Agentes de IA
archestra
Archestra: the enterprise AI platform — chat UI, LLM gateway, and MCP gateway with guardrails
★ 4,4k estrellasNOASSERTION
Ver la guía →LibreAI / Agentes de IA / Guardrails
// agents · NVIDIA-NeMo/Guardrails
Guardrails
Guardrails es un proyecto de agentes de IA de código abierto de NVIDIA-NeMo (NVIDIA-NeMo/Guardrails en GitHub). Tiene 7.264 estrellas en GitHub y 865 bifurcaciones, se publica bajo la licencia NOASSERTION y se actualizó por última vez en GitHub el 7 de octubre de 2026.
Programmable guardrails to keep LLM systems safe and on rails.
★ 7,3k estrellas⑂ 865 bifurcacionesNOASSERTIONactualizado oct 2026
▦ 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.
así que aquí va un marcador. La guía de abajo está completa de todos modos.
// datos del proyecto
Datos del proyecto
- Repositorio
- NVIDIA-NeMo/Guardrails
- Estrellas en GitHub
- 7.264
- Bifurcaciones
- 865
- Licencia
- NOASSERTION
- Última actualización en GitHub
- 7 de octubre de 2026
- Categoría
- Agentes de IA
- Tipo de ficha
- Guía de instalación completa
- Sitio oficial
- Official site
// cómo funciona
Cómo 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.
// características
Por qué gusta 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.
Advertisement
// ejecútalo
Ejecútalo tú mismo
- 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
Qué puedes crear
- 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.
Advertisement
// preguntas frecuentes
Preguntas frecuentes
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.
// sigue explorando
Herramientas similares
Agentes de IA
ruby_llm
The Ruby-native AI framework. Chats, agents, tools, images, audio, and video through one consistent API, in plain Ruby or Rails.
★ 4,4k estrellasMIT
Ver la guía →Agentes de IA
openllmetry
OpenTelemetry-native observability for LLM apps.
★ 7,5k estrellasApache-2.0
Ver la guía →Agentes de IA
Data-Analysis-Agent
Chat with your data: an LLM agent that builds charts and business insights.
★ 2,6k estrellasCustom
Ver la guía →Agentes de IA
AiSOC
Open-source AI SOC — alert fusion, LLM triage, MITRE ATT&CK investigation and a replayable decision ledger
★ 2,4k estrellasMIT
Ver la guía →Agentes de IA
macos-harness
A minimal harness that lets an LLM fully control a Mac.
★ 902 estrellasMIT
Ver la guía →// alternativas
Alternativas en Agentes de IA
Los demás proyectos de Agentes de IA con más estrellas del catálogo de LibreAI: la lista realista de alternativas si Guardrails no es lo que buscas.
- openclaw★ 391,6k
A personal AI that really does things — on any OS, with your data staying yours.
- superpowers★ 294,9k
An agentic skills framework & software development methodology that works.
- ECC★ 275,2k
Agent harness optimization system with skills, memory and security for Claude Code, Codex and more
- hermes-agent★ 252,0k
The agent that grows with you — a Python framework for adaptive AI agents.
- deepseek-harness★ 245,5k
DeepSeek's plugin-based agent harness where everything is a plugin.
// más en agents
Más en Agentes de IA
Proyectos de Agentes de IA cercanos en el catálogo, los más próximos en estrellas a Guardrails: sigue explorando a ambos lados.
- openllmetry★ 7,5k
OpenTelemetry-native observability for LLM apps.
- Voyager★ 7,2k
Voyager — the open-ended embodied Minecraft agent that writes its own skills and keeps learning for life.
- guardrails★ 7,5k
Put guardrails on LLMs: validate outputs before they reach users.
- swarms★ 7,2k
The Enterprise-Grade Multi-Agent Orchestration Framework. Website: https://swarms.ai
- reef★ 7,5k
Reef — infrastructure for continually self-improving agents: weight-training and harness-evolving deployments.
- Product-Manager-Skills★ 7,2k
Product Management skills framework built on battle-tested methods for Claude Code, Cowork, Codex, and AI agents.
Consigue Guardrails
Gratis y abierto: consigue el código fuente, dale una estrella al repositorio y empieza a crear.