PraisonAI 🦞 — Hire a 24/7 AI Workforce. Stop writing boilerplate and start shipping autonomous agents that research, plan, code, and execute tasks. Deployed in 5 lines of code with built-in memory, RAG, and support for 100+ LLMs.

✈️🌍 Production-Ready TripPlanner Multi-AI Agent Project: Transform your travel planning with AI-driven assistance! From discovering dream destinations, creating custom itineraries, exploring avenues of nature, to finding local attractions and beach spots 🔍💡—all powered by industry-ready AI tools. 🏨🌍

The purpose of the "Meta Agent with More Agents" project is to dynamically solve complex queries by breaking them down into smaller tasks and assigning each to specialized AI agents. The Meta Agent coordinates the process, leveraging a ReAct Agent for tool-based tasks and a Chain of Thought Agent for reasoning-based tasks. The system's flexibility.

Frame.AI is a collaborative AI agent system built with Google's ADK to perform intelligent, modular video segmentation.

🤖 The easiest way to use multiple AI services simultaneously in one screen

This project leverages a multi-agent AI system to assist users in tailoring their resumes and preparing for job interviews. By using advanced tools and AI agents, it ensures your resume highlights your most relevant skills and experiences, perfectly aligning with the job posting requirements.

Terminal-based platform where specialized AI experts (Legal, Tech, Business) engage in real-time debates and collaborative problem-solving to provide multi-perspective analysis for complex decisions.

A sophisticated multi-agent system designed to handle customer queries related to InfinitePay services through intelligent routing and specialized agent responses.

AI-m (AI-m Integrates Models) is a powerful multi-model AI platform that lets you interact with 12+ AI models side-by-side. Send a single prompt and instantly compare responses across different models — similar to T3 Chat and AI Fiesta, but built to be faster, smarter, and more secure.

A full-stack RAG demo you can run locally or deploy to a VPS: upload a PDF, build a per-browser vector index (FAISS), chat with an LLM using retrieved context. The UI is a React + TypeScript SPA; the API is FastAPI + LangChain with a multi-agent pipeline, Sentry tunneling, & sensible production defaults (CORS, rate limits, session disk cleanup)

Multiple AI Agents collaboration, Multi-Agent-Cooperation

Course by CrewAI and Deeplearning.AI

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