Open-source protocol suite standardizing LLM, Vector, Graph, and Embedding infrastructure across LangChain, LlamaIndex, AutoGen, CrewAI, Semantic Kernel, and MCP. 3,330+ conformance tests. One protocol. Any framework. Any provider.

Setting up QA testing agents using playwright and crewAI

Regression testing for AI agents. Snapshot behavior,diff tool calls,catch regressions in CI. Works with LangGraph, CrewAI, OpenAI, Anthropic.

CrewNews is an AI news generator that delivers an unbiased version of the news for a given topic, using Streamlit for the GUI, Llama 3.1 as the LLM (inferenced via the AIML API), CrewAI for building AI agents, AgentOps for testing AI agents, and Exa & Firecrawl as tools

Multi-cloud, framwork-agnostic AI agent runtime for building, testing, and deploying production agents across OpenAI, CrewAI, LangGraph, and Google ADK. Deploy the same agent code to AWS or Azure with built-in session management, execution hooks, MCP/A2A support, guardrails, observability and fault tolerance.

AI-powered pipeline that transforms Cyber Threat Intelligence into actionable pentesting test cases using CrewAI and MITRE ATT&CK

Self-learning prompt injection detection engine — 25 input detectors (10 languages), 5 output scanners, PII redaction, red team self-testing, F1: 96.0% with 0% false positives. Docker, GitHub Action, pre-commit, FastAPI/Flask/Django/LangChain/CrewAI/Dify/n8n.

crewAI repo you can open in codespaces and test / fork to use in CodeSpaces / VSCode / elsewhere

6 AI agents collaborate to build complete web applications in minutes. CrewAI-powered software development team that generates FastAPI backends, responsive frontends, tests, and deployment configs - demonstrating 95% automation with human oversight for the final 5%.

This project is a bot that is made using CrewAI which analyses blood test report

Software Development LifeCycle (SDLC) Agents is a project that uses CrewAI to build end-to-end projects with code, tests and docs using Agents.

Hawkeye is an automated, agentic-based penetration testing tool powered by CrewAI and Google Gemini 1.5 Flash.

Generate complete, modular Python systems from plain-English requirements using CrewAI (multi-agent orchestration framework) + a minimal Gradio UI. Dynamic multi-module planning, code, app, and tests.

fast, smart, and highly configurable AI-driven PDF blood test analyzer that simulates expert consultations from doctors, nutritionists, and fitness coaches using LangChain, CrewAI, and Google Gemini 1.5 Flash LLMs.

Executable contracts for multi-agent AI coordination. Write contracts once in AL, transpile to Python/JavaScript/Go/Rust/C#. CrewAI, LangGraph, and AutoGen agents execute identical logic—deterministic behavior guaranteed. Production-ready Python (67/67 tests), 134/134 stdlib tests passing.

A demonstration project showing how to orchestrate a multi-agent “engineering team” using the crewai framework. This repo defines a crew of specialized agents (engineering lead, backend engineer, frontend engineer, test engineer) and a set of tasks (design, code, frontend, test) which are executed sequentially to satisfy a simple account-management

Interacting GPT4 AGI researcher AI agent and writer AI agent writing research about AGI research using CrewAI and Langchain

CrewAI test

This project automates unit testing. Make sure to have docker installed

Testing CrewAI and Serper.

AI-powered penetration testing tool using CrewAI with Human-in-the-loop design

Debugged blood test analyzer system with CrewAI, FastAPI, DB, and async processing

in this project we have tested 4 frameworks (CrewAI, LangGraph, DSPy, LangChain)

Modern full-stack platform for creating, testing, and deploying AI agents with CrewAI. Next.js + FastAPI + secure API deployment.

This project illustrates how CrewAI enables a software team to design and implement both backend and frontend systems, with comprehensive backend testing.

Multi-agent software engineering team powered by crewAI — autonomously designs, builds, tests, and ships Python applications from natural-language requirements

pytest for multi-agent systems. Test agent handoffs, prevent infinite loops, and catch coordination bugs before deployment. Supports LangGraph, CrewAI and AutoGen.

A pytest-based framework for testing multi AI agents systems. It provides a flexible and extensible platform for complex multi-agent simulations. Supports many integrations like LiteLLM, CrewAI, LangChain etc.

An AI-powered engineering crew that turns natural language requirements into a designed backend module, implementation, Gradio UI, and unit tests — built with CrewAI

Estudos da Pós de IA. Scripts Python, implementações de RAG (usando LangChain ou Semantic Kernel), fluxos de Agentes (CrewAI/Autogen) e testes com Ollama.