The AWS Bedrock Multi-Agent Blueprint provides a modular framework to implement a multi-agent architecture on AWS Bedrock. It includes sample code for defining agent roles—planner, researcher, executor, and evaluator—that collaborate through shared message queues. Each agent can invoke different Bedrock models with custom prompts and pass intermediate outputs to subsequent agents. Built-in CloudWatch logging, error handling patterns, and support for synchronous or asynchronous execution demonstrate how to manage model selection, batch tasks, and end-to-end orchestration. Developers clone the repo, configure AWS IAM roles and Bedrock endpoints, then deploy via CloudFormation or CDK. The open-source design encourages extending roles, scaling agents across tasks, and integrating with S3, Lambda, and Step Functions.

CybMASDE enables researchers and developers to build, configure, and execute multi-agent simulations with deep reinforcement learning. Users can author custom scenarios, define agent roles and reward functions, and plug in standard or custom RL algorithms. The framework includes environment servers, networked agent interfaces, data collectors, and rendering utilities. It supports parallel training, real-time monitoring, and model checkpointing. CybMASDE’s modular architecture allows seamless integration of new agents, observation spaces, and training strategies, accelerating experimentation in cooperative control, swarm behavior, resource allocation, and other multi-agent use cases.