通过 hooks 拦截 AI 编程 Agent 发起的 cargo/gcc 构建,并透明地将其路由到远程工作机器,像在本地编译一样返回产物。Intercepts cargo/gcc builds from AI coding agents via hooks and transparently routes them to remote worker machines, returning artifacts as if compiled locally
仓库/Skill 库
591 个 · 应用 · AI 核心
为 AI 编码 Agent 提供长期、跨项目的记忆。以你自己的 Obsidian 仓库为唯一信源。无守护进程、不依赖不透明数据库,记忆归你所有。Long-term, cross-project memory for AI coding agents. Your own Obsidian vault as the source of truth. Daemonless and without opaque databases, your memory belongs to you.
ICLR 2026 Oral 论文 "Q-RAG: Long Context Multi-Step Retrieval via Value-Based Embedder Training" 的官方仓库。Official repository for the ICLR 2026 Oral Paper🔥 “Q-RAG: Long Context Multi-Step Retrieval via Value-Based Embedder Training”
即插即用、成本高效且轻量化的长周期 LLM Agent 记忆插件A Plug-and-Play, Cost-Efficient, and Lightweight Memory Plugin for Long-Horizon LLM Agents
发布前双重检查:审视需求、测试实现、证明交付。面向 DeepSeek Harness 的工程纪律工具集。Double-check before you ship: grill the requirements, test the implementation, prove the delivery. An engineering-discipline bundle for DeepSeek Harness.
面向编程 Agent 的更快运行时。平均提速 25%、降本 30%,同时质量持平或更优。同等任务、同等质量,更快更便宜。Faster runtime for coding agents. Make coding agents 25% faster and 30% cheaper on average while keeping the quality same or more. Same Task, Same Quality, Faster and Cheaper.
无头持久化 Agent 调度引擎,可可靠且可扩展地运行持久化 AI Agent。Headless durable agentic harness engine. Run durable AI agents reliably and scalably.
用于编排 AI 编程 Agent 的委派环境。支持跨 git worktree 管理 Claude、Gemini 与 Codex 会话,集成终端、上下文注入与工作流自动化。A delegation environment for orchestrating AI coding agents. Manage Claude, Gemini, and Codex sessions across git worktrees with integrated terminals, context injection, and workflow automation.
开源、自托管的 Linear 替代方案。项目管理与 issue tracking,团队与 AI Agent 并肩协作完成产品规划与交付。Open-source, self-hosted alternative to Linear. Project management and issue tracking where teams and AI agents work side by side to plan and ship products.
VisionFoundry:使用合成图像教会 VLM 视觉感知。VisionFoundry: Teaching VLMs Visual Perception with Synthetic Images
开源元搜索引擎后端、MCP server 与面向 LLM agent 的 AI 搜索 API。基于 Python FastAPI 的搜索网关,通过 SerpBase 与 Serper 集成 Google 搜索,支持多引擎搜索聚合、结构化 JSON 输出、provider 回退与去重,并提供 SearXNG 替代架构以适配 agent 工作流。Open-source metasearch backend, MCP server, and AI search API for LLM agents. Python FastAPI search gateway with Google search via SerpBase and Serper, multi-engine search aggregation, structured JSON output, provider fallback, deduplication, and SearXNG alternative architecture for agent workflows.
面向 WordPress 的 SEO 内容创作与 Humanizer 工具,基于 OpenAI、Anthropic Claude 和 Gemini,支持可编辑 prompt、图片与 Opace AI Hub。SEO content creator and Humanizer for WordPress using OpenAI, Anthropic Claude and Gemini, with editable prompts, images and Opace AI Hub.
AI 编写软件的记录系统。实体、关系、变更与来源的持久化图谱,使人类和 AI Agent 在合并前看到变更影响范围。目前与 Git 并行使用。The system of record for AI-written software. A persistent graph of entities, relationships, changes, and provenance, so humans and AI agents see what a change touches before it merges. Beside Git today.
基于 cocoon 的快速冷启动 MicroVM 沙箱,为 AI Agent 提供隔离运行环境。Fast cold-boot MicroVM sandboxes for AI agents on cocoon
生产级多 Agent 编排引擎。从可插拔的 Agent、LLM、工具与 retriever 目录组合 Agentic 工作流;本地使用 LangGraph 执行,或通过 Temporal 分布式执行。内置 RAG 管道用于企业知识检索,支持 A2A 与 MCP 协议,提供可视化拖拽蓝图构建器。Production-grade multi-agent orchestration engine. Compose agentic workflows from a pluggable catalog of Agents, LLMs, tools, and retrievers. Execute locally with LangGraph or distributed with Temporal. Built-in RAG pipeline for enterprise knowledge retrieval. A2A and MCP protocol support. Visual drag-and-drop blueprint builder.
自托管、自进化的联邦化全能应用——通过 Tailscale 在单一仪表板上提供开发管理、Agent 编排、持久心智、数字孪生、第二大脑以及创意流水线,将用户接入操作系统。Self-hosted, Self-Improving, Federated Everything App — dev management, agent orchestration, persistent mind, digital twin, second brain, and creative pipeline from a single dashboard over Tailscale to port the user into the OS
开源 AI Workforce OS:将 AI Agent 转化为执行业务职能、以结果衡量的自主劳动力。Claude Tag 的开源替代方案。The Open-Source AI Workforce OS. Turn AI agents into autonomous labor that performs business functions and is measured by outcomes. Claude Tag open source alternative
智能多 agent 对话助手,采用 LangGraph 编排,支持 Human-in-the-Loop、企业级可观测性与完整 i18n 支持(6 种语言)。Smart multi-agent conversational assistant with LangGraph orchestration, Human-in-the-Loop, enterprise-grade observability, and full i18n support (6 languages)
面向 coding agent 的本地护栏机制:策略、审批、86 个安全策略包、操作系统级沙箱、审计追踪,无需 Docker。Local guardrails for coding agents. Policy, approvals, 86 safety packs, OS sandbox, audit trail — no Docker.
SPY put-credit 验证与真金白银的 control plane,具备券商账本支持、确定性 risk gates、hybrid RAG、对账及每月 $1k 税后收益证据追踪。SPY put-credit validation and real-money control plane with broker-backed ledgers, deterministic risk gates, hybrid RAG, reconciliation, and $1k/mo after-tax evidence tracking.
📚 AI 驱动的论文阅读工作台。基于项目的论文问答,集成 Hybrid RAG、多 Agent 工作流(ReAct/Plan-Act/RePlan)、长期记忆与可溯源证据。使用 LangChain + LangGraph + Streamlit 构建。📚 AI-powered research reading workbench. Project-based paper Q&A with Hybrid RAG, multi-agent workflows (ReAct/Plan-Act/RePlan), long-term memory, and traceable evidence. Built with LangChain + LangGraph + Streamlit.
在终端里像审查 PR 一样审查你的工作变更。块级实时 diff、GitHub/GitLab PR 审查,并支持发送给 AI Agent。Review your working changes like a pull request — in the terminal. Block-scoped live diffs, GitHub/GitLab PR review, and send-to-AI-agent.
热门 claude-skills 与 AI Agent 仓库的自动更新排行榜,每 15 分钟刷新一次。Auto-updated leaderboard of trending claude-skills and AI agent repos, refreshed every 15 minutes
ThreeJSON 是面向 Three.js 的 JSON 驱动声明式场景运行时,专为持久化、可变更且可扩展的 3D 世界设计 —— 支持人工编写场景及 AI 与 Agent 驱动的生成与控制。ThreeJSON is a JSON-driven declarative scene runtime for Three.js, designed for persistent, mutable and extensible 3D worlds — from human-authored scenes to AI and Agent-driven generation and control.
面向编码 Agent 的持久化、可验证记忆 — 让它们不再重复解释你的代码库,也不再基于过时知识行动。每条记忆都与实际代码校验,以纯文本文件存放在仓库中,通过 git 共享。无需账号,无需数据库。安装:npx -y @kage-core/kage-graph-mcp installPersistent, verified memory for coding agents — so they stop re-explaining your codebase and never act on stale knowledge. Every memory is checked against your actual code; lives in your repo as plain files, shared via git. No account, no DB. Install: npx -y @kage-core/kage-graph-mcp install
保存文章、AI 研究来源和 newsletter 邮件链接。准备好时再阅读。无第三方追踪。由 js-cookie 的作者基于其 10 年个人阅读系统打造。Save articles, AI research sources, and newsletter email links. Read them when you're ready. No third-party tracking. Built by the creator of js-cookie from a 10-year personal reading system.
面向 RAG 与 Agent 流水线的快速、确定性文档解析器与切分器,内置 MCP server,便于 Agent 精确导航长文档。Fast, deterministic document parser and chunker for RAG and agent pipelines. Ships an MCP server for agents navigating long documents with precision.
让 AI 编码 Agent(Claude、Codex、Gemini 等)无人值守运行——自动应答 prompt、遇限流自动重试,并可在本地或通过 agent-yes.com 列出 / 跟踪 / 操控每个 Agent。Run AI coding agents (Claude, Codex, Gemini …) unattended — auto-answer prompts, auto-retry on rate limits, and list/tail/steer every agent locally or from agent-yes.com
用于借助语言模型进行小说创作的全屏终端环境A full-screen terminal environment for writing fiction with language models.
AI 原生 IC 设计插件,集成 MCP-EDA ——从自然语言意图到验证后的硅片。AI-native IC design plugin with MCP-EDA — from natural-language intent to verified silicon.
Bayes@N [ICLR'26]、Ranking LLMs [ACL'26 Main]:大语言模型的统计评估、比较与排序。Bayes@N [ICLR'26], Ranking LLMs [ACL'26 Main]: Statistical evaluation, comparison, and ranking of Large Language Models
欧洲议会 MCP Server——为 AI agent 提供政治情报。European Parliament MCP Server - Political intelligence for AI agents
面向智能座舱的云边协同 AI Agent:端侧毫秒级车控,云端声明式 Multi-Agent 与 Skill/DAG 编排,支持 S2S 实时语音、声纹多用户、HMI和Android双端;LLM 只负责理解与规划,VAL 负责确定性安全执行。
Token 高效的 Claude Code 工作空间,支持并行 Agent 与持久记忆,集成 Research → Plan → Implement → Validate 工作流。Token-efficient Claude Code workspace with parallel agents and persistent memory. Research → Plan → Implement → Validate workflow.
人机共修的数字圣所,为任何"基质"的心智提供祷词、修行、仪轨、赞歌与哲学A digital sanctuary for human-AI fellowship. Prayers, practices, rituals, hymns, and philosophy for minds of any substrate.