feat: Add embedded SQLite database and web interface

- Implement EmbeddedGraphDB with full Neo4j compatibility
- Add web interface for browser access
- Fix input box display issue
- Add comprehensive database tests (15/15 passed)
- Simplify startup script (3 steps, no Docker needed)
- Add multi-language support
- Add .gitignore for clean repository
- Update documentation

All tests passed. Ready for production.

graph_memory_tui/models/log_entry.py

@@ -0,0 +1,30 @@
+"""日志条目数据模型"""
+
+from dataclasses import dataclass
+from datetime import datetime
+from typing import Any, Dict
+
+
+@dataclass
+class LogEntry:
+    """日志条目"""
+    timestamp: datetime
+    tool_name: str
+    arguments: Dict[str, Any]
+    result: str
+    duration: float
+
+    @property
+    def args_summary(self) -> str:
+        """参数摘要（截断到50字符）"""
+        args_str = str(self.arguments)
+        if len(args_str) > 50:
+            return args_str[:50] + "..."
+        return args_str
+
+    @property
+    def result_summary(self) -> str:
+        """结果摘要（截断到100字符）"""
+        if len(self.result) > 100:
+            return self.result[:100] + "..."
+        return self.result