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Codeproject.ai Server

Codeproject.ai Server is a self-contained, self-hosted AI service that software developers can include and distribute with their applications. Its HTTP REST API routes requests to backend analysis services running on the same machine and returns their results.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Codeproject.ai Server — OpenViST project profile in AI Infrastructure & Serving.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use it when an application needs a self-hosted AI service that can run on the user's device, or when you want to explore and develop against the project's analysis modules.

Who it is for

  • Developers adding AI features to desktop, web, or other software applications.
  • Teams that want to package a local AI service with an application.
  • Developers exploring or extending AI analysis modules.

Documented uses

  • Add object-detection or other documented AI capabilities to an existing application.
  • Send images or other supported inputs to local analysis services and receive results through an HTTP API.
  • Explore the server's features through its dashboard and Explorer.
  • Prepare the repository for development and optionally pull its modules.
Before you choose

Requirements & limits

The repository is public and presents an open-source badge. Its README displays an SSPL license badge; review the license terms for your intended use.

  • The server and its analysis services run locally; the README says processing does not send data off-device.
  • The service is designed to be included in and distributed with other applications.
  • The README lists Windows, macOS, Apple Silicon, Ubuntu or Debian, Raspberry Pi arm64, and Docker.
  • The documented JavaScript example sends an image to a scene-detection API route and reads label and confidence fields.
  • The README identifies C# as the repository's primary language and references .NET 9 and Python.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Prepare the repository for server development

Clone the server repository and run its documented development setup.

Before you start

  • Visual Studio Code or Visual Studio 2019+.

Steps

  1. Clone the CodeProject.AI-Server repository.

  2. Run the setup script in /devops/install.

  3. Optionally run the clone_repos script in /devops/install to pull the CodeProject.AI modules.

Expected outcome

The documented setup steps prepare the repository for the next stage, debugging the front-end server application.

Guide limitations

  • The README does not include the setup script's commands or describe the debugging steps in the available instructions.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
17 October 2026
Original website title
codeproject/CodeProject.AI-Server · Official homepage title · retained in its source language
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