Le descrizioni degli strumenti sono in inglese.
RAG e ricerca
Recupero, database vettoriali, embedding e ricerca semantica.
Utilizzo
Attività
Ordina per
141
Classifica degli strumenti
Classifica mista: la crescita misurata ha la precedenza. I valori grezzi mantengono la propria finestra; una variazione richiede almeno due rilevazioni in 7 giorni.
- 1Attivo
The official Pinecone marketplace for Claude Code Plugins
githubcrescita misurataApri fonte ↗
Installa
/plugin marketplace add pinecone-io/pinecone-claude-code-plugin68stelle GitHubstabile - 2Attivo
Token-efficient code review knowledge graph: semantic search and call-graph resolution.
mcpcrescita misurataApri fonte ↗
Installa
claude mcp add better-code-review-graph -- uvx better-code-review-graph66stelle GitHubstabile - 3Attivo
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
githubcrescita misurataApri fonte ↗
66stelle GitHubstabile - 4Attivo
ruvnet-brain
MCPRuvNet 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),…
githubcrescita misurataApri fonte ↗
64stelle GitHubstabile - 5Attivo
Agent skills for LandingAI's Agentic Document Extraction (ADE) — production-ready document AI for agentic coding assistants
githubcrescita misurataApri fonte ↗
Installa
git clone https://github.com/landing-ai/ade-document-processing-skills ~/.claude/skills/ade-document-processing-skills64stelle GitHubstabile - 636 578stelle GitHub—
Risorse didattiche e di riferimento
Classifica per crescita misurata e normalizzata tra le fonti. Queste risorse restano accessibili separatamente e non partecipano alla classifica principale.
- 1AttivoApri fonte ↗
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
githubRisorsacrescita misurata46stelle GitHubstabile - 2AttivoApri fonte ↗
claude-wiki
SkillOfficial Claude Documentation - Converted to 2000+ Markdown Files - All documentation sourced from first party sources- 24 categories - refreshed daily, multi-agent orchestration
githubInstalla
Risorsacrescita misurata/plugin marketplace add johnzfitch/claude-wiki21stelle GitHubstabile - 3AttivoApri fonte ↗
Agentic_AI_Engineer
AgenteMy complete journey to becoming an Agentic AI Engineer through structured learning, projects, experiments, and production-ready implementations of modern AI systems.
githubRisorsacrescita misurata18stelle GitHubstabile - 4AttivoApri fonte ↗
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)
githubRisorsacrescita misurata3stelle GitHubstabile - 5AttivoApri fonte ↗
Curated Agentic AI resources: AI agent frameworks, tutorials, courses, projects, MCP tools, research papers, evaluation, security, and production guides.
githubRisorsacrescita misurata2stelle GitHubstabile - 6AttivoApri fonte ↗
ai-resources
AltroComprehensive collection of AI concepts, research findings, and practical implementations. From machine learning fundamentals to cutting-edge LLMs, agents, and emerging technologies.
githubRisorsacrescita misurata1stelle GitHubstabile - 7AttivoApri fonte ↗
Detect underpriced products by scraping deals and using AI models to estimate fair prices for profit opportunity identification.
githubRisorsacrescita misurata1stelle GitHubstabile - 8AttivoApri fonte ↗
Handbook técnico aberto sobre engenharia de IA em produção: ML tradicional, LLMs, RAG, agentes, segurança, observabilidade, FinOps e deployment.
githubRisorsacrescita misurata1stelle GitHubstabile - 9DormienteApri fonte ↗
Interactive roadmap for becoming an Agentic AI Engineer — 11 stages from Python & FastAPI to multi-agent systems, MCP, RAG, Docker, and context engineering
githubRisorsacrescita misurata1stelle GitHubstabile - 10DormienteApri fonte ↗
awesome-agents
Agente50+ AI agent apps you can actually run — MCP, A2A, LangGraph, SAP, RAG, and multi-agent patterns
githubRisorsacrescita misurata0stelle GitHubstabile