Courseware / AI Agents / course-105
Building a Self-Improving AI Agent
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🎙 Podcast Version

2-host dialogue — ALEX & SAM discuss this course.

Building a Self-Improving AI Agent

Overview

In this course, we will learn how to build an AI agent with a self-improving brain using Hermes, a VPS, and Obsidian vault via Filesystem MCP. This setup allows the AI agent to pull information from the Obsidian vault for reasoning and write back its outputs as new notes, enabling a self-improving feedback loop.

Background & Context

The concept of AI agents has been around for a while, but the idea of creating a self-improving AI agent is relatively new. This approach leverages the power of an AI agent and combines it with the capabilities of a self-improving system, allowing the AI to learn and adapt over time.

In this specific implementation, the AI agent uses an Obsidian vault as its knowledge base, which is a personal knowledge management system that stores information in plain text markdown files. The vault is connected to the AI agent via Filesystem MCP, which allows the agent to access and modify the information in the vault.

Core Concepts

AI Agent

An AI agent is a software program that uses artificial intelligence techniques to perform tasks or solve problems. It can perceive its environment, learn from experience, and take actions to achieve its goals.

Self-Improving System

A self-improving system is a type of AI system that can learn and improve its performance over time. It does this by using the results of its previous actions to modify its behavior and make better decisions in the future.

Hermes

Hermes is a VPS (Virtual Private Server) that runs the AI agent. It provides the computational resources necessary for the AI to perform its tasks and access the Obsidian vault.

Obsidian Vault

An Obsidian vault is a personal knowledge management system that stores information in plain text markdown files. It allows users to organize their notes and ideas in a flexible and customizable way.

Filesystem MCP

Filesystem MCP is a protocol that allows the AI agent to access and modify the Obsidian vault. It enables the AI to pull information from the vault for reasoning and write back its outputs as new notes.

How It Works / Step-by-Step

  1. Set up an Obsidian vault to store the AI agent's knowledge base.
  2. Connect the Obsidian vault to the VPS using Filesystem MCP.
  3. Install and run the AI agent on the VPS.
  4. Configure the AI agent to pull information from the Obsidian vault for reasoning.
  5. Set up the AI agent to write back its outputs as new notes in the Obsidian vault.
  6. Test the AI agent and iterate on its performance to improve its self-improving capabilities.

Real-World Examples & Use Cases

  • A self-improving AI agent can be used to automate repetitive tasks, such as data entry or customer service.
  • It can also be used to improve the performance of a system over time, such as a recommendation engine or a fraud detection system.
  • A self-improving AI agent can be used in personal knowledge management to help users organize and make sense of their notes and ideas.

Key Insights & Takeaways

  • A self-improving AI agent can learn and adapt over time, making it more effective and efficient.
  • The use of an Obsidian vault as a knowledge base allows the AI agent to access a large amount of information and write back its outputs as new notes.
  • The use of Filesystem MCP enables the AI agent to access and modify the Obsidian vault, making it a powerful tool for self-improvement.
  • The AI agent's performance should be tested and iterated on to improve its self-improving capabilities.

Common Pitfalls / What to Watch Out For

  • Make sure the Obsidian vault is properly set up and connected to the VPS using Filesystem MCP.
  • Ensure that the AI agent is properly configured to pull information from the Obsidian vault and write back its outputs as new notes.
  • Test the AI agent's performance and iterate on its configuration to improve its self-improving capabilities.

Review Questions

  1. What is an AI agent and how does it work?
  2. What is a self-improving system and how does it differ from a traditional AI system?
  3. How does the use of an Obsidian vault and Filesystem MCP enable a self-improving AI agent?
  4. How can a self-improving AI agent be used in real-world scenarios?
  5. What are the key insights and takeaways from building a self-improving AI agent?

Further Learning

  • Learn more about AI agents and their applications.
  • Explore different techniques for building self-improving systems.
  • Learn more about personal knowledge management and the Obsidian vault.
  • Research different protocols for accessing and modifying filesystems, such as FUSE or SSHFS.
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