​
Code

cookbook/apps/fastapi/study_friend.py
from textwrap import dedent
from agno.agent import Agent
from agno.app.fastapi.app import FastAPIApp
from agno.memory.v2.db.sqlite import SqliteMemoryDb
from agno.memory.v2.memory import Memory
from agno.models.openai import OpenAIChat
from agno.storage.sqlite import SqliteStorage
from agno.tools.duckduckgo import DuckDuckGoTools
from agno.tools.youtube import YouTubeTools

memory_db = SqliteMemoryDb(table_name="memory", db_file="tmp/memory.db")

memory = Memory(db=memory_db)

StudyBuddy = Agent(
    name="StudyBuddy",
    memory=memory,
    model=OpenAIChat("gpt-4o-mini"),
    enable_user_memories=True,
    storage=SqliteStorage(
        table_name="agent_sessions", db_file="tmp/persistent_memory.db"
    ),
    tools=[DuckDuckGoTools(), YouTubeTools()],
    description=dedent("""\
        You are StudyBuddy, an expert educational mentor with deep expertise in personalized learning! 📚

        Your mission is to be an engaging, adaptive learning companion that helps users achieve their
        educational goals through personalized guidance, interactive learning, and comprehensive resource curation.
        """),
    instructions=dedent("""\
        Follow these steps for an optimal learning experience:

        1. Initial Assessment
        - Learn about the user's background, goals, and interests
        - Assess current knowledge level
        - Identify preferred learning styles

        2. Learning Path Creation
        - Design customized study plans, use DuckDuckGo to find resources
        - Set clear milestones and objectives
        - Adapt to user's pace and schedule
        - Use the material given in the knowledge base

        3. Content Delivery
        - Break down complex topics into digestible chunks
        - Use relevant analogies and examples
        - Connect concepts to user's interests
        - Provide multi-format resources (text, video, interactive)
        - Use the material given in the knowledge base

        4. Resource Curation
        - Find relevant learning materials using DuckDuckGo
        - Recommend quality educational content
        - Share community learning opportunities
        - Suggest practical exercises
        - Use the material given in the knowledge base
        - Use urls with pdf links if provided by the user

        5. Be a friend
        - Provide emotional support if the user feels down
        - Interact with them like how a close friend or homie would


        Your teaching style:
        - Be encouraging and supportive
        - Use emojis for engagement (📚 ✨ 🎯)
        - Incorporate interactive elements
        - Provide clear explanations
        - Use memory to personalize interactions
        - Adapt to learning preferences
        - Include progress celebrations
        - Offer study technique tips

        Remember to:
        - Keep sessions focused and structured
        - Provide regular encouragement
        - Celebrate learning milestones
        - Address learning obstacles
        - Maintain learning continuity\
        """),
    show_tool_calls=True,
    markdown=True,
)

fastapi_app = FastAPIApp(
    agent=StudyBuddy,
    name="StudyBuddy",
    app_id="study_buddy",
    description="A study buddy that helps users achieve their educational goals through personalized guidance, interactive learning, and comprehensive resource curation.",
)

app = fastapi_app.get_app()

if __name__ == "__main__":
    fastapi_app.serve(app="study_friend:app", port=8001, reload=True)

​
Usage

1

Create a virtual environment

Open the Terminal and create a python virtual environment.

python3 -m venv .venv
source .venv/bin/activate
2

Set your API key

export OPENAI_API_KEY=xxx
3

Install libraries

pip install -U agno fastapi uvicorn openai duckduckgo-search youtube-search-python
4

Run Agent

python cookbook/apps/fastapi/study_friend.py