dotnet/orleans

Cloud Native application framework for .NET

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Summary Information

Updated 7 minutes ago
Added to GitGenius on September 5th, 2026
Created on December 19th, 2014
Open Issues & Pull Requests: 668 (+1)
GitHub issues: Enabled
Number of forks: 2,132
Total Stargazers: 10,860 (+0)
Total Subscribers: 477 (+0)

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Detailed Description

Orleans is a cross-platform framework for building distributed applications in .NET using the Virtual Actor Model.

Orleans addresses the complexity of building scalable distributed systems by extending familiar .NET concepts like objects, interfaces, async/await, and exception handling to multi-server environments. The framework's core abstraction is the grain, a stateful entity with a stable identity that can be invoked transparently regardless of whether it is currently loaded in memory or running on a remote server. The Orleans runtime automatically manages grain lifecycle, instantiating grains on demand and deactivating unused ones to free resources. Grains partition application state implicitly, enabling automatic scalability and simplifying failure recovery. State can be stored in any storage system and is kept in-memory while a grain is active, reducing latency and data store load.

Developers experienced with single-server .NET applications should consider Orleans when building cloud services or other distributed systems that require resilience and scalability across multiple servers. The framework is designed to let developers write code as if all grains were always in-memory, abstracting away the complexity of distributed communication and state management. Orleans scales from a single on-premises server to globally distributed, highly-available cloud applications. It suits projects where you need to model application logic as collections of stateful entities that communicate asynchronously and benefit from automatic placement and recovery.

The project maintains active development with regular updates to its core runtime and grain system. The codebase shows consistent refinement of the Virtual Actor Model implementation and ongoing work to support modern cloud-native deployment patterns. Development activity reflects sustained investment in the framework's stability and feature completeness for production distributed systems.