Multi-Agent Architecture Patterns

Multi-agent architectures distribute work across multiple LLM instances, each with its own context window. The critical insight: sub-agents exist primarily to isolate context, not to anthropomorphize role division.

Why Multi-Agent?

Context Bottleneck: Single agents fill context with history, documents, and tool outputs. Performance degrades via lost-in-middle effect and attention scarcity.

Token Economics:

Parallelization: Research tasks can search multiple sources simultaneously. Total time approaches longest subtask, not sum.

Architectural Patterns