chore: initialize EverOS 1.0.0
md-first memory extraction framework for AI agents. Markdown is the single source of truth; SQLite holds state and LanceDB provides the rebuildable vector + BM25 + scalar index. The codebase follows a single-direction DDD layering (entrypoints -> service -> memory -> infra, with component / core / config cross-cutting) enforced by import-linter. Engineering surface: - Coding conventions in .claude/rules/ (path-scoped) and workflows in .claude/skills/ (/commit, /new-branch, /pr). - GitHub Actions CI runs make lint + test + integration; pre-commit mirrors the gates locally (ruff, hygiene hooks, gitlint commit-msg). - Commit messages follow Conventional Commits, enforced by gitlint. - make lint also enforces datetime two-zone discipline and OpenAPI drift.
This commit is contained in:
Elliot Chen
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README.md
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<div align="center" id="readme-top">
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||||
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||||
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<p align="center">
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||||
<a href="https://x.com/evermind"><img src="https://img.shields.io/badge/EverMind-000000?labelColor=gray&style=for-the-badge&logo=x&logoColor=white" alt="X"></a>
|
||||
<a href="https://huggingface.co/EverMind-AI"><img src="https://img.shields.io/badge/🤗_HuggingFace-EverMind-F5C842?labelColor=gray&style=for-the-badge" alt="HuggingFace"></a>
|
||||
<a href="https://discord.gg/gYep5nQRZJ"><img src="https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fdiscord.com%2Fapi%2Fv10%2Finvites%2FgYep5nQRZJ%3Fwith_counts%3Dtrue&query=%24.approximate_presence_count&suffix=%20online&label=Discord&color=404EED&labelColor=gray&style=for-the-badge&logo=discord&logoColor=white" alt="Discord"></a>
|
||||
<a href="https://github.com/EverMind-AI/EverOS/discussions/67"><img src="https://img.shields.io/badge/WeCom-EverMind_社区-07C160?labelColor=gray&style=for-the-badge&logo=wechat&logoColor=white" alt="WeChat"></a>
|
||||
</p>
|
||||
|
||||
[Website](https://evermind.ai) · [Documentation](https://docs.evermind.ai) · [Blog](https://evermind.ai/blogs)
|
||||
|
||||
</div>
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||||
|
||||
|
||||
<br>
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||||
|
||||
<details open>
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||||
<summary><kbd>Table of Contents</kbd></summary>
|
||||
|
||||
<br>
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||||
|
||||
- [What is EverOS](#what-is-everos)
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||||
- [Architecture at a glance](#architecture-at-a-glance)
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||||
- [Quick start](#quick-start)
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||||
- [Storage layout](#storage-layout)
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||||
- [Features](#features)
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||||
- [Project structure](#project-structure)
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||||
- [Documentation](#documentation)
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||||
- [Use Cases](#use-cases)
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||||
- [Stay Tuned](#stay-tuned)
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||||
- [Contributing](#contributing)
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||||
|
||||
<br>
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||||
|
||||
</details>
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||||
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## What is EverOS
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||||
EverOS is an open-source Python framework that turns conversations, agent trajectories, and files into **structured, retrievable, evolving long-term memory** for AI agents and user chats. Designed for **lightweight local deployments** (small teams, individual developers), with three core principles:
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1. **Markdown as Source of Truth** — All memory persists as plain `.md` files. Open, edit, grep, version with Git, view in Obsidian. No black-box database lock-in.
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2. **Lightweight three-piece storage** — `Markdown` files (truth) + `SQLite` (state/queue) + `LanceDB` (vector + BM25 + scalar). No MongoDB / Elasticsearch / Milvus / Redis / Kafka required.
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||||
3. **[EverAlgo](https://github.com/EverMind-AI/EverAlgo) as pure algorithm library** — Memory extraction algorithms are decoupled into a separate library; this project orchestrates and persists.
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||||
|
||||
<br>
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||||
## Architecture at a glance
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||||
|
||||
```
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┌───────────────────────────────────────────────┐
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||||
│ entrypoints/ (CLI + HTTP API) │ presentation
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||||
├───────────────────────────────────────────────┤
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||||
│ service/ (use cases: memorize/retrieve) │ application
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||||
├───────────────────────────────────────────────┤
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||||
│ memory/ (extract + search + cascade) │ domain
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||||
├───────────────────────────────────────────────┤
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||||
│ infra/ (markdown / sqlite / lancedb) │ infrastructure
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||||
└───────────────────────────────────────────────┘
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||||
↑ ↑
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||||
component/ core/
|
||||
(LLM/Embedding) (observability/lifespan)
|
||||
```
|
||||
|
||||
DDD 5 layers, single-direction dependency. See [docs/architecture.md](docs/architecture.md).
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||||
|
||||
<br>
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||||
|
||||
## Quick start
|
||||
|
||||
### Install as a package
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||||
|
||||
```bash
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||||
uv pip install everos # or: pip install everos
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||||
|
||||
# Generate a starter .env (OpenRouter + DeepInfra defaults; bundled inside the wheel)
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everos init # writes ./.env (use --xdg for ~/.config/everos/.env)
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# Edit .env and fill the API key fields (see comments inside).
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||||
|
||||
everos --help
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||||
everos server start
|
||||
```
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||||
|
||||
`everos server start` searches for `.env` in this order: `--env-file <path>` →
|
||||
`./.env` (cwd) → `${XDG_CONFIG_HOME:-~/.config}/everos/.env` → `~/.everos/.env`.
|
||||
The endpoint stack is OpenAI-protocol compatible (OpenAI / OpenRouter / vLLM /
|
||||
Ollama / DeepInfra …) — override `*__BASE_URL` in the generated `.env` to point
|
||||
at any of them.
|
||||
|
||||
#### Multi-modal (optional)
|
||||
|
||||
To ingest non-text content (image / pdf / audio / office documents)
|
||||
through `/api/v1/memory/add` `content` items, install the optional
|
||||
extra:
|
||||
|
||||
```bash
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||||
uv pip install 'everos[multimodal]' # or: pip install 'everos[multimodal]'
|
||||
```
|
||||
|
||||
This pulls in `everalgo-parser` (with the `[svg]` bundle for SVG
|
||||
support via cairosvg) and wires up the multimodal LLM client
|
||||
(`EVEROS_MULTIMODAL__*` fields in `.env`, defaults to
|
||||
`google/gemini-3-flash-preview` via OpenRouter).
|
||||
|
||||
**Office document support requires LibreOffice as a system dependency.**
|
||||
The parser shells out to `soffice` (LibreOffice's headless renderer) to
|
||||
convert `.doc` / `.docx` / `.ppt` / `.pptx` / `.xls` / `.xlsx` to PDF
|
||||
before feeding the result into the multimodal LLM. Without LibreOffice,
|
||||
office uploads return HTTP 415 with a clear error message; PDF / image
|
||||
/ audio / HTML / email parsing is unaffected.
|
||||
|
||||
Install on the host before serving office documents:
|
||||
|
||||
```bash
|
||||
brew install --cask libreoffice # macOS
|
||||
sudo apt-get install -y libreoffice # Debian / Ubuntu
|
||||
```
|
||||
|
||||
For a step-by-step walkthrough (add a conversation → flush → search →
|
||||
read the markdown), see [QUICKSTART.md](QUICKSTART.md).
|
||||
|
||||
|
||||
### Develop locally
|
||||
|
||||
```bash
|
||||
git clone <repo>
|
||||
cd everos
|
||||
uv sync # creates ./.venv and installs deps
|
||||
source .venv/bin/activate # — or skip activation and prefix every command with `uv run`
|
||||
everos init # fill in EVEROS_LLM__API_KEY in the generated .env
|
||||
|
||||
everos --help
|
||||
make test
|
||||
```
|
||||
|
||||
<br>
|
||||
|
||||
## Storage layout
|
||||
|
||||
```
|
||||
~/.everos/
|
||||
├── default_app/ # app_id ("default" → "default_app" on disk)
|
||||
│ └── default_project/ # project_id ("default" → "default_project")
|
||||
│ ├── users/<user_id>/
|
||||
│ │ ├── user.md # profile
|
||||
│ │ ├── episodes/ # daily-log episodes (visible)
|
||||
│ │ ├── .atomic_facts/ # nested facts (dotfile-hidden)
|
||||
│ │ └── .foresights/ # predictive memory (dotfile-hidden)
|
||||
│ └── agents/<agent_id>/
|
||||
│ ├── agent.md
|
||||
│ ├── .cases/ # one task case per entry
|
||||
│ └── skills/ # named procedural memories
|
||||
├── .index/ # derived indexes (rebuildable from md)
|
||||
│ ├── sqlite/system.db # state + queue + audit
|
||||
│ └── lancedb/*.lance/ # vector + BM25 + scalar
|
||||
└── .tmp/ # transient working files
|
||||
```
|
||||
|
||||
Open any `<app>/<project>/users/<user_id>/` folder in Obsidian — your
|
||||
agent's brain is just files. The dotfile directories (`.atomic_facts/`,
|
||||
`.foresights/`, `.cases/`) stay hidden by default so the visible folder
|
||||
is the user-facing memory surface, while extracted derivatives sit
|
||||
quietly alongside.
|
||||
|
||||
<br>
|
||||
|
||||
## Features
|
||||
|
||||
- **Hybrid retrieval**: BM25 + vector (HNSW/IVF-PQ) + scalar filter, single-query in LanceDB
|
||||
- **Cascade index sync**: edit a `.md` → file watcher → entry-level diff → LanceDB sync, sub-second
|
||||
- **Multi-source extraction**: conversations / agent trajectories / file knowledge
|
||||
- **Dual-track memory**: user-track (Episodes / Profiles) + agent-track (Cases / Skills)
|
||||
- **Async-first**: full asyncio, single event loop
|
||||
- **Multi-modal**: text + small image / audio inline; large media via S3/OSS reference
|
||||
|
||||
<br>
|
||||
|
||||
## Project structure
|
||||
|
||||
```
|
||||
everos/ # repo root
|
||||
├── src/everos/ # main package (src layout)
|
||||
│ ├── entrypoints/ # cli + api
|
||||
│ ├── service/ # use case orchestration
|
||||
│ ├── memory/ # domain: extract + search + cascade + prompt_slots
|
||||
│ ├── infra/ # storage: markdown + lancedb + sqlite
|
||||
│ ├── component/ # cross-cutting: llm / embedding / config / utils
|
||||
│ ├── core/ # runtime: observability / lifespan / context
|
||||
│ └── config/ # configuration data + Settings schema
|
||||
├── tests/ # unit / integration / golden / fixtures
|
||||
├── docs/ # design docs
|
||||
└── .claude/ # team-shared rules + skills (auto-loaded by Claude Code)
|
||||
```
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||||
<br>
|
||||
|
||||
## Documentation
|
||||
|
||||
- [docs/overview.md](docs/overview.md) — Project overview & vision
|
||||
- [docs/architecture.md](docs/architecture.md) — DDD layered architecture & dependency rules
|
||||
- [docs/engineering.md](docs/engineering.md) — Engineering & dev-efficiency infrastructure (CI / tooling / Claude Code)
|
||||
- [CHANGELOG.md](CHANGELOG.md) — Release notes
|
||||
- [CONTRIBUTING.md](CONTRIBUTING.md) — How to contribute
|
||||
- [.claude/rules/](.claude/rules/) — Detailed coding conventions (auto-loaded by Claude Code)
|
||||
|
||||
<br>
|
||||
|
||||
## Use Cases
|
||||
|
||||
Use cases show what persistent memory makes possible in real products and workflows. Some examples are packaged in this repository; others point to external demos or integrations you can study and adapt.
|
||||
|
||||
<table>
|
||||
<tr>
|
||||
<td width="50%" valign="top">
|
||||
|
||||
[](https://evermind.ai/usecase_reunite)
|
||||
|
||||
#### Reunite - Find with EverOS
|
||||
|
||||
Parents describe what they remember. Children describe what they recall. Reunite uses semantic memory to surface the connections.
|
||||
|
||||
[Learn more](https://evermind.ai/usecase_reunite)
|
||||
|
||||
</td>
|
||||
<td width="50%" valign="top">
|
||||
|
||||
[](https://github.com/tt-a1i/hive)
|
||||
|
||||
#### Hive Orchestrator
|
||||
|
||||
Browser-native hive-mind for CLI coding agents — Claude Code, Codex, Gemini, and OpenCode collaborate as real PTY processes via a team protocol.
|
||||
|
||||
[Code](https://github.com/tt-a1i/hive)
|
||||
|
||||
</td>
|
||||
</tr>
|
||||
|
||||
<tr>
|
||||
<td width="50%" valign="top">
|
||||
|
||||
[](https://github.com/tt-a1i/evermemos-mcp)
|
||||
|
||||
#### AI Coding Assistants with EverOS
|
||||
|
||||
Universal long-term memory layer for AI coding assistants, powered by EverOS.
|
||||
|
||||
[Code](https://github.com/tt-a1i/evermemos-mcp)
|
||||
|
||||
</td>
|
||||
<td width="50%" valign="top">
|
||||
|
||||
[](https://github.com/yuansui123/AI-Data-Technician-EverMemOS)
|
||||
|
||||
#### AI Data Techician
|
||||
|
||||
An agentic AI system that learns from scientist interaction to inspect, analyze, and classify high-dimensional time series data — with persistent memory that improves across sessions.
|
||||
|
||||
[Code](https://github.com/yuansui123/AI-Data-Technician-EverMemOS)
|
||||
|
||||
</td>
|
||||
</tr>
|
||||
|
||||
<tr>
|
||||
<td width="50%" valign="top">
|
||||
|
||||
|
||||
|
||||
#### Rokid AI Assistant with EverOS
|
||||
|
||||
Connect to EverOS within Rokid Glasses enabling long-term memory for all of your smart activities.
|
||||
|
||||
Coming soon
|
||||
|
||||
</td>
|
||||
<td width="50%" valign="top">
|
||||
|
||||
|
||||
|
||||
#### Creative Assistant with Memory
|
||||
|
||||
Creative assistant with long-term memory, never forget your crativites anymore.
|
||||
|
||||
Coming soon
|
||||
|
||||
</td>
|
||||
</tr>
|
||||
|
||||
<tr>
|
||||
<td width="50%" valign="top">
|
||||
|
||||
[](https://github.com/xunyud/Earth-Online)
|
||||
|
||||
#### Earth Online Memory Game
|
||||
|
||||
Earth Online is a memory-aware productivity game that turns everyday planning into a living quest log.
|
||||
|
||||
[Code](https://github.com/xunyud/Earth-Online)
|
||||
|
||||
</td>
|
||||
<td width="50%" valign="top">
|
||||
|
||||
[](https://github.com/golutra/golutra)
|
||||
|
||||
#### Multi-Agent Orchestration Platform
|
||||
|
||||
Golutra presents a multi-agent workforce for engineering teams, extending the IDE model from a single assistant to coordinated agents.
|
||||
|
||||
[Code](https://github.com/golutra/golutra)
|
||||
|
||||
</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td width="50%" valign="top">
|
||||
|
||||
[](https://github.com/Yangtze-Seventh/taste-verse)
|
||||
|
||||
#### Your Personal Tasting Universe
|
||||
|
||||
Record, visualize, and explore your tasting journey through an immersive 3D star map.
|
||||
|
||||
[Code](https://github.com/Yangtze-Seventh/taste-verse)
|
||||
|
||||
</td>
|
||||
<td width="50%" valign="top">
|
||||
|
||||
[](https://github.com/kellyvv/OpenHer)
|
||||
|
||||
#### EverOS Open Her
|
||||
|
||||
Build AI that feels. Open-source persona engine — personality emerges from neural drives, not prompts. Inspired by Her.
|
||||
|
||||
[Code](https://github.com/kellyvv/OpenHer)
|
||||
|
||||
</td>
|
||||
</tr>
|
||||
|
||||
<tr>
|
||||
<td width="50%" valign="top">
|
||||
|
||||
[](https://chromewebstore.google.com/detail/ruminer-browser-agent/lbccjohfpdpimbhpckljimgolndfmfif)
|
||||
|
||||
#### Browser Agent for Personal Memory
|
||||
|
||||
Ruminer brings persistent memory to a browser agent so it can carry personal context across web tasks.
|
||||
|
||||
[Plugin](https://chromewebstore.google.com/detail/ruminer-browser-agent/lbccjohfpdpimbhpckljimgolndfmfif)
|
||||
|
||||
</td>
|
||||
<td width="50%" valign="top">
|
||||
|
||||
[](https://github.com/nanxingw/EverMem)
|
||||
|
||||
#### EverMem Sync with EverOS
|
||||
|
||||
One command to connect any AI coding CLI to EverMemOS long-term memory.
|
||||
|
||||
[Code](https://github.com/nanxingw/EverMem)
|
||||
|
||||
</td>
|
||||
</tr>
|
||||
|
||||
<tr>
|
||||
<td width="50%" valign="top">
|
||||
|
||||
[](https://github.com/mco-org/mco)
|
||||
|
||||
#### MCO - Orchestrate AI Coding Agents
|
||||
|
||||
MCO equips your primary agent with an agent team that can work together to solve complex tasks.
|
||||
|
||||
[Code](https://github.com/mco-org/mco)
|
||||
|
||||
</td>
|
||||
<td width="50%" valign="top">
|
||||
|
||||
[](https://github.com/onenewborn/StudyBuddy-public)
|
||||
|
||||
#### Study Buddy with Self-Evolving Memory
|
||||
|
||||
Study proactively with an agent that has self-evolving memory.
|
||||
|
||||
[Code](https://github.com/onenewborn/StudyBuddy-public)
|
||||
|
||||
</td>
|
||||
</tr>
|
||||
|
||||
<tr>
|
||||
<td width="50%" valign="top">
|
||||
|
||||
[](https://github.com/TonyLiangDesign/MemoCare)
|
||||
|
||||
#### Alzheimer’s Memory Assistant
|
||||
|
||||
Empowering individuals with advanced memory support and daily assistance.
|
||||
|
||||
[Code](https://github.com/TonyLiangDesign/MemoCare)
|
||||
|
||||
</td>
|
||||
<td width="50%" valign="top">
|
||||
|
||||
[](https://github.com/AlexL1024/NeuralConnect)
|
||||
|
||||
#### Memory-Driven Multi-Agent NPC Experience
|
||||
|
||||
An iOS sci-fi mystery game where players explore and uncover the truth.
|
||||
|
||||
[Code](https://github.com/AlexL1024/NeuralConnect)
|
||||
|
||||
</td>
|
||||
</tr>
|
||||
|
||||
<tr>
|
||||
<td width="50%" valign="top">
|
||||
|
||||
[](https://github.com/elontusk5219-prog/Mobi)
|
||||
|
||||
#### Mobi Companion
|
||||
|
||||
An iOS app where users create, nurture, and live with a personalized AI companion called Mobi.
|
||||
|
||||
[Code](https://github.com/elontusk5219-prog/Mobi)
|
||||
|
||||
</td>
|
||||
<td width="50%" valign="top">
|
||||
|
||||
[](https://github.com/JaMesLiMers/EvermemCompetition-Spiro)
|
||||
|
||||
#### AI Wearable with Memory
|
||||
|
||||
A context-native AI wearable that listens to everyday life and converts conversations into memory.
|
||||
|
||||
[Code](https://github.com/JaMesLiMers/EvermemCompetition-Spiro)
|
||||
|
||||
</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td width="50%" valign="top">
|
||||
|
||||
[](https://github.com/EverMind-AI/EverOS/tree/0f49826ba0f9a94e1974c97614a46a68e0a08b52/evermemos-openclaw-plugin)
|
||||
|
||||
#### OpenClaw Agent Memory
|
||||
|
||||
A 24/7 agent workflow with continuous learning memory across sessions.
|
||||
|
||||
[Plugin](https://github.com/EverMind-AI/EverOS/tree/0f49826ba0f9a94e1974c97614a46a68e0a08b52/evermemos-openclaw-plugin)
|
||||
|
||||
</td>
|
||||
<td width="50%" valign="top">
|
||||
|
||||
[](https://github.com/TEN-framework/ten-framework/tree/04cb80601374fa9e35b4e544b2dbd23286ca7763/ai_agents/agents/examples/voice-assistant-with-EverMemOS)
|
||||
|
||||
#### Live2D Character with Memory
|
||||
|
||||
Add long-term memory to a real-time Live2D character, powered by [TEN Framework](https://github.com/TEN-framework/ten-framework).
|
||||
|
||||
[Code](https://github.com/TEN-framework/ten-framework/tree/04cb80601374fa9e35b4e544b2dbd23286ca7763/ai_agents/agents/examples/voice-assistant-with-EverMemOS)
|
||||
|
||||
</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td width="50%" valign="top">
|
||||
|
||||
[](https://screenshot-analysis-vercel.vercel.app/)
|
||||
|
||||
#### Computer-Use with Memory
|
||||
|
||||
Run screenshot-based analysis with computer-use and store the results in memory.
|
||||
|
||||
[Live Demo](https://screenshot-analysis-vercel.vercel.app/)
|
||||
|
||||
</td>
|
||||
<td width="50%" valign="top">
|
||||
|
||||
[](use-cases/game-of-throne-demo)
|
||||
|
||||
#### Game of Thrones Memories
|
||||
|
||||
A demonstration of AI memory infrastructure through an interactive Q&A experience with *A Game of Thrones*.
|
||||
|
||||
[Code](use-cases/game-of-throne-demo)
|
||||
|
||||
</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td width="50%" valign="top">
|
||||
|
||||
[](use-cases/claude-code-plugin)
|
||||
|
||||
#### Claude Code Plugin
|
||||
|
||||
Persistent memory for Claude Code. Automatically saves and recalls context from past coding sessions.
|
||||
|
||||
[Code](use-cases/claude-code-plugin)
|
||||
|
||||
</td>
|
||||
<td width="50%" valign="top">
|
||||
|
||||
[](https://main.d2j21qxnymu6wl.amplifyapp.com/graph.html)
|
||||
|
||||
#### Memory Graph Visualization
|
||||
|
||||
Explore stored entities and relationships in a graph interface. Frontend demo; backend integration is in progress.
|
||||
|
||||
[Live Demo](https://main.d2j21qxnymu6wl.amplifyapp.com/graph.html)
|
||||
|
||||
</td>
|
||||
</tr>
|
||||
</table>
|
||||
|
||||
<br>
|
||||
<div align="right">
|
||||
|
||||
[](#readme-top)
|
||||
|
||||
</div>
|
||||
|
||||
## Stay Tuned
|
||||
|
||||
Star the repo or join the community links above to follow new architecture methods, benchmark releases, and memory-enabled use cases.
|
||||
|
||||
|
||||
|
||||
<br>
|
||||
<div align="right">
|
||||
|
||||
[](#readme-top)
|
||||
|
||||
</div>
|
||||
|
||||
## Contributing
|
||||
|
||||
Contributions are welcome across the whole repository: architecture methods, benchmark coverage, use-case examples, documentation, and bug fixes. Browse [Issues](https://github.com/EverMind-AI/EverOS/issues) to find a good entry point, then open a PR when you are ready.
|
||||
|
||||
<br>
|
||||
|
||||
> [!TIP]
|
||||
>
|
||||
> **Welcome all kinds of contributions** 🎉
|
||||
>
|
||||
> Help make EverOS better. Code, documentation, benchmark reports, use-case write-ups, and integration examples are all valuable. Share your projects on social media to inspire others.
|
||||
>
|
||||
> Connect with one of the EverOS maintainers [@elliotchen200](https://x.com/elliotchen200) on 𝕏 or [@cyfyifanchen](https://github.com/cyfyifanchen) on GitHub for project updates, discussions, and collaboration opportunities.
|
||||
|
||||
|
||||
|
||||
|
||||
### Code Contributors
|
||||
|
||||
[](https://github.com/EverMind-AI/EverOS/graphs/contributors)
|
||||
|
||||
|
||||
|
||||
|
||||
### License
|
||||
|
||||
[Apache License 2.0](LICENSE) — see [NOTICE](NOTICE) for third-party attributions.
|
||||
|
||||
### Citation
|
||||
|
||||
If you use EverOS in research, see [CITATION.md](CITATION.md).
|
||||
|
||||
<br>
|
||||
|
||||
<div align="right">
|
||||
|
||||
[](#readme-top)
|
||||
|
||||
</div>
|
||||
Reference in New Issue
Block a user