Developing an AI agent is a complicated process. Luckily, developers can use tools like the tech stack to streamline the process. The tech stack is a system of layered tools that enable the agent to reason and act.
The starting point for agent development is data. Having access to accurate data is what allows the agent to understand the world around it. Using the data collection and integration layer, developers can provide their agents with the background that they need to make well-informed decisions.
Another important layer is agent frameworks. These frameworks are the blueprints for building smarter and more complex agents. More specifically, agent frameworks define how agents reason, interact with tools and collaborate with other agents.
There are many other layers to the tech stack as well. For instance, developers will want to consider memory, tool libraries and sandboxes. Each layer helps the developer get one step closer to a successful agent.
Learn more about navigating the AI agent tech stack in the infographic below, courtesy of Bright Data:
Source: Bright Data
