#Multiagent-systems
Showing 26 of 26 repositories tagged #multiagent-systems, ranked by stars
Build AI Agents, Visually
Must-read Papers on LLM Agents.
The Open Source Memory Layer For Autonomous Agents
Build, run and scale AI agents like API and microservices - observable,auditable and identity-aware from day one.
DATAGEN: AI-driven multi-agent research assistant automating hypothesis generation, data analysis, and report writing.
A selection of state-of-the-art research materials on trajectory prediction
Building LLM-Enabled Multi Agent Applications from Scratch
Golang SDK for A2A Protocol
Benchmark for automated failure attributions in agentic systems (π ICML 2025 Spotlight)
The RoboCup Soccer Simulator Server
CASSIA: A Multi-Agent LLM-Based Single-Cell Cell Type Annotation Framework
Design Patterns for Multi Agents Frameworks Like Autogen, Langraph, Taskweaver,Crewai,etc
Aitino is a platform that allows for the creation of crews of AI Agents to help you automate tasks and solve complex problems.
Total War Battle simulator for AI research
Not just slides - delivery-ready talks
Multi-Agent Systems with Google's Agent Development Kit + A2A + MCP
OmniDaemon is a Universal Event-Driven Runtime for AI Agents, it's framework-agnostic, event-driven runtime that turns AI agents into production-grade, autonomous infrastructure services. It enables agents to listen, react, and collaborate across distributed systemsβbringing true event-driven intelligence to modern enterprise environments.
Ultimate AWS Data & AI Platform: Real-time flight delay predictions with complete DE, DS, MLOps, Web App & Multi-Agent LLM - All deployed via CDK self-mutating pipelines
HELIOS base is a sample implementation of the simulated soccer team for the RoboCup Soccer Simulation.
Multiagent hybrid simulator of road traffic in Qt/C++ and OpenStreetMap.
DocChat is an AI-powered Multi-Agent RAG system using Docling for structured document parsing and BM25 + vector search retrievers to retrieve fact-checked answers from PDFs, DOCX, and text files, preventing hallucinations. π
Panacea is a framework for building collaborative, intelligent multi agent AI systems. The framework provides a robust infrastructure for creating and managing multiple AI agents, and enables developers and organizations to build, deploy, and optimize AI agents that work well in dynamic, complex environments.
Multi-Agent System for Automated Penetration Testing (MASAPT)
A Multi-Agent based application which provides a comphrehensive financial/market analysis of any company
Microgrid Transactive Energy Smart Contract
Build your resume one and only once. An experimental project to use chatGPT multi-agent system to tailor content in your resume for any jobs.