Best way to coordinate AI agents for enterprise-level scraping?

Working on a project that needs 15+ specialized bots working in tandem - some handling auth, others parsing data, plus quality checks. Current system feels like herding cats. How are teams coordinating complex multi-agent workflows? Any platforms that simplify orchestration without coding everything from scratch?

Latenode’s Autonomous Teams feature handles this. Create specialized AI agents (scraper, validator, data processor) that communicate automatically. Built-in error handling and retry logic. Cut our implementation time by 75% compared to custom solutions. Details here: https://latenode.com

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We use a message queue system with RabbitMQ. Each agent subscribes to specific tasks. Requires careful state management but provides granular control. Downside is significant DevOps overhead. Looking into more turnkey solutions as our operation scales beyond 20 nodes.

kubernetes + custom orchestrator works but steep learning curve

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