A general-purpose agent is one that is capable of addressing a variety of user queries and use cases with minimal customization. It's an excellent tool to quickly explore and prototype different use cases. This article provides a detailed overview on how to build generalist single agents.

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Learn how to build a general-purpose LLM agent with a step-by-step guide that covers model selection, designing control logic, core instructions, tool definition, memory handling, parsing raw output, and orchestrating steps. Starting with a single-agent setup is ideal for prototyping before scaling to more complex systems.

How to Build a General-Purpose LLM Agent

Step 3. Define the agent’s core instructions

Step 4. Define and optimize your core tools

Step 5. Decide on a memory handling strategy