BabyAGI

BabyAGI was one of the first multi-agent systems that used LLMs for performing useful tasks. It makes use of several different types of agents, such as a task creation agent and an execution agent, as shown in the diagram below.

However, here's Yohei (creator of BabyAGI) admitting that BabyAGI isn't a true multi-agent system since the agents use the same LLM and code base, and run on the same server.

Using the Naptha SDK and node infrastructure, we implemented BabyAGI as a true multi-agent system for the first time. You can check out a demo video of this multi-node workflow here.

Prerequisities

Make sure you have the Naptha SDK installed.

Modules Used

The BabyAGI multi-node workflow is made up of the following components, which you can find on the Naptha GitHub:

• BabyAGI Orchestrator Flow
• BabyAGI Task Initiator
• BabyAGI Task Finalizer
• BabyAGI Task Executor

Run

You can run the BabyAGI flow from the SDK using the following command:

naptha run babyagi -p "objective='Research the history of football'" --worker_nodes "http://node.naptha.ai:7001,http://node1.naptha.ai:7001"

This runs the flow across three nodes in total - one orchestrator node (whichever you have set as the NODE_URL in the .env file of the Naptha SDK), and two worker nodes (that you have set using the --worker_nodes flag).