LadyOl

    Object-based prompt injection system for AI agents.
    
    ## Features
    
    - **Context Injection** - Inject past experiences and project context into messages
    - **Context Closure** - Store task outcomes for continuous learning
    - **Identity Management** - Persistent agent identity documents in Glain
    - **Memory System** - Two-layer memory (MEMORY.md + Glain)
    - **Skills Loading** - Load and manage agent skills
    - **Prompt Scaling** - Automatically adjust prompt complexity based on model capability
    
    ## Installation
    
    ```bash
    pip install ladyol
    ```
    
    ## Usage
    
    ```bash
    # Run LadyOL
    ladyol run
    
    # Check status
    ladyol status
    ```
    
    ### Options
    
    | Argument | Type | Required | Default | Description |
    |----------|------|----------|---------|-------------|
    | `--verbose` / `-v` | flag | No | false | Enable verbose output |
    | `--config` / `-c` | path | No | None | Path to configuration file |
    
    ### Commands
    
    #### `run`
    Run the main operation.
    
    ```bash
    ladyol run
    ```
    
    #### `status`
    Check project status.
    
    ```bash
    ladyol status
    ```
    
    ## Quick Start
    
    ```python
    from pathlib import Path
    from ladyol import LadyOlPromptEngine, LadyOlConfig
    
    # Initialize the engine
    config = LadyOlConfig()
    engine = LadyOlPromptEngine(
        workspace=Path("./workspace"),
        config=config,
    )
    
    # Inject context into messages
    messages = [{"role": "user", "content": "What was I working on?"}]
    updated_messages = await engine.inject_context(messages)
    
    # Get memory context
    memory_context = engine.get_memory_context()
    
    # Get skills summary
    skills = engine.get_skills_summary()
    ```
    
    ## Architecture
    
    ```
    ladyol/
    ├── agent/           # Core agent components
    │   ├── context_closure.py
    │   ├── context_injector.py
    │   ├── identity.py
    │   ├── memory.py
    │   ├── prompt_scaler.py
    │   └── skills.py
    ├── config/          # Configuration schemas
    ├── prompt/          # Prompt engine
    └── utils/          # Utilities
    ```
    
    ## License
    
    MIT