OpenMinis is an open-source AI agent workspace for building assistants, connecting models, and automating practical tasks.

Who is OpenMinis for?

It is best suited to developers, founders, and technical users who want flexible AI agent workflows and more control over their stack.

Is OpenMinis open source?

Yes. OpenMinis is positioned as an open-source project, allowing users to inspect and work with its underlying software.

Can OpenMinis use different models?

The project is designed around flexible model connectivity, but supported providers and integrations should be checked against the current documentation.

Can OpenMinis automate tasks?

Yes. Its agent-oriented workflow is intended for coordinating AI actions, tools, and repeatable tasks.

The software itself is open source, while any external model APIs, hosted services, or infrastructure you use may have separate costs.

OpenMinis

Name: OpenMinis
Brand: OpenMinis

Private on-device AI assistant connecting directly to your preferred model providers.

Visit Website

What is OpenMinis?

TL;DR

OpenMinis is a privacy-first AI assistant app that runs on your device and connects directly to providers such as OpenAI, Anthropic, Gemini, and OpenRouter. It keeps conversations and credentials local while giving developers flexible model access.

Open-source AI agent workspace
Flexible model and provider connections
Task automation and agent workflows

Explore with AI

About

OpenMinis is a local AI assistant designed to keep conversations and data on your device while connecting directly to the model provider you choose. It supports providers such as OpenAI, Anthropic, Google Gemini, OpenRouter, and compatible endpoints. The app uses a client-side architecture rather than a hosted AI service. Requests go directly from the device to the selected provider, while conversations, files, and API credentials remain under local control. For developers and technical users, OpenMinis provides flexible access to different models without locking them into one hosted chatbot. Its local approach also makes it useful for privacy-conscious AI experimentation. It is best suited to users who want a private AI assistant with provider flexibility. Model capability and cost depend on the provider account or endpoint connected to the app.

Use Cases

Build Personal Agents

Create flexible AI assistants for recurring tasks, research, and personal workflows using an open-source agent foundation.

Connect AI Models

Experiment with different model providers and local or hosted inference paths without committing to one model vendor.

Automate Tasks

Use agent workflows to coordinate repetitive actions, tool calls, and connected services for everyday work.

Prototype Agent Apps

Prototype agent-powered applications and workflows while keeping control over the underlying software stack.

Key Features

Open-source AI agent workspace
Flexible model and provider connections
Task automation and agent workflows
Developer-oriented extensibility

Featured Tools

Wispr Flow

Voice-First Dictation

We may earn commissions from links to support our work. Learn more.