Using Strands Agents to create a multi-agent solution with Meta’s Llama 4 and Amazon Bedrock

Multi-agent solutions, in which networks of agents collaborate, coordinate, and reason together, are changing how we approach real-world challenges. Enterprises manage environments with multiple data sources, changing goals, and various constraints. This is where multi-agent architectures shine. By empowering multiple agents that each have specialized tools, memory, or perspectives to interact and reason as a collective, organizations unlock powerful new capabilities:

• Scalability – Multi-agent frameworks handle tasks of growing complexity, distributing workload intelligently and adapting to scale in real time.
• Resilience – When agents work together, failure in one can be compensated or mitigated by others, creating robust, fault-tolerant systems.
• Specialization – Individual agents excel in specific domains (such as finance, data transformation, and user support) yet can seamlessly cooperate to solve cross-disciplinary problems.
• Dynamic problem solving – Multi-agent systems can rapidly reconfigure, pivot, and respond to change, which is essential in volatile business, security, and operations environments.

Recent launches in agentic AI frameworks ...