Agentes de IA
archestra
Archestra: the enterprise AI platform — chat UI, LLM gateway, and MCP gateway with guardrails
★ 4,4 mil estrelasNOASSERTION
Ver o guia →LibreAI / Agentes de IA / Guardrails
// agents · NVIDIA-NeMo/Guardrails
Guardrails
Guardrails é um projeto de agentes de IA de código aberto de NVIDIA-NeMo (NVIDIA-NeMo/Guardrails no GitHub). Tem 7.264 estrelas no GitHub e 865 forks, é publicado sob a licença NOASSERTION e foi atualizado pela última vez no GitHub em 7 de outubro de 2026.
Programmable guardrails to keep LLM systems safe and on rails.
★ 7,3 mil estrelas⑂ 865 forksNOASSERTIONatualizado out 2026
▦ visual: o README deste projeto não inclui nenhuma captura incorporável,
então aqui vai um marcador. O guia abaixo está completo mesmo assim.
então aqui vai um marcador. O guia abaixo está completo mesmo assim.
// dados do projeto
Dados do projeto
- Repositório
- NVIDIA-NeMo/Guardrails
- Estrelas no GitHub
- 7.264
- Forks
- 865
- Licença
- NOASSERTION
- Última atualização no GitHub
- 7 de outubro de 2026
- Categoria
- Agentes de IA
- Tipo de ficha
- Guia de instalação completo
- Site oficial
- Official site
// como funciona
Como funciona
- Define the job
Write down the task or workflow you want the agent to handle.
- Get the code
Clone the repository and read the README's prerequisites.
- Set up your environment
Install dependencies and configure keys or endpoints.
- Try the quickstart
Run the sample script and check the output against the docs.
// recursos
Por que as pessoas gostam tanto
Programmable rails
Define behavior rules in config.
Input/output checks
Validate both sides of the conversation.
Topical guardrails
Keep agents on permitted subjects.
NVIDIA-backed
From the NeMo team.
Conversational focus
Built for dialogue systems.
Active development
Pushed in October 2026.
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// 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/NVIDIA-NeMo/Guardrails.git cd Guardrails - Step 2 - Install dependencies
Create a virtual environment and install the requirements.
python -m venv .venv && source .venv/bin/activate pip install -r requirements.txt - Step 3 - Run an example
Treat these as starting points - the README documents the exact commands.
python examples/quickstart.py
// casos de uso
O que você pode criar
- Keep a customer chatbot on approved topics.
- Block disallowed content in agent outputs.
- Add safety checks to an internal copilot.
- Prototype compliance rails before launch.
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// perguntas frequentes
Perguntas frequentes
Who is behind Guardrails?
The project lives at NVIDIA-NeMo/Guardrails and has attracted 865 forks. Browse its commit history and contributor list for a sense of maintenance pace.
Is Guardrails free to use?
GitHub does not assert a license for this repo, so treat the code as all rights reserved until the author adds one.
Do I need a paid API to use it?
The toolkit is free; only the models it guards might come from a paid provider.
Guardrails vs PyRIT?
Different jobs: Guardrails enforces runtime safety rules; PyRIT probes for vulnerabilities before deployment. Mature teams use both - test with PyRIT, enforce with Guardrails.
Where should I start?
The README and the official docs site are the fastest path: run the quickstart example first, then adapt it to your use case.
// continue explorando
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Baixe o Guardrails
Grátis e aberto: pegue o código-fonte, dê uma estrela no repositório e comece a criar.