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docs/en/architecture.md
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docs/en/architecture.md
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# TrulyMEM Architecture
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## Core Principles
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- Keyboard-driven, zero mouse dependency
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- Minimalist visual, information density priority
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- Tool traces hidden by default, expandable when needed
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- TUI & backend separation, multi-threaded communication
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- **Everything is a graph**, AI reasoning runs entirely in backend
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## Project Structure
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```
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TrulyMEM-TrueHumanMEM/
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├── trulymem_entry.py # Entry: start core → then ui
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├── core/ # Backend/business logic
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│ ├── __init__.py # Export BackendServer, BackendClient, EmbeddedGraphDB
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│ ├── server.py # BackendServer (Packet communication protocol)
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│ ├── client.py # BackendClient (Packet protocol client)
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│ ├── embedded_db.py # SQLite graph database implementation
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│ ├── graph_client.py # OpenAI/DeepSeek API client
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│ ├── tool_executor.py # Tool executor
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│ ├── tool_limiter.py # Tool call limiter
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│ ├── tools/ # Tool definitions
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│ │ ├── __init__.py
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│ │ └── memory_tools.py
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│ └── prompts/ # Prompt management
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├── ui/ # TUI display layer (display only, no AI logic)
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│ ├── __init__.py # Export GraphMemoryApp, AppConfig
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│ ├── app.py # GraphMemoryApp (communicates via BackendClient)
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│ ├── widgets/ # TUI components
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│ ├── handlers/ # Event handlers
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│ ├── models/ # Data models
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│ ├── services/ # Service layer (config only)
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│ └── styles/ # Style files
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└── tests/ # Tests (42 tests)
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```
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## Architecture Diagram
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```
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trulymem_entry.py
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│
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├─ BackendServer.start() → Runs in independent thread
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│ ├─ Handle PROCESS_MESSAGE requests → AI reasoning + tool calls
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│ ├─ Handle EXECUTE_TOOL requests → External tool calls (unlimited)
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│ ├─ Handle GET/SET_CONFIG requests
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│ └─ Manage GraphMemoryClient, EmbeddedGraphDB
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│
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└─ GraphMemoryApp(backend_server=server)
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│
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└─ BackendClient ← Packet communication → BackendServer
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```
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## Component Responsibilities
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### core/ (Backend)
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| Component | Responsibility |
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|------------|----------------|
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| `server.py` | Packet protocol, multi-threaded queue, AI reasoning, tool limits |
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| `client.py` | Client wrapper, UI-backend communication bridge |
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| `embedded_db.py` | SQLite graph database CRUD |
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| `graph_client.py` | OpenAI/DeepSeek API client |
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| `tool_executor.py` | Tool execution logic |
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| `tool_limiter.py` | Tool call rate limit (AI reasoning only) |
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### ui/ (Display Layer)
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| Component | Responsibility |
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|------------|----------------|
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| `app.py` | Textual app main class, communicates via BackendClient |
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| `services/` | Config management only, no AI logic |
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### Communication Protocol
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UI and backend interact via **Packet Communication Protocol**:
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```python
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from core import BackendServer, BackendClient, Packet, PacketType
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# Backend startup
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server = BackendServer(db_path="graph_memory.db", use_embedded_db=True)
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server.start(api_key="your-key")
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# Client communication
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client = BackendClient(server)
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result = client.process_message("hello") # AI reasoning
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result = client.execute_tool("memory_introspect", {}) # Direct tool call
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```
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---
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## Data Flow
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```
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User input → InputBox → on_input_box_send_message
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↓
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BackendClient.process_message(user_input)
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↓
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Packet (type=PROCESS_MESSAGE) → queue.Queue
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↓
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BackendServer (independent thread)
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<20><><EFBFBD>
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GraphMemoryClient.send_message_with_history()
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↓
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OpenAI API / DeepSeek API
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↓
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execute_tool() + ToolLimiter (limited during AI reasoning)
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↓
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EmbeddedGraphDB (graph database)
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↓
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Loop API calls until no tool_calls
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↓
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Packet response returns
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↓
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MessageHistory displays
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```
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---
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## Startup Flow
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```python
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# trulymem_entry.py
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def main():
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# Config file saved in application root
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config_file = application_path / "config.json"
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# Load config
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config_service = ConfigService(config_file=config_file)
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config = config_service.get_config()
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# Create backend
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backend_server = BackendServer(db_path="graph_memory.db", use_embedded_db=True)
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backend_server.start(api_key=config.api_key, base_url=config.base_url)
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# Create UI
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app = GraphMemoryApp(backend_server=backend_server, config_service=config_service)
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app.run()
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backend_server.shutdown()
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```
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---
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## Tool System
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### Memory Tools (6)
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- `memory_recall` - Retrieve memory
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- `memory_commit` - Write memory
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- `memory_purge` - Delete memory
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- `memory_introspect` - View status
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- `memory_archive` - Archive memory
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- `memory_cleanup` - Clean data
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### Persona Tools (2)
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- `persona_update` - Update persona
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- `persona_clear` - Clear persona
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### Task Tools (4)
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- `task_create` - Create task
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- `task_set_state` - Set state
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- `task_delete` - Delete task
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- `task_link_info` - Link information
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---
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## Error Handling Principle
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All APIs **do not throw exceptions**, errors are passed via return dictionary:
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```python
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result = client.process_message("hello")
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if result.get("success"):
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print(result["content"])
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else:
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print(result["error"]) # Error description
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