Die Werkzeugbeschreibungen sind auf Englisch.

RAG und Suche

Retrieval, Vektordatenbanken, Embeddings und semantische Suche.

Anwendungsfall

Aktivität

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112

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

    Agent Skills for NVIDIA products — install into Claude Code, Codex, and other coding agents to run Physical AI, robotics, simulation, CUDA, and RAG workflows end to end.

    githubgemessenes WachstumQuelle öffnen ↗

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

    3 172GitHub-Sterne+53 (+1.7 %)
  2. 2
    Aktiv

    Persistent memory for Claude Code and 6 other CLI agents, stored as plain markdown in your Obsidian vault. Stop re-explaining your projects, decisions and people every session. 45 commands: hybrid semantic search, self-rewriting notes,…

    githubgemessenes WachstumQuelle öffnen ↗

    Installieren git clone https://github.com/eugeniughelbur/obsidian-second-brain ~/.claude/skills/obsidian-second-brain

    4 292GitHub-Sterne+66 (+1.6 %)
  3. 3

    MCP
    Aktiv

    Search your past AI coding sessions — Claude Code, Codex, Cursor and 17 more. Indexes the session history they already wrote to disk, including months from before you installed it, and recalls it in any of them. No LLM, no embeddings, one…

    githubgemessenes WachstumQuelle öffnen ↗

    742GitHub-Sterne+11 (+1.5 %)
  4. 4
    Aktiv

    AST knowledge graph MCP server for Claude Code — semantic search, call graph traversal, HTTP route tracing, impact analysis. Auto-indexes 10 languages via Tree-sitter.

    githubgemessenes WachstumQuelle öffnen ↗

    71GitHub-Sterne+1 (+1.4 %)
  5. 5
    Aktiv

    Local-first RAG server for developers. Semantic + keyword search for code and technical docs. Works with MCP or CLI. Fully private, zero setup.

    githubgemessenes WachstumQuelle öffnen ↗

    378GitHub-Sterne+5 (+1.3 %)
  6. 6

    Skill
    Aktiv

    FoJin-powered Buddhist AI persona framework — source-grounded, boundary-aware, fidelity-tested, runtime-ready.

    githubgemessenes WachstumQuelle öffnen ↗

    Installieren git clone https://github.com/xr843/Master-skill ~/.claude/skills/Master-skill

    380GitHub-Sterne+5 (+1.3 %)
  7. 7
    Aktiv

    Harness engineering applied to knowledge production: a self-evolving multi-agent newsroom that turns your documents into a cross-linked markdown wiki. A "reground" loop pulls published pages back in before they go stale — writer ≠ reviewer,…

    githubgemessenes WachstumQuelle öffnen ↗

    Installieren git clone https://github.com/alfadur7/llm-wiki-newsroom ~/.claude/skills/llm-wiki-newsroom

    80GitHub-Sterne+1 (+1.3 %)
  8. 8

    Skill
    Aktiv

    githubgemessenes WachstumQuelle öffnen ↗

    Installieren git clone https://github.com/mindscale-noah/MindMemOS ~/.claude/skills/MindMemOS

    970GitHub-Sterne+12 (+1.3 %)
  9. 9
    Aktiv

    Universal MCP Server with advanced AI memory capabilities and semantic search.

    mcpgemessenes WachstumQuelle öffnen ↗

    Installieren claude mcp add marm-mcp-server -- uvx marm-mcp-server

    339GitHub-Sterne+4 (+1.2 %)
  10. 10

    MCP
    Aktiv

    Context engineering for AI agents. ~80% fewer tokens. Fix tool overload. Skills and memory with in-process BM25 and semantic retrieval. Progressive Disclosure. No vector DB.

    githubgemessenes WachstumQuelle öffnen ↗

    433GitHub-Sterne+5 (+1.2 %)
  11. 11

    MCP
    Aktiv

    Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.

    githubgemessenes WachstumQuelle öffnen ↗

    68 629GitHub-Sterne+784 (+1.2 %)
  12. 12
    Aktiv

    USPTO patent creation system with MCP server + Claude Code plugin. Hybrid RAG search over MPEP/USC/CFR, BigQuery access to 76M+ patents, automated 35 USC 112 compliance checks, prior art search, diagram generation. GPU-accelerated with…

    githubgemessenes WachstumQuelle öffnen ↗

    177GitHub-Sterne+2 (+1.1 %)
  13. 13

    Skill
    Aktiv

    A persistent, unified memory layer for all your AI agents (e.g. Claude Code, Codex, DSH), backed by Markdown and Milvus.

    githubgemessenes WachstumQuelle öffnen ↗

    Installieren /plugin marketplace add zilliztech/memsearch

    2 546GitHub-Sterne+27 (+1.1 %)
  14. 14
    Aktiv

    A Go framework for building production agent systems with graph workflows, tools, memory, A2A, AG-UI, MCP, evaluation, and observability.

    githubgemessenes WachstumQuelle öffnen ↗

    1 759GitHub-Sterne+18 (+1.0 %)
  15. 15

    MCP
    Aktiv

    MCP server for Claude Code and Codex. One tool call replaces ~42 minutes of agent exploration

    githubgemessenes WachstumQuelle öffnen ↗

    102GitHub-Sterne+1 (+0.99 %)
  16. 16
    Aktiv

    Self improving agents through iterations

    githubgemessenes WachstumQuelle öffnen ↗

    105GitHub-Sterne+1 (+0.96 %)
  17. 17
    Aktiv

    Search arXiv papers, download full text, semantic search, citation graphs, and alerts via MCP.

    mcpgemessenes WachstumQuelle öffnen ↗

    Installieren claude mcp add arxiv-mcp-server -- uvx arxiv-mcp-server

    3 091GitHub-Sterne+26 (+0.85 %)
  18. 18

    MCP
    Aktiv

    A semantic search engine for files and code.

    mcpgemessenes WachstumQuelle öffnen ↗

    Installieren claude mcp add vexor -- uvx vexor

    239GitHub-Sterne+2 (+0.84 %)
  19. 19

    Skill
    Aktiv

    Find out what your coding agents already know. Docmancer indexes the memory, rules, and instructions Claude Code, Codex, Cursor, and Gemini wrote on your machine, then carries the durable parts to every agent. It is local-first and under…

    githubgemessenes WachstumQuelle öffnen ↗

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

    123GitHub-Sterne+1 (+0.82 %)
  20. 20

    Skill
    Aktiv

    Persistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with Claude Code, OpenClaw, Codex, Gemini,…

    githubgemessenes WachstumQuelle öffnen ↗

    Installieren /plugin marketplace add thedotmack/claude-mem

    93 043GitHub-Sterne+717 (+0.78 %)
  21. 21

    Agent
    Aktiv

    Ruby's capable AI runtime

    githubgemessenes WachstumQuelle öffnen ↗

    138GitHub-Sterne+1 (+0.73 %)
  22. 22

    Agent
    Aktiv

    The Memory Layer for AI Agents - Drop-in memory infrastructure for AI agents and apps. Context that persists. Built for production.

    githubgemessenes WachstumQuelle öffnen ↗

    64 602GitHub-Sterne+387 (+0.60 %)
  23. 23

    Agent
    Aktiv

    RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs

    githubgemessenes WachstumQuelle öffnen ↗

    89 937GitHub-Sterne+518 (+0.58 %)

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 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…

    githubRessourcegemessenes Wachstum
    316GitHub-Sterne+3 (+0.96 %)
  2. 2
    AktivQuelle öffnen ↗

    100+ AI Agents, Agent Skills and RAG Apps - Free and Open Source.

    github

    Installieren git clone https://github.com/Shubhamsaboo/awesome-llm-apps ~/.claude/skills/awesome-llm-apps

    Ressourcegemessenes Wachstum
    135 793GitHub-Sterne+1 057 (+0.78 %)