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

144

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. 1
    活跃

    IBM watsonx.ai MCP by three.ws: chat, text generation, embeddings, and tokenization.

    mcp实测增长打开来源 ↗

    安装 claude mcp add ibm-watsonx -- npx @three-ws/ibm-watsonx-mcp

    105GitHub 星标稳定
  2. 2
    活跃

    x402 pay-per-use IBM Granite AI: chat, code, embeddings, analysis, forecasting. Pay USDC per call.

    mcp实测增长打开来源 ↗

    安装 claude mcp add ibm-x402-mcp -- npx @three-ws/ibm-x402-mcp

    105GitHub 星标稳定
  3. 3
    活跃

    Data-Agent:从 0 到 1 构建 Text2SQL 智能体实战教程,覆盖 StateGraph 编排、双重 RAG、关系图谱、HITL 人工确认、SQL 自动纠错、Python Docker 沙盒执行与 A2A + SSE 流式交互。

    github实测增长打开来源 ↗

    100GitHub 星标-1 (-0.99 %)
  4. 4

    技能
    活跃

    Lightweight Doc-to-agent-ready knowledge pipeline. Three-stage Bronze→Silver→Gold architecture extracts structured elements, page content, and AI-enriched metadata from research papers and books. Generate PRDs, workflows, topic clusters,…

    github实测增长打开来源 ↗

    安装 git clone https://github.com/agentii-ai/DocMeld ~/.claude/skills/DocMeld

    100GitHub 星标稳定
  5. 5

    智能体
    活跃

    🚀 Way Back Home

    github实测增长打开来源 ↗

    96GitHub 星标稳定
  6. 6

    智能体
    活跃

    Vane is an AI-powered answering engine.

    github估算动量打开来源 ↗

    36 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. 1

    membrane

    技能
    休眠打开来源 ↗

    A selective learning and memory substrate for agentic systems — typed, revisable, decayable memory with competence learning and trust-aware retrieval.

    github

    安装 git clone https://github.com/BennettSchwartz/membrane ~/.claude/skills/membrane

    资源实测增长
    94GitHub 星标稳定
  2. 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. 3
    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 /plugin marketplace add johnzfitch/claude-wiki

    资源实测增长
    21GitHub 星标稳定
  4. 4
    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
  5. 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. 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
  7. 7
    休眠打开来源 ↗

    Collection of some interesting Generative AI usecases implementation.

    github资源实测增长
    2GitHub 星标稳定
  8. 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. 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. 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. 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. 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. 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