EverMemOS

EverMemOS is part of the EverMind project, a memory layer for AI. Most AI systems forget everything between sessions, which breaks continuity. EverMind approaches this as an infrastructure problem: EverMemOS acts as a memory operating system that lets AI reason over accumulated context rather than starting from zero. Alongside it, EverMemBench provides an evaluation benchmark for memory retrieval and perception, and EverMemModel targets near infinite context length by storing memory data in the KV cache of a language model. A ReRankModel supports retrieval quality. Everything is free to use on GitHub.

- Give an AI system persistent memory across sessions

- Let AI reason over long context instead of stateless prompts

- Evaluate memory performance with EverMemBench

- Use EverMemModel for long context understanding

- Improve retrieval with the included ReRankModel

- AI developers building agents that remember users

- Researchers studying long context and memory in models

- Enterprises that need consistent AI customer service or analysis

This is infrastructure, not an app, so expect integration work and a learning curve. As an open source project on GitHub, its APIs and features can change quickly between releases, so pin versions and read the docs carefully. Because memory means storing user context, you also take on data handling responsibilities, so plan retention and privacy controls before you put it in front of real users. Free tiers and usage limits can change, so check the current rules on the official page before relying on it long term. Processing speed depends on file size and network conditions, so retry later if a task stalls during peak hours.