Free alternatives to Google Gemini

A private AI desk for documents and agents; install it, then choose local models or somebody else's meter.

Versus paying: It cannot reproduce Gemini's first-party Gmail, Docs, Drive, Android, and Google Search integration, and it includes no Google AI Pro model quota.

Setup: Desktop installer for macOS/Windows/Linux, or Docker for a self-hosted web instance

Watch for: The installer is easy, but useful results still require downloading a local model or supplying a model-provider API key

64,400 GitHub stars (checked Aug 6, 2026)

A local-first multi-model workspace with files, search, code and personas; the interface assumes you enjoy buttons.

Versus paying: It supplies a multi-model interface but not Gemini's included model allowance or first-party integration across Google Search, Gmail, Docs, Drive, and Android.

Setup: Use the hosted web app with your API keys, or self-host with Docker/Vercel

Watch for: The free hosted app is immediate, but it does not include model usage: the user must bring provider API keys and understand provider billing

7,100 GitHub stars (checked Aug 6, 2026)

A desktop model switchboard with assistants, files, agents and MCP; bring keys or make your laptop sweat.

Versus paying: It makes you supply each model and account yourself and cannot match Gemini's first-party integration across Google's apps and services.

Setup: Download the signed desktop installer for macOS, Windows or Linux

Watch for: The app installs cleanly, but the first useful chat requires an API key or a separately installed local model server

49,867 GitHub stars (checked Aug 6, 2026)

A local-first desktop assistant with cloud connectors and tools; your RAM gets the invoice.

Versus paying: It can provide local or bring-your-own-model chat, but not Gemini's included frontier-model access or native Google ecosystem integration.

Setup: Download the macOS, Windows or Linux desktop installer

Watch for: Local use requires downloading a multi-gigabyte model and enough RAM; cloud use requires an API key

43,900 GitHub stars (checked Aug 6, 2026)

A self-hosted model switchboard with agents, files and tools; free software, paid model bills if you use paid models.

Versus paying: It adds server administration and separate model bills while still lacking Gemini's native Gmail, Docs, Drive, Search, and Android integration.

Setup: Clone the repository and start the recommended Docker Compose stack

Watch for: Docker Compose brings several services, and the default MongoDB image does not run on Apple Silicon without changing the setup

41,700 GitHub stars (checked Aug 6, 2026)

A local-model desktop lab with chat, documents and tools; free forever, but your hardware is now the cloud.

Versus paying: It is a local-model laboratory, so live web grounding, Google's frontier models, and tight integration with Google apps are the main losses.

Setup: Download the macOS, Windows or Linux desktop installer

Watch for: The installer is clean, but the user must choose and download a model large enough for the task and small enough for their RAM

ChatGPT-shaped self-hosting with models, files, search and tools; the software is free, the admin role is yours.

Versus paying: It can imitate the chat surface, but it does not include Gemini usage or Google's first-party Search, Workspace, and Android integrations.

Setup: Run the official Docker image, install the Python package, or deploy with Kubernetes

Watch for: A non-expert must install Docker or a compatible Python environment, mount persistent storage correctly, and separately provide Ollama or an API endpoint

A polished agents-and-files workspace; self-hosting is free and frontier inference usually is not.

Versus paying: It offers a polished model workspace but not Gemini's bundled model capacity or first-party integration with Google's consumer and Workspace products.

Setup: Use the hosted service, or self-host with Docker Compose or a supported cloud deployment template

Watch for: Self-hosting now means configuring Docker plus PostgreSQL, authentication and S3-compatible storage rather than launching a single stateless container