Single Agent
Build your first AI agent
Multi-Agent Systems
Orchestrate multiple agents working together
Workflows
Create complex agent workflows
RAG & Knowledge
Add knowledge bases to your agents
Persistence
Save and resume agent sessions
Deployment
Deploy agents to production
Quick Start
By Topic
Agent Patterns
- Single Agent - Build a single AI agent
- Multi-Agent Systems - Multiple agents working together
Workflows
- Routing Workflow - Route tasks to specialized agents
- Parallel Workflow - Run agents in parallel
- Sequential Workflow - Chain agents sequentially
- Orchestrator Pattern - Central orchestrator managing agents
RAG & Knowledge
- Knowledge Base Setup - Create and configure knowledge bases
- Chunking Strategies - Optimize document chunking
- Retrieval Methods - Configure retrieval strategies
Persistence
- Overview - Persistence concepts
- Database Setup - Configure database backends
- Session Resume - Resume interrupted sessions
Deployment
Best Practices
Start with a single agent
Start with a single agent
Begin with one agent before building multi-agent systems. Get comfortable with instructions and tools first.
Use clear, specific instructions
Use clear, specific instructions
Agent instructions should be specific and action-oriented. Vague instructions lead to inconsistent behavior.
Add tools incrementally
Add tools incrementally
Add one tool at a time and verify each works before combining multiple tools in one agent.
Test with simple tasks first
Test with simple tasks first
Validate your agent with simple tasks before giving it complex, multi-step workflows.

