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Ods

Ods is a Python-based, self-hosted deployment project that assembles local AI services on a PC, Mac or Linux system.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Ods — 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 Ods when several local AI services need to be installed and wired together rather than assembled individually.

Who it is for

  • People building a private local AI server
  • Homelab operators combining models with interfaces and workflows
  • Developers exploring local RAG, agents, image generation or AI service integrations

Documented uses

  • Deploy local language-model inference
  • Provide a browser-based interface for local models
  • Connect local documents and retrieval workflows
  • Create local agent and n8n automations
  • Run image-generation services through ComfyUI
Before you choose

Requirements & limits

The supplied repository identifies Ods as a public open-source project with an Apache-2.0 license. Linux and macOS require Docker; the documented Windows route uses PowerShell, WSL2, Ubuntu and Docker Desktop. Ods V3 is described as a public pre-release undergoing testing and refinement.

  • Whether the target system can run Docker; this is a documented prerequisite for Linux and macOS.
  • Whether Windows users can use the documented WSL2, Ubuntu and Docker Desktop path.
  • Whether a pre-release deployment is appropriate for the intended workload.
  • Whether reproducibility requires pinning a release or audited commit instead of following development main.
  • Whether local hardware is suitable for the desired models and services; the installer is described as selecting a model for the hardware.

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

Install Ods on Linux or macOS

Set up the Ods local AI stack using the documented installer.

Before you start

  • A Linux or macOS system
  • Docker installed and running

Steps

  1. Open a normal terminal.

  2. Run the command below.

    Documented command
    curl -fsSL https://install.osmantic.com/ods.sh | bash

  3. Follow the installer prompts; the documented flow installs the stack, selects a model for the hardware and starts the services.

  4. Open the local web interface provided by the installation.

Expected outcome

The documented installation flow is intended to provide a local web UI and a running Ods service stack.

Guide limitations

  • The README describes Ods V3 as a public pre-release undergoing testing and refinement.
Documentation 1 ↗
Source-based practical guide

Begin a Windows Ods setup

Start the documented Windows installation path through PowerShell and guided Ubuntu/WSL2 setup.

Before you start

  • A Windows system
  • A normal PowerShell window, not an administrator PowerShell window
  • At least 40 GB of free disk space and hardware virtualization enabled

Steps

  1. Copy and run the documented PowerShell block from the Ods repository.

  2. Allow the installer to offer WSL2 and Docker Desktop installation through winget if needed.

  3. Restart once when Windows requests it, then sign in again so setup can continue.

  4. Provide an Ubuntu username and password when prompted.

  5. Allow the installer to install Ods inside Ubuntu with the documented --pixel --no-hermes --no-openclaw options.

Expected outcome

The documented Windows flow verifies Pixel and Portal after installing Ods inside Ubuntu.

Guide limitations

  • The Windows route requires administrator permission during component installation and may require Docker Desktop to be connected to Ubuntu.
  • The repository describes this route as part of the V3 pre-release documentation, not as proof of complete fleet qualification.
Documentation 1 ↗
COMPARE OPTIONS

Compare options for Model inference and serving

These projects document a common task and share a project role. This is a source-based comparison, not an execution benchmark or a guarantee of interchangeability.

ProjectDocumented purposePlatformAccess and requirements
OdsDeploy local language-model inferenceDocker, Linux, macOS, Self-hostedThe supplied repository identifies Ods as a public open-source project with an Apache-2.0 license. Linux and macOS require Docker; the documented Windows route uses PowerShell, WSL2, Ubuntu and Docker Desktop. Ods V3 is described as a public pre-release undergoing testing and refinement.
MorphingdbImport a libtorch model and create predictions from values in a PostgreSQL table.Docker, Linux, Self-hosted, ServerThe README documents a Docker image and a build-from-repository option, followed by connecting to PostgreSQL and enabling the pgdl extension.
Gateway — pyadavSend chat-completion requests to a provider through a common server endpoint.ServerThe repository is public and identifies the project as Apache-2.0 licensed. README installation instructions include binaries, platform package managers and Docker.
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
1 October 2026
Original website title
Osmantic/ODS · Official homepage title · retained in its source language
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