ToolsThe story, in brief

Meet EverOS: An Open Source Markdown-First Agent Memory Runtime With Hybrid BM25 + Vector Retrieval and Self-Evolving Skills

EverMind just open-sourced the memory layer every AI agent team has been building in-house. Hybrid BM25 + vector retrieval, self-evolving skills, local-first. Apache 2.0.

Illustration of independent geometric mechanisms passing paper tasks along branching amber tracks.
AI agents and the coordination of work.AI illustration by KeyNews
The KeyNews take

Why it matters

Open-source agent memory infrastructure is becoming table stakes. EverOS removes the friction of rolling your own—hybrid retrieval + skill evolution could accelerate agent deployment across teams and enterprises.

The key facts

8 to know
  1. EverOS: open-source agent memory runtime

  2. Architecture: Markdown-first storage indexed by SQLite + LanceDB

  3. Hybrid retrieval: BM25 + vector search combined

  4. Multimodal ingestion support

  5. Self-evolving Skills capability

  6. License: Apache 2.0

  7. Source: EverMind

  8. Includes runnable code walkthrough and interactive demo

Go to the source

MarkTechPostmarktechpost.com

Publisher excerpt: EverMind has open-sourced EverOS, a local-first memory runtime that stores AI agent memory as plain Markdown indexed by SQLite and LanceDB. It combines hybrid BM25 + vector retrieval, multimodal ingestion, and self-evolving Skills under an Apache 2.0 license. Here's what it is, how the architecture…
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