Agentes de IA
deepeval
Unit tests for LLMs — evaluate before you ship.
★ 18,7k estrellasApache-2.0
Ver la guía →guardrails es un proyecto de agentes de IA de código abierto de guardrails-ai (guardrails-ai/guardrails en GitHub). Tiene 7.496 estrellas en GitHub y 715 bifurcaciones, se publica bajo la licencia Apache-2.0 y se actualizó por última vez en GitHub el 6 de octubre de 2026.
Put guardrails on LLMs: validate outputs before they reach users.
Write down the outcome you want in one sentence.
Clone it locally and check the README.
Get dependencies and tooling in place per the docs.
Follow the minimal example, then adapt it to your needs.
Check LLM output against your rules.
Express constraints declaratively.
Re-ask when the model strays.
Enforce schemas, not hopes.
Catch disallowed content pre-send.
Fits the standard LLM stack.
Download the source and move into the project folder.
git clone https://github.com/guardrails-ai/guardrails.git
cd guardrailsIsolate dependencies, then install requirements.
python -m venv .venv && source .venv/bin/activate
pip install -r requirements.txtLaunch using the entry point shown in the README.
python -m guardrails # check README for the exact commandIt is an open-source project at guardrails-ai/guardrails with 715 forks. Check the contributors tab and recent commits to judge how active maintenance is.
Yes — Apache 2.0 allows commercial use and modification. Keep the license and notice files, and note it includes a patent grant.
You define rules for LLM outputs; the framework validates and retries or corrects when outputs break them.
Validation adds some latency — the trade-off for safer outputs. Measure it for your use case.
Clone the repo and follow the README quickstart — the docs at https://www.guardrailsai.com/docs walk through setup.
Unit tests for LLMs — evaluate before you ship.
Terminal security that stops malicious prompts, URLs, and payloads before they run.
Detect prompt injections and jailbreaks before they hit your LLM.
Programmable guardrails to keep LLM systems safe and on rails.
Fast, best-practice evaluations for AI model outputs.
Scan AI models for serialization attacks before you load them.
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.
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Proyectos de Agentes de IA cercanos en el catálogo, los más próximos en estrellas a guardrails: sigue explorando a ambos lados.
Reef — infrastructure for continually self-improving agents: weight-training and harness-evolving deployments.
OpenTelemetry-native observability for LLM apps.
Honcho — Plastic Labs' memory library for stateful agents that learn about their users over time.
Programmable guardrails to keep LLM systems safe and on rails.
A batteries-included browser API so agents can automate the web.
Voyager — the open-ended embodied Minecraft agent that writes its own skills and keeps learning for life.
Gratis y abierto: consigue el código fuente, dale una estrella al repositorio y empieza a crear.