#Cognitive-science
Showing 15 of 15 repositories tagged #cognitive-science, ranked by stars
🔥 Comprehensive survey on Context Engineering: from prompt engineering to production-grade AI systems. hundreds of papers, frameworks, and implementation guides for LLMs and AI agents.
Blazingly fast cognitive complexity analysis for Python, written in Rust.
A foundational library for Semantic Hypergraphs
Vestige gives AI agents sharp memory: a local-first Rust MCP server that reaches backward through time to find the quiet change, decision, or service that caused today’s failure, not the lookalike.
🌳 AI-Powered Skill Tree for Lifelong Human Learning. 30+ skills from K-12 to career & social intelligence, built on cognitive science. | 人类养成记：AI 驱动的终身学习技能树
Code and data used to create the examples in "Evidence-based Software Engineering based on the publicly available data"
NGC-Learn: Computational Neuroscience and NeuroAI in Python
:snowflake: :whale: Awesome tools and libs for AI, Deep Learning, Machine Learning, Computer Vision, Data Science, Data Analytics and Cognitive Computing that are baked in the oven to be Native on Kubernetes and Docker with Python, R, Scala, Java, C#, Go, Julia, C++ etc
Workshop on basic machine learning, computational modeling, psychophysics, basic data analysis and experiment design
Go implementation of Leabra algorithm for biologically-based models of cognition, based on emergent framework (with Python interface)
Persistent memory for Claude Code — 36 neuroscience mechanisms, 97 papers. Reproducible via `make reproduce`: LongMemEval-S R@10 98.2% / MRR 0.915 (n=500), LoCoMo R@10 91.5% / MRR 0.805 (n=1982), BEAM-100K retrieval-proxy MRR 0.55. Clean-DB, single-process, production recall path. PostgreSQL + pgvector.
Unleashing the Power of Cognitive Dynamics on Large Language Models
认知计算神经联盟 讨论会
Spatial prompt engineering through interactive 3D concept graphs
The Architecture of Thought: The Dialectical Cognition Framework - A Treatise on Human-AI Collaboration