zero-dependency TypeScript library, Model Context Protocol (MCP) server, Vercel AI SDK middleware. Wins 9/9 answer-quality comparisons on LongMemEval-500 (3 judges, Bonferroni).

  • Updated Sep 13, 2026
  • TypeScript

Code for "Interpersonal movement synchrony responds to high- and low-level conversational constraints" (Paxton & Dale, 2017, Frontiers in Psychology).

  • Updated Jul 30, 2017
  • HTML

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