agent.py

from memory import MemoryVectorStore

memory = MemoryVectorStore()

def run_agent(goal):
    memory.add(goal)
    ideas = memory.search(goal)
    # Assume goal is passed into LLM with memory summary
    summary = " ".join(ideas)
    result = f"[Task]: {goal}\n[Memory]: {summary}\n[Response]: working on it..."
    memory.add(result)
    return result