Guides

Step-by-step guides for building with PraisonAI

Next

Learn how to build AI agents with PraisonAI through practical, step-by-step guides.

from praisonaiagents import Agent

agent = Agent(
    name="Assistant",
    instructions="You are a helpful assistant.",
)

agent.start("Hello! What can you help me with?")

The user starts with a guide that matches their goal, runs the sample agent, then extends it step by step.

Quick Start

1. Install PraisonAI

   pip install praisonaiagents
   export OPENAI_API_KEY=your_api_key

2. Create your first agent

   from praisonaiagents import Agent
   
   agent = Agent(
       name="Assistant",
       instructions="You are a helpful assistant.",
   )
   
   agent.start("Hello! What can you help me with?")

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

• Overview – Deployment options
• Docker – Deploy with Docker

Best Practices