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Openserver

Openserver is MIT-licensed Python server software that exposes an OpenAI-compatible API for text and image generation, chat, embeddings, and vector-database storage. It uses LangChain for language-model tasks and provider SDKs for image generation and related functions.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Openserver — OpenViST project profile in AI APIs & Platforms.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use it when you want to run configurable AI server software that combines generation or chat with embedding and vector-database workflows.

Who it is for

  • Developers building applications against an OpenAI-style API.
  • Teams configuring multiple model providers behind server software they run themselves.
  • Builders connecting embedding generation to a supported vector database.

Documented uses

  • Serve text completions and chat through a common API shape.
  • Generate images using configured image providers.
  • Create embeddings and store them in configured vector databases.
  • Use streaming or function calling where the selected provider and model support it.
Before you choose

Requirements & limits

The repository is public and identifies the project as open source under the MIT license.

  • Provider capabilities differ: the README lists feature support by provider, and function calling is only available for some models.
  • API keys, provider URLs and model settings are configured in YAML files.
  • GPU support requires separate installation of PyTorch and llama-cpp-python for the applicable GPU type.
  • LangChain is used for language-model handling; provider SDKs cover image generation and related functions.

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 and start the Openserver module

Install the listed Python requirements and launch the server module.

Before you start

  • A local copy of the Openserver repository
  • Python and pip

Steps

  1. Clone the repository with the command below.

    Documented command
    git clone https://github.com/mj23978/openserver.git

  2. Enter the project directory with cd openserver.

  3. Install dependencies with the command below.

    Documented command
    pip install -r requirements.txt

  4. Start the server with the command below.

    Documented command
    python -m openserver.main

Expected outcome

The documented command starts the Openserver module as a server.

Guide limitations

  • GPU support requires manually installing PyTorch and llama-cpp-python for the relevant GPU type (CUDA or ROCm).
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
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Sources checked
17 October 2026
Original website title
Mj23978/OpenServer · Official homepage title · retained in its source language
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