# Changelog

All notable changes to **EverOS** are documented in this file.

The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.1.0/),
and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).

## [Unreleased]

_Unreleased changes on `dev` will be listed here._

## [1.0.0] - 2026-06-03

First public release of EverOS — a Markdown-first memory extraction framework
for AI agents.

### Added

- **Markdown as source of truth** — all memory persists as plain `.md` files you
  can open, edit, grep, and version with Git.
- **Lightweight three-piece storage** — Markdown (truth) + SQLite (state / queue
  / audit) + LanceDB (vector + BM25 + scalar index). No external services
  required.
- **Hybrid retrieval** — BM25, vector, and scalar filtering in a single LanceDB
  query.
- **Cascade index sync** — editing a `.md` file triggers a file watcher →
  entry-level diff → sub-second LanceDB sync.
- **Dual-track memory** — user-track (Episodes / Profiles) and agent-track
  (Cases / Skills).
- **Multi-source extraction** — conversations, workflows, agent traces, and file
  knowledge.
- **CLI + HTTP API** — the `everos` command-line tool and a FastAPI server,
  async-first throughout.
- **Pluggable providers** — LLM / embedding / rerank via the OpenAI-compatible
  protocol (works with OpenAI, OpenRouter, vLLM, Ollama, …).
- **Decoupled algorithms** — memory extraction algorithms live in the standalone
  `everalgo-*` libraries published on PyPI.

[Unreleased]: https://github.com/EverMind-AI/EverOS/compare/v1.0.0...HEAD
[1.0.0]: https://github.com/EverMind-AI/EverOS/releases/tag/v1.0.0
