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Guardrails AI

Appears in 6 awesome lists

Input/output validation framework for building reliable AI applications. Detects and mitigates risks through composable validators for PII, toxicity, prompt injection, and structured output validation. Features Guardrails Hub with 50+ pre-built validators. Apache 2.0 licensed.

Open github.comguardrails-ai/guardrails

Found in these lists

Awesome Ai Agents 2026

Section: AI Safety and Guardrails · Structural, type, quality guarantees for LLM outputs.

ActiveScore 74

Awesome AI Security Tools

Section: Scanners, Evals & Guardrails · 🟢 — Python framework for adding input/output guards, validators, structured-output controls, and Guardrails Hub checks to LLM applications. (Guardrails AI) · updated 2026-08-14); Related: NeMo Guardrails · LLM Guard

FreshScore 85

awesome-ChatGPT-repositories

Section: NLP · Adding guardrails to large language models.

FreshScore 87

Awesome Open Source AI

Section: 10. AI Safety, Alignment & Interpretability · Input/output validation framework for building reliable AI applications. Detects and mitigates risks through composable validators for PII, toxicity, prompt injection, and structured output validation. Features Guardrails Hub with 50+ pre-built validators. Apache 2.0 licensed.

FreshScore 89

Awesome Production Machine Learning

Section: Privacy and Safety · Guardrails is a package that lets a user add structure, type and quality guarantees to the outputs of large language models.

FreshScore 92

Awesome AI Agents: Tools, Resources, and Projects

Section: Repositories · Guardrails is a Python framework for building reliable AI applications, offering Input/Output Guards to detect and mitigate risks, along with structured data generation from large language models (LLMs) github | twitter

SlowScore 68

Opik

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(formerly known as pytorch-transformers and pytorch-pretrained-bert) provides state-of-the-art general-purpose architectures (BERT, GPT-2, RoBERTa, XLM, DistilBert, XLNet, CTRL...) for Natural Language Understanding (NLU) and Natural Language Generation (NLG) with over 32+ pretrained models in…

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Mem0

Mem0 is an intelligent memory layer for Large Language Models that enhances personalized AI experiences by retaining and utilizing contextual information across various applications. github | website | docs | discord | twitter | github profile | linkedin

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Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search,…

In 13 listsDetails

promptfoo

Test your prompts, models, RAGs. Evaluate and compare LLM outputs, catch regressions, and improve prompt quality. LLM evals for OpenAI/Azure GPT, Anthropic Claude, VertexAI Gemini, Ollama, Local & private models like Mistral/Mixtral/Llama with CI/CD

In 11 listsDetails

Semantic Kernel

Semantic Kernel is an SDK that integrates Large Language Models (LLMs) like OpenAI, Azure OpenAI, and Hugging Face with conventional programming languages like C#, Python, and Java. Semantic Kernel achieves this by allowing you to define plugins that can be chained together in just a few lines of…

In 11 listsDetails

OpenLLM

Production-grade platform for running any open-source LLMs as OpenAI-compatible API endpoints. Supports 50+ models with built-in streaming, batching, and auto-acceleration. Apache 2.0 licensed.

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Markstream

Multi-framework streaming Markdown renderer for AI chat interfaces, with incomplete Markdown handling, Mermaid, KaTeX, Shiki/Monaco code blocks, SSR, and packages for Vue, React, Svelte, and Angular.

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