// agents · langchain-ai/langgraph

Langgraph

Langgraph es un proyecto de agentes de IA de código abierto de langchain-ai (langchain-ai/langgraph en GitHub). Tiene 42.672 estrellas en GitHub y 7.236 bifurcaciones, se publica bajo la licencia MIT y se actualizó por última vez en GitHub el 3 de octubre de 2026.

Build resilient agents

★ 42,7k estrellas⑂ 7,2k bifurcacionesMITactualizado oct 2026

Ver en GitHub ↗Official site ↗

▦ visual: el README de este proyecto no incluye ninguna captura incrustable,
así que aquí va un marcador. La guía de abajo está completa de todos modos.

// datos del proyecto

Datos del proyecto

Repositorio: langchain-ai/langgraph
Estrellas en GitHub: 42.672
Bifurcaciones: 7.236
Licencia: MIT
Última actualización en GitHub: 3 de octubre de 2026
Categoría: Agentes de IA
Tipo de ficha: Guía de instalación completa
Sitio oficial: Official site

// cómo funciona

Cómo funciona

Pick a framework
Application frameworks, agent runtimes, or voice stacks — choose by whether you are building apps, automations, or realtime voice.
Install the SDK
Python or TypeScript packages install with one command; most include quickstart templates.
Define tools and memory
Give the agent functions it can call and a memory layer so it stays coherent across sessions.
Run and observe
Launch the agent, watch its tool calls and reasoning traces, and iterate on prompts and tools.

// características

Por qué gusta tanto

Tool use & function calling

Agents act on the world: APIs, databases, browsers, and shell commands.

Multi-agent orchestration

Crews and graphs of specialized agents collaborating on complex tasks.

Memory systems

Short and long-term memory so agents improve across sessions.

Observability

Traces of every decision and tool call — essential for debugging.

Voice & realtime

Low-latency stacks for conversational voice agents.

Model agnostic

Swap underlying LLMs without rewriting your agent logic.

// ejecútalo

Ejecútalo tú mismo

Step 1 — Clone the repo
Download the source and move into the project folder.
```
git clone https://github.com/langchain-ai/langgraph.git
cd langgraph
```
Step 2 — Create an environment
Isolate dependencies so nothing clashes with your other projects.
```
python -m venv .venv
source .venv/bin/activate  # Windows: .venv\Scripts\activate
```
Step 3 — Install and launch
Install the requirements, then follow the README's launch command (it varies per project).
```
pip install -r requirements.txt
```

// casos de uso

Qué puedes crear

Research assistants that browse and summarize.
Coding agents that edit, test, and PR.
Support agents with real tool access.
Voice agents for calls and meetings.

// preguntas frecuentes

Preguntas frecuentes

Framework or finished agent?

Frameworks build your own; some repos here ship ready-made agents you can run directly.

Do agents need big models?

Tool-calling quality matters more than raw size — strong mid-size models work well.

Who maintains Langgraph?

It is an open-source project at langchain-ai/langgraph with 7,236 forks. Check the repo's contributors and recent commits to see how active maintenance is.

How do I keep agents safe?

Sandbox tool access, confirm destructive actions, and review traces — treat agents like junior employees with supervision.

What does it cost to run?

Self-hosted frameworks are free; you pay only for model inference (local or API).

Where do I start?

Los demás proyectos de Agentes de IA con más estrellas del catálogo de LibreAI: la lista realista de alternativas si Langgraph no es lo que buscas.

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// más en agents

Más en Agentes de IA

Proyectos de Agentes de IA cercanos en el catálogo, los más próximos en estrellas a Langgraph: sigue explorando a ambos lados.

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AI Agent Assistant & development framework that integrates lots of IM platforms, LLMs, plugins and AI feature, and can be your openclaw alternative. ✨

Consigue Langgraph

Gratis y abierto: consigue el código fuente, dale una estrella al repositorio y empieza a crear.

Ver en GitHub ↗← Más herramientas de Agentes de IA