Agents are the core building blocks of Agentuity. Each agent handles a specific task with schema validation, AI integration, and lifecycle hooks.
Creating Agents
Learn how to create agents with schemas and handlers
Workbench
Test agents locally with the built-in UI
Schema Libraries
Use Zod, Valibot, or the built-in schema library
AI Gateway
Route LLM calls through OpenAI, Anthropic, and more
AI SDK Integration
Use Vercel AI SDK with Agentuity
Streaming Responses
Return real-time streaming responses
State Management
Persist data with thread and session state
Calling Other Agents
Build multi-agent systems
Standalone Execution
Run agents outside HTTP requests
Evaluations
Automated quality checks after each execution
Events & Lifecycle
Hook into agent lifecycle events