Walrus Memory removes the lock-in of tool-specific memory systems, allowing context created in one AI coding assistant to be recalled immediately by a completely different agent without any re-setup.
The workflow demonstrates a concrete, cost-aware approach to composing multiple frontier models by phase — using each model where it outperforms the other — rather than relying on a single model for the entire development pipeline.