Mejores herramientas de IA para grafos de conocimiento (2026)
Bases de datos de grafo, constructores de grafos de conocimiento, frameworks GraphRAG y sistemas de memoria para Agents. Dale a tu IA conocimiento estructurado y conectado.
Graphiti — Temporal AI Knowledge Graph by Zep
Build dynamic knowledge graphs from AI agent conversations. Graphiti tracks entity changes over time, resolves contradictions, and provides temporal-aware queries.
Graphiti — Real-Time Knowledge Graphs for AI Agents
Build real-time knowledge graphs for AI agents by Zep. Temporal awareness, entity extraction, community detection, and hybrid search. Production-ready. 24K+ stars.
LangGraph — Build Stateful AI Agents as Graphs
LangChain framework for building resilient, stateful AI agents as graphs. Supports cycles, branching, persistence, human-in-the-loop, and streaming. 28K+ stars.
DeepAgents — Multi-Step Agent Framework by LangChain
Agent harness built on LangGraph by the LangChain team. Features planning tools, filesystem backend, and sub-agent spawning for complex multi-step tasks like codebase refactoring. 16,500+ stars.
LangGraph — Stateful AI Agent Graphs by LangChain
Framework for building stateful, multi-actor AI agent applications as directed graphs. Supports cycles, branching, persistence, and human-in-the-loop patterns. By LangChain. 8,000+ stars.
LangGraph — Build Stateful AI Agent Workflows
Framework for building stateful, multi-step AI agent workflows as graphs. LangGraph enables cycles, branching, human-in-the-loop, and persistent state for complex agent systems.
Graphify — Repo Knowledge Graph + MCP
Graphify extracts docs/code into a knowledge graph and can install as an MCP/skill across Claude Code, Cursor, Codex, and Gemini CLI. Install via uv/pipx.
SwarmVault — Local-First LLM Wiki + Graph
SwarmVault turns docs/code/transcripts into a durable Markdown wiki plus a local knowledge graph for agents, with a 30-second `quickstart` CLI path.
langchain-mcp-adapters — MCP Tools in LangGraph
Use MCP servers inside LangChain/LangGraph by loading MCP tools into agents via MultiServerMCPClient, without writing one-off wrappers per server.
LightRAG — Graph-Enhanced Retrieval-Augmented Generation
LightRAG integrates knowledge graphs into the RAG pipeline, enabling both low-level entity retrieval and high-level thematic search for more accurate and context-rich LLM responses.
GitNexus — Zero-Server Code Intelligence Knowledge Graph
A client-side knowledge graph creator that turns any GitHub repository or ZIP file into an interactive visual graph with a built-in Graph RAG agent for code exploration.
DuckDB Graph Memory MCP — File-Backed Memory DB
DuckDB Graph Memory MCP is a fork of the MCP memory server that stores the knowledge graph in a DuckDB file for SQL queries and scaling beyond JSON.
nano-graphrag — Lightweight GraphRAG Implementation
A simple, hackable implementation of Microsoft GraphRAG that builds knowledge graphs from documents and uses graph-based retrieval for more accurate LLM question answering.
Cayley — Open-Source Graph Database Inspired by Google's Knowledge Graph
Cayley is an open-source graph database written in Go, inspired by the graph infrastructure behind Google's Knowledge Graph. It supports multiple storage backends and query languages for flexible graph traversal.
langchain_data_agent — NL2SQL Data Agent CLI
NL2SQL data agent with a CLI (`data-agent`) built on LangGraph/LangChain. Ask questions in English to get SQL + results, with per-source configs.
MCP Toolbox Python SDKs — Use Toolbox Tools in Apps
Python SDKs that load MCP Toolbox tools as callable functions/objects, with packages for core apps, Google ADK, LangChain/LangGraph, and LlamaIndex.
RedwoodJS — Full-Stack React Framework with GraphQL and Prisma
RedwoodJS is an opinionated full-stack JavaScript framework that combines React on the frontend with a GraphQL API and Prisma ORM on the backend, optimized for startups and rapid application development.
Inkscape — Professional Open Source Vector Graphics Editor
Inkscape is a free, open-source vector graphics editor that uses SVG as its native format. It provides tools for drawing, shape manipulation, text, clones, gradients, path operations, and extensions, serving as a full-featured alternative to Adobe Illustrator for designers, illustrators, and technical artists.
TerminusDB — Document Graph Database with Git-Like Versioning
TerminusDB is a document graph database that versions your data like Git. It stores JSON documents with graph relationships, enabling branch, merge, diff, and time-travel operations on your entire dataset.
Apache AGE — Graph Database Extension for PostgreSQL
Apache AGE (A Graph Extension) adds graph database capabilities to PostgreSQL. Query your existing Postgres data as a graph using openCypher while keeping full SQL compatibility.
URQL — Lightweight Extensible GraphQL Client for React and Beyond
URQL is a highly customizable and lightweight GraphQL client for JavaScript frameworks that prioritizes simplicity and extensibility through a modular exchange-based architecture.
Paper.js — The Swiss Army Knife of Vector Graphics Scripting
An open-source vector graphics scripting framework that runs on top of the HTML5 Canvas, offering a clean scene graph, powerful path manipulation, and PaperScript for concise creative coding.
Apollo Server — Production GraphQL Server for Node.js
Apollo Server is an open-source, spec-compliant GraphQL server that works with any Node.js HTTP framework. It provides schema-first development, built-in caching, federation support for microservices, and integrations with Express, Fastify, Koa, and serverless platforms.
DGL — Deep Graph Library for Scalable Graph Neural Networks
A high-performance framework for building graph neural networks on top of PyTorch, TensorFlow, or MXNet, designed for both research prototyping and production-scale graph learning.
Amp by Sourcegraph — Whole-Repo AI Coding Agent
Sourcegraph's Amp reads the entire repo's symbol graph before editing. Symbol-aware retrieval, no hallucinated imports, type-respecting refactors.
React Admin — Frontend Framework for Admin Panels on REST and GraphQL
React Admin is an open-source frontend framework for building admin interfaces and internal tools on top of REST or GraphQL APIs using React and Material Design components.
JanusGraph — Distributed Open-Source Graph Database
A scalable graph database optimized for storing and querying billions of vertices and edges, with pluggable storage backends and TinkerPop Gremlin query support.
React-Admin — Frontend Framework for Admin Apps on REST/GraphQL
A full-featured frontend framework for building single-page admin applications on top of REST or GraphQL APIs, using TypeScript, React, and Material Design.
PostGraphile — Instant GraphQL API from PostgreSQL
PostGraphile generates a high-performance, standards-compliant GraphQL API from your PostgreSQL database schema automatically. It uses database introspection to build a fully-featured API without writing resolvers.
MemoryGraph — Graph MCP Memory Server (pipx)
MemoryGraph is a graph-based MCP memory server for coding agents; verified 199★ and shows a pipx install + `claude mcp add` setup for Claude Code.
Los grafos son el nuevo contexto
Graphs Are the New Context
Vector embeddings dominated 2024-2025, but 2026 is the year of hybrid graph + vector systems. Knowledge graphs excel where vectors fall short: multi-hop reasoning, temporal relationships, and queries that span multiple documents. Agent State Graphs — LangGraph models AI agents as stateful graphs where nodes are tools or LLM calls and edges define control flow. Essential for building reliable multi-step agents.
Real-Time Knowledge Graphs — Graphiti builds temporal knowledge graphs from streaming data, letting agents remember "what happened when" across sessions. Perfect for personal assistants, CRM automation, and long-running AI applications. GraphRAG — Microsoft's GraphRAG extracts entities and relationships from documents to build structured knowledge graphs. Retrieval combines graph traversal with vector search for dramatically better accuracy on complex queries.
Code Intelligence — Codebase Memory MCP builds call graphs and type graphs from your codebase, giving AI coding agents deep structural understanding. Ask "what breaks if I rename this function?" and get an accurate answer based on actual graph traversal, not fuzzy text matching.
Vectors capture similarity; graphs capture relationships. The best AI systems use both.
Preguntas frecuentes
¿Cuál es la diferencia entre búsqueda vectorial y grafos de conocimiento?+
La búsqueda vectorial encuentra elementos similares a tu query (similitud semántica). Los grafos de conocimiento encuentran elementos conectados a tu query mediante relaciones definidas (recorrido estructural). Los vectores son ideales para "encuentra documentos sobre X"; los grafos son esenciales para "muéstrame a todas las personas que trabajaron con X en el proyecto Y". Los mejores sistemas modernos de IA combinan ambos — GraphRAG y enfoques similares extraen grafos durante la indexación y los consultan junto con los vectores.
¿Qué es LangGraph y cuándo usarlo?+
LangGraph es un framework para construir Agents de IA con estado modelados como grafos dirigidos. Los nodos son funciones (llamadas a LLM, herramientas, lógica de enrutamiento) y las aristas definen cómo fluye el estado entre ellos. Úsalo cuando necesites: workflows multi-paso fiables, flujo de control complejo (loops, condicionales, paralelismo), checkpointing y reanudación, o aprobaciones human-in-the-loop. Está listo para producción y lo usan grandes aplicaciones de IA.
¿Cómo añado memoria persistente a los Agents de IA?+
Para memoria de sesión: usa el estado integrado de tu framework de Agent (checkpoints de LangGraph, sesiones de Claude Agent SDK). Para memoria de largo plazo entre sesiones: usa herramientas de memoria dedicadas como Mem0 (semántica) o Graphiti (grafos temporales). Graphiti es particularmente potente porque captura no solo los hechos sino cuándo fueron verdaderos — permitiendo a los Agents razonar sobre el cambio a lo largo del tiempo.