StreamFlow is a distributed platform for building resilient, event-driven AI systems, capable of running hundreds of thousands of agents with ultra-low latency and built-in failover.
To build intelligent, real-time systems today, you need to combine multiple tools:
It works. But it's fragmented, hard to maintain, and difficult to scale.
StreamFlow brings everything together into a single platform:
Event-driven processing
Agent orchestration
Tool integration
Distributed resilience
All designed to work in real time.
Run 100,000+ agents concurrently
Process events in real time
Execute intelligent decisions continuously
Scale automatically with elastic partitioning
Recover instantly from failures
Replicate state across regions
Apache Kafka clients compatible
Support for multiple source & sink connectors
StreamFlow combines:
Real-time coordination of global logistics and operations
Continuous monitoring and self-healing systems
Real-time decision-making at scale
Autonomous infrastructure management
Threat detection and automated incident response in real time
Intelligent coordination of urban systems and IoT networks
Systems that process data
Systems that continuously think and act on events
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