MemOS is an experimental operating system and runtime built around the concept of memory-centric computing, where memory objects are first-class citizens and program execution is organized around efficient, persistent memory access rather than traditional process and file system boundaries. The project explores rethinking system abstractions by tightly coupling computation with memory objects so that programs can operate on large datasets without expensive serialization or context switching. It aims to support advanced workflows like persistent in-memory data structures, crash-resilient state handling, and seamless sharing of data across tasks without copying. By abandoning some of the historical assumptions of Unix-style operating systems, MemOS attempts to unlock new performance and scalability tradeoffs for applications that need high throughput and low latency on memory-intensive workloads.

Features

  • Memory-centric computing model
  • Persistent in-memory data object support
  • Crash-resilient state handling
  • Concurrency support with safe permission boundaries
  • Prototype kernel and interface exploration
  • Designed for high throughput and low latency workloads

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License

Apache License V2.0

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Additional Project Details

Programming Language

Python

Related Categories

Python Artificial Intelligence Software

Registered

2026-02-10