The Agent App is our go-to workspace for building agentic systems. It contains:
  • A FastAPI server for serving Agents, Teams and Workflows.
  • A streamlit application for debugging and testing. This streamlit app is very versatile and can be used as an admin interface for the agentic system and shows all sorts of data.
  • A postgres database for session and vector storage.
It’s designed to run locally using docker and in production on AWS.

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Setup

1

Create and activate a virtual environment

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

Install Agno

pip install -U "agno[aws]"
3

Install uv and docker

  • Install uv for managing your python environment.
curl -LsSf https://astral.sh/uv/install.sh | sh
4

Export your OpenAI key

export OPENAI_API_KEY=sk-***
Agno is compatible with any model provider; simply update the agents in the workspace.

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Create your Agent App codebase

Create your codebase using the agent-app template, give it any name you like. 
ag ws create --template agent-app --name agent-app
This will create a folder named agent-app with the following structure: 
agent-app                     # root directory
├── agents                  # your Agents go here
├── api                     # your Api routes go here
├── ui                      # your Streamlit apps go here
├── db                      # your database tables go here
├── Dockerfile              # Dockerfile for the application
├── pyproject.toml          # python project definition
├── requirements.txt        # python dependencies generated using pyproject.toml
├── scripts                 # helper scripts
├── utils                   # shared utilities
└── workspace               # Agno workspace directory
    ├── dev_resources.py    # dev resources running locally
    ├── prd_resources.py    # production resources running on AWS
    ├── secrets             # secrets
    └── settings.py         # Agno workspace settings

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Run your Agent App locally

cd into the agent-app folder 
cd agent-app
Start your Agent App using the following command: 
ag ws up
Press Enter to confirm and give a few seconds for the image to download (only the first time). Verify container status and view logs on the docker dashboard. agent-app-ui Notes:
  • The Agents are defined in the agents folder.
  • The streamlit apps are defined in the ui folder
  • The API routes are defined in the api folder.

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Stop local workspace

Play around and stop the workspace using: 
ag ws down

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Next

Congratulations on running your AI App locally. Next Steps: