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Basic Information

RivetKit is an open-source TypeScript library for building long-lived, stateful serverless processes called Rivet Actors. It is billed as an open-source alternative to Durable Objects and is designed to be self-hostable and run on diverse infrastructure. The library gives developers primitives to define actor state, actions, and events while providing server and client tooling to create, call, and manage actors with type safety. The README includes a quickstart that shows installing @rivetkit/actor, defining actors with durable state and broadcastable events, and wiring a server using Hono. The repository also contains multiple examples such as AI agent, chat room, multiplayer game, local-first sync, rate limiter, per-user database, and multi-tenant SaaS to demonstrate common use cases across Node.js, Bun, Redis, and Cloudflare Workers.

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Features
RivetKit emphasizes long-lived stateful compute with no forced timeouts, durable state persistence, and realtime capabilities including built-in WebSockets and SSE. It aims for low-latency by storing state near compute and supports edge deployment. The library advertises fast reads and writes, automatic scaling from zero to high traffic, and fault tolerance with automatic error handling and recovery. Supported drivers and storage options in the README include Redis, file system, and memory, with Postgres listed as a planned integration. Integrations and clients include React, Next.js, Hono, Express, tRPC, TypeScript/JavaScript clients, and a Rust client. The project also documents hosting and runtime options, a local Studio for live state inspection and REPL, and example apps to showcase patterns like CRDT sync and stream processing.
Use Cases
RivetKit helps developers build realtime, stateful applications without managing the full complexity of stateful infrastructure. It makes actions and state durable and accessible with simple APIs and type-safe calls, and it supports broadcasting events to connected clients for realtime UX. The Studio enables local development workflows such as live state inspection, a REPL for debugging actor code, connection inspection, and hot reload to iterate quickly. Deployments can target various runtimes and storage drivers so teams can self-host or use edge providers, and the included examples accelerate building common patterns like chat, multiplayer games, AI agents, and multi-tenant SaaS. The combination of drivers, integrations, and scaling behavior is intended to reduce operational burden for building stateful serverless systems.

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