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What is an Agent?

An agent is an autonomous unit that carries out specific tasks with minimal human oversight. In GenFuse AI, agents work as specialized team members, each configured with a unique function and goal. They harness the power of large language models (LLMs) to make decisions, execute multi-step operations, and interact with external tools —all while maintaining context and adapting as needed.
The more specialized an agent, the better it’s performance. For example a Researcher agent will excel at gathering information, whereas a Writer agent will be great at creating a proposal from that research report.

Building an Agent

Creating an agent is a streamlined process that lets you specify the task, configure inputs, and integrate any necessary tools. Here’s how you can get started:

Build with AI

Describe the task you want your agent to perform, and let AI build a powerful agent for you. It’ll set up the agent’s instructions and add the necessary tools based on your task. You can then customize the agent to fit your needs.

Build From Scratch

Design your own agent with a clear goal in mind. Then select LLM, define parameters, and configure tools. This allows you to have full customization to what you want your agent to do.

Key Agent Components

When designing your agent, consider the following essential attributes that define its behavior and performance: Here’s your table correctly formatted with all text left-aligned, including the header:

Exporting & Reusing Agents

Once your agent is fine-tuned and operating as desired, you can export it. This will create a copy of this agent in your agent library, which you can then reuse across other agent workflows.
Export agent