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

Project Samples

Project Activity

See All Activity >

License

Apache License V2.0

Follow MemOS

MemOS Web Site

Other Useful Business Software
Train ML Models With SQL You Already Know Icon
Train ML Models With SQL You Already Know

BigQuery automates data prep, analysis, and predictions with built-in AI assistance.

Build and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
Try Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of MemOS!

Additional Project Details

Programming Language

Python

Related Categories

Python Artificial Intelligence Software, Python OpenClaw Tools

Registered

2026-02-10