Metadata-Version: 2.4
Name: saguaro
Version: 0.0.1a2
Summary: A neuro-symbolic proactive OS library.
Author: Omkar Mamidpalliwar
License: MIT License
        
        Copyright (c) 2026 Omkar Mamidpalliwar
        
        Permission is hereby granted, free of charge, to any person obtaining a copy
        of this software and associated documentation files (the "Software"), to deal
        in the Software without restriction, including without limitation the rights
        to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
        copies of the Software, and to permit persons to whom the Software is
        furnished to do so, subject to the following conditions:
        
        The above copyright notice and this permission notice shall be included in all
        copies or substantial portions of the Software.
        
        THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
        IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
        FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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Project-URL: Homepage, https://github.com/coolguy2982/saguaro
Project-URL: Bug Tracker, https://github.com/coolguy2982/saguaro/issues
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.9
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: google-adk>=0.1.0
Requires-Dist: litellm
Requires-Dist: pydantic
Requires-Dist: mss
Requires-Dist: Pillow
Requires-Dist: pynput
Dynamic: license-file

# 🌵 Saguaro 🌵

Saguaro is a neuro symbolic proactive OS library built on the Google Agent Development Kit (ADK). It is designed to create proactive AI systems that act as a "Cortex" (SLM) and "Neocortex" (LLM) for your applications.

## Installation

```bash
pip install saguaro
```

# Features
Proactive Loop: Automatically monitors input streams (visual, audio, or data) and user activity.

Neuro-Symbolic Memory: Manages Short-Term and Long-Term memory with automatic pruning and consolidation.

Model Agnostic: Works with Google Gemini, OpenAI, Anthropic, or local models via LiteLlm.

Input Agnostic: Inject any nervous system (WebSocket, REST API, etc.) to drive the agent.

# Usage
```python
import asyncio
from saguaro import SaguaroKernel

async def main():
    kernel = SaguaroKernel(
        slm_model_name="gemini-2.5-flash-lite",
        llm_model_name="gemini-2.5-pro"
    )
    # Your event loop logic here
```
