Global

A harness is the system around a model that enables it to act as an agent: prompts, tools, memory, skills, orchestration, and more. Harnessing is the process of optimizing that system.

Every dot is a micro-topic, colored by subject; height is age; each thread is a prerequisite (full-quality video). com/curriculum — tap any concept to trace everything a learner must master before it.

This repository provides a native MOSS-Image plugin for ComfyUI.

Hy Memory (Official Website) is a production-grade dual-system cognitive memory engine and Python SDK (hy-memory) for self-evolving LLM agents, providing specialized memory pipelines across three task scenes: hierarchical long-term cognitive memory for Chat, two-layer fact and…

nature-academic-search 的 MCP 服务还需要单独配置 PUBMEDEMAIL，Scopus / ScienceDirect 等可选 provider 需要使用本机凭据配置，不要把 API key 写入仓库文件。

一个基于 283 万字语料统计的去 AI 味 skill · An AI-tone removal skill grounded in a 2.83-million-character corpus study

从0开始，掌握做科研、写论文的基本流程。

2 is a state-of-the-art large 3D generative model (4B parameters) designed for high-fidelity image-to-3D generation.

将博导十年科研经验炼化为可直接调用的 AI 技能。从 Idea 构思到论文投稿，你的 AI 科研副导师。

The raw source assets are available on the Hugging Face Hub (collected under UniMate): Mixamo-Animations-Characters, Objaverse-XL-Rigged-Animated and Truebones-ZOO-Annotations (prompts, metadata and renders only).

ASPIRE is a new type of continual learning: "training" is skill refinement instead of gradient descent.

30u30 is an open-source study guide that takes you through the 30 foundational AI papers recommended by Ilya Sutskever — one paper per day. Each paper comes with a full implementation from scratch, detailed notes, interactive exercises with solutions, and visualizations.

[Neruips 2026] We built an adversarial codespace setup. Place any AI agent into a normal workflow inside it, and the agent will fill in whatever is missing.

本人的科研经验

I implemented a transformer model from scratch using PyTorch, based on the paper Attention is All You Need. You can use my scripts to train your own billion or million parameter LLM using a single GPU.

As part of model development, we evaluate our models on open research problems. We expanded these evaluations after performance on our existing mathematical evaluations saturated. Some outputs build upon earlier results produced by the models.

> Hi everyone! The original version of PaperBanana is already open-sourced under Google-Research as PaperVizAgent.

Official implementation of “UniForge3D: Joint 3D Reconstruction and Generation in a Shared Anchor-Guided Space.”

ARS-Codex is the Codex-native sibling of Academic Research Skills (ARS) for Claude Code. It is a separate Codex distribution with its own plugin identity, packaging, versioning, and runtime adapter.

Poke the DRAM controller and an address can be made to land wherever you want in memory. skitter-creek-bath-salts modifies the bottom layers of the memory hierarchy to rewire the physical DRAM address translations.

《动手学大模型Dive into LLMs》系列编程实践教程

Recursive Self-Improvement (RSI) refers to processes in which AI systems improve their own capabilities and can also improve the mechanisms that generate subsequent improvements.

A curated list of amazingly awesome open source intelligence tools and resources. Open-source intelligence (OSINT) is intelligence collected from publicly available sources.

There are a lot of hidden treasures lying within university pages scattered across the internet. e. assignments, lectures, notes, readings and examinations, available online for free.

The open-source AI research workbench for scientific research and agent workflows. Local-first, model-agnostic desktop app with extensible skills, MCP tools and connectors, Python/R execution and traceable artifacts for reproducible research on macOS, Windows and Linux.

Agentic Scientist treats coding agents as AI scientists. md, the agents propose ideas, run experiments, evaluate outcomes against the task rubric, and iterate toward stronger programs.

A hierarchical memory framework for personalized presentation agents. com.

本仓库包含三个面向学术科研人员的Skills，覆盖从文献阅读、论文写作到科学计算的完整研究工作流。office-academic-skill 负责论文阅读报告与学术 PPT/Word 文档生成；research-writing-skill 提供论文写作、润色与审稿回复辅助；scientific-toolkit-skill 整合 MATLAB/Python 科学计算与期刊级图表生成。三个 Skill 专为中文科研用户设计，可在 Claude Code 和 codex 中一键调用。

PyTorch implementation of VisionHOPE, a visual backbone based on self-referential nested learning (SRNL).

> Important Attribution > Most writing knowledge and methodology in this repository comes from Prof. Peng Sida (彭思达)'s open study notes: > > Prof. Peng's original repository: > > I sincerely thank Prof.