ContextNet: Real-Time Multi-Agent Collaboration Framework Traditional multi-agent AI systems are painfully slow and sequential - agents can't see what others are doing, causing duplicated work and long wait times. ContextNet solves this with MongoDB-powered real-time context sharing that enables AI agents to work in parallel. Our system demonstrates this with five agents collaborating to plan events: while ThemeAgent sets parameters, PartnerAgent, VenueAgent, JudgeAgent, and FoodAgent work simultaneously using shared context. Built on MongoDB Change Streams for instant updates and featuring a live React dashboard, ContextNet transforms how AI agents collaborate - eliminating bottlenecks, reducing costs, and providing unprecedented visibility into multi-agent decision-making for complex workflows.
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