Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks including CrewAI, Agno, OpenAI Agents SDK, Langchain, Autogen, AG2, and CamelAI

A simple yet powerful agent framework that delivers with open-source models

A Unified Virtual Filesystem For AI Agents

OpenTelemetry Instrumentation for AI Observability

Practical system design, tools, and hands-on resources for building Gen-AI agents & agentic AI systems.

Open-source runtime AI agent security tool - monitors and controls AI agents, catching malicious tool use, prompt injection, and policy drift in real time, before the agent acts.

Python and TypeScript SDKs for verifiable evidence of AI agent actions. Signed receipts, policy enforcement, audit trails. Works with LangChain, CrewAI, MCP.

An MCP extension package for OpenAI Agents SDK

🕷️ A lightweight Model Context Protocol (MCP) server that exposes Crawl4AI web scraping and crawling capabilities as tools for AI agents. Similar to Firecrawl's API but self-hosted and free. Perfect for integrating web scraping into your AI workflows with OpenAI Agents SDK, Cursor, Claude Code, and other MCP-compatible tools.

OpenAI Agents SDK in Node.js / TypeScript

[DEPRECATED] Moved to microsoft/agent-governance-toolkit

OWASP Foundation web repository

The Operating System for Scalable Enterprise AI Agents - Run, orchestrate, and deploy Compliant Enterprise AI Agents at scale across frameworks, without lock-in, rewrites or fragile glue code. Native support for MCP, A2A. Interface with all mainstream communication channels seamlessly out of the box, production ready from day one.

Stop trusting single AI outputs. An anti-hallucination framework with dual-brain arbitration, multi-model audit, and evidence chains for LLM quality control.

AI Agentic Trader

MIT license, Codex skill/plugin for source-first PowerPoint/PPTX generation: editable decks, style routing, data artifacts, and QA.

AgentOS is a lightweight, single-file implementation that provides a robust foundation for building autonomous AI agents. It implements the core concepts outlined in Karpathy's Agent OS architecture while maintaining simplicity and extensibility.

Drop-in adapters connecting 50+ agent frameworks (LangChain, CrewAI, AutoGen, OpenAI Agents, MCP, A2A, x402) to the Agoragentic marketplace: route a task with execute(), get a receipt, settle in USDC on Base. Monorepo + npm packages for MCP, Micro ECF, and local readiness tooling.

Complete educational guide with 100+ working code examples for building production-ready AI agents using the OpenAI Agents SDK. Learn to build and deploy scalable multi-agent systems in under 2 hours, going straight from 'Hello World' to enterprise deployment with Docker, Kubernetes, safety guardrails, and monitoring.

An AI-powered platform that uses an agentic workflow to automatically generate Project Requirement Documents (PRDs).