AgentCraft guides learners through designing large language model behaviors. Arrange structured blocks to assign roles, specify constraints, implement safety shields, and inject short-term memory schemas. Test agent builds inside a fully inspectable step-by-step debugger chat stage.
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Drag and drop interlocking logic components to craft AI behaviors
Defines the core prompt personality, display name, and initial agent greeting messages.
Specifies what task, analysis, or final conversational target the AI agent must resolve.
Sets short-term context sizes or persistent workspace files variables for agent context recall.
Injects custom runtime functions like calculators, text parsers, and web scrapers.
Enforces behavioral safety guidelines and content boundaries to guarantee safety parameters.