🎯 Task-Driven Autonomous Agent System

📑 Overview

Task-Driven Autonomous Agent System using GPT-4, pinecone vector search, and the LangChain framework.

This experimental task-driven autonomous agent system is a cutting-edge AI-powered solution that leverages GPT-4, Pinecone vector search, and the LangChain framework to efficiently complete, generate, and prioritize tasks, while also providing interfaces for code, source control, file systems, documentation, and more.

Brief Description of Agents

• 📋 Task Manager Agent: Responsible for generating, managing, and prioritizing tasks in the task list.
• 🏃 Task Executor Agent: Processes and completes tasks using GPT-4 and the LangChain framework.
• 🧠 Memory Manager Agent: Manages memory storage of the system – short-term and long-term memory.
• ⚙️ Execution Context Agent: Handles external execution environments – file systems, APIs, unit tests.
• 🔒 Security and Safety Agent: Monitors and filtering throughout the process ensuring safe operation.

^{See the presentation at https://gamma.app/public/TaskDriven-Autonomous-Agent-System-m400jx4xqa22fcp.}

🔄 System Operation

The system operates in the following order:

1. Task Manager Agent generates and prioritizes tasks in the task list.
2. Task Executor Agent processes the task at the front of the task list.
3. Memory Manager Agent provides necessary memory and context for task execution.
4. Execution Context Agent interfaces with external environments to fetch data or execute tasks as needed.
5. Task Executor Agent completes tasks, storing the results, and updates the Memory Manager Agent.
6. Task Manager Agent generates tasks based on the completed task result and reprioritizes the task list.
7. Security and Safety Agent monitors and acts to maintain ethical and safety standards.

🏗️ System Architecture

High level description of the entire system, followed by details about the purpose of each of agents.

📝 Pseudocode of Task-Driven Autonomous Agent System

By using this pseudocode...