Die Werkzeugbeschreibungen sind auf Englisch.

RAG und Suche

Retrieval, Vektordatenbanken, Embeddings und semantische Suche.

Anwendungsfall

Aktivität

Sortieren nach

147

Werkzeug-Rangliste

Nach gemessenem Wachstum und quellenübergreifend normalisiert sortiert. Rohwerte behalten ihr eigenes Zeitfenster; eine Änderung erfordert mindestens zwei Messungen in 7 Tagen.

  1. 1

    Skill
    Aktiv

    Turn scattered knowledge, operational data, and history into source-linked context that your agents can inspect, explain, and reuse.

    githubgemessenes WachstumQuelle öffnen ↗

    Installieren git clone https://github.com/sparkplug604/praxis ~/.claude/skills/praxis

    48GitHub-Sterne+1 (+2.1 %)
  2. 2
    Ruhend

    Personal knowledge base MCP server with semantic search, auto-categorization, metadata extraction

    mcpgemessenes WachstumQuelle öffnen ↗

    Remote-Server, in der MCP-Konfiguration anzugeben https://hcelnlqmgddxzvjegpdr.supabase.co/functions/v1/mcp-server

    0GitHub-Sternestabil
  3. 3
    Aktiv

    Multi-agent banking customer service system built on the A2A protocol. A2A Net Hackathon.

    githubgemessenes WachstumQuelle öffnen ↗

    0GitHub-Sternestabil
  4. 4

    Skill
    Aktiv

    Local-first AI knowledge app and Agent Skill with evidence-backed Wiki, an interactive knowledge universe, Viki Q&A, and shareable knowledge galaxies.

    githubgemessenes WachstumQuelle öffnen ↗

    Installieren git clone https://github.com/NimaChu/my-wiki ~/.claude/skills/my-wiki

    123GitHub-Sternestabil
  5. 5
    Aktiv

    MCP memory server for AI coding assistants. Windows Service, ONNX embeddings, SQLite vector search.

    mcpgemessenes WachstumQuelle öffnen ↗

    0GitHub-Sternestabil
  6. 6
    Ruhend

    Sourcegraph code search, semantic search, go-to-definition, find-references, and diff search.

    mcpgemessenes WachstumQuelle öffnen ↗

    Remote-Server, in der MCP-Konfiguration anzugeben https://{sourcegraph_hostname}/.api/mcp

    14GitHub-Sternestabil
  7. 7

    MCP
    Aktiv

    Recall (recall.it) — your AI knowledge base / 'second brain'. Via the official API: semantic search

    mcpgemessenes WachstumQuelle öffnen ↗

    Remote-Server, in der MCP-Konfiguration anzugeben https://api.mcp.ai/p_recall

    0GitHub-Sternestabil
  8. 8
    Aktiv

    Academic paper knowledge-base MCP server: PDF ingest, vector search with reranking, KB management.

    mcpgemessenes WachstumQuelle öffnen ↗

    Installieren claude mcp add scholar-rag-mcp -- uvx scholar-rag-mcp

    4GitHub-Sternestabil
  9. 9

    Sonstige
    Aktiv

    Zilliz Cloud plugin for Claude Code & OpenAI Codex — manage clusters, collections, vector search, backups, and more through natural language.

    githubgemessenes WachstumQuelle öffnen ↗

    3GitHub-Sternestabil
  10. 10
    Aktiv

    RAG memory for LLM agents over Garnet Vector Sets: store text as embeddings, recall by meaning.

    mcpgemessenes WachstumQuelle öffnen ↗

    0GitHub-Sternestabil
  11. 11
    Aktiv

    Apple Developer Documentation with Semantic Search, RAG, and AI reranking for MCP clients

    mcpgemessenes WachstumQuelle öffnen ↗

    Remote-Server, in der MCP-Konfiguration anzugeben https://mcp.apple-rag.com

    116GitHub-Sternestabil
  12. 12
    Aktiv

    Local-first, auditable Python code agent. Ships its own 30-task hidden-test benchmark plus SWE-bench Verified scored by the official harness -- every number reproducible, negative results included.

    githubgemessenes WachstumQuelle öffnen ↗

    Installieren git clone https://github.com/hwfengcs/DM-Code-Agent ~/.claude/skills/DM-Code-Agent

    151GitHub-Sternestabil
  13. 13

    Agent
    Aktiv

    Knowli: shared knowledge capture with human review, conflict resolution, cited retrieval, and a simple local-first stack.

    githubgemessenes WachstumQuelle öffnen ↗

    0GitHub-Sternestabil
  14. 14
    Aktiv

    Graph-based memory system for LLMs with knowledge graphs and semantic search.

    mcpgemessenes WachstumQuelle öffnen ↗

    Installieren claude mcp add memograph -- uvx memograph

    4GitHub-Sternestabil
  15. 15

    MCP
    Ruhend

    Local-first MCP server: semantic search over library docs. No cloud, no API key, no telemetry.

    mcpgemessenes WachstumQuelle öffnen ↗

    3GitHub-Sternestabil
  16. 16
    Aktiv

    Extract clean markdown from any URL. Removes boilerplate. For RAG pipelines. x402.

    mcpgemessenes WachstumQuelle öffnen ↗

    Remote-Server, in der MCP-Konfiguration anzugeben https://web-scraper.api.klymax402.com/mcp

    0GitHub-Sternestabil
  17. 17

    MCP
    Ruhend

    The enterprise-grade CrewAI alternative for Go. Orchestrate strictly-typed, parallel AI agents with LangGraph-style Flow persistence, distributed A2A protocols, Model Context Protocol (MCP), and Human-in-the-Loop training.

    githubgemessenes WachstumQuelle öffnen ↗

    11GitHub-Sternestabil
  18. 18
    Aktiv

    In-memory vector search with TF-IDF and cosine similarity. x402 micropayment.

    mcpgemessenes WachstumQuelle öffnen ↗

    Remote-Server, in der MCP-Konfiguration anzugeben https://vector-search.api.klymax402.com/mcp

    0GitHub-Sternestabil
  19. 19
    Aktiv

    RAG-powered AI chatbot for gas & energy engineering documentation. Built on Strands Agent SDK, Amazon Bedrock Nova Lite, and FAISS vector search.

    githubgemessenes WachstumQuelle öffnen ↗

    0GitHub-Sternestabil
  20. 20
    Aktiv

    Local-first audio analysis: BPM, musical key, production profile, and CLAP vibe embeddings.

    mcpgemessenes WachstumQuelle öffnen ↗

    4GitHub-Sternestabil
  21. 21

    MCP
    Aktiv

    Fully local, zero-cost RAG knowledge layer for AI coding tools. Achieve near perfect codebase awareness with any AI tool. Supports Claude Code, Cursor, Codex, Antigravity

    githubgemessenes WachstumQuelle öffnen ↗

    0GitHub-Sternestabil
  22. 22
    Ruhend

    Persistent semantic memory for AI agents using local ChromaDB vector search. No cloud required.

    mcpgemessenes WachstumQuelle öffnen ↗

    3GitHub-Sternestabil
  23. 23
    Aktiv

    Geospatial AI MCP server — satellite imagery, embeddings, weather, GNS governance

    mcpgemessenes WachstumQuelle öffnen ↗

    Remote-Server, in der MCP-Konfiguration anzugeben https://packagesmcp-perception-production.up.railway.app/mcp

    0GitHub-Sternestabil

Lern- und Referenzressourcen

Nach gemessenem Wachstum und quellenübergreifend normalisiert sortiert. Diese Ressourcen bleiben getrennt zugänglich und fließen nicht in die Hauptwertung ein.

  1. 1
    AktivQuelle öffnen ↗

    A curated collection of resources for 🌌 Azure OpenAI, 🦙 LLMs (+RAG, Agents). Monthly Updates.

    github

    Installieren git clone https://github.com/kimtth/azure-openai-llm-notes ~/.claude/skills/azure-openai-llm-notes

    Ressourcegemessenes Wachstum
    410GitHub-Sterne+1 (+0.24 %)
  2. 2
    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
    14GitHub-Sterne+1 (+7.7 %)