Die Werkzeugbeschreibungen sind auf Englisch.

RAG und Suche

Retrieval, Vektordatenbanken, Embeddings und semantische Suche.

Anwendungsfall

Aktivität

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146

Werkzeug-Rangliste

Gemischte Rangfolge: Gemessenes Wachstum hat Vorrang. Rohwerte behalten ihr eigenes Zeitfenster; eine Änderung erfordert mindestens zwei Messungen in 7 Tagen.

  1. 1

    Agent
    Aktiv

    BISHENG is an open LLM devops platform for next generation Enterprise AI applications. Powerful and comprehensive features include: GenAI workflow, RAG, Agent, Unified model management, Evaluation, SFT, Dataset Management, Enterprise-level…

    githubgemessenes WachstumQuelle öffnen ↗

    11 923GitHub-Sterne+3 (+0.03 %)
  2. 2

    Agent
    Aktiv

    Vane is an AI-powered answering engine.

    githubgeschätztes MomentumQuelle öffnen ↗

    36 578GitHub-Sterne
  3. 3

    CLI
    Aktiv

    Rust-powered code intelligence CLI for AI coding agents. Builds call graphs and hybrid semantic search indexes (Dense + Sparse + RRF + Reranker) across 7 languages. Ships as native MCP tools for Claude Code and Codex CLI.

    githubgemessenes WachstumQuelle öffnen ↗

    764GitHub-Sterne-1 (-0.13 %)

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 ↗

    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
  2. 2
    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-Sternestabil
  3. 3
    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 %)
  4. 4
    AktivQuelle öffnen ↗

    Collection of Claude Skills for DSPy framework - program language models, optimize prompts, and build RAG pipelines systematically

    github

    Installieren git clone https://github.com/OmidZamani/dspy-skills ~/.claude/skills/dspy-skills

    Ressourcegemessenes Wachstum
    122GitHub-Sterne+1 (+0.83 %)
  5. 5
    AktivQuelle öffnen ↗

    AtlasAgent - an auditable AI agent control plane: evidence-backed memory, governed tool runtime, checkpoint DAG recovery, and a 55-chapter engineering tutorial. FastAPI / Next.js PWA / Textual TUI

    github

    Installieren git clone https://github.com/malevrigns/atlas-agent-control-plane ~/.claude/skills/atlas-agent-control-plane

    Ressourcegemessenes Wachstum
    110GitHub-Sterne+39 (+54.9 %)
  6. 6
    AktivQuelle öffnen ↗

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

    github

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

    Ressourcegemessenes Wachstum
    94GitHub-Sternestabil
  7. 7
    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
  8. 8
    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
  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
    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
  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
    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
  13. 13
    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
  14. 14
    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
  15. 15
    RuhendQuelle öffnen ↗

    Collection of some interesting Generative AI usecases implementation.

    githubRessourcegemessenes Wachstum
    2GitHub-Sternestabil
  16. 16
    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 %)
  17. 17
    AktivQuelle öffnen ↗

    In-depth tutorials on LLMs, RAGs and real-world AI agent applications.

    githubRessourcegemessenes Wachstum
    37 263GitHub-Sterne+33 (+0.09 %)
  18. 18
    RuhendQuelle öffnen ↗

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

    githubRessourcegemessenes Wachstum
    0GitHub-Sternestabil