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
142
工具排名
Ranked by normalized popularity across sources. 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
webfetch
技能Own your LLM's web search: a local search->fetch->rank pipeline that replaces hosted web-search tools. Measured: matches hosted accuracy at 66% lower cost and up to 88% fewer tokens, plus a precision-tuned semantic caching with…
github实测增长打开来源 ↗
安装
git clone https://github.com/firish/webfetch ~/.claude/skills/webfetch55GitHub 星标稳定 - 2活跃
Local semantic search over Obsidian vaults via Smart Connections embeddings. Multi-vault, private.
mcp实测增长打开来源 ↗
安装
claude mcp add smart-connections-mcp -- npx smart-connections-mcp54GitHub 星标稳定 - 3活跃
A LangGraph-powered multi-agent deep research system featuring task planning, human-in-the-loop review, multi-source retrieval, evidence-grounded report generation, full tracing and reproducible evaluation.
github实测增长打开来源 ↗
安装
git clone https://github.com/hwfengcs/SDYJ_Multi_Agents ~/.claude/skills/SDYJ_Multi_Agents50GitHub 星标稳定 - 4休眠
LLM-Wiki
MCPAutonomous knowledge base plugin for Claude Code - captures reserch, ideas, and decisions into an interlinked wiki with reserch-on-miss, semantic search, and a Wikipedia-style web UI. Knowledge compounds as you work.
github实测增长打开来源 ↗
49GitHub 星标-1 (-2.0 %)
学习与参考资源
Ranked by normalized popularity across sources. 这些资源可单独访问，不参与主要排名。
- 1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 - 2活跃打开来源 ↗
Official Claude Documentation - Converted to 2000+ Markdown Files - All documentation sourced from first party sources- 24 categories - refreshed daily, multi-agent orchestration
github安装
资源实测增长/plugin marketplace add johnzfitch/claude-wiki21GitHub 星标稳定 - 3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 - 4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 %) - 5休眠打开来源 ↗
Persistent memory for Claude Code. Auto-capture decisions, learnings, client info. Cloud backup to Supabase. Never lose context again. Free alternative to Mem.ai, Rewind AI, Personal AI.
github资源实测增长14GitHub 星标稳定 - 6活跃打开来源 ↗
Spring AI 实战教程 🚀 ChatClient → RAG → MCP → Agent → A2A，24 个手写模块循序渐进（Spring Boot 4.1 + Spring AI 2.0 + Java 21）
github资源实测增长3GitHub 星标稳定 - 72GitHub 星标稳定
- 8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 - 9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 - 10活跃打开来源 ↗
Handbook técnico aberto sobre engenharia de IA em produção: ML tradicional, LLMs, RAG, agentes, segurança, observabilidade, FinOps e deployment.
github资源实测增长1GitHub 星标稳定 - 11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 - 12休眠打开来源 ↗
Interactive roadmap for becoming an Agentic AI Engineer — 11 stages from Python & FastAPI to multi-agent systems, MCP, RAG, Docker, and context engineering
github资源实测增长1GitHub 星标稳定 - 13休眠打开来源 ↗
50+ AI agent apps you can actually run — MCP, A2A, LangGraph, SAP, RAG, and multi-agent patterns
github资源实测增长0GitHub 星标稳定