面向长生命周期 Agent 与有状态负载的会话中心计算:暂停即保留记忆,按需恢复。Session-centric compute for long-lived agents and stateful workloads. Pause with memory intact; resume on demand.
仓库/Skill 库
3136 个
面向有据可循的 Agent 工作流的 TypeScript 参考实现,支持混合检索、人工审核与可回放的审计追踪。TypeScript reference implementation for grounded agent workflows with hybrid retrieval, human review, and replayable audit trails.
NLP 案例研究NLP Case Study
可验证混合 AI 执行的合约层 —— 研究预标准 0.36.0。A contract layer for verifiable hybrid AI execution — research pre-standard 0.36.0
Persian IEEE LaTeX 文章模板,集成 GitHub Actions CI/CD。Persian IEEE LaTeX article template with GitHub Actions CI/CD.
多阶段现代控制项目:非等温 CSTR 反应器的建模、分析与控制Multi-phase modern control project: modelling, analysis, and control of a non-isothermal CSTR reactor.
面向 GitHub Copilot 的 Agentic 开发生命周期——计划、工作、证据与教训全部沉淀在 GitHub 上,而非聊天窗口中。Agentic development lifecycle for GitHub Copilot — the plan, the work, the evidence, and the lessons all live on GitHub, not in chat windows.
开源、本地优先的足球数据、分析与内容工作流。Open-source, local-first football data, analysis, and content workflow.
精选 LaTeX 实验报告,展示实验分析与科学写作。Selected LaTeX laboratory reports demonstrating experimental analysis and scientific writing
为 LLM Agent 提供探索与调用任意 OpenAPI/Swagger/Postman API 能力的 MCP server,支持搜索、检查与调用。MCP server that gives LLM agents superpowers to explore and call any OpenAPI/Swagger/Postman API — search, inspect, invoke.
Astro 静态站点,英意双语,安全设计(security-by-design),AI 辅助的月度 RAG 杂志。部署于 Cloudflare。Astro (static), bilingual EN/IT, security-by-design, AI-assisted monthly RAG magazine. Deployed on Cloudflare.
驾驶 Claude Code Agent 的驾驶舱——打磨「指示→等待→审查→再指示」循环的桌面 Cockpit(非官方)。A cockpit for piloting Claude Code agents — 指示→待機→レビュー→再指示のループを磨くデスクトップコックピット (unofficial)
探索高达 400B 参数的先进稀疏 Mixture-of-Experts 模型,采用创新训练技术实现卓越性能🚀 Explore advanced sparse Mixture-of-Experts models with up to 400B parameters, featuring innovative training techniques for superior performance.
综述基于性状的方法以量化农业对土壤无脊椎动物影响的研究A systematic review of trait-based approaches to quantify agricultural impacts on soil invertebrates
为 Claude 提供跨会话持久记忆——将 TriliumNext 转化为持久化、图结构化第二大脑的 MCP server。MIT 许可。Give Claude a memory that survives the conversation - an MCP server that turns TriliumNext into a persistent, graph-structured second brain. MIT.
MAI-Code 模型的官方仓库,用于发布 MAI-Code 模型版本与更新,并通过 issue 与反馈与开发者社区互动。Official repo for MAI-Code models, where we publish MAI-Code model releases and updates and engage with developer community on issues and feedback.
Microwave Method:agent 工厂 + 受治理的 LLM wiki。每个 agent 一次性重型处理,每个 feature 轻量处理。上下文只"烹饪"一次,按缓存价"回热"。Microwave Method: agent factory + governed LLM wiki. Heavy pass once per agent, light pass per feature. Context is cooked once, reheated at cache price.
使用纯 C 从零构建 LLM 推理引擎,不依赖任何框架。Build an LLM inference engine from scratch in pure C with no frameworks.
开源 Python 平台,用于粗糙随机波动率的模拟、定价与统计分析。索尔福德大学独立研究项目。Open-source Python platform for simulation, pricing, and statistical analysis of rough stochastic volatility. Independent research programme, University of Salford
Claude Code 动态工作流的指挥中心 — 实时 agent 可观测性、跨项目运行历史、保存与重放。零依赖的 Claude Code 插件。Mission control for Claude Code dynamic workflows — live agent observability, cross-project run history, save & re-run. A zero-dependency Claude Code plugin.
面向 Microsoft Word 的 AI 驱动学术校对工具,支持修订痕迹、审稿意见与写作润色,兼容 macOS 与 Windows。AI-powered academic proofreading for Microsoft Word — tracked changes, reviewer comments, and writing polish on macOS & Windows.
Virastar — 面向生产环境的 Agent Skill,用于波斯语学术写作、校对与论文编辑,支持波斯语正字法、学术风格、术语一致性、XePersian/LaTeX 以及证据感知科学编辑Virastar — A production-oriented agent skill for Persian academic writing, proofreading, and thesis editing, with support for Persian orthography, academic style, terminology consistency, XePersian/LaTeX, and evidence-aware scientific editing.
Portable Agent Plugins 1.0 skill,支持 STAR 简历撰写、指标推断、XeLaTeX/PDF 排版、视觉 QA 与面试准备。Portable Agent Plugins 1.0 skill for STAR resume writing, metric inference, XeLaTeX/PDF typesetting, visual QA, and interview preparation.
对 LLM 文献筛选方法的受控双研究对比——RAG 与 zero-shot、自适应与被动选文——并以真实系统综述的真值标注进行评估。Controlled two-study comparison of LLM-based literature screening methods — RAG vs. zero-shot, and adaptive vs. passive paper selection — evaluated against real systematic review ground truth.
本文件夹包含一系列研究问题及用于回答这些问题的 Python 实验。This folder contains a series of research questions and Python experiments designed to answer those questions.
一个用于自动化文献综述、论文摘要和引文映射的多 Agent AI 系统。A multi-agent AI system for automated literature review ,paper summarization, and citation mapping.
涵盖 RAG、AI Agent、评估与商业智能的实战 AI 应用项目集。Practical AI application projects across RAG, AI agents, evaluation, and business intelligence.
一个基于 Web 的标注平台,用于手工标注与公共空间相关的 STOMP 文章。该应用支持人工标注员对文章进行分类、回答结构化研究问题,并导出标注结果以用于计算社会科学研究。A web-based annotation platform for manually labeling STOMP articles related to common spaces. The application enables human annotators to classify articles, answer structured research questions and export annotations for computational social science research.
借助这款自托管、本地优先的应用,跨多个账户与多种货币追踪收入和支出。Track income and expenses across multiple accounts and currencies with this self-hosted, local-first application.