Rivet — AI for General (Professional Services)

Building reliable AI agents requires managing complex state, handling crashes mid-workflow, and executing generated code safely without massive infrastructure overhead. Traditional container or virtual machine sandboxes often introduce heavy resource consumption and slow cold starts, making it difficult to scale applications that rely on persistent agent threads or multi-step reasoning. Rivet addresses these limitations by embedding lightweight actors directly inside your backend stack rather than isolating them in heavy separate containers. Each actor gets its own SQLite database backed by object storage, enabling fast writes and instant state recovery if a node goes down. For developers working with coding agents or chat systems, this architecture reduces memory usage and achieves fast cold starts. You can deploy Rivet using their managed cloud service, connect your own nodes, or self-host the open-source control plane on your infrastructure via a single binary. It integrates with languages like Node.js, Bun, Rust, and Effect, while providing front-end hooks for React and Next.js. While the platform offers powerful orchestration primitives and flexible deployment models, teams must evaluate the operational requirements of managing distributed actor logic and setting up the underlying storage buckets if they choose to self-host.