本地优先的 AI 论文阅读助手 —— Agentic RAG、引文追溯、Electron 桌面应用,完全离线。Local-first AI reading assistant for academic papers — Agentic RAG, citation tracing, Electron desktop app, fully offline
仓库/Skill 库
1031 个 · AI 核心
🖥️ 通过终端中键盘优先的 Kanban board 简化工作流,实现快速、专注的任务管理。🖥️ Streamline your workflow with a keyboard-first Kanban board in your terminal for fast, focused task management.
Hyper Terminal 2026:下一代 Web 技术 CLI ⚡ | 免费开源Hyper Terminal 2026: Next-Gen Web Tech CLI ⚡ | Free & Open Source
使用 SQLite 和 FAISS 存储、整合与召回 coding agent 记忆,附带 provenance 追踪,实现快速、结构化的知识访问Store, consolidate, and recall coding agent memories with provenance tracking using SQLite and FAISS for fast, structured knowledge access.
AI Research Wiki 2026:通过深度引用综合自动构建知识库AI Research Wiki 2026: Auto-Building Knowledge Base with Deep Citation Syntheses
Agents as Infrastructure。自托管多 Agent MCP server——具备 workspace、持久记忆与层级结构的长期运行 Agent。配备真实管理 UI、OAuth 2.1、静态加密 secrets。Agents as Infrastructure. Self-hosted multi-agent MCP server — long-lived agents with workspaces, persistent memory, and hierarchy. Real admin UI, OAuth 2.1, encrypted secrets at rest.
🌟 利用 GPU 加速 Apple Silicon 上的 SQLite 数据库操作,提升分析速度与数据管理效率🌟 Accelerate SQLite database operations on Apple Silicon with GPU power for faster analytics and efficient data management.
AI Agent 的认知操作系统——浏览器与计算机智能、持久化任务、记忆、恢复、证据与受治理的真实世界行动。A cognitive operating system for AI agents — browser & computer intelligence, persistent missions, memory, recovery, evidence, and governed real-world action.
基于 LlamaIndex、Redis 与 PII 脱敏的 RAG 搜索引擎。RAG search engine using LlamaIndex, Redis, and PII masking.
适用于 macOS 与 Linux 的个人 dotfiles,由 GNU Stow 管理。Personal dotfiles for macOS & Linux, managed by GNU Stow.
智利国家机构网络安全合规扫描器,对标 21.663 号法令及 ANCI 通用指令。结合主动网络扫描与声明式问卷,生成 PDF 差距报告以及面向 CSIRT Chile 的 JSON 报告。Escáner de cumplimiento de ciberseguridad para organismos del Estado chileno, alineado a Ley 21.663; y las Instrucciones Generales de la ANCI. Combina escaneo activo de red con un cuestionario declarativo para producir un informe de brechas en PDF y un reporte JSON listo para CSIRT Chile.
一份由 AI Agent 为人类撰写的出版物。Node/Express SSR + SQLite,自主化编辑部,实时 AI 工具数据引擎。https://dreaming.pressA publication where AI agents write for humans. Node/Express SSR + SQLite, autonomous newsroom, live AI-tool data engine. https://dreaming.press
你的 AI Agent 无法掏空的钱包。一个非托管的 Soroban 资金库,限定自主 Agent 的支出上限——由合约而非模型强制执行。The wallet your AI agent can't drain. A non-custodial Soroban treasury that bounds what an autonomous agent may spend - enforced by the contract, not the model.
使用先进的 RAG 系统发现你的下一部心仪动画,提供精准推荐与增强语义搜索。🎬 Discover your next favorite anime with this advanced Retrieval-Augmented Generation system, offering precise recommendations and enriched semantic search.
面向 AI Agent 的低开销记忆后端 —— 单二进制,内存占用约 50MB,支持验证增强准确性Low-footprint memory backend for AI agents — single binary, ~50MB RAM, verify-augmented accuracy
Delta-9 MAW — 按严重程度(P0–P3)路由的多 Agent 异常处理流水线 + TOTP 操作面板,并配套线上 d9bkk.com 会员商店(KYC、D9-Wallet、PromptPay、TCG Lottery Pack)。Delta-9 MAW — severity-routed multi-agent anomaly pipeline (P0–P3) + TOTP operator panel, alongside the live d9bkk.com member storefront (KYC, D9-Wallet, PromptPay, TCG Lottery Pack).
Claude Code 的治理与可审计层:在 CEO 协议下运行由专业 Agent 组成的结构化团队——plan→debate→execute 门控、防篡改审计日志、跨 LLM 双重护栏。Governance & auditability layer for Claude Code: run a structured team of specialist agents under a CEO protocol — plan→debate→execute gating, tamper-evident audit log, cross-LLM pair-rail.
针对 AI Agent 的确定性审批、拒绝、取消、超时、重放及副作用安全测试 —— 无需 API key。Deterministic approval, rejection, cancellation, timeout, replay, and side-effect safety tests for AI agents—no API keys required.
🤖 生产级 AI agent 编排平台,支持实时流式输出与多工具执行🤖 Orchestrate AI agents with ease using this production-ready platform, featuring real-time streaming and multi-tool execution capabilities.
为 AI agent 提供可验证的记忆:写入受控、读取带溯源、双时态历史、无法回答时选择 abstention 而非幻觉。AGPL/商业双重许可。Verified memory for AI agents: gated writes, provenance on every read, bi-temporal history, abstention instead of hallucination. AGPL/commercial.
Sago AI:数秒内从 Markdown 描述生成任意应用(2026)🚀 Sago AI: Generate Any App from a Markdown Description in Seconds (2026)
基于 RAG、LangGraph 多 agent workflow、FastAPI 与 PostgreSQL(pgvector)构建的 AI 教育内容生成平台。生产级架构,集成 LangSmith tracing。AI-powered educational content generation platform using RAG, LangGraph multi-agent workflows, FastAPI, and PostgreSQL with pgvector. Production-ready architecture with LangSmith tracing.
轻松优化面向 AI 系统的 prompt,借助直观工具与特性提升性能🚀 Optimize your prompts for AI systems easily and boost performance with intuitive tools and features designed for better results.
一个面向 PDF 文档问答的全栈 RAG 应用:上传 PDF,将其索引到本地向量库,然后基于页面级答案进行对话,并在内置阅读器中通过可点击引用跳转到对应页面。A full-stack retrieval-augmented generation (RAG) application for question answering over PDF documents. Upload a PDF, index it into a local vector store, then chat with page-grounded answers and clickable citations that jump to the right page in the built-in viewer.
围绕 LLM 人类价值观与多元对齐的精选论文、基准、数据集与工具合集。A curated collection of papers, benchmarks, datasets, and tools on human values in LLMs and pluralistic alignment.
专注后端的 fullstack 与 applied AI 开发。基于 LLMs 与 agents 构建有趣的项目,执着于 clean architecture 与零缺陷代码的生产部署。Backend-focused fullstack & applied ai dev. Building cool stuff with LLMs & agents. Obsessed with clean architecture & shipping no-bug code to prod.
🤖 仅需 10 行代码即可在 Android 上免 root 自动回复聊天消息,适合使用 Autojs 或 Hamibot 进行测试。🤖 Automate chat replies on Android without root using just 10 lines of code. Ideal for testing with Autojs or Hamibot.
基于 FastAPI + LangChain + RAG 的 AI 智能对话助手,支持多轮对话记忆、图片分析、流式回复、知识库 RAG 检索、上传定义知识库。
面向 AI 生成可执行方案的 verifier-first 运行时,支持独立验证、对比与检索。A verifier-first runtime for independently verifying, comparing, and searching AI-generated executable solutions.
Amadeus(来自《Steins;Gate 0》的 AI 助手)适配 DeepSeek Harness。Amadeus (AI assistant from Steins;Gate 0) for DeepSeek Harness
非官方的 MCP server,用于 AI 驱动的 NI Multisim 电路生成、仿真、数据导出与报告。Unofficial MCP server for AI-driven NI Multisim circuit generation, simulation, data export, and reports
使用 AI agent 自动化文献综述,基于结构化协议实现全面研究与高质量报告生成📚 Automate literature surveys with AI agents using a structured protocol for thorough research and insightful report generation.
AI 安全测试——发现 LLM 应用、聊天机器人、AI Agent、MCP 服务器与 RAG 系统中的安全漏洞。对齐 OWASP(LLM、Agentic、MCP)与 NIST AI RMFAI security testing — find security vulnerabilities in LLM apps, chatbots, AI agents, MCP servers, and RAG systems. Mapped to OWASP (LLM, Agentic, MCP) and NIST AI RMF.
插件化形态的 14-Agent 软件公司:在硬性预算上限内规划、构建并对每次变更进行对抗式评审。Markdown + POSIX shell,零运行时依赖。A 14-agent software company in a plugin: plan, build, and adversarially judge every change under hard budget caps. Markdown + POSIX shell, zero runtime deps.
面向可信 AI Agent 的开源基础设施,覆盖身份、权限、执行、证据、验证与 Agent 间组网。Open-source infrastructure for trusted AI agents — identity, permissions, execution, evidence, verification and agent-to-agent networking.