redis-coordinator

Redis-backed coordination orchestrates parallel and sequential agent execution, manages task state and progress monitoring, and collects consensus decisions across agents. The Skill provides a command-line interface to initialize Redis contexts, spawn agents, track their completion, and aggregate results into a shared consensus layer.

Yes. Redis coordination supports long-running CFN workflows by maintaining persistent task context, agent registration, and consensus data in Redis. It handles task authentication, progress monitoring, and failure tolerance across docker-based agents, enabling reliable orchestration of extended asynchronous processes.

The Skill includes typed errors for coordination failures, input validation for task and agent IDs, and constraint enforcement. These mechanisms catch failures during agent spawning, state synchronization, and consensus collection, enabling you to diagnose and recover from coordination breakdowns.

Redis coordination supports three mode configurations—MVP, Standard, and Enterprise—each tuned for different scale and complexity requirements. You select the mode via command-line parameters when initializing the coordinator, adjusting parallelism, gate checks, and failure tolerance accordingly.

Redis coordination excels when you need fast, in-memory state persistence for real-time agent tracking, consensus collection, and gate checks across distributed tasks. It suits scenarios requiring low-latency reads of shared agent status and rapid consensus updates, particularly in CFN Loop implementations.

You need a running Redis instance, docker-based agents ready to spawn, and defined CFN Loop task workflows. The Skill handles initialization and context setup; you provide task definitions, agent images, and consensus rules via the command-line orchestration interface.