diff --git a/docs/user-scripts.md b/docs/user-scripts.md
new file mode 100644
index 00000000..d9b5fc84
--- /dev/null
+++ b/docs/user-scripts.md
@@ -0,0 +1,95 @@
+# Data Source Indexing Commands
+
+LEANN provides `index-*` CLI commands for indexing common personal data sources. Each command reads from a specific data source and builds a searchable LEANN index.
+
+## Available Commands
+
+| Command | Description | Platform |
+|---------|-------------|----------|
+| `leann index-browser [chrome\|brave]` | Browser history | macOS |
+| `leann index-email` | Apple Mail | macOS |
+| `leann index-calendar` | Apple Calendar | macOS |
+| `leann index-imessage` | iMessage conversations | macOS |
+| `leann index-wechat --export-dir <path>` | WeChat chat history | Any |
+| `leann index-chatgpt --export-path <path>` | ChatGPT export | Any |
+| `leann index-claude --export-path <path>` | Claude export | Any |
+
+## Common Options
+
+All `index-*` commands accept these options:
+
+```bash
+--index-name NAME          # Custom index name (each command has a sensible default)
+--embedding-model MODEL    # Embedding model (default: facebook/contriever)
+--embedding-mode MODE      # Backend: sentence-transformers, openai, mlx, ollama
+--max-count N              # Max items to index (default: 1000)
+--no-recompute             # Store full embeddings instead of using recomputation
+```
+
+## Examples
+
+### Index Chrome browser history
+
+```bash
+leann index-browser chrome
+leann index-browser brave --index-name brave_history
+```
+
+### Index Apple Mail
+
+```bash
+leann index-email
+```
+
+### Index iMessage
+
+```bash
+leann index-imessage
+```
+
+### Index Apple Calendar
+
+```bash
+leann index-calendar
+```
+
+### Index ChatGPT or Claude exports
+
+```bash
+# ChatGPT: export from https://chat.openai.com → Settings → Export data
+leann index-chatgpt --export-path ~/Downloads/chatgpt-export.zip
+
+# Claude: export from https://claude.ai → Settings → Export data
+leann index-claude --export-path ~/Downloads/claude-export.json
+```
+
+### Index WeChat
+
+```bash
+# Requires exported JSON files from wechat-exporter
+leann index-wechat --export-dir ~/wechat-export/
+```
+
+## Daily Automation
+
+You can schedule indexing with cron for automatic daily updates:
+
+```bash
+# Edit crontab
+crontab -e
+
+# Add entries (runs at 2 AM daily):
+0 2 * * * cd /path/to/LEANN && leann index-browser chrome
+5 2 * * * cd /path/to/LEANN && leann index-email
+10 2 * * * cd /path/to/LEANN && leann index-imessage
+```
+
+## Searching Indexed Data
+
+After indexing, search with the standard `leann search` command:
+
+```bash
+leann search browser_history "github pull request review"
+leann search email "meeting notes from last week"
+leann search imessage "dinner plans"
+```
diff --git a/packages/leann-core/src/leann/cli.py b/packages/leann-core/src/leann/cli.py
index a650750b..d6606d49 100644
--- a/packages/leann-core/src/leann/cli.py
+++ b/packages/leann-core/src/leann/cli.py
@@ -168,6 +168,10 @@ def create_parser(self) -> argparse.ArgumentParser:
   leann search my-docs "query"                                           # Search in my-docs index
   leann ask my-docs "question"                                           # Ask my-docs index
   leann react my-docs "complex question"                                 # Use ReAct agent for multiturn retrieval
+  leann index-browser chrome                                             # Index Chrome browser history
+  leann index-email                                                      # Index Apple Mail
+  leann index-imessage                                                   # Index iMessage conversations
+  leann index-chatgpt --export-path ~/chatgpt-export.zip                 # Index ChatGPT export
   leann list                                                             # List all stored indexes
   leann remove my-docs                                                   # Remove an index (local first, then global)
             """,
@@ -590,6 +594,85 @@ def create_parser(self) -> argparse.ArgumentParser:
             help="API key for cloud LLM providers (OpenAI, Anthropic)",
         )
 
+        # ── index-* commands: data source indexing ──────────────────────
+
+        def _add_index_args(p, default_name):
+            """Add common embedding and index args to an index-* subparser."""
+            p.add_argument(
+                "--index-name",
+                type=str,
+                default=default_name,
+                help=f"Index name (default: {default_name})",
+            )
+            p.add_argument(
+                "--embedding-model", type=str, default="facebook/contriever", help="Embedding model"
+            )
+            p.add_argument(
+                "--embedding-mode",
+                type=str,
+                default="sentence-transformers",
+                choices=["sentence-transformers", "openai", "mlx", "ollama"],
+                help="Embedding backend",
+            )
+            p.add_argument("--embedding-host", type=str, default=None, help="Ollama embedding host")
+            p.add_argument(
+                "--embedding-api-base",
+                type=str,
+                default=None,
+                help="OpenAI-compatible embedding base URL",
+            )
+            p.add_argument("--embedding-api-key", type=str, default=None, help="Embedding API key")
+            p.add_argument(
+                "--max-count", type=int, default=1000, help="Max items to index (default: 1000)"
+            )
+            p.add_argument(
+                "--no-recompute",
+                action="store_true",
+                help="Disable embedding recomputation (stores full embeddings)",
+            )
+
+        idx_browser = subparsers.add_parser(
+            "index-browser", help="Index browser history (Chrome/Brave)"
+        )
+        _add_index_args(idx_browser, "browser_history")
+        idx_browser.add_argument(
+            "browser",
+            nargs="?",
+            default="chrome",
+            choices=["chrome", "brave"],
+            help="Browser to index (default: chrome)",
+        )
+
+        idx_email = subparsers.add_parser("index-email", help="Index Apple Mail")
+        _add_index_args(idx_email, "email")
+
+        idx_calendar = subparsers.add_parser("index-calendar", help="Index Apple Calendar events")
+        _add_index_args(idx_calendar, "calendar")
+
+        idx_imessage = subparsers.add_parser("index-imessage", help="Index iMessage conversations")
+        _add_index_args(idx_imessage, "imessage")
+
+        idx_wechat = subparsers.add_parser("index-wechat", help="Index WeChat chat history")
+        _add_index_args(idx_wechat, "wechat")
+        idx_wechat.add_argument(
+            "--export-dir", type=str, required=True, help="Path to WeChat JSON export directory"
+        )
+
+        idx_chatgpt = subparsers.add_parser("index-chatgpt", help="Index ChatGPT export")
+        _add_index_args(idx_chatgpt, "chatgpt")
+        idx_chatgpt.add_argument(
+            "--export-path",
+            type=str,
+            required=True,
+            help="Path to ChatGPT export (chat.html or .zip)",
+        )
+
+        idx_claude = subparsers.add_parser("index-claude", help="Index Claude export")
+        _add_index_args(idx_claude, "claude")
+        idx_claude.add_argument(
+            "--export-path", type=str, required=True, help="Path to Claude export (.json or .zip)"
+        )
+
         # List command
         subparsers.add_parser("list", help="List all indexes")
 
@@ -2753,6 +2836,177 @@ def _ask_once(prompt: str) -> None:
 
             _ask_once(query)
 
+    # ── index-* shared handler ──────────────────────────────────────
+
+    async def _build_index_from_documents(self, args, documents: list):
+        """Shared builder for all index-* commands.
+
+        Accepts a list of llama-index Document objects (or dicts with 'text' and
+        'metadata' keys), builds a LEANN index with proper embedding and
+        recomputation settings.
+        """
+        if not documents:
+            print("No documents loaded — nothing to index.")
+            return
+
+        index_name = args.index_name
+        index_path = self.get_index_path(index_name)
+        is_recompute = not getattr(args, "no_recompute", False)
+
+        print(f"Building index '{index_name}' with {len(documents)} documents...")
+        print(f"  Embedding: {args.embedding_model} ({args.embedding_mode})")
+        print(f"  Recompute: {is_recompute}")
+
+        for attr in (
+            "embedding_prompt_template",
+            "query_prompt_template",
+            "embedding_host",
+            "embedding_api_base",
+            "embedding_api_key",
+        ):
+            if not hasattr(args, attr):
+                setattr(args, attr, None)
+
+        embedding_options = self._build_embedding_options(args) or None
+
+        builder = LeannBuilder(
+            backend_name="hnsw",
+            embedding_model=args.embedding_model,
+            embedding_mode=args.embedding_mode,
+            embedding_options=embedding_options,
+            is_recompute=is_recompute,
+        )
+
+        for doc in documents:
+            if hasattr(doc, "text"):
+                builder.add_text(
+                    doc.text, metadata=doc.metadata if hasattr(doc, "metadata") else {}
+                )
+            elif isinstance(doc, dict):
+                builder.add_text(doc["text"], metadata=doc.get("metadata", {}))
+
+        builder.build_index(index_path)
+        self.register_project_dir()
+        print(f"Index '{index_name}' built at {index_path}")
+
+    async def index_browser(self, args):
+        """Index browser history (Chrome or Brave)."""
+        from apps.history_data.history import ChromeHistoryReader
+
+        browser = getattr(args, "browser", "chrome")
+        profile_paths = {
+            "chrome": "~/Library/Application Support/Google/Chrome/Default",
+            "brave": "~/Library/Application Support/BraveSoftware/Brave-Browser/Default",
+        }
+        profile = os.path.expanduser(profile_paths.get(browser, profile_paths["chrome"]))
+        reader = ChromeHistoryReader()
+        docs = reader.load_data(chrome_profile_path=profile, max_count=args.max_count)
+        print(f"Loaded {len(docs)} {browser} history entries")
+        await self._build_index_from_documents(args, docs)
+
+    async def index_email(self, args):
+        """Index Apple Mail."""
+        from apps.email_data.LEANN_email_reader import EmlxReader, find_all_messages_directories
+
+        msg_dirs = find_all_messages_directories()
+        if not msg_dirs:
+            print("No Apple Mail Messages directories found.")
+            return
+        reader = EmlxReader()
+        docs = []
+        for msg_dir in msg_dirs:
+            docs.extend(reader.load_data(str(msg_dir), max_count=args.max_count))
+        await self._build_index_from_documents(args, docs)
+
+    async def index_calendar(self, args):
+        """Index Apple Calendar events."""
+        import shutil
+        import sqlite3
+
+        from llama_index.core import Document
+
+        docs = []
+        calendar_cache = Path.home() / "Library/Calendars/Calendar Cache"
+        if not calendar_cache.exists():
+            print("Apple Calendar Cache not found.")
+            return
+
+        temp_db = "/tmp/leann_calendar_index_copy"
+        try:
+            shutil.copy2(calendar_cache, temp_db)
+            conn = sqlite3.connect(temp_db)
+            cursor = conn.cursor()
+            cursor.execute(
+                """
+                SELECT summary, description, location,
+                       datetime(start_date + 978307200, 'unixepoch', 'localtime') as start,
+                       datetime(end_date + 978307200, 'unixepoch', 'localtime') as end_time
+                FROM CI_EVENT ORDER BY start_date DESC LIMIT ?
+                """,
+                (args.max_count,),
+            )
+            for summary, description, location, start, end_time in cursor.fetchall():
+                if not summary:
+                    continue
+                text = (
+                    f"Event: {summary}\nStart: {start}\nEnd: {end_time}\n"
+                    f"Location: {location or ''}\nDescription: {description or ''}"
+                )
+                docs.append(Document(text=text, metadata={"event": summary, "start": start}))
+            conn.close()
+        except Exception as e:
+            print(f"Error reading Apple Calendar: {e}")
+        finally:
+            if os.path.exists(temp_db):
+                os.remove(temp_db)
+        await self._build_index_from_documents(args, docs)
+
+    async def index_imessage(self, args):
+        """Index iMessage conversations."""
+        from apps.imessage_data.imessage_reader import IMessageReader
+
+        reader = IMessageReader(concatenate_conversations=True)
+        docs = reader.load_data()
+        print(f"Loaded {len(docs)} iMessage conversations")
+        await self._build_index_from_documents(args, docs)
+
+    async def index_wechat(self, args):
+        """Index WeChat chat history from exported JSON."""
+        from apps.history_data.wechat_history import WeChatHistoryReader
+
+        reader = WeChatHistoryReader()
+        docs = reader.load_data(
+            input_dir=args.export_dir,
+            max_count=args.max_count,
+            concatenate_messages=True,
+        )
+        print(f"Loaded {len(docs)} WeChat conversations")
+        await self._build_index_from_documents(args, docs)
+
+    async def index_chatgpt(self, args):
+        """Index ChatGPT export data."""
+        from apps.chatgpt_data.chatgpt_reader import ChatGPTReader
+
+        reader = ChatGPTReader(concatenate_conversations=True)
+        docs = reader.load_data(
+            input_dir=args.export_path,
+            max_count=args.max_count,
+        )
+        print(f"Loaded {len(docs)} ChatGPT conversations")
+        await self._build_index_from_documents(args, docs)
+
+    async def index_claude(self, args):
+        """Index Claude export data."""
+        from apps.claude_data.claude_reader import ClaudeReader
+
+        reader = ClaudeReader(concatenate_conversations=True)
+        docs = reader.load_data(
+            input_dir=args.export_path,
+            max_count=args.max_count,
+        )
+        print(f"Loaded {len(docs)} Claude conversations")
+        await self._build_index_from_documents(args, docs)
+
     async def react_agent(self, args):
         """Run ReAct agent for multiturn retrieval."""
         index_name = args.index_name
@@ -2892,6 +3146,26 @@ async def run(self, args=None):
                 await self.react_agent(args)
         elif args.command == "serve":
             await self.serve_api(args)
+        elif args.command in (
+            "index-browser",
+            "index-email",
+            "index-calendar",
+            "index-imessage",
+            "index-wechat",
+            "index-chatgpt",
+            "index-claude",
+        ):
+            handler = {
+                "index-browser": self.index_browser,
+                "index-email": self.index_email,
+                "index-calendar": self.index_calendar,
+                "index-imessage": self.index_imessage,
+                "index-wechat": self.index_wechat,
+                "index-chatgpt": self.index_chatgpt,
+                "index-claude": self.index_claude,
+            }[args.command]
+            with suppress_cpp_output(suppress):
+                await handler(args)
         else:
             parser.print_help()