@ -1,3 +1,10 @@
#input agent or multiple: => it handles multi agent communication, it handles task assignment, task execution, report back with a status, auto scaling, number of agent nodes,
"""
from swarms import WorkerNode , Orchestrate
Orchestrate ( WorkerNode , autoscale = True , nodes = int , swarm_type = " flat " )
"""
from abc import ABC , abstractmethod
import celery
from typing import List , Dict , Any
@ -29,3 +36,9 @@ class Orchestrator(ABC):
def get_vector_db ( self ) - > np . ndarray :
""" Retrieve the vector database """
pass
#PRE CONFIGURED AGENTS WITH domain explicit TOOLS
#Build your own Agent
# Learn from previous runs in session management => it's a sucessful run => omniversal memory for all swarms