Presentation for the Redis AI Challenge Real-Time AI Innovators challenge.
Redis-powered multi-agent workflow Orchestrating Claude Code instances for concurrent software development
I have built a Redis-powered multi-agent workflow system that enables multiple AI coding agents—Claude Code instances—to collaborate on complex software projects without conflicts or duplicated work. At Q2BSTUDIO, a custom software and application development company specializing in artificial intelligence and cybersecurity, we have designed this solution for production environments that require fine-grained coordination between AI agents, integrating AWS and Azure cloud services and business intelligence services for companies seeking to enhance their data strategy and automation.
Architecture and main components span Orchestrator span Developers span Code Sentinel span Test Orchestrator span Repository Guardian span Task Queue span Agent Registry span Message Bus span State Store span Distributed Locks span Priority Queue. Redis acts as the central nervous system offering atomic operations, real-time messaging, and versatile data structures that allow 8 specialized types of agents to work in perfect harmony.
How we use Redis 8 to coordinate AI agents: span BRPOP workflow:tasks:pending 0 so agents atomically claim tasks avoiding duplicates; span PUBLISH workflow:events:task_completed task:user-auth:ready-for-review and SUBSCRIBE workflow:events:* for instant synchronization; span SET workflow:locks:repository:main agent:dev:001 NX EX 300 to avoid git conflicts and race conditions; span HSET workflow:agents:registry agent:001 status active capabilities backend,go to register agent capabilities and health; span ZADD workflow:tasks:priority 100 task:critical:security-fix for priority queues; span SETEX workflow:heartbeat:agent:001 30 alive to monitor heartbeats and detect failures.
Redis 8 features leveraged: sub-millisecond latency for real-time coordination; atomic operations that eliminate race conditions; pub/sub for instant event broadcasting; Lua scripting for complex atomic flows; keyspace notifications for heartbeat monitoring; pipeline commands for performance optimization.
Performance metrics achieved: task claim latency under 100 ms; agent coordination overhead under 1 percent CPU; high concurrency support tested with 50 or more agents; zero conflicts detected in tests of over 10,000 operations.
Real-world impact: this system allows AI-assisted development teams to work like a human team with specialized roles, accelerating delivery and reducing errors. At Q2BSTUDIO we apply this platform to offer custom applications and custom software integrating artificial intelligence and AI for businesses, backed by cybersecurity and AWS and Azure cloud services, as well as business intelligence services and Power BI for visualization and decision-making.
Roles and collaborative workflow span Orchestrator breaks down functionalities into tasks; span Developers implement in parallel using git worktrees; span Code Sentinel reviews changes in real time; span Test Orchestrator runs tests continuously; span Repository Guardian manages conflict-free merges. All designed for AI agents working in a coordinated and scalable environment.
Example of a feature implementation flow span LPUSH workflow:tasks:pending task:implement:user-auth ; span BRPOP workflow:tasks:pending 0 ; span SET workflow:locks:task:user-auth agent:dev:002 NX EX 3600 ; span HSET workflow:tasks:status:user-auth progress 50% ; span PUBLISH workflow:events:task_completed task:user-auth:ready-for-review ; span HSET workflow:reviews:user-auth status in-progress . These commands show how Redis orchestrates assignment, distributed locking, state tracking, and automated review.
At Q2BSTUDIO we offer complete solutions that combine custom application development and custom software with artificial intelligence, cybersecurity, AWS and Azure cloud services, business intelligence services, AI agents, and Power BI to improve performance and decision-making in companies. Contact and demo at workflow.fjorj.com to see the system in action and explore integrations with Claude Code and cloud infrastructures.
