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/__init__.py

@@ -0,0 +1 @@
+"""Data Models for Graph Memory TUI"""

graph_memory_tui/models/config.py

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+"""配置数据模型"""
+
+import json
+import os
+from dataclasses import dataclass, asdict
+from pathlib import Path
+from typing import Optional
+
+
+@dataclass
+class AppConfig:
+    """应用配置"""
+    api_key: str = ""
+    model: str = "deepseek-chat"
+    base_url: str = "https://api.deepseek.com"
+
+    @classmethod
+    def from_env(cls) -> "AppConfig":
+        """从环境变量加载配置"""
+        return cls(
+            api_key=os.getenv("DEEPSEEK_API_KEY", ""),
+            model=os.getenv("MODEL_NAME", "deepseek-chat"),
+            base_url=os.getenv("DEEPSEEK_BASE_URL", "https://api.deepseek.com"),
+        )
+
+    @classmethod
+    def from_file(cls, path: Path) -> "AppConfig":
+        """从文件加载配置"""
+        if not path.exists():
+            return cls()
+
+        with open(path, "r", encoding="utf-8") as f:
+            data = json.load(f)
+
+        return cls(
+            api_key=data.get("api_key", ""),
+            model=data.get("model", "deepseek-chat"),
+            base_url=data.get("base_url", "https://api.deepseek.com"),
+        )
+
+    def save(self, path: Path) -> None:
+        """保存配置到文件"""
+        path.parent.mkdir(parents=True, exist_ok=True)
+
+        with open(path, "w", encoding="utf-8") as f:
+            json.dump(asdict(self), f, indent=2, ensure_ascii=False)

graph_memory_tui/models/log_entry.py

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+"""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

graph_memory_tui/models/message.py

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+"""消息数据模型"""
+
+from dataclasses import dataclass, field
+from datetime import datetime
+from typing import Dict, List, Literal, Optional, Any
+
+
+@dataclass
+class ToolCall:
+    """工具调用"""
+    id: str
+    name: str
+    arguments: Dict[str, Any]
+
+
+@dataclass
+class ToolResult:
+    """工具执行结果"""
+    tool_call_id: str
+    name: str
+    arguments: Dict[str, Any]
+    result: str
+    success: bool
+
+
+@dataclass
+class Message:
+    """消息"""
+    role: Literal["user", "assistant", "system"]
+    content: str
+    timestamp: datetime = field(default_factory=datetime.now)
+    tool_calls: Optional[List[ToolCall]] = None
+    tool_results: Optional[List[ToolResult]] = None