EverOS

EverOS is a memory operating system that provides persistent, self-evolving storage and retrieval for AI agents.

EverOS functions as a memory layer for AI agents, allowing them to store and recall episodic, profile, and skill-based information. It ingests various data formats, including PDFs, images, docs, and URLs, and processes them into structured memory through a single API call. The system automatically distills execution trajectories into reusable Skill Memories, which allows agents to adapt their procedures based on past performance. Developers can use the same SDK to run the system in the cloud or self-hosted environments. It is designed to work within existing agent stacks, maintaining compatibility with tools like Claude Code, Codex, and MCP.

EverOS at a glance

Best for: Software engineer
Runs on: Web, self-hosted
Pricing: Free plan; Pro $25/month; Enterprise custom pricing
Released: October 2025
Category: AI agent tool
Website: evermind.ai

Key features

Multi-level memory scoping
Self-evolving skill distillation
Multimodal ingestion for docs and images
Offline consolidation of execution trajectories
CLI-driven cognitive lifecycle management
Markdown-native data storage
Hybrid mRAG retrieval engine

Use it for

Developing AI wearables with persistent conversation memory
Building multi-agent orchestration for engineering teams
Creating memory-aware productivity games
Deploying healthcare assistants for long-term memory support
Coordinating CLI coding agents via team protocols

Alternatives to EverOS

MemOS — It delivers ultra-persistent memory, hybrid-retrieval, and token savings.
Memory OS for Hermes — Stops agents from forgetting by adding local persistent memory layers.
Supermemory — Integrates long-term memory into AI coding agents with a single prompt.
Tigerless Agent Memory — Maintains agent history in portable, greppable Markdown files without API keys.
Playground — Persists agent memory across sessions and searches by meaning.
Agentmemoryrepo — Enables agents to navigate memories like a wiki and share knowledge across sessions.
Mem0 — It provides drop-in persistent memory for AI agents without changing pipelines.
Memori — Reduces LLM token usage and spend by over 97% with targeted recall.
BrowserOS — Runs entirely locally and lets AI agents use real user logins to complete tasks.
Honcho — Maintains persistent state and reasoning across agent sessions.
Maximem — It delivers fast retrieval and structured memory across frameworks.
memU — It gives every connected agent a shared and inspectable memory layer.

All EverOS alternatives