These tools provide a structured way to track and synchronize complex data flows across your application, ensuring your interface always reflects the current source of truth. They solve the challenge of fragmented updates by centralizing logic to reduce bugs and simplify data propagation. When selecting a solution, prioritize how well the performance overhead aligns with your scale and whether the architectural patterns match the existing complexity of your code.

The platform for building stateful AI

Add durable, inspectable state to your AI agents

A deterministic runtime for safe, controllable AI agents

Stop AI agents from silently corrupting shared state

Persistent runtime for long-running AI systems

Local-first state for apps built by coding agents

Zero-Trust Event-Sourced World Model for Multi-LLM Agents

A protocol for AI to observe and interact with app state