AI Multi-Agent Framework in .NET

The .NET library to build AI agents with 25+ built-in connectors.

Deep Reinforcement Learning in C#

The purpose of this simulator is simulates and allows visualization of the evacuation process of people located in buildings during emergencies.

research - multi-agent car parking using reinforcement learning

Conflict Avoidant CBS (CA-CBS)

GenAI IT Ops Chat Solution

The MARS LIFE simulation engine

The AI Multi-Agent Framework in .NET

Real-time multi-agent pathfinding system with YOLO obstacle detection, dynamic map editing, and intelligent conflict resolution for autonomous vehicles.

A2A protocol integration leveraging dynamic Semantic Kernel functions and an Agent Card Repository for adaptive workflows.

University of Calgary CPSC565 2021 Group Project where we model a multi-agent system producing an emergent phenomenon based on the Tragedy of the Commons.

B2X - Multi-Agent Development Framework

Multi-agent coordination — heuristic traffic navigation and deep learning for Soccer AI in Unity simulations

A sophisticated multi-agent cognitive architecture that coordinates specialized AI agents to solve complex tasks through intelligent orchestration, continuous performance optimization, and dynamic team assembly. The system autonomously creates new agents, refines their capabilities, and assembles task-specific teams to achieve optimal results.