EN

AI Agents Explained for Beginners (And How to Build One)

#AI Tools
2026-09-02 16:279 min read

Content Introduction
Ask Questions

The video introduces AI agents, which operate independently after being assigned a goal, effectively working while the user is not actively engaged. It contrasts traditional chatbots, which cease to function once the tab is closed, with AI agents that continue running autonomously. Viewers are guided on how to build their first AI agent using a tool called Hermes, which requires minimal technical experience. The setup process involves using a VPS for persistent operation and connecting the agent to messaging platforms like Telegram. The video emphasizes safety and cost-effectiveness, encouraging users to test the agent with non-sensitive tasks before relying on it for important jobs. Ultimately, the goal is to build a functional AI agent that learns and remembers user preferences, streamlining tasks while the user gets on with their day.

Key Information

  • The AI agents continue working even after the application has been closed, performing tasks autonomously.
  • In contrast to traditional chatbots that require user interaction, AI agents operate on a set goal and carry out tasks independently.
  • AI agents have four core components: instructions, tools, memory, and triggers. These components work in unison to execute tasks.
  • AI agents can handle more complex and varied jobs, rather than just answering questions.
  • Building an AI agent involves using tools like Hermes, which is free and open-source, allowing users to create functional agents without extensive technical knowledge.
  • Hermes integrates with multiple AI models, giving flexibility in choosing which models to deploy.
  • Setting up AI agents can be achieved quickly, typically in about 10 minutes, through simplified deployment processes.
  • Safety and reliability features ensure that AI agents only operate within designated parameters and require user confirmation for significant actions.
  • The initial setup and deployment process for AI agents can be done efficiently, minimizing the technical barriers for beginners.
  • Once established, AI agents can be programmed to perform consistent tasks, thereby providing ongoing assistance without direct oversight from the user.

Timeline Analysis

Content Keywords

AI Agents

AI agents continue to work even when the user is away, doing jobs on their own after being given a goal. Unlike traditional chatbots, AI agents can remember users and efficiently execute tasks autonomously.

Hermes

Hermes is a tool for building AI agents, offering an open-source platform that integrates memory, scheduling, and learning. It simplifies the agent setup process, allowing users to create and deploy agents without extensive technical knowledge.

OpenRouter

OpenRouter is an AI platform that allows users to access multiple AI models with a single API key, facilitating easier testing and implementation of AI solutions.

VPS

A virtual private server (VPS) is necessary for running AI agents continuously. It remains powered on, allowing agents to function even when the user is not actively using their laptop.

Deployment Process

The deployment of an AI agent involves setting up a server, obtaining necessary keys for operation, and connecting the agent to messaging platforms for communication, such as Telegram.

AI Tasks

AI agents are designed to handle more complex tasks that require judgment and decision-making, contrasting with basic automation that handles repetitive tasks.

Safety Features

Safety measures ensure that AI agents operate securely, requiring user approval before executing potentially harmful actions, thus preventing unintended errors.

User Experience

Once set up, users can delegate tasks to the AI agent, allowing it to handle routine summarization or alerts on their behalf, effectively streamlining daily responsibilities.

Related questions&answers

What are AI agents?

AI agents are systems that can perform tasks independently, even when the user is not actively engaging with them. They remember user preferences and work towards predefined goals without needing continuous input.

How do AI agents differ from traditional chatbots?

Unlike traditional chatbots, which only respond to user prompts, AI agents can operate autonomously, carrying out tasks on a schedule and remembering user specifications for future interactions.

What is required to run an AI agent?

To run an AI agent effectively, it needs to be hosted on a server that remains powered on, typically through a Virtual Private Server (VPS), ensuring it can function continuously.

How can I build my first AI agent?

You can build your first AI agent by using tools like Hermes, which is free and open source. The setup process generally involves defining its tasks and connecting it to a messaging platform.

What is the significance of memory in AI agents?

Memory allows AI agents to retain user preferences and task histories, enabling them to streamline interactions and improve efficiency by personalizing their responses over time.

What are the limitations of AI agents?

AI agents should not be entrusted with sensitive tasks or decisions until they have been tested thoroughly. Users must also ensure that the AI does not execute destructive tasks without confirmation.

How do I secure my AI agent?

To secure your AI agent, you should restrict access to approved accounts only, run it in a limited environment, and implement confirmation steps for potentially harmful actions.

What kind of tasks can I automate with AI agents?

AI agents can automate various tasks, such as summarizing information, sending reminders, managing emails, and other repetitive tasks that require less human oversight.

Can I integrate multiple AI providers with my agent?

Yes, platforms like OpenRouter allow you to connect to multiple AI providers, enabling flexibility to switch models based on task requirements.

More video recommendations

Share to: