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
147
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
Scaffolding skill + always-on conventions (CLAUDE.md/AGENTS.md) for Quarkus + LangChain4j agentic AI apps: AI services, multi-agent workflows, and RAG. Installable in Claude Code, Codex, Copilot, Cursor, and any Agent Skills-compatible…
github实测增长打开来源 ↗
安装
/plugin marketplace add eldermoraes/quarkus-agentic-scaffolding26GitHub 星标稳定 - 22 147 9957 天下载量-154 912 (-6.7 %)
- 3777 7457 天下载量-72 798 (-8.6 %)
- 45 337 5017 天下载量-354 838 (-6.2 %)
- 536 578GitHub 星标—
- 6活跃
codeseek
CLIRust-powered code intelligence CLI for AI coding agents. Builds call graphs and hybrid semantic search indexes (Dense + Sparse + RRF + Reranker) across 7 languages. Ships as native MCP tools for Claude Code and Codex CLI.
github估算动量打开来源 ↗
764GitHub 星标—
学习与参考资源
混合排名：实测增长优先。 这些资源可单独访问，不参与主要排名。
- 1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 - 2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 - 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 ↗
membrane
技能A selective learning and memory substrate for agentic systems — typed, revisable, decayable memory with competence learning and trust-aware retrieval.
github安装
资源实测增长git clone https://github.com/BennettSchwartz/membrane ~/.claude/skills/membrane94GitHub 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 ↗
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 - 7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 - 8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 - 92GitHub 星标稳定
- 10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 - 11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 - 12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 - 13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 - 14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 %) - 150GitHub 星标—
- 16休眠打开来源 ↗
50+ AI agent apps you can actually run — MCP, A2A, LangGraph, SAP, RAG, and multi-agent patterns
github资源估算动量0GitHub 星标—