Two-Agents System

This project demonstrates a multi-agent system using Redis Pub/Sub and Google Gemini API. There are four agents that communicate in a pipeline:

1. Agent Main: Starts the process by sending a learning goal.
2. Agent Planner: Creates a step-by-step learning plan.
3. Agent Critic: Critiques or suggests improvements to the plan.
4. Agent Decider: Finalizes the plan and sends it back to the main agent.

Architecture

Agent Main → Agent Planner → Agent Critic → Agent Decider → Agent Main

Prerequisites

• Go
• Docker
• A Google Gemini API key (set as GEMINI_API_KEY in a .env file in each agent's folder)

Run Redis

Start Redis using Docker:

docker run -p 6379:6379 redis

Running the Agents

Open four terminals, one for each agent:

Terminal 1: Agent Main

cd AgentA
go run main.go

Terminal 2: Agent Planner

cd AgentB
go run main.go

Terminal 3: Agent Critic

cd AgentC
go run main.go

Terminal 4: Agent Decider

cd AgentD
go run main.go

How It Works

• Agent Main sends a learning goal (e.g., "I want to learn React").
• Agent Planner generates a learning plan.
• Agent Critic reviews and suggests improvements.
• Agent Decider finalizes the plan and returns it to Agent Main.

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Feel free to modify the agents or the workflow to suit your needs!