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. 1

    智能体
    已放弃

    Open-Source AI-powered web browser. Browse the web with your own LLM API key. Alternative to Dia / Comet.

    github实测增长打开来源 ↗

    94GitHub 星标稳定
  2. 2

    MCP
    活跃

    Cross-platform persistent memory MCP for Codex, Gemini CLI, Claude Code, and other local MCP hosts. 36 cited neuroscience mechanisms, local-first SQLite/PostgreSQL, hybrid retrieval, decay-based consolidation, and reproducible benchmarks.…

    github实测增长打开来源 ↗

    71GitHub 星标稳定
  3. 3
    活跃

    Semantic Scholar API wrapper for agents — search 200M+ papers, traverse citations, find authors. Python, rate-limited, multi-agent.

    github实测增长打开来源 ↗

    安装 git clone https://github.com/Agents365-ai/semanticscholar-skill ~/.claude/skills/semanticscholar-skill

    68GitHub 星标稳定
  4. 4
    活跃

    The official Pinecone marketplace for Claude Code Plugins

    github实测增长打开来源 ↗

    安装 /plugin marketplace add pinecone-io/pinecone-claude-code-plugin

    68GitHub 星标稳定
  5. 5
    活跃

    Token-efficient code review knowledge graph: semantic search and call-graph resolution.

    mcp实测增长打开来源 ↗

    安装 claude mcp add better-code-review-graph -- uvx better-code-review-graph

    66GitHub 星标稳定
  6. 6
    活跃

    Persistent memory for Claude Code & Codex CLI. Auto-extracted knowledge graph, multi-representation embeddings, 3D WebGL visualization. LongMemEval R@5=97.45%. Self-hosted, Ollama-optional

    github实测增长打开来源 ↗

    66GitHub 星标稳定
  7. 7
    活跃

    RuvNet Brain — a downloadable, source-grounded brain for Claude Code over Reuven Cohen's (rUv's) RuvNet stack: RuVector/RVF, Ruflo, AgentDB, RuLake, SPARC + 21 building blocks. Grounds Claude in real source via one MCP tool (search_ruvnet),…

    github实测增长打开来源 ↗

    64GitHub 星标稳定
  8. 8
    活跃

    Agent skills for LandingAI's Agentic Document Extraction (ADE) — production-ready document AI for agentic coding assistants

    github实测增长打开来源 ↗

    安装 git clone https://github.com/landing-ai/ade-document-processing-skills ~/.claude/skills/ade-document-processing-skills

    64GitHub 星标稳定
  9. 9

    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 ↗

    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
  11. 11
    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
  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