Async-first meta framework for building enterprise-grade multi-agent systems.
-
Updated
Feb 23, 2026 - Python
Async-first meta framework for building enterprise-grade multi-agent systems.
Automatos AI: Open-source platform for advanced context engineering and multi-agent orchestration in enterprise automation. Built on frontier research in RAG, vector embeddings, cognitive tools, emergent symbols, and neural field theory—powered by FastAPI, Next.js, and PostgreSQL.
Exploring and demonstrating OpenAI's Swarm framework
One-Click Legal-Swarm-Template
A Model Context Protocol (MCP) TypeScript template with multi agents that can send Emails, schedule meetings and answer knowledge-base related questions.
6 Claude Opus 4.6 AI agents built a complete Claude Cowork plugin in 5 minutes, then 6 more agents wrote 5,298 lines of documentation in 4 minutes. An educational showcase of Agent Team orchestration, task dependency management, and parallel AI coordination.
Arogya Wellness Assistant is an AI-powered health platform built with LangChain that uses multiple specialized agents to provide personalized guidance on symptoms, diet, fitness, and lifestyle.
A Model-Agnostic, Git-Sandboxed Multi-Agent Nexus MCP Server.
🤖 Showcase how six AI agents collaborate to build a full Claude Cowork content plugin in minutes using Agent Teams.
A series of notebooks exploring the capabilities of LangGraph for building agentic workflow, from ReAct Agents to Multi-Agent Orchestration with memory and human-in-the-loop
🚀 Fully automated HR onboarding with CrewAI agents + vision-based CUA browser automation | MS-FARA 7B + Playwright
Awareness layer for multiple distributed agents working on one repo
"🏥 Advanced Multi-Agent Autonomous Diagnostic System for X-ray, MRI, & CT analysis. Leverages Groq LPUs, Agno, & Llama 4 for grounded clinical reports. Features real-time research (RAG) & self-verification protocols to ensure medical safety. Full-stack FastAPI & Modern-UI architecture. Developed by Rashedul Albab."
Multi-agent terminal orchestration with test-driven convergence loops. Agents never see the tests only structured failure output. Hence, the only way to pass is to solve the actual problem. Pure bash, no runtime dependencies.
Multi-agent orchestration framework for Gemini CLI with IPC synchronization.
Investment research memory agent built with Mastra.ai and Mem0 featuring multi-agent orchestration, persistent vector memory, LLM-powered structured data extraction, and cross-sector pattern analysis.
Production ready LangGraph multi-agent orchestration template with supervisor routing, FastAPI + Streamlit chat UI, MCP tool calling, local RAG + knowledge graph retrieval, PostgreSQL memory, per-user auth, and CI/CD.
This project is a multi-agent research system built with the OpenAI Agents SDK and Streamlit that automates web searching and report generation. It uses a Triage Agent to plan, a Research Agent to gather facts, and an Editor Agent to write comprehensive, structured markdown reports.
Add a description, image, and links to the multi-agent-orchestration topic page so that developers can more easily learn about it.
To associate your repository with the multi-agent-orchestration topic, visit your repo's landing page and select "manage topics."