A neuro-symbolic proactive OS library.
Project description
🌵 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
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
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
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