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 automatically save and restore your AI agent's memory between conversations, so agents remember past interactions and can pick up where they left off
- The stateful runtime keeps all your agent's data, conversation history, and learned context intact even when sessions end or servers restart
- Built-in persistence means your agents maintain their knowledge and relationships across multiple user sessions without losing important information
- The actor system handles state management behind the scenes, letting you focus on building smart agents instead of worrying about data storage
- Global edge performance ensures your agents can access their stored context quickly from anywhere, maintaining consistent behavior across all user interactions
