仓库/Skill 库

🚀 通过 70 个生成式 AI 实战项目转型技能，从入门到生产级架构师，涵盖真实场景应用。🚀 Transform your skills with 70 hands-on projects in Generative AI, guiding you from beginner to production-ready architect with real-world applications.

🤖 基于 AI 分析与智能搜索，定制化发现 ArXiv 上你感兴趣的最新论文🤖 Discover the latest research papers on ArXiv tailored to your interests using AI-powered analysis and smart search features.

AI 驱动的初创公司情报 Agent——手写 ReAct 循环、并行工具执行、实时联网搜索以及 RAG 增强的文档分析。不依赖任何框架，具备完整理解能力。AI-powered startup intelligence agent — hand-built ReAct loop, parallel tool execution, live web search, and RAG-grounded document analysis. No frameworks. Full understanding.

本地优先、可审计的技术文档与源代码知识编译器。Local-first, auditable knowledge compiler for technical docs and source code

基于大语言模型的智能研发效能助手。深度解析需求文档，精准识别逻辑漏洞；多维度生成测试用例，提升用例设计效率；构建可复用的测试知识库，将个人经验转化为团队资产。赋能 QA ，实现质量保障智能化。

本地部署、MCP 原生的 AI Agent 记忆，适用于受监管场景：每次写入均落入 SHA-256 哈希链日志，审计员可离线验证，无需信任存储或厂商。Rust 实现，嵌入式，Apache-2.0。On-prem, MCP-native memory for AI agents in regulated settings: every write lands in a SHA-256 hash-chained log an auditor can verify offline, without trusting the store or the vendor. Rust, embedded, Apache-2.0.

🤖 使用 SurfSense 增强你的研究——一个可定制的 AI Agent，可连接多平台，实现更智能、高效的信息检索。🤖 Enhance your research with SurfSense, a customizable AI agent that connects to multiple platforms for smarter, effective information retrieval.

MedTrack 是基于 React 与 Spring Boot 构建的全栈医疗设备管理系统，通过基于角色的安全访问简化库存、维护与设备订购流程。MedTrack is a full-stack medical equipment management system built with React and Spring Boot. It streamlines inventory, maintenance, and equipment orders through secure role-based access.

免费、本地优先、按章节编排的 LLM、向量数据库、RAG 与 Agent 课程——从零到你的首个 AI agent。Free, local-first, chapter-wise curriculum for LLMs, Vector DBs, RAG & Agents — from zero to your first AI agent.

🔍 使用 DeepSearch 自动化数字足迹分析，借助高级 Google 搜索操作符高效收集多平台洞察。🔍 Automate digital footprint analysis with DeepSearch, using advanced Google search operators to gather insights from multiple platforms efficiently.

金融与生活交易学习 RAG 与 QuantConnect LEAN 回测工作流（FastAPI、Qdrant、pgvector、Docker）。금융·생활거래 학습 RAG와 QuantConnect LEAN 백테스트 워크플로우 (FastAPI, Qdrant, pgvector, Docker)

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.

2026 年顶级开源 AI Agent 🤖 | 最佳自主工具与框架Top Open-Source AI Agents 2026 🤖 | Best Autonomous Tools & Frameworks

opencode 的持久化记忆 MCP server：Redis 存储事实、ChromaDB 语义搜索、文档存储、幂律记忆衰减、agent 身份；内置官方 Claude.app OAuth，可使用 Claude Max 套餐且规避第三方检测；一键安装。Persistent memory MCP server for opencode — Redis facts, ChromaDB semantic search, document storage, power-law memory decay, agent identity. Plus first-party Claude.app OAuth: use your Claude Max plan without third-party detection. One-command install.

多模型协作与智能辩论平台 — Multi-Agent 并行工作流 + RAG + 知识图谱，让多个 AI 像专家团队一样辩论、推理、共创

🔬 基于 AI 与研究论文对话，通过高级语义搜索与 RAG（检索增强生成）技术提取洞见与摘要。🔬 Chat with research papers using AI, extracting insights and summaries through advanced semantic search and Retrieval-Augmented Generation techniques.

自托管 MCP server：通过 stdio 与 HTTP 提供 66 个工具。支持 workspace 隔离、keyed 鉴权，MIT 许可。Self-hosted MCP server: 66 tools over stdio and HTTP. Workspace confinement, keyed auth, MIT licensed.

自托管语义代码搜索。将代码仓库和知识源索引至本地向量数据库，然后通过 CLI 或任何 MCP 兼容 Agent 进行自然语言搜索。Self-hosted semantic code search. Index repos and knowledge sources into a local vector DB, then search by natural language from CLI or any MCP-compatible agent.

后端无关的 C# 库，用于构建有状态 AI 实体，具备按角色记忆、工具调用、情绪系统和自主 Agent 行为。Backend-agnostic C# library for building stateful AI entities with per-persona memory, tool access, mood systems, and autonomous agent behavior.

用于评估检索增强视觉语言模型在循证医学视觉问答中表现的研究框架Research framework evaluating retrieval-augmented vision-language models for evidence-grounded medical visual question answering.

支持从多源智能检索、筛选与总结科学论文，提升研究与报告生成效率Enable intelligent retrieval, filtering, and summarization of scientific papers from multiple sources for efficient research and report generation.

实时更新的向量数据库项目、集成和基准评测全景图——每……刷新。Live-updating landscape of vector database projects, integrations, and benchmarks — refreshed every

LOCAH.ai —— 基于 Wilfrid Laurier University 公开信息的助手。提供引用标注的回答、显式呈现的矛盾，以及 Laurier 信息在何处未能服务学生的证据。LOCAH.ai — an assistant over Wilfrid Laurier University's public information. Cited answers, surfaced contradictions, and evidence on where Laurier's information fails students.

自托管、多用户转录平台：录制或上传音频。支持说话人标记、带时间戳的转录、跨录音识别说话人、摘要、提取行动项，并可使用自有 OpenAI 兼容 LLM 与转录内容对话。你的音频、你的服务器、你的模型。已在笔记本 RTX4070、台式机 RTX3090 与 RTX5090 上测试。Self-hosted, multi-user transcription platform: record or upload audio. Speaker-labeled, timestamped transcripts, Recognize speakers across recordings, Summarize, extract action items and chat over your transcripts with your own OpenAI-compatible LLM. Your Audio, your Server, your Model. Tested on Laptop RTX4070, Desktop RTX3090 and RTX5090

🛠️ 通过 Local-LLM（一款基于 BERT 模型的轻量级 Python 库）在安全环境中实现离线 NLP 工作流，确保可复现性与可靠性。🛠️ Enable offline NLP workflows with Local-LLM, a lightweight Python library for secure environments using the BERT model, ensuring reproducibility and reliability.

自托管、隐私优先的个人 AI 知识伴侣，具备 RAG 驱动的检索、智能 Agent 与可扩展 SDK。Self-hosted, privacy-first Personal AI Knowledge Companion with RAG-powered retrieval, intelligent agents, and extensible SDK

面向商业智能 Agent 的 MCP server——基于真实 KPI 分析提供 6 个 tools / 6 个 resources / 1 个 prompt；兼容 Claude Desktop、LangGraph、CrewAI、DSPy。基于 FastMCP。MCP server for business-intelligence agents — 6 tools / 6 resources / 1 prompt over real KPI analytics; works from Claude Desktop, LangGraph, CrewAI, DSPy. FastMCP.

面向殡葬/保险/遗产服务机构的 To B 多租户 AI 平台。包含案件管理、审计日志、知识库、团队 RBAC、许可证及数据导出。基于 FastAPI + LangGraph 构建。To B multi-tenant AI platform for funeral/insurance/estate service organizations. Case management, audit logs, knowledge base, team RBAC, license & data export. Built on FastAPI + LangGraph.

面向 AI coding agents 的 local-first 分层记忆中枢——自动采集、LLM 整合、hybrid retrieval、实时 Neural Universe 监控、日常自审计。兼容 Claude Code / Codex / 任何 MCP 客户端。Local-first hierarchical memory brain for AI coding agents — auto-capture, LLM consolidation, hybrid retrieval, live Neural Universe monitor, daily self-audit. Claude Code / Codex / any MCP client.

空间智能工作站——53 路实时 OSINT 数据源，基于 PostgreSQL+pgvector 的 FollowTheMoney 实体图谱，9 阶段多 Agent 编排器（4 层防幻觉防护）、贝叶斯信源裁定、W3C PROV 证据 DAG、GNN 流水线（GAT+T-GCN+FedAvg+DP-SGD），3 节点 Ed25519 认证网格，通过 NVIDIA NIM Cascade 实现 24 小时自动简报Spatial intelligence workstation — 53 live OSINT feeds, FollowTheMoney entity graph on PostgreSQL+pgvector, 9‑phase multi‑agent orchestrator with 4‑layer anti‑hallucination guards, Bayesian source adjudication, W3C PROV evidence DAG, GNN pipeline (GAT+T‑GCN+FedAvg+DP‑SGD), 3‑node mesh with Ed25519 auth, automated 24h briefing via NVIDIA NIM Cascade

面向会议的对话智能：将转录文本转化为摘要、决策、行动项、风险与机会，支持多租户自托管。FIAP NEXT Challenge 2026。Conversation intelligence for meetings: turns transcripts into summaries, decisions, action items, risks and opportunities. Multi-tenant, self-hosted. FIAP NEXT Challenge 2026.

基于 specter2 + BERTopic 的 arXiv 论文发现——通过 embedding 检索与主题聚类实现每日论文推荐。arXiv paper discovery with specter2 + BERTopic — embedding-based retrieval and topic clustering for daily paper recommendations.

面向 Kubernetes 环境的 air-gapped RAG pipeline。在 LibreChat/LiteLLM/Keycloak/vLLM 之上增加文档摄取、强制的分类/可发布性标签、策展人审核与基于声明的访问控制检索，并以自定义 MCP 工具的形式对外暴露。Air-gapped RAG pipeline for Kubernetes environments. Adds document ingestion, mandatory classification/releasability tagging, curator review, and claims-based access-controlled retrieval on top of LibreChat/LiteLLM/Keycloak/vLLM — exposed as a custom MCP tool.

面向银行内部产品审计的深度研究 LLM Agent + RAG 平台，提供带引用报告、PDF 导出与 pgvector 支持。Deep-research LLM agent + RAG platform for internal bank-product audit — cited reports, PDF export, pgvector

FastMCP 3.2 语音 gateway：FunASR 本地 STT、Gemini Live/TTS、Hume、ElevenLabs 声音克隆、唤醒词、RAG。MCP server + React webapp。FastMCP 3.2 speech gateway: FunASR local STT, Gemini Live/TTS, Hume, ElevenLabs cloning, wake word, RAG. MCP server + React webapp.