The tech stack is a web of tools that assist in the construction of a successful AI agent. Taking advantage of the tools within the tech stack can help developers create the best agents possible.
Data collection and integration is the first layer of the tech stack. Without data, the agent would have no concept of the world in which it operates, rendering the agent useless. By programming the agent to be able to tap into the public web and access real-world and high-quality data, developers ensure that the agent has the necessary context.
Sandboxes are another important layer. This layer provides agents with a safe and isolated environment where the agent can write and run code. Testing codes in a sandbox helps the agent perfect its reasoning and decision-making.
Developers should also focus on storage. This layer is where agents keep their history and knowledge. Having a place to store past interactions and knowledge is vital when it comes to continuous improvement, as the agent can learn from past mistakes and successes.
These are only a few of the layers in the tech stack. Other layers include memory, agent hosting services, observability, and more. Paying careful attention to each layer will ensure that agents are developing smoothly. 
Source: Bright Data
