CellaFlow is a coordination and durability layer for multi-agent AI systems that prevents duplicate actions, token waste, and side effects when multiple agents access the same resources concurrently or after crashes. It uses idempotency scoping, deterministic caching, and durable execution replay with RocksDB to ensure only one agent executes an action while others receive the result, eliminating redundant API calls and payment duplication.