This project provides a minimal, production-ready setup for serving AI agents via a FastAPI API, leveraging PostgreSQL for data persistence. It's designed for developers seeking a clear, fast, and enjoyable experience building and deploying agent-based applications.

How It Works

The system utilizes FastAPI for efficient API request handling and PostgreSQL to store agent sessions, knowledge, and memories. It includes pre-built agents as starting points, allowing users to customize or extend functionality by modifying agents in the /agents folder. The architecture prioritizes speed and clarity, facilitating rapid development and deployment.

Quick Start & Requirements

• Install/Run: Clone the repository, set the OPENAI_API_KEY environment variable, and run docker compose up -d.
• Prerequisites: Docker Desktop must be installed and running.
• Setup: The project provides scripts for local development setup, including environment creation and dependency installation using uv.
• Docs: Agno Docs

Highlighted Details

• Supports GPT 4.1 by default, but is configurable for any model provider.
• Includes example agents like Web Search, Agno Assist, and Finance Agent.
• Offers a Dockerfile for building production-ready container images.
• Provides guidance for deployment on various cloud platforms (Cloud Run, App Runner, GKE, etc.) and PaaS solutions (Railway, Render).

Maintenance & Community

• Community support is available via Discord, Discourse, and GitHub Issues.
• The project is actively maintained by agno-agi.

Licensing & Compatibility

• The repository does not explicitly state a license in the provided README.

Limitations & Caveats

The README mentions using GPT 4.1 as the default model, implying a dependency on OpenAI's API, though it notes that other providers can be used. Specific instructions for configuring alternative model providers beyond setting the OPENAI_API_KEY are not detailed.