NVIDIA NeMo Agent Toolkit
Adds intelligence to AI agents across any framework, enhancing speed, accuracy, and decision-making through enterprise-grade instrumentation, observability, and continuous learning.
Yao Meta Skill
Engineering, evaluating, governing, and packaging repeatable workflows as portable agent skills.
Arize Phoenix
Open-source AI observability platform for tracing, evaluating, and troubleshooting LLM applications.
ControlKeel
Turns engineering habits into enforceable policy gates, persistent evidence, and reusable memory for coding agents.
RAMPART
A pytest-native safety and security testing framework that brings adversarial and benign-failure coverage to agentic AI apps in your existing test workflow.
Agent Skills for Context Engineering
A comprehensive open collection of skills for context engineering, multi-agent architectures, and production agent systems.
RagaAI Catalyst
A Python SDK for evaluating, tracing, debugging, and safety-testing LLM and multi-agent applications.
AI Agents — The Definitive Guide (Companion Code)
Official companion repository for the O'Reilly book 'AI Agents - The Definitive Guide', with twelve chapters of runnable Jupyter notebooks covering everything from LLMs to production-grade agents.
Rogue — AI Agent Evaluator & Red Team Platform
Stress-test your AI agents before attackers do, with automated evaluation and red teaming.
Judgeval
The continuous-improvement stack for agents — detect failures, triage root causes, and ship fixes backed by production data.
IntellAgent: Simulate, Analyze, and Optimize Conversational Agents
Uncover your agent's blind spots through realistic synthetic interactions, diagnose performance gaps, and optimize for reliable deployment.
AI System Design Guide
A living reference for production AI systems, covering RAG, LLM engineering, agentic AI, and interview prep.
BISHENG Enterprise LLM DevOps Platform
An open-source platform for building and operating enterprise-grade LLM applications, with workflow orchestration, RAG, agents, model management, and fine-tuning.