工具说明为英文。
RAG 与搜索
检索增强、向量数据库、嵌入和语义搜索。
用途
活跃度
排序方式
121
工具排名
Ranked by known GitHub stars, highest first; archived repositories come after maintained repositories. 原始值保留各自的数据窗口;计算变化需要 7 天内至少两次测量。
- 1活跃
github实测增长打开来源 ↗
安装
git clone https://github.com/mindscale-noah/MindMemOS ~/.claude/skills/MindMemOS979GitHub 星标+14 (+1.5 %) - 2活跃
nuwax
其他Nuwax Agent OS - An enterprise-grade AI Agent Development and Operation Platform - Providing a complete solution for agent creation and distribution, knowledge base management, model proxy, memory system, and plugin ecosystem.
github实测增长打开来源 ↗
880GitHub 星标+5 (+0.57 %) - 3活跃
deja-vu
MCPSearch your past AI coding sessions — Claude Code, Codex, Cursor and 17 more. Indexes the session history they already wrote to disk, including months from before you installed it, and recalls it in any of them. No LLM, no embeddings, one…
github估算动量打开来源 ↗
742GitHub 星标— - 4活跃
ReachAI企业级智能体开发平台:快速、安全完成已有业务系统智能化改造,让 AI 在 OA、ERP、CRM 等原系统中查数据、填表单、办业务。ReachAI: Quickly and securely bring AI to existing enterprise systems, enabling AI to query data, fill out forms, and execute business tasks directly within OA, ERP,…
github实测增长打开来源 ↗
安装
git clone https://github.com/w8123/EnterpriseAgentFramework ~/.claude/skills/EnterpriseAgentFramework694GitHub 星标+74 (+11.9 %) - 5639GitHub 星标+1 (+0.16 %)
- 6活跃
Give your AI a real, persistent memory. The open-source system plus templates that turn an Obsidian vault into your AI's working memory. No vector database, just markdown.
github实测增长打开来源 ↗
安装
git clone https://github.com/jaredrhod/ai-memory-vault ~/.claude/skills/ai-memory-vault628GitHub 星标+34 (+5.7 %) - 7活跃
Open-source infrastructure that turns scattered SKILL.md files into curated, retrieval-ready agent-skill corpora—with retrieval and evaluation tooling included.
github实测增长打开来源 ↗
安装
git clone https://github.com/EverMind-AI/SkillCorpus ~/.claude/skills/SkillCorpus555GitHub 星标+195 (+54.2 %) - 8活跃
Octocode
MCPAI-powered code indexer with semantic search and knowledge graphs
mcp实测增长打开来源 ↗
安装
claude mcp add octocode -- npx @muvon/octocode469GitHub 星标+10 (+2.2 %) - 9活跃
ratel
MCPContext engineering for AI agents. ~80% fewer tokens. Fix tool overload. Skills and memory with in-process BM25 and semantic retrieval. Progressive Disclosure. No vector DB.
github实测增长打开来源 ↗
434GitHub 星标+4 (+0.93 %) - 10活跃
deepdive
技能Deepdive skill for Claude Code — 12-phase research pipeline: plan-review gate, parallel sub-agent search, claims-ledger triangulation with dissent protection, relevance × authority evidence filter, multi-angle red team, four-layer citation…
github实测增长打开来源 ↗
安装
git clone https://github.com/Socialpranker/deepdive ~/.claude/skills/deepdive393GitHub 星标+5 (+1.3 %) - 11活跃
Local-first RAG server for developers. Semantic + keyword search for code and technical docs. Works with MCP or CLI. Fully private, zero setup.
github实测增长打开来源 ↗
387GitHub 星标+10 (+2.7 %) - 12活跃
FoJin-powered Buddhist AI persona framework — source-grounded, boundary-aware, fidelity-tested, runtime-ready.
github实测增长打开来源 ↗
安装
git clone https://github.com/xr843/Master-skill ~/.claude/skills/Master-skill382GitHub 星标+2 (+0.53 %) - 13活跃
EDDI
MCPConfig-driven engine that turns JSON into production-grade AI agents. Multi-agent orchestration, 12+ LLM providers, MCP/A2A protocols, RAG, persistent memory, and enterprise compliance (EU AI Act, GDPR, HIPAA). Built on Quarkus.
github实测增长打开来源 ↗
372GitHub 星标稳定 - 14活跃
Universal MCP Server with advanced AI memory capabilities and semantic search.
mcp实测增长打开来源 ↗
安装
claude mcp add marm-mcp-server -- uvx marm-mcp-server350GitHub 星标+11 (+3.2 %) - 15活跃
aura
MCPAURA is a production-tested SRE agent platform you can deploy in minutes. AURA handles the guardrails, APIs, state management, streaming, and failure handling required to put AI to work safely on production infrastructure.
github实测增长打开来源 ↗
342GitHub 星标+84 (+32.6 %) - 16活跃
Local-first document management and semantic search for AI coding agents
mcp实测增长打开来源 ↗
安装
claude mcp add mcp-documentation-server -- npx @andrea9293/mcp-documentation-server342GitHub 星标稳定 - 17活跃
LLMVault
其他An intentionally vulnerable OWASP LLM Top 10 training platform for AI Security, Prompt Injection, RAG Security, Agent Security, and GenAI penetration testing.
github实测增长打开来源 ↗
314GitHub 星标+7 (+2.3 %) - 18活跃
Cognitive memory for AI agents — semantic search, Hebbian learning, knowledge graphs.
mcp实测增长打开来源 ↗
安装
claude mcp add shodh-memory -- npx @shodh/memory-mcp277GitHub 星标+1 (+0.36 %) - 19活跃
全流程 智能招投标 Agent:标书生成 · 招投标解读 · 标书检查 · 标书文档ai排版 · 商机发现 一键完成。 21 项合规检查 · 多模型切换 · RAG 知识库 · OCR 抽取。 从招标公告到可交付 docx 文档,全流程 AI 自动化。
github实测增长打开来源 ↗
安装
git clone https://github.com/guangshu100/BidMaster-Pro ~/.claude/skills/BidMaster-Pro252GitHub 星标+26 (+11.5 %) - 20活跃
Vexor
MCPA semantic search engine for files and code.
mcp实测增长打开来源 ↗
安装
claude mcp add vexor -- uvx vexor239GitHub 星标稳定 - 21活跃
skills
技能Agent skills for Qdrant vector search: scaling, performance optimization, search quality, monitoring, deployment, model migration, version upgrades, and SDK usage across Python, TypeScript, Rust, Go, .NET, Java
github实测增长打开来源 ↗
安装
git clone https://github.com/qdrant/skills ~/.claude/skills/skills230GitHub 星标+2 (+0.88 %) - 22活跃
The Complete AI Development Toolkit for Claude Code. 106 skills, 36 agents, 171 hooks. Install `ork` for stable (v9.x), or `ork-alpha` for the v10 line, which ships daily.
github实测增长打开来源 ↗
安装
/plugin marketplace add yonatangross/orchestkit229GitHub 星标+5 (+2.2 %) - 23活跃
USPTO patent creation system with MCP server + Claude Code plugin. Hybrid RAG search over MPEP/USC/CFR, BigQuery access to 76M+ patents, automated 35 USC 112 compliance checks, prior art search, diagram generation. GPU-accelerated with…
github实测增长打开来源 ↗
178GitHub 星标+2 (+1.1 %)
学习与参考资源
Ranked by known GitHub stars, highest first; archived repositories come after maintained repositories. 这些资源可单独访问,不参与主要排名。
- 1活跃打开来源 ↗
A curated collection of resources for 🌌 Azure OpenAI, 🦙 LLMs (+RAG, Agents). Monthly Updates.
github安装
资源实测增长git clone https://github.com/kimtth/azure-openai-llm-notes ~/.claude/skills/azure-openai-llm-notes410GitHub 星标稳定 - 2活跃打开来源 ↗
A practical AI agents handbook covering agent systems, agentic workflows, LangGraph, MCP/A2A, context engineering, agent memory, evaluation, observability, and multi-agent architecture. Current trend focus: Gemini Interactions API and…
github资源实测增长316GitHub 星标-1 (-0.32 %)