bmad-agent-builder

You can build custom AI agents through conversational discovery by using a dialogue-based process to define the agent's identity, capabilities, and behavior. This approach refines your vision into a structured persona without manual coding.

Yes, you can analyze existing AI agents for quality, efficiency, and alignment with desired outcomes. The analysis evaluates the agent's configuration to ensure it effectively meets its targeted objectives.

The best way to create an AI agent with specific personas and capabilities is through a guided conversational process. This method allows you to configure distinct agent personalities, define capabilities, and set up optional memory features.

Yes, conversational agent building supports adding custom scripts and reference materials. You can incorporate these assets during the creation process to enable further customization and specialized behavior.

You start creating an agent by running the command `bmad-agent-builder --headless -H create-agent`. This initiates the conversational discovery process to guide you through defining the agent's core parameters.

You need to configure optional memory for your custom AI agent when the workflow requires the retention of context across multiple interactions. Setting up memory allows the agent to recall previous conversational discovery inputs and maintain consistent behavior.