Die Werkzeugbeschreibungen sind auf Englisch.

RAG und Suche

Retrieval, Vektordatenbanken, Embeddings und semantische Suche.

Anwendungsfall

Aktivität

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142

Werkzeug-Rangliste

Ranked by normalized popularity across sources. Rohwerte behalten ihr eigenes Zeitfenster; eine Änderung erfordert mindestens zwei Messungen in 7 Tagen.

  1. 1

    Skill
    Aktiv

    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…

    githubgemessenes WachstumQuelle öffnen ↗

    Installieren git clone https://github.com/firish/webfetch ~/.claude/skills/webfetch

    55GitHub-Sternestabil
  2. 2
    Aktiv

    Local semantic search over Obsidian vaults via Smart Connections embeddings. Multi-vault, private.

    mcpgemessenes WachstumQuelle öffnen ↗

    Installieren claude mcp add smart-connections-mcp -- npx smart-connections-mcp

    54GitHub-Sternestabil
  3. 3
    Aktiv

    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.

    githubgemessenes WachstumQuelle öffnen ↗

    Installieren git clone https://github.com/hwfengcs/SDYJ_Multi_Agents ~/.claude/skills/SDYJ_Multi_Agents

    50GitHub-Sternestabil
  4. 4

    MCP
    Ruhend

    Autonomous 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.

    githubgemessenes WachstumQuelle öffnen ↗

    49GitHub-Sterne-1 (-2.0 %)

Lern- und Referenzressourcen

Ranked by normalized popularity across sources. Diese Ressourcen bleiben getrennt zugänglich und fließen nicht in die Hauptwertung ein.

  1. 1
    AktivQuelle öffnen ↗

    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

    githubRessourcegemessenes Wachstum
    46GitHub-Sternestabil
  2. 2
    AktivQuelle öffnen ↗

    Official Claude Documentation - Converted to 2000+ Markdown Files - All documentation sourced from first party sources- 24 categories - refreshed daily, multi-agent orchestration

    github

    Installieren /plugin marketplace add johnzfitch/claude-wiki

    Ressourcegemessenes Wachstum
    21GitHub-Sternestabil
  3. 3
    AktivQuelle öffnen ↗

    My complete journey to becoming an Agentic AI Engineer through structured learning, projects, experiments, and production-ready implementations of modern AI systems.

    githubRessourcegemessenes Wachstum
    18GitHub-Sternestabil
  4. 4
    AktivQuelle öffnen ↗

    🤖 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。

    githubRessourcegemessenes Wachstum
    16GitHub-Sterne+3 (+23.1 %)
  5. 5
    RuhendQuelle öffnen ↗

    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.

    githubRessourcegemessenes Wachstum
    14GitHub-Sternestabil
  6. 6
    AktivQuelle öffnen ↗

    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)

    githubRessourcegemessenes Wachstum
    3GitHub-Sternestabil
  7. 7
    RuhendQuelle öffnen ↗

    Collection of some interesting Generative AI usecases implementation.

    githubRessourcegemessenes Wachstum
    2GitHub-Sternestabil
  8. 8
    AktivQuelle öffnen ↗

    Curated Agentic AI resources: AI agent frameworks, tutorials, courses, projects, MCP tools, research papers, evaluation, security, and production guides.

    githubRessourcegemessenes Wachstum
    2GitHub-Sternestabil
  9. 9

    ai-resources

    Sonstige
    AktivQuelle öffnen ↗

    Comprehensive collection of AI concepts, research findings, and practical implementations. From machine learning fundamentals to cutting-edge LLMs, agents, and emerging technologies.

    githubRessourcegemessenes Wachstum
    1GitHub-Sternestabil
  10. 10
    AktivQuelle öffnen ↗

    Handbook técnico aberto sobre engenharia de IA em produção: ML tradicional, LLMs, RAG, agentes, segurança, observabilidade, FinOps e deployment.

    githubRessourcegemessenes Wachstum
    1GitHub-Sternestabil
  11. 11
    AktivQuelle öffnen ↗

    Detect underpriced products by scraping deals and using AI models to estimate fair prices for profit opportunity identification.

    githubRessourcegemessenes Wachstum
    1GitHub-Sternestabil
  12. 12
    RuhendQuelle öffnen ↗

    Interactive roadmap for becoming an Agentic AI Engineer — 11 stages from Python & FastAPI to multi-agent systems, MCP, RAG, Docker, and context engineering

    githubRessourcegemessenes Wachstum
    1GitHub-Sternestabil
  13. 13
    RuhendQuelle öffnen ↗

    50+ AI agent apps you can actually run — MCP, A2A, LangGraph, SAP, RAG, and multi-agent patterns

    githubRessourcegemessenes Wachstum
    0GitHub-Sternestabil