// agents · langchain-ai/langgraph

Langgraph

Langgraph é um projeto de agentes de IA de código aberto de langchain-ai (langchain-ai/langgraph no GitHub). Tem 42.672 estrelas no GitHub e 7.236 forks, é publicado sob a licença MIT e foi atualizado pela última vez no GitHub em 3 de outubro de 2026.

Build resilient agents

★ 42,7 mil estrelas⑂ 7,2 mil forksMITatualizado out 2026

Ver no GitHub ↗Official site ↗

▦ visual: o README deste projeto não inclui nenhuma captura incorporável,
então aqui vai um marcador. O guia abaixo está completo mesmo assim.

// dados do projeto

Dados do projeto

Repositório: langchain-ai/langgraph
Estrelas no GitHub: 42.672
Forks: 7.236
Licença: MIT
Última atualização no GitHub: 3 de outubro de 2026
Categoria: Agentes de IA
Tipo de ficha: Guia de instalação completo
Site oficial: Official site

// como funciona

Como 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.

// recursos

Por que as pessoas gostam 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.

// execute você mesmo

Execute você mesmo

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

O que você pode criar

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.

// perguntas frequentes

Perguntas frequentes

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?

Os outros projetos de Agentes de IA com mais estrelas no catálogo do LibreAI — a lista realista de alternativas se Langgraph não for o ideal para você.

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// mais em agents

Mais em Agentes de IA

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Baixe o Langgraph

Grátis e aberto: pegue o código-fonte, dê uma estrela no repositório e comece a criar.

Ver no GitHub ↗← Mais ferramentas de Agentes de IA