# Установка через Homebrew (рекомендуется)
brew tap louis030195/screenpipe
brew install screenpipe

# Или собрать из исходников
git clone https://github.com/mediar-ai/screenpipe.git
cd screenpipe
cargo build --release
sudo cp target/release/screenpipe /usr/local/bin/

# Запуск демона (фоном)
screenpipe daemon start

# Проверить статус
screenpipe status
● screenpipe daemon running (PID 48291)
  Recording: active
  Frames captured: 12,847
  OCR events: 3,201
  Audio transcribed: 47 min

# Системные зависимости
sudo apt update && sudo apt install -y \
  libx11-dev libxcb1-dev libxcb-shm0-dev \
  libxcb-shape0-dev libxcb-xfixes0-dev \
  libasound2-dev libpulse-dev \
  tesseract-ocr tesseract-ocr-rus \
  ffmpeg libavformat-dev libswscale-dev

# Установка Rust toolchain
curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh
source "$HOME/.cargo/env"

# Клонирование и сборка
git clone https://github.com/mediar-ai/screenpipe.git
cd screenpipe
cargo build --release --features "linux,audio"

# Запуск с авто-определением дисплея
./target/release/screenpipe daemon start \
  --display ":0" \
  --fps 1 \
  --audio-device "default"

# Готовый образ с whisper и tesseract (CPU)
docker pull ghcr.io/mediar-ai/screenpipe:latest

# Запуск с монтированием данных
docker run -d \
  --name screenpipe \
  -v "$HOME/.screenpipe:/root/.screenpipe" \
  -p 3030:3030 \
  -e SCREENPIPE_AUDIO_ENABLED="true" \
  -e SCREENPIPE_OCR_LANG="rus+eng" \
  ghcr.io/mediar-ai/screenpipe:latest

# Проверка через API
curl http://localhost:3030/health
{"status":"ok","uptime":3600,"frames_total":14400}

# Запустить демон с кастомными настройками
screenpipe daemon start \
  --fps "0.5" \
  --ocr-languages "rus,eng" \
  --audio-enabled "true" \
  --data-dir "~/.screenpipe" \
  --max-disk-usage-gb "50"

# Остановить демон
screenpipe daemon stop

# Просмотр логов в реальном времени
screenpipe logs --follow
[2026-07-27T15:10:03Z INFO  screenpipe] frame captured: 1920x1080, 847KB
[2026-07-27T15:10:04Z INFO  screenpipe] ocr: 142 chars extracted (rus)
[2026-07-27T15:10:05Z INFO  screenpipe] audio chunk: 30s transcribed

# Семантический поиск (через API)
curl -X POST http://localhost:3030/search \
  -H "Content-Type: application/json" \
  -d '{"query": "архитектура микросервисов Kubernetes","limit": 5}'

{
  "results": [
    {
      "type": "ocr",
      "text": "Микросервисная архитектура в Kubernetes...",
      "app": "Google Chrome",
      "timestamp": "2026-07-27T14:32:10Z",
      "similarity": 0.92,
      "frame_id": "a1b2c3d4"
    },
    {
      "type": "audio",
      "text": "...и затем мы развернули поды в кластере...",
      "app": "Zoom",
      "timestamp": "2026-07-27T11:15:00Z",
      "similarity": 0.87
    }
  ],
  "total": 2,
  "took_ms": 124
}

# Поиск по ключевым словам + фильтрация по дате
screenpipe search "Docker Compose" \
  --from "2026-07-25" \
  --to "2026-07-27" \
  --app "VS Code" \
  --type "ocr"

# Поиск с AI-суммаризацией (требуется локальный LLM)
screenpipe search "встреча по бюджету" \
  --summarize \
  --model "llama3.2"

# Экспорт всей истории за день в JSON
screenpipe export \
  --from "2026-07-27" \
  --format "json" \
  --output "~/screenpipe-export-20260727.json"

# Экспорт транскрипций встреч в Markdown
screenpipe export \
  --type "audio" \
  --format "markdown" \
  --output "~/meetings/"

# Статистика использования
screenpipe stats
=== Screenpipe Stats ===
Uptime:          3d 7h 42m
Frames total:    248,912
OCR events:      87,443
Audio minutes:   1,247
Disk used:       4.2 GB
Top apps:        VS Code (34%), Chrome (28%), Terminal (15%)

// pipe.ts — отправка всех OCR-событий в Notion
import { Pipe, ScreenpipeEvent } from "@screenpipe/pipes";

const notionPipe: Pipe = {
  name: "notion-sync",
  onEvent: async (event: ScreenpipeEvent) => {
    if (event.type !== "ocr") return;

    await fetch("https://api.notion.com/v1/pages", {
      method: "POST",
      headers: {
        "Authorization": `Bearer ${process.env.NOTION_TOKEN}`,
        "Content-Type": "application/json",
      },
      body: JSON.stringify({
        parent: { database_id: process.env.NOTION_DB_ID },
        properties: {
          "Text": { title: [{ text: { content: event.text } }] },
          "App": { rich_text: [{ text: { content: event.app } }] },
        },
      }),
    });
  },
};

export default notionPipe;

# WebSocket — поток событий в реальном времени
websocat ws://localhost:3030/ws/events
{"type":"ocr","text":"def process_data...","app":"VS Code","ts":"..."}
{"type":"audio","text":"Давайте обсудим архитектуру...","app":"Zoom","ts":"..."}

# Health-check и метрики
curl http://localhost:3030/metrics
screenpipe_frames_total 248912
screenpipe_ocr_events_total 87443
screenpipe_audio_seconds_total 74820
screenpipe_disk_bytes 4509715660

# Управление через API
curl -X POST http://localhost:3030/control/pause
curl -X POST http://localhost:3030/control/resume