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Basic Information

Rivet Engine is an open-source runtime and control plane for running Rivet Actors, providing long-lived processes with durable state, realtime connections, and scalable execution as an alternative to Durable Objects. The repository is aimed at developers building stateful, real-time applications and backends such as AI agents, chat rooms, multiplayer games, stream processors, per-user databases, rate limiters, and multi-tenant SaaS. It sits alongside companion projects including a TypeScript SDK for actors, a studio UI for testing, a hub UI, an orchestrator service, a routing proxy, and documentation. The README highlights quickstarts for Node.js, Bun, and React, lists multiple example applications, and notes that self-hosting is a work in progress with enterprise deployment options.

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4176
App URL
https://github.com/rivet-gg/rivet
Github Repository
https://github.com/rivet-gg/rivet/blob/main/README.md

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App Details

Features
Rivet provides long-lived, stateful compute with memory and no timeouts, and stores state on the same machine as compute for low-latency reads and writes. It includes built-in realtime primitives such as WebSockets and server-sent events, supports edge deployment to keep data near users, and offers automatic autoscaling from zero to large scale without configuration. The platform is fault tolerant with automatic error handling and recovery. The repository ecosystem includes an actor SDK, a studio for testing actors, a hub UI, an actor orchestrator, a routing proxy, and a core workflow engine. Underlying technologies referenced include Rust, FoundationDB for durable state, NATS for pub/sub, Valkey for caching, and ClickHouse for monitoring.
Use Cases
Rivet Engine simplifies building and operating low-latency, stateful, realtime applications by removing boilerplate infrastructure concerns and providing durable actor primitives. Developers can implement long-running workflows, session-heavy services, multiplayer game logic, and realtime collaboration while benefiting from colocated state for performance and built-in scaling and fault tolerance to reduce operational burden. Provided SDKs, examples, and a studio UI accelerate development and debugging. The project offers guidance on self-hosting and enterprise options for larger deployments, and community channels including Discord and GitHub for support. Monitoring and observability are addressed via integrated components to help run production workloads.

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