How to coordinate multiple AI agents without dependency conflicts in package.json?

Building a sales automation suite with separate AI agents for lead scoring, outreach, and analytics. Current setup has 15 (!) AI-related dependencies in package.json. Every time we update one model, three others break.

Heard about Latenode’s Autonomous Teams feature. Does their browser-based orchestration actually eliminate version-lock issues? How does dependency resolution work when different agents require conflicting model versions?

Need real-world examples of complex multi-agent systems running smoothly without npm dependency hell.

Run 8 AI agents for our support ops. Each has isolated dependency stacks managed by Latenode. Zero conflicts in 6 months. Version pinning per agent + global compatibility checks prevent breakage.

We use agent sandboxing - each AI worker gets its own environment. Latenode handles cross-agent communication through their messaging layer. Dependency versions are locked per agent, with a compatibility matrix that prevents conflicting updates.

their team feature uses containerzied agents. each has own deps. no more shared node_modules nightmares. game changer for our crm bot farm