CodeProject.AI_Server

Fast, free, self-hosted Artificial Intelligence Server for any platform, any language.

  • AI
Fast, free, self-hosted Artificial Intelligence Server for any platform, any language. CodeProject.AI Server is a locally installed, self-hosted, fast, free and Open Source Artificial Intelligence server for any platform, any language. No off-device or out of network data transfer, no messing around with dependencies, and able to be used from any platform, any language. Runs as a Windows Service or a Docker container. It may take some time to install as the image takes up a few GB of space! One among many examples of use: it can be easily integrated in AgentDVR Video Surveillance Software for face or object recognition.

Platform availability

Available on 1 of 9 platforms

  • Unraid
  • TrueNAS (not listed)
  • Umbrel (not listed)
  • ZimaOS (not listed)
  • Proxmox (not listed)
  • Helm (not listed)
  • Mac (not listed)
  • Windows (not listed)
  • Linux (not listed)

Health score

Not enough data yet for a health score. It needs at least 2 of 4 factors: maintenance, popularity, ease of install, resource needs.

Availability: platform listings confirmed today, links checked 12 days ago

No GitHub repository data collected yet.

Resources & Compatibility

ARM (e.g. Raspberry Pi) is supported.

Checked 15 days ago - source: Docker Hub image tags and published docs

First-install notes

No first-install notes yet.

Alternatives (3)

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  • Reddit - A social news website where content shared by users is voted on, organized into 'subreddits,' and can appear on the front page amid diverse…
  • Stack Exchange - Stack Exchange is a fast-growing network of 84 [and counting] question and answer sites on diverse topics from software programming to cook…

Checked 12 days ago - source: AlternativeTo

Common questions

Can CodeProject.AI Server be bundled with a custom application?

It is a self-contained service that developers can include in, and distribute with, their applications to add AI functionality.

Can published models run on a Coral accelerator?

A community user says published models run on Coral with good results using a deepstack-like API server, but would like native CodeProject.AI support for additional speed.

What does the troubleshooting documentation cover?

It addresses installation, runtime, module, API communication, performance, and environment-specific issues, with separate guidance for module-specific problems.

Answers sourced from deepwiki.com, github.com, www.reddit.com

Community

Collected 9 days ago - public community threads