This task can be performed using Rivet
Rivet Actors: Durable, collaborative infrastructure for serious AI agents.
Best product for this task
Rivet
dev-tools
Rivet provides stateful actors and agent runtimes that keep context, persistence, and networking together for AI agents, workflows, and collaborative experiences, running on your existing infrastructure with global edge performance and built-in observability.
What to expect from an ideal product
- Rivet Actors maintain persistent state across global edge locations, ensuring your AI agents remember context and continue conversations seamlessly regardless of where users connect from around the world
- Built-in monitoring tools track agent performance, response times, and system health in real-time across all deployment regions without requiring separate observability solutions
- Stateful actors automatically handle networking and data persistence together, eliminating the complexity of managing separate databases, message queues, and compute resources when scaling AI applications
- Edge runtime deployment reduces latency by running AI agents closer to users while maintaining consistent state synchronization across all global instances
- The platform integrates with existing infrastructure rather than forcing migration, allowing teams to scale their current AI applications globally without rebuilding from scratch
