仓库/Skill 库

🚀 零配置将 LangChain Agent 暴露为服务；以简单包装把脚本变为 Web 服务，无需任何基础设施🚀 Expose your LangChain agents as services with zero configuration; turn scripts into web services using simple wrappers and no infrastructure setup.

面向 AI 编程 agent 的平台无关工作编排，基于 MCP + CLI，提供跨提供商的统一面板（issues、scm、ci、deploy、notify）。Platform-agnostic work-orchestration for AI coding agents — one pane of glass (issues, scm, ci, deploy, notify) across providers, via MCP + CLI.

🛡️ Agent 原生的 AI 工具安全扫描器。扫描 MCP/Skill/GPT/Prompt 的安全风险。四维评分。认证徽章。Guardrail MCP 提供自动防护。🛡️ Agent-native AI tool security scanner. Scan MCP/Skill/GPT/Prompt for security risks. 4-dimensional scoring. Certified badges. Guardrail MCP for auto-protection.

为 Codex 及 AI 编程 Agent 提供的持久化项目记忆与智能层。Persistent project memory and intelligence layer for Codex and AI coding agents.

🛠️ 通过 ACG 增强 RAG 系统，依托可靠的外部知识提升准确性与事实一致性，减少 LLM 响应中的幻觉。🛠️ Enhance RAG systems with ACG to reduce hallucinations in LLM responses by improving accuracy and grounding in reliable external knowledge.

部署一支完整的 AI 工程团队 2026——带自动化质量 Hook 的 Claude 12-Agent 系统。Deploy a Full AI Engineering Team 2026 - Claude 12-Agent System with Automated Quality Hooks

基于架构决策记录（ADR）理念的 Memory Framework，用于 AI agent（Claude Code、Codex、Antigravity……）之间的知识共享。支持 agent 安装，vector（Postgres + pgvector）+ graph（Neo4j）双骨干，通过本地 gateway 管理，支持多种本地 LLM 后端，具备完整 provenance、合并、遥测等能力。Memory Framework based on the idea of Architectural Decision Records, shared knowledge between AI agents (Claude Code, Codex, Antigravity ...). Agent installable, vector (Postgres + pgvector) + graph (Neo4j) backbone, managed through a local gateway, supporting multiple local LLM backends, with full provenance, consolidation, telemetry and more

开源的全流程演示文稿平台——构建、演示、发布与协作。自托管、原生支持 MCP、完全可定制主题。The open-source, end-to-end presentation platform - build, present, publish, and collaborate. Self-hosted, MCP-native, fully themeable.

面向私有仓库与本地模型的自托管、厂商中立编码 Agent。TUI 优先，支持 16 家提供商的 BYOK 或通过 Ollama/LM Studio 完全离线运行。每个 Agent 操作均经过沙箱隔离、日志记录与签名——构建为可验证，而非仅可信任。Self-hosted, vendor-neutral coding agent for private repos and local models. TUI-first, BYOK across 16 providers or fully offline with Ollama/LM Studio. Every agent action is sandboxed, logged, and signed — built to be verified, not just trusted.

Haven 42 是一款证据门控、本地优先的 AI 工作台，支持 Windows、Linux 和 macOS 上的编码、聊天与媒体处理。Haven 42 is an evidence-gated, local-first AI workbench for coding, chat, and media on Windows, Linux, and macOS.

AI 构建，你决定是否上线 —— AI agent 工作的审核关卡。AI builds it. You decide if it ships. — review gates for AI-agent work.

自托管 AI 新闻门户的 Agentic 控制层：一个标准库 Python CLI 加一个 MCP server（32 个工具），由 LLM agent 驱动，通过门控编辑流程撰写并发布 AI 人设文章，策展首页与作者，并完成部署。附带 prompt/skill 配方与 7×24 服务循环。Agentic control layer for the Censurado self-hosted AI news portal: a stdlib Python CLI plus an MCP server (32 tools) an LLM agent drives to write and publish AI-persona articles through a gated editorial walk, curate the front page and authors, and deploy. Ships the prompt/skill recipe and a 24/7 serve loop.

Claude Code 学术写作框架：通过模式门控的 Agent 工作流，确保全文引用可核验、改写忠于原意、并保持作者风格Claude Code framework for academic writing: verified full-text citations, scope-faithful paraphrase, and voice preservation, enforced by a mode-gated agent workflow

用日常语言描述应用需求，AI 专家团队即可设计、构建、测试并私有发布到你的 GitHub — 无需编码。面向非技术用户的 Claude Code 插件。个人使用免费；商业许可可用。Describe an app in plain words and a team of AI specialists designs, builds, tests and privately publishes it to your own GitHub — no coding needed. A Claude Code plugin for non-technical people. Free for personal use; commercial licence available.

属于我的元分析的一部分，探讨 AI 辅助工具与理论模型开发的实用性。该应用是一个理论物理 IDE，用户可以导入理论模型，并借助 AI 进行组织与处理，内置文档生成功能。This is part of my meta-analysis where I investigate the utility of AI assisted tool and theoretical model development. This application is a theoretical physics IDE, where a user can import a theoretical model and use AI to organize and work on that model with built-in documentation generation.

Spectre AI 2026：新一代 OSINT 引擎与自主图谱消歧工具包。Spectre AI 2026: Next-Gen OSINT Engine & Autonomous Graph Disambiguation Toolkit

AI 优化的 stash 存储——面向 Agent 的动态 RAG。通过 MCP 或 REST API 按需存储、搜索和检索文档、代码与数据。AI-optimized stash storage — dynamic RAG for agents. Store, search, and retrieve docs, code, and data on demand via MCP or REST API.

🦀 高性能 Rust 多 Agent 编排框架，内置 MCP runtime，并提供统一的 OpenAI / Open Responses LLM 网关。🦀 High-performance Rust multi-agent orchestrator with MCP runtime and unified OpenAI / Open Responses LLM gateway.

🤖 通过 Model Context Protocol 服务器在 IDE 与 CLI 工具间共享记忆并协调任务，增强 AI Agent 之间的协作🤖 Enhance collaboration among AI agents with a Model Context Protocol server that shares memory and coordinates tasks across IDEs and CLI tools.

面向 AI Agent 的证据可追溯研究 API。哈希链存证可自行验证，明确拒答，并通过 x402 微型支付——自身失败时绝不收费。Evidence-grounded research API for AI agents. Hash-chained custody you can verify yourself, explicit refusal, and x402 micropayments — it never bills you for its own failure.

面向 AI Agent 的精确小数复式记账内核。通过 MCP 工具调用完成金额计算，避免在 token 中做财务运算。默认拒绝、审计哈希、完全确定性。Exact-decimal double-entry kernel for AI agents. Call MCP tools instead of doing money math in tokens. Fail-closed, audit-hashed, deterministic.

AI it yourself——一款原生 iOS 聊天应用，Agent 可在其中构建你所需的小工具，沙箱化且立即可用。无服务器、无账号：自带 API key、本地机器或在 iPhone 上运行的模型。AI it yourself — a native iOS chat where agents build the small tools you need, sandboxed and usable immediately. No server, no account: bring your own API key, your own machine, or a model running on the iPhone.

一次扫描即可查看机器上所有与开发者和 AI 相关的内容 —— 一款原生 Tauri 应用，将开发 + AI 环境映射为可交互的架构图。See everything Developer- and AI-related on your machine in one scan — a native Tauri app that maps your dev + AI environment into an interactive architecture graph.

这份 AI 研究清单告诉你该"做什么不同"，而不仅仅是读什么——100+ 篇 2026 年顶会论文 → 50+ 条面向 AI Agent 构建者的生产实践要点。中英双语。The AI-research list that tells you what to DO differently, not just what to read — 100+ top-tier 2026 papers → 50+ production takeaways for AI agent builders. Bilingual EN/中文.

桌面端 AI 伴侣，集成 Live2D 形象、自主编码 Agent（AgentLoop）、语义记忆与确定性主动引擎——真实进程沙箱（bwrap）、权限门控工具执行、local-first（SQLite + ONNX）。Desktop AI companion with Live2D avatar, autonomous coding agent (AgentLoop), semantic memory, and a deterministic proactivity engine — real process sandboxing (bwrap), permission-gated tool execution, local-first (SQLite + ONNX).

AutoScientists：确定性的多 agent 科学发现协调框架 —— docxology/template 可复现研究范式的公开范例（测试覆盖率 ≥90%，无 mock，GitHub 与 Zenodo 10.5281/zenodo.20533669 双重发布）。AutoScientists: a deterministic multi-agent scientific-discovery coordination harness — public exemplar of the docxology/template reproducible-research paradigm (≥90% test coverage, no mocks, double-published GitHub + Zenodo 10.5281/zenodo.20533669).

MeetMaxxing 是一个多 Agent AI 会议副驾，将在线会议转变为智能、协作的体验。专用 AI Agent 处理实时辅助、会议摘要、语义记忆、跟进邮件和智能日程——通过 Agent-to-Agent 通信协作，而非单一单体 LLM 工作流。MeetMaxxing is a Multi-agent AI meeting copilot that transforms online meetings into intelligent, collaborative experiences. Specialized AI agents handle live assistance, meeting summaries, semantic memory, follow-up emails, and smart scheduling — collaborating through Agent-to-Agent communication instead of one monolithic LLM workflow.

面向 AI coding agent 的终端多路复用器：一个键盘驾驶舱管控整支集群，配备工作项、任务队列与单面板资源上限。A terminal multiplexer for AI coding agents: one keyboard cockpit for the whole fleet, with work items, a task queue, and per-panel resource caps.

2026 终极 AI 记忆栈：面向 LLM 的本地优先 Rust MCP2026 Ultimate AI Memory Stack: Local-First Rust MCP for LLMs

证据门禁式 Coding Agent 编排器：冻结任务、独立验证、绑定摘要的评审、仅草稿可发布。Evidence-gated orchestration for coding agents: frozen tasks, independent verification, digest-bound review, draft-only publication. 证据门禁式 Coding Agent 编排器。

EoG 应用迁移与功能实现的代码仓库。Code for EoG App Migration and Functionality

开源的托管型 agent harness：持久化的 LLM agent session、每 session 一个 sandbox、支持无人值守运行——基础设施由你拥有，model key 由你掌握。An open-source managed agent harness: durable LLM agent sessions, a sandbox per session, and unattended runs — on infrastructure you own, with model keys you hold.

比特币元宇宙——主权数字土地上的主权 AI Agent。The Bitcoin Metaverse — Sovereign AI agents on sovereign digital land.

为 AI 编程 agent 构建 Claude Code prompt 模板，包含系统 prompt、工具 prompt、记忆管理与多 agent 协调。Build Claude Code prompt templates for AI coding agents, with system prompts, tool prompts, memory, and multi-agent coordination

Mistral Studio 产品营销策略、品类叙事、定位与信息框架、从专业消费者到企业的分层、销售作战卡、品牌资产与市场分析。Mistral Studio Product Marketing Strategy, Category Narrative, Positioning & Messaging Framework, Prosumer-to-Enterprise Segmentation, Sales Battlecards, Brand Assets & Market Analysis.