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VirtualWife

yakami129/VirtualWife

A virtual digital human project for Bilibili live streaming with OpenAI and Ollama support

GraphCanon updated Aug 14, 2026 · GitHub synced Aug 14, 2026

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2.9k stars442 forksLast push Oct 27, 2024 Python MIT

Decision brief

A virtual digital human project for Bilibili live streaming with OpenAI and Ollama support, VirtualWife leverages Python, Docker, and ReactJS to create an interactive persona.

Good fit when

  • When targeting a Bilibili audience specifically, as VirtualWife is designed for seamless integration into this platform's live-streaming environment.
  • If you are looking to incorporate advanced interaction capabilities from OpenAI and Ollama tech directly within your virtual digital human project.

Avoid when

  • When your primary audience does not include Bilibili users, as the tool is particularly geared towards this community.
  • You should avoid this tool if real-time interactions with complex machine learning models from multiple providers are not a priority in your application.

Observed Jul 17, 2026 · Source: enrich:decision_facts

Verify the decision

Maintenance and security

Full trust report
Maintenance
Dormant (655d since push)
As of Aug 14, 2026
Provenance
Not a fork · Personal account
As of Aug 14, 2026
Security (OSV)
No criticals
As of Jul 15, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install VirtualWife
PyPI

Similar tools

Same-category neighbours. No typed graph edges are catalogued for this tool yet.

Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

VirtualWife is an open-source project focusing on the creation of a virtual digital persona that can stream on platforms like Bilibili, utilizing tech from companies such as OpenAI and Ollama. The project leverages Docker and ReactJS for setting up environments, interacting with models through APIs.

Capability facts

MCP server
No MCP server detected

Source: repo_scan · Aug 14, 2026

Languages
python, javascript

Source: github.language+package.json · Aug 14, 2026

Categories

Tags

README

一、安装Docker环境 方式一:命令行方式安装 docker安装手册 docker compose安装手册 方式二:下载Docker桌面程序(桌面程序一般自带docker compose) 下载Docker桌面程序 然后下一步下一步就安装好了,如果拉取镜像比较慢,可以更改为国内镜像地址 检查是否安装成功,安装正常会打印日志 LICENSE 依据 MIT 协议,使用者需自行承担使用本项目的风险与责任,本开源项目开发者与此无关。

For agents

This page has a .md twin and JSON over the API.

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