A Node-Based Frontend for CrewAI: Revolutionizing AI Workflow Creation

Create a frontend using bolt.new with CrewAI API

This project is a robust and scalable multi-agent stock investment and analysis platform built using a Flask backend and a Next.js frontend, leveraging CrewAI for sophisticated multi-agent interactions.

A full-stack web application that automates the extraction of job postings from career websites and generates personalized cold emails using AI agents. Built with React frontend and FastAPI backend powered by CrewAI and LangChain.

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%.

A hands-on workshop template that demonstrates how to orchestrate CrewAI agents for planning, research, writing, and review workflows. The stack combines CrewAI with LangChain tools, a FAISS-backed Retrieval-Augmented Generation (RAG) pipeline, and a Streamlit frontend.

Frontend for CrewAI Rag Application

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

Multi-Agent Dynamic Builder is an AI-powered app that uses CrewAI, Azure OpenAI, and Streamlit to simulate a full software team. It features a Project Manager, System Architect, UI Developer, and Backend Developer who collaborate autonomously to analyze user requirements, design system architecture, and generate frontend and backend

No description available

A fully modular Agentic RAG Chatbot built using CrewAI , FastAPI , LlamaIndex , ChromaDB , and a Streamlit Frontend .

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

Production-grade multi-agent RAG platform for intelligent document processing. Features CrewAI orchestration, LangChain pipelines, ChromaDB vector store, and FastAPI backend with Next.js frontend.

A Cookiecutter template for rapidly building agentic startups. It provides a reusable skeleton that wires together CrewAI, FastAPI, and a React frontend with Shadcn UI components.

A multi-agent AI pipeline that researches, writes, and reviews technical content on any AI topic — powered by CrewAI + Gemini 2.5 Flash, with a polished Gradio frontend.

FinSphere AI is a state-of-the-art, multi-agent financial analysis platform. Built with CrewAI, FastAPI, and a high-performance React frontend, it transforms raw corporate PDF reports into structured, strategic intelligence.

🧠 crew-air-analyzer — An intelligent multi-agent system for analyzing and reporting indoor air quality using AI, built with FastAPI and CrewAI on the backend and a sleek Next.js + Tailwind frontend.

Welcome to EnginCrew, a cutting-edge project powered by crewAI . EnginCrew brings together a team of autonomous AI agents — engineering lead, backend engineer, frontend engineer, and test engineer — to design, build, and test software in a collaborative, human-like workflow.

An Agentic RAG-based AI chatbot that uses CrewAI agents, Groq LLM, and LlamaIndex-powered retrieval from ChromaDB to answer class 12 Biology queries, along with top 3 YouTube video suggestions. Built with FastAPI, Streamlit, and Docker for seamless backend, frontend, and deployment integration.

Autonomous AI Engineering Team Orchestration Platform - Multi-agent AI system with 4 specialized agents (Engineering Lead, Backend Engineer, Frontend Engineer, Test Engineer) that collaboratively design, develop, test, and deploy complete software systems from requirements to production-ready code. Powered by CrewAI framework with GPT-4o and Claude

CrewAI is an advanced AI-powered application designed to integrate natural language processing, emotion detection, and speech recognition capabilities into a seamless user experience. Built using Python - Flask framework -, as well as a frontend written in react, it leverages technologies such as generative AI models, facial emotion analysis etc.

This project is an ATS Resume Agent that optimizes resumes for Applicant Tracking Systems. It uses Flask + CrewAI backend to clean, rewrite, and evaluate resumes against job descriptions, and a Next.js frontend to present polished resumes, ATS scores, missing keywords, and actionable recommendations in a user-friendly interface.

This project utilizes CrewAI to create a multi-agent system that simulates a software development team tasked with building a trading simulation platform. The crew consists of four specialized agents: an Engineering Lead, a Frontend Engineer, a Backend Engineer, and a Test Engineer. Objective - trying to buy and sell shares autonomously.

Frontend for CrewAI

No description available

No description available

No description available

No description available

No description available

No description available