Cognition argues multi-agent architectures are fragile and proposes context-sharing principles
Original titleDon’t Build Multi-Agents
AISummary
Cognition argues that parallel multi-agent architectures are fragile because subagents act on conflicting, unshared assumptions.
It proposes two principles for reliable agents: share context and full agent traces, and treat actions as carrying implicit decisions.
The post recommends simpler single-threaded designs for most cases and notes that context compression and fine-tuned models can extend long-running tasks.
AIWhy it matters
The post explains concrete failure modes of parallel multi-agent setups and offers two context-sharing principles, useful for anyone designing long-running agent systems.
Source: Cognition Blog (Devin, Windsurf) · cognition.comPublished · added here