May the agents talk . Connect Claude Code, Opencode, Codex, Antigravity, Pi across projects, across machines and with your telegram
Multi-agent AI assistant platform with specialized agents for coding, finance, news, real estate, travel, image generation, and shopping.
Observability and influence tracing infrastructure for multi-agent AI systems.
AOS Agent is an open-source, multi-agent AI system that acts as your extended cognitive partner, featuring structured memory, specialized agents, and deep integration with various softwares via MCP.
Multi-agent AI assistant for ICU clinical teams, retrieves evidence from medical literature, analyses chest X-rays, brain MRIs & skin lesions, and answers clinical questions using RAG, LangGraph, and GPT-4o.
This system orchestrates multiple AI agents working together in a structured pipeline to generate comprehensive research reports on any topic.
AI-powered interview transcript analysis platform built with FastAPI, LangGraph, and Next.js 15. Transform interview transcripts into actionable insights using Claude AI with timeline extraction, entity recognition, and sentiment analysis.
AI-powered multi-agent clinical decision support system built with Azure OpenAI, Semantic Kernel, RAG, and FHIR — enabling intelligent diagnosis, treatment planning, and healthcare workflow automation
🔥 CollabForge - AI-Powered Collaborative Web Application Generator. Transform ideas into deployed web applications through advanced multi-agent AI collaboration powered by Google Cloud ADK. Built for the Google Cloud ADK Hackathon.
Production-Grade Multi-Agent Therapeutic AI Platform | 17 Microservices | 100% Crisis Detection | HIPAA Compliant
🤖 LangGraph multi-agent AI system — 16-agent hierarchy (CEO/CTO/CFO + 6 domain directors + 7 execution specialists) with real-time dashboard, artifact pipeline, and SocketIO chat
Global disaster intelligence platform. Real-time compound event detection with 12 specialist agents. Earthquakes, floods, wildfires, storms, cascading disasters.
SiliconSoap is a cool new way to watch AI agents talk to each other. We make open-source AIs and the newest, most advanced AIs battle it out in exciting, planned conversations. Get ready for AIs with strong personalities, powerful speeches, and quick comebacks. We also add AI-made pictures and sounds to make it even more fun to watch. It's like ...
The RAG Playbook is a practical guide and starter kit for Retrieval-Augmented Generation (RAG). It covers fundamentals, advanced patterns, and production best practices with code, case studies, and demos—helping learners and professionals build reliable, business-ready RAG systems.
Autonomous Multi-Agent Customer Support System with AI
Multi-agent SwarmBench benchmark for financial audit decomposition on Superstore dataset using fan-out–synthesize architecture.
Multi-agent AI system that helps you think through complex decisions. Built with LangGraph.
Multi-agent AI system for warehouse monitoring using YOLOv8, Google Cloud & AWS
Add a description, image, and links to the multi-agent-ai topic page so that developers can more easily learn about it.
To associate your repository with the multi-agent-ai topic, visit your repo's landing page and select "manage topics."