無限キャンバスがあるナレッジツール「AFFiNE」をセルフホスト

2026-05-11

「Outline」や「Trilium Notes」、「AppFlowy」のような、いわゆるNotion代替のナレッジベースソフトはいくつかありますが、けっこう高機能なのが「AFFiNE」です。こちらもセルフホストが可能です。

LXDコンテナにセットアップ

Ubuntu 26.04ベースのLXDコンテナにセットアップするためのスクリプトです。コピペで動作するはず。

#!/usr/bin/env bash
# =============================================================================
#  AFFiNE セルフホスト + Tailscale Serve セットアップスクリプト
#  対象: Ubuntu 26.04 LXD コンテナ (Tailscale 認証済み)
#  外部ポート: 3311 → 内部ポート: 3010 (AFFiNE)
#  既存の Tailscale Serve 設定は上書きしません
# =============================================================================
set -euo pipefail

# ── 色付きログ ───────────────────────────────────────────────────────────────
RED='\033[0;31m'; GREEN='\033[0;32m'; YELLOW='\033[1;33m'; CYAN='\033[0;36m'; NC='\033[0m'
info()    { echo -e "${CYAN}[INFO]${NC}  $*"; }
success() { echo -e "${GREEN}[OK]${NC}    $*"; }
warn()    { echo -e "${YELLOW}[WARN]${NC}  $*"; }
die()     { echo -e "${RED}[ERROR]${NC} $*" >&2; exit 1; }

# ── 設定値 ───────────────────────────────────────────────────────────────────
AFFINE_DIR="/opt/affine"
AFFINE_HOST_PORT=3010
AFFINE_TAILSCALE_PORT=3311
AFFINE_IMAGE="ghcr.io/toeverything/affine:stable"

# ── 事前確認 ─────────────────────────────────────────────────────────────────
info "事前チェックを開始します..."

command -v docker >/dev/null 2>&1 || die "Docker が見つかりません。先に Docker をインストールしてください。"

if ! docker compose version >/dev/null 2>&1; then
    warn "docker compose プラグインが見つかりません。インストールします..."
    apt-get update -qq
    apt-get install -y -qq docker-compose-plugin
fi

command -v tailscale >/dev/null 2>&1 || die "tailscale コマンドが見つかりません。"

TS_STATUS=$(tailscale status --json 2>/dev/null \
    | python3 -c "import sys,json; print(json.load(sys.stdin).get('BackendState','Unknown'))" 2>/dev/null \
    || echo "Unknown")
[[ "$TS_STATUS" == "Running" ]] \
    || die "Tailscale が Running 状態ではありません (現在: $TS_STATUS)。先に認証してください。"

TS_DOMAIN=$(tailscale status --json \
    | python3 -c "
import sys, json
d = json.load(sys.stdin)
dns = d.get('Self', {}).get('DNSName', '')
print(dns.rstrip('.'))
" 2>/dev/null || echo "")
[[ -n "$TS_DOMAIN" ]] || die "Tailscale のドメイン名を取得できませんでした。"
success "Tailscale ドメイン: ${TS_DOMAIN}"

# ── 前回インストールのクリーンアップ ────────────────────────────────────────
if [[ -f "${AFFINE_DIR}/docker-compose.yml" ]]; then
    warn "前回の ${AFFINE_DIR} が存在します。コンテナを停止して再インストールします..."
    docker compose -f "${AFFINE_DIR}/docker-compose.yml" down --remove-orphans 2>/dev/null || true
fi

# ── ghcr.io の古い認証情報をクリア → 匿名 pull ──────────────────────────────
info "ghcr.io への匿名 pull を試みます..."
DOCKER_CONFIG_FILE="${HOME}/.docker/config.json"
if [[ -f "$DOCKER_CONFIG_FILE" ]]; then
    python3 - <<PYEOF
import json
with open("${DOCKER_CONFIG_FILE}", "r") as f:
    cfg = json.load(f)
removed = cfg.get("auths", {}).pop("ghcr.io", None)
with open("${DOCKER_CONFIG_FILE}", "w") as f:
    json.dump(cfg, f, indent=2)
if removed:
    print("  既存の ghcr.io 認証情報を削除しました（匿名 pull に切り替え）")
PYEOF
fi

docker pull "${AFFINE_IMAGE}" \
    || die "イメージ pull に失敗しました。\nネットワーク疎通を確認してください: curl -I https://ghcr.io"
success "イメージ pull OK: ${AFFINE_IMAGE}"

# ── ポート衝突チェック ───────────────────────────────────────────────────────
if ss -tlnp | grep -q ":${AFFINE_HOST_PORT}\b"; then
    die "ポート ${AFFINE_HOST_PORT} は既に使用されています。スクリプト先頭の AFFINE_HOST_PORT を変更してください。"
fi

# ── パスワード・シークレット生成 ─────────────────────────────────────────────
DB_PASSWORD="$(openssl rand -base64 32 | tr -dc 'a-zA-Z0-9' | head -c 32)"
SECRET_KEY="$(openssl rand -base64 48 | tr -dc 'a-zA-Z0-9' | head -c 48)"

# ── ディレクトリ作成 ─────────────────────────────────────────────────────────
info "ディレクトリを作成します: ${AFFINE_DIR}"
mkdir -p "${AFFINE_DIR}"/{config,storage,redis,postgres}
cd "${AFFINE_DIR}"

# ── .env 生成 ────────────────────────────────────────────────────────────────
info ".env ファイルを生成します..."
cat > "${AFFINE_DIR}/.env" <<EOF
# AFFiNE 環境設定 (自動生成: $(date '+%Y-%m-%d %H:%M:%S'))
# ⚠️  DB_PASSWORD / SECRET_KEY は初回起動後に変更しないでください

AFFINE_REVISION=stable

# DB
DB_USERNAME=affine
DB_PASSWORD=${DB_PASSWORD}
DB_DATABASE=affine

# ポート
PORT=3010

# 外部公開 URL (Tailscale Serve 経由)
AFFINE_SERVER_HTTPS=true
AFFINE_SERVER_EXTERNAL_URL=https://${TS_DOMAIN}:${AFFINE_TAILSCALE_PORT}

# テレメトリ・インデクサ
TELEMETRY_ENABLE=false
AFFINE_INDEXER_ENABLED=false

# 実行環境
NODE_ENV=production
SECRET_KEY=${SECRET_KEY}

# ボリュームパス（compose 変数展開用）
UPLOAD_LOCATION=${AFFINE_DIR}/storage
CONFIG_LOCATION=${AFFINE_DIR}/config
AFFINE_DIR_REDIS=${AFFINE_DIR}/redis
AFFINE_DIR_PG=${AFFINE_DIR}/postgres
EOF
chmod 600 "${AFFINE_DIR}/.env"
success ".env 生成完了"

# ── docker-compose.yml 生成 ──────────────────────────────────────────────────
info "docker-compose.yml を生成します..."
cat > "${AFFINE_DIR}/docker-compose.yml" <<'COMPOSE'
# AFFiNE docker-compose.yml
# イメージ: ghcr.io/toeverything/affine:stable (公式最新)
# 参照: https://docs.affine.pro/self-host-affine/references/docker-compose-yml

name: affine

services:

  # ── マイグレーションジョブ（起動時のみ実行・完了後に終了） ────────────────
  affine_migration:
    image: ghcr.io/toeverything/affine:${AFFINE_REVISION:-stable}
    container_name: affine_migration_job
    command: ['sh', '-c', 'node ./scripts/self-host-predeploy.js']
    depends_on:
      affine_redis:
        condition: service_healthy
      affine_postgres:
        condition: service_healthy
    volumes:
      - ${UPLOAD_LOCATION}:/root/.affine/storage
      - ${CONFIG_LOCATION}:/root/.affine/config
    env_file:
      - .env
    environment:
      - REDIS_SERVER_HOST=affine_redis
      - DATABASE_URL=postgresql://${DB_USERNAME}:${DB_PASSWORD}@affine_postgres:5432/${DB_DATABASE:-affine}
    networks:
      - affine_net

  # ── メインアプリ ──────────────────────────────────────────────────────────
  affine:
    image: ghcr.io/toeverything/affine:${AFFINE_REVISION:-stable}
    container_name: affine_server
    ports:
      - '${PORT:-3010}:3010'
    depends_on:
      affine_redis:
        condition: service_healthy
      affine_postgres:
        condition: service_healthy
      affine_migration:
        condition: service_completed_successfully
    volumes:
      - ${UPLOAD_LOCATION}:/root/.affine/storage
      - ${CONFIG_LOCATION}:/root/.affine/config
    env_file:
      - .env
    environment:
      - REDIS_SERVER_HOST=affine_redis
      - DATABASE_URL=postgresql://${DB_USERNAME}:${DB_PASSWORD}@affine_postgres:5432/${DB_DATABASE:-affine}
    logging:
      driver: json-file
      options:
        max-size: 500m
        max-file: '3'
    restart: unless-stopped
    networks:
      - affine_net

  # ── Redis ─────────────────────────────────────────────────────────────────
  affine_redis:
    image: redis:7-alpine
    container_name: affine_redis
    volumes:
      - ${AFFINE_DIR_REDIS}:/data
    healthcheck:
      test: ['CMD', 'redis-cli', '--raw', 'incr', 'ping']
      interval: 10s
      timeout: 5s
      retries: 5
    restart: unless-stopped
    networks:
      - affine_net

  # ── PostgreSQL ────────────────────────────────────────────────────────────
  affine_postgres:
    image: postgres:16-alpine
    container_name: affine_postgres
    environment:
      POSTGRES_USER: ${DB_USERNAME}
      POSTGRES_PASSWORD: ${DB_PASSWORD}
      POSTGRES_DB: ${DB_DATABASE:-affine}
      PGDATA: /var/lib/postgresql/data/pgdata
    volumes:
      - ${AFFINE_DIR_PG}:/var/lib/postgresql/data
    healthcheck:
      test: ['CMD-SHELL', 'pg_isready -U ${DB_USERNAME} -d ${DB_DATABASE:-affine}']
      interval: 10s
      timeout: 5s
      retries: 5
    restart: unless-stopped
    networks:
      - affine_net

networks:
  affine_net:
    driver: bridge
COMPOSE
success "docker-compose.yml 生成完了"

# ── Docker サービス起動 ──────────────────────────────────────────────────────
info "AFFiNE コンテナを起動します..."
docker compose -f "${AFFINE_DIR}/docker-compose.yml" up -d

# 起動待機（最大 180 秒）
info "AFFiNE の起動を待機します (migration 完了まで最大 3 分)..."
WAIT=0
until curl -sf "http://localhost:${AFFINE_HOST_PORT}" >/dev/null 2>&1; do
    sleep 5; WAIT=$((WAIT+5))
    echo -n "."
    if [[ $WAIT -ge 180 ]]; then
        echo ""
        warn "180秒経過しても応答なし。ログを確認してください:"
        warn "  docker compose -f ${AFFINE_DIR}/docker-compose.yml logs --tail=50 affine"
        warn "  docker compose -f ${AFFINE_DIR}/docker-compose.yml logs --tail=30 affine_migration"
        break
    fi
done
echo ""

if curl -sf "http://localhost:${AFFINE_HOST_PORT}" >/dev/null 2>&1; then
    success "AFFiNE 起動確認 OK (port ${AFFINE_HOST_PORT})"
fi

# ── Tailscale Serve 設定（既存設定は保持） ───────────────────────────────────
info "既存の Tailscale Serve 設定をバックアップします..."
TS_SERVE_BACKUP="/tmp/tailscale-serve-backup-$(date +%Y%m%d%H%M%S).json"
tailscale serve status --json > "${TS_SERVE_BACKUP}" 2>/dev/null || echo '{}' > "${TS_SERVE_BACKUP}"
success "バックアップ: ${TS_SERVE_BACKUP}"

if tailscale serve status 2>/dev/null | grep -q ":${AFFINE_TAILSCALE_PORT}"; then
    warn "Tailscale Serve ポート ${AFFINE_TAILSCALE_PORT} は既に設定済みです。スキップします。"
else
    info "Tailscale Serve: ポート ${AFFINE_TAILSCALE_PORT} → localhost:${AFFINE_HOST_PORT} を追加..."
    tailscale serve --https="${AFFINE_TAILSCALE_PORT}" --bg "http://localhost:${AFFINE_HOST_PORT}"
    success "Tailscale Serve 設定追加完了"
fi

# ── systemd ユニット ─────────────────────────────────────────────────────────
info "systemd ユニットを作成します (affine.service)..."
cat > /etc/systemd/system/affine.service <<UNIT
[Unit]
Description=AFFiNE Self-Hosted (Docker Compose)
Requires=docker.service
After=docker.service network-online.target
Wants=network-online.target

[Service]
Type=oneshot
RemainAfterExit=yes
WorkingDirectory=${AFFINE_DIR}
ExecStart=/usr/bin/docker compose up -d
ExecStop=/usr/bin/docker compose down
TimeoutStartSec=300

[Install]
WantedBy=multi-user.target
UNIT

systemctl daemon-reload
systemctl enable affine.service
success "systemd ユニット登録完了"

# ── 完了サマリ ───────────────────────────────────────────────────────────────
echo ""
echo -e "${GREEN}╔══════════════════════════════════════════════════════════╗${NC}"
echo -e "${GREEN}║        AFFiNE セットアップ完了！                        ║${NC}"
echo -e "${GREEN}╚══════════════════════════════════════════════════════════╝${NC}"
echo ""
echo -e "  📝 アクセス URL:"
echo -e "     ${CYAN}https://${TS_DOMAIN}:${AFFINE_TAILSCALE_PORT}${NC}"
echo ""
echo -e "  📁 インストール先:  ${AFFINE_DIR}"
echo -e "  🔑 認証情報:        ${AFFINE_DIR}/.env  (chmod 600)"
echo -e "  💾 TS バックアップ: ${TS_SERVE_BACKUP}"
echo ""
echo -e "  🔧 管理コマンド:"
echo -e "     起動:  docker compose -f ${AFFINE_DIR}/docker-compose.yml up -d"
echo -e "     停止:  docker compose -f ${AFFINE_DIR}/docker-compose.yml down"
echo -e "     ログ:  docker compose -f ${AFFINE_DIR}/docker-compose.yml logs -f affine"
echo -e "     更新:  docker compose -f ${AFFINE_DIR}/docker-compose.yml pull && \\"
echo -e "            docker compose -f ${AFFINE_DIR}/docker-compose.yml up -d"
echo ""
echo -e "  📡 現在の Tailscale Serve 設定:"
tailscale serve status 2>/dev/null || true
echo ""
echo -e "${YELLOW}  ⚠️  初回アクセス時にメールアドレスとパスワードを設定してください${NC}"
echo -e "${GREEN}══════════════════════════════════════════════════════════════${NC}"

アカウント作成したあと日本語化

起動したらまずメールアドレスやパスワードを入力してアカウントを作成します。次にリロードして設定画面から日本語化出来ます。

とにかく多機能なので色々触ってみて判断という感じですね。

iPhoneやiPad用のアプリ

iPhoneやiPadで使えるクライアントアプリがあるのもポイントですね。普段はアプリで、いざという時もWebブラウザで、と使えます。

セルフホスト時のAFFiNE Cloudとローカル

AFFiNEをセルフホスト（Self-hosted）環境で利用する場合、Dockerなどを利用して自身のサーバー/PC上で動かすことになりますが、「AFFiNE Cloud」と「ローカル」があり混乱してしまいますが、どちらも公式のAFFiNE Web（app.affine.pro）には接続せず、完全に自分の環境だけで動作します。

Local Workspace（ローカル）データはデバイス（ブラウザのIndexedDBなど）のローカルストレージのみに保存

単一デバイスでの利用に最適。オフラインで完全に動作。
同期・リアルタイムコラボレーションは不可（他のデバイスやユーザーと共有できない）。
サーバー不要で、公式アプリやWeb版をローカルモードで使う場合に該当。
データ消失のリスクあり（ブラウザキャッシュクリアなど）。

Cloud Workspace（セルフホスト時のAFFiNE Cloud）セルフホストした自分のサーバー（Dockerなどで立てたバックエンド）にデータを保存・同期

自分のサーバーが「AFFiNE Cloud」の役割を果たすので、複数デバイス間同期、リアルタイムコラボレーション、メンバー招待などが可能。
公式AFFiNE Cloud（affine.pro）とは完全に別物。UI上では「AFFiNE Cloud」と表示されますが、自分のサーバーにしか接続しません（これが混乱の元で、GitHubイシューにもなっています）。

公式ドキュメントでは「AFFiNEはlocal-first」で、セルフホストでフル機能を使えると明記されています。結論から言うと、「どこまでデータを外部と同期させたいか」「機能制限をどこまで許容するか」が主な違いです。

1. セルフホスト時のAFFiNE Cloud利用

公式のDockerイメージを使用して、自身のサーバーでAFFiNEのサーバー機能（Cloud互換）をホストする場合です。

  • 同期機能: ユーザー認証（ログイン）や他のユーザーとのワークスペース同期機能が利用可能になる。
  • 運用形態: セルフホストでありながら、UIや機能が公式のAFFiNE Cloudに近くなる。
  • データ管理: データは自身のサーバー内に保存されるため、公式のストレージに依存しない。
  • メリット: 複数デバイスでの同期やチーム共有が可能。
  • デメリット: Docker設定が多少複雑。 [1]

2. ローカル運用（ローカルサーバー/ブラウザ）

Dockerを使用せず、デスクトップアプリやブラウザのローカルストレージ（Local Storage）に直接データを保存する運用です。

  • 同期機能: 基本的に同期機能はない（単一の端末でのみ利用可能）。
  • データ管理: データはブラウザのローカルメモリやPC内のフォルダに保存される。
  • メリット: セットアップが不要。完全にオフラインで動作し、データが外部に一切出ない。
  • デメリット: 別の端末からアクセスできない。ブラウザキャッシュをクリアするとデータが消えるリスクがある。

比較まとめ

特徴セルフホストのCloud環境ローカル運用 (ローカルのみ)
データ保存先自己のサーバー (Docker)ローカル端末/ブラウザ
同期可能 (複数端末)不可 (単一端末)
セットアップ複雑 (Docker, DB等)不要 (アプリインストール等)
ログイン機能有り無し
主な用途チーム共有・複数デバイス利用個人利用・オフライン作業

バックアップ・復元スクリプト

復元したあとは、登録したアカウントでサインインしてワークスペースを選択すれば表示されるはずです。

#!/bin/bash
set -euo pipefail
# =============================================================
#  AFFiNE スクリプト インストーラー v5
#
#  同梱スクリプト:
#    - affine-backup.sh  v5: payload/サブディレクトリ構造で保存
#    - affine-restore.sh v5: payload/対応・-U affine統一・postgres退避
#
#  使い方:
#    sudo bash affine-install-v5.sh
# =============================================================

SCRIPT_DIR="/opt/lxd-data/script/affine"
BACKUP_DIR="/opt/lxd-data/affine"

GREEN='\033[0;32m'; RED='\033[0;31m'; YELLOW='\033[1;33m'; CYAN='\033[0;36m'; NC='\033[0m'
info()    { echo -e "${GREEN}[INFO]${NC}  $*"; }
warn()    { echo -e "${YELLOW}[WARN]${NC}  $*"; }
error()   { echo -e "${RED}[ERROR]${NC} $*" >&2; }
section() { echo -e "\n${CYAN}==> $*${NC}"; }

[ "$(id -u)" -eq 0 ] || { error "root または sudo で実行してください"; exit 1; }

echo ""
echo "════════════════════════════════════════════════"
echo "  AFFiNE スクリプト インストーラー v5"
echo "════════════════════════════════════════════════"
echo ""
echo "  インストール先: ${SCRIPT_DIR}/"
echo "  バックアップ先: ${BACKUP_DIR}/"
echo ""

section "[Step 1] 自動バックアップ (cron) の設定"
echo ""
echo "    [1] 毎日    深夜 3:00"
echo "    [2] 毎週日曜 深夜 3:00"
echo "    [3] 毎月1日  深夜 3:00"
echo "    [4] cron に登録しない"
echo ""
CRON_CHOICE=""
while true; do
    read -rp "  選択してください [1-4]: " CRON_CHOICE
    case "${CRON_CHOICE}" in 1|2|3|4) break ;; *) warn "1〜4を入力してください" ;; esac
done
case "${CRON_CHOICE}" in
    1) CRON_SCHEDULE="0 3 * * *"  ; CRON_LABEL="毎日 深夜 3:00" ;;
    2) CRON_SCHEDULE="0 3 * * 0"  ; CRON_LABEL="毎週日曜 深夜 3:00" ;;
    3) CRON_SCHEDULE="0 3 1 * *"  ; CRON_LABEL="毎月1日 深夜 3:00" ;;
    4) CRON_SCHEDULE=""            ; CRON_LABEL="登録しない" ;;
esac
echo ""; info "cron 設定: ${CRON_LABEL}"

section "[Step 2] ディレクトリを作成..."
mkdir -p "${SCRIPT_DIR}" "${BACKUP_DIR}"
info "作成: ${SCRIPT_DIR}"
info "作成: ${BACKUP_DIR}"

section "[Step 3] スクリプトを展開..."
base64 -d << 'BASE64_BACKUP_EOF' > "${SCRIPT_DIR}/affine-backup.sh"
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Owplc2FjCg==
BASE64_BACKUP_EOF
info "作成: ${SCRIPT_DIR}/affine-backup.sh"

base64 -d << 'BASE64_RESTORE_EOF' > "${SCRIPT_DIR}/affine-restore.sh"
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BASE64_RESTORE_EOF
info "作成: ${SCRIPT_DIR}/affine-restore.sh"

chmod +x "${SCRIPT_DIR}/affine-backup.sh" "${SCRIPT_DIR}/affine-restore.sh"
info "実行権限を付与しました"

section "[Step 4] 整合性チェック..."
bash -n "${SCRIPT_DIR}/affine-backup.sh"  && info "affine-backup.sh  : 構文 OK" || { error "構文エラー"; exit 1; }
bash -n "${SCRIPT_DIR}/affine-restore.sh" && info "affine-restore.sh : 構文 OK" || { error "構文エラー"; exit 1; }

section "[Step 5] cron の設定..."
if [ -n "${CRON_SCHEDULE}" ]; then
    CRON_FILE="/etc/cron.d/affine-backup"
    { echo "# AFFiNE 自動バックアップ (${CRON_LABEL})";
      echo "${CRON_SCHEDULE} root bash ${SCRIPT_DIR}/affine-backup.sh >> /var/log/affine-backup.log 2>&1"; } > "${CRON_FILE}"
    chmod 644 "${CRON_FILE}"
    info "cron 登録: ${CRON_FILE} (${CRON_LABEL})"
    info "ログ: /var/log/affine-backup.log"
else
    info "cron への登録をスキップしました"
fi

echo ""
echo "════════════════════════════════════════════════"
echo -e "  ${GREEN}✅  インストール完了！${NC}"
echo "════════════════════════════════════════════════"
echo ""
echo "  📋 使い方:"
echo "    sudo bash ${SCRIPT_DIR}/affine-backup.sh        # 今すぐバックアップ"
echo "    sudo bash ${SCRIPT_DIR}/affine-backup.sh list   # 一覧表示"
echo "    sudo bash ${SCRIPT_DIR}/affine-backup.sh clean  # 古いものを削除"
echo "    sudo bash ${SCRIPT_DIR}/affine-restore.sh       # 復元 (対話形式)"
echo ""
[ -n "${CRON_SCHEDULE}" ] && echo "  ⏰ 自動バックアップ: ${CRON_LABEL}" && echo ""
  📋 使い方:
    # バックアップを今すぐ実行
    sudo bash /opt/lxd-data/script/affine/affine-backup.sh

    # バックアップ一覧を表示
    sudo bash /opt/lxd-data/script/affine/affine-backup.sh list

    # 古いバックアップを削除
    sudo bash /opt/lxd-data/script/affine/affine-backup.sh clean

    # 復元 (対話形式でバックアップ・ディレクトリを選択)
    sudo bash /opt/lxd-data/script/affine/affine-restore.sh
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