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 conversation history and workflow state across multiple AI agent interactions without losing context when processes restart or scale
- The platform runs directly on your current servers and cloud setup, so you don't need to migrate or rebuild your existing infrastructure stack
- Multiple AI agents can work together on complex tasks while sharing data and coordinating actions through Rivet's built-in networking layer
- Workflow progress and agent memory persist automatically even during system updates, crashes, or maintenance windows
- Built-in monitoring shows you exactly how your AI workflows perform across different locations and helps troubleshoot issues before they impact users
