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What are real-world applications / use cases of multi-agent systems?

Real-world applications of multi-agent systems include complex software engineering workflows, customer operations and support resolution, financial close and reconciliation, multi-source research and due diligence, supply-chain exception handling, compliance...

What are the main components / architecture of a multi-agent system? (orchestrator, specialized agents, memory, communication protocols)

The main components of a multi-agent system are an orchestrator that plans and routes work, specialized agents that execute focused roles, memory layers that preserve short-term and long-term state, and communication protocols that enable structured, reliable handoffs...

When should you use a multi-agent system (vs a single agent)?

Use a multi-agent system when the work genuinely decomposes into specialized roles, contains independent subtasks that can run in parallel, exceeds a single reliable context window, or requires independent verification. Prefer a single agent for focused, linear,...

What are the challenges (or limitations) of multi-agent systems?

The main challenges of multi-agent systems are increased coordination overhead, higher token and latency costs, more complex debugging and observability, risk of cascading failures across agents, and greater demands on governance and engineering discipline compared...

How do agents communicate in a multi-agent system?

Agents in a multi-agent system communicate through structured, protocol-driven messages rather than free-form conversation. An orchestrator routes tasks, specialists exchange intermediate results via defined formats, and optional review agents validate outputs before...