Building Conversational Agents

Creating agents that maintain context in conversations

Conversational agents remember what you’ve said and maintain context throughout the chat.

Diagram

Quick Start

python

from praisonaiagents import Agent

# Create a conversational agent with memory
agent = Agent(
    instructions="You are a friendly assistant. Remember what users tell you.",
    memory=True  # Enable conversation memory
)

# Have a conversation
agent.start("Hi! My name is Alex.")
agent.start("What's my name?")  # Agent remembers: "Alex"

How Memory Works

Diagram

Feature	Without Memory	With Memory
Context	Each message is new	Remembers past messages
Personalization	None	Remembers preferences
Multi-turn	Limited	Full conversation flow

Use Cases

Customer Support

Remember customer details and issue history

Tutoring

Track learning progress and adapt

Personal Assistant

Remember preferences and tasks

Companion

Build relationship over time

Example: Customer Support Bot

python

from praisonaiagents import Agent

support_bot = Agent(
    name="SupportBot",
    instructions="""You are a customer support agent.

    - Greet customers warmly
    - Ask for details about their issue
    - Provide step-by-step solutions
    - Remember their name and issue details""",
    memory=True
)

# Multi-turn conversation
support_bot.start("Hi, I can't log into my account")
support_bot.start("My email is alex@example.com")
support_bot.start("I tried resetting but no email came")
# Agent remembers all context and provides relevant help

Example: Learning Tutor

python

from praisonaiagents import Agent

tutor = Agent(
    name="MathTutor",
    instructions="""You are a patient math tutor.

    - Explain concepts step by step
    - Use simple language
    - Give practice problems
    - Remember what the student has learned""",
    memory=True
)

# Teaching session
tutor.start("Can you help me with algebra?")
tutor.start("What does 2x + 5 = 13 mean?")
tutor.start("So I subtract 5 first?")
tutor.start("Then divide by 2 to get x = 4?")
# Tutor tracks progress and builds on previous explanations

Complete Example

python

from praisonaiagents import Agent

# Personal assistant with memory
assistant = Agent(
    name="PersonalAssistant",
    instructions="""You are a personal assistant.

    Remember:
    - User's name and preferences
    - Tasks they mention
    - Topics they're interested in

    Be helpful, friendly, and personalized.""",
    memory=True
)

# Build a relationship over multiple messages
assistant.start("Hi! I'm Sarah and I love hiking.")
assistant.start("What outdoor activities would you recommend?")
assistant.start("I prefer mountains over beaches.")
assistant.start("What should I do this weekend?")
# Assistant remembers Sarah likes hiking and mountains

Best Practices

Enable Memory

Use memory=True for any multi-turn conversation

Clear Instructions

Tell the agent what to remember in instructions

Consistent Personality

Define a clear personality in instructions

Handle Context

Agent automatically manages conversation history

Next: Building Research Agents

Learn how to create agents that search and gather information.