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
118
工具排名
混合排名:实测增长优先。 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
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 - 2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-server339GitHub 星标稳定 - 3活跃
Semantic search across Sui documentation and knowledge sources, powered by kapa.ai
mcp实测增长打开来源 ↗
需在 MCP 配置中声明的远程服务器
https://sui.mcp.kapa.ai7 740GitHub 星标稳定 - 4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-mcp276GitHub 星标稳定 - 5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 - 6活跃
Local-first, auditable Python code agent. Ships its own 30-task hidden-test benchmark plus SWE-bench Verified scored by the official harness -- every number reproducible, negative results included.
github实测增长打开来源 ↗
安装
git clone https://github.com/hwfengcs/DM-Code-Agent ~/.claude/skills/DM-Code-Agent151GitHub 星标稳定 - 7活跃
An event-driven framework designed to build and orchestrate multi-agent AI systems. It enables seamless integration of AI agents with real-world data sources and systems, facilitating complex, multi-step workflows.
github实测增长打开来源 ↗
4 950GitHub 星标-1 (-0.02 %) - 82 124 0077 天下载量-236 302 (-10.0 %)
- 95 313 2577 天下载量-1 221 794 (-18.7 %)
- 10776 3697 天下载量-342 529 (-30.6 %)
- 1136 578GitHub 星标—
学习与参考资源
按实测增长排序,并在不同来源间归一化。 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 ↗
My complete journey to becoming an Agentic AI Engineer through structured learning, projects, experiments, and production-ready implementations of modern AI systems.
github资源实测增长18GitHub 星标稳定 - 3活跃打开来源 ↗
Comprehensive collection of AI concepts, research findings, and practical implementations. From machine learning fundamentals to cutting-edge LLMs, agents, and emerging technologies.
github资源实测增长1GitHub 星标稳定 - 4活跃打开来源 ↗
Build LLM systems you actually control. A free, open engineering book + course — from tokenization to serving your own models. Mechanisms, trade-offs, and numbers, not prompt tips
github资源实测增长46GitHub 星标稳定 - 5活跃打开来源 ↗
Detect underpriced products by scraping deals and using AI models to estimate fair prices for profit opportunity identification.
github资源实测增长1GitHub 星标稳定 - 6活跃打开来源 ↗
🤖 The strongest curated list of open-source AI-agent tools for literature review — 70+ tools across 11 categories (Claude Code skills, deep research, MCP servers, PDF parsing, systematic review). 面向智能体文献综述的最强工具大全。
github资源实测增长16GitHub 星标+3 (+23.1 %) - 7活跃打开来源 ↗
Curated Agentic AI resources: AI agent frameworks, tutorials, courses, projects, MCP tools, research papers, evaluation, security, and production guides.
github资源实测增长2GitHub 星标稳定