Introduction to AI agents

this page reflects a previous version of make ai agents for the latest information, see docid\ rxryasa6852hvhkz6nhxu the make ai agents app is available on all plans using make's ai provider , with the option to use custom ai provider connections on paid plans the app is available in open beta , so both product functionality and pricing may change an ai agent is an autonomous system that acts to achieve its goals while following certain r ules think of it like a skilled assistant who performs tasks for you after understanding what you want to do {{product name}} ai agents consist of a few fundamental components that can be thought of as a brain (llm), instructions (system prompt), memory (context), tools (modules, scenarios and mcp tools), and thinking process (reasoning) a large language model (llm) acts as the agent's brain, powering its reasoning for decision making the system prompt instructs the agent on how to behave like a job description, it defines its role, limitations, and processes context , or files stored in the agent's long term memory, provides extra information that helps the agent tailor its responses to your needs for example, an internal knowledge base or company policies t ools provide the agent with the capabilities to achieve its goals in {{product name}} , those can include modules, {{scenario plural lowercase}} , and mcp tools reasoning is the agent's thought process when approaching its tasks when you use a reasoning model in an agent, docid\ mdyjgeeiirrxmd607v1xg is visible when the agent believes that deeper reasoning is required in the next section, you will explore these concepts in more detail