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Phantom

The README documents local Ollama seats without sign-in; local model runtime and compatible weights are needed.

Phantom

Free local app · model and hardware separate
Phantom product preview
Product image: AshlrAI, Inc. · MIT · Original image; layout scaled to fit. Project demo screenshot with provider-inactive sample content; no live provider or AltStack usage is represented. Full notice.Logo: AshlrAI, Inc. · MIT · Original image; layout scaled to fit. Provider asset identifies phantom; no endorsement is implied. Full notice.

What does it cost?

The listed option is free to use. Hosting or model usage may still cost money.

The MIT workbench is free. Local inference uses your device and model license. Connected vendor CLI accounts retain their own billing and usage rules, while API resources are metered separately; a login does not prove included free quota. No model weights are bundled. A compatible local model such as Ollama's qwen2.5-coder:7b is listed under Apache-2.0 at 4.7GB; confirm model compatibility and its license separately. Hardware, model download/storage, and electricity remain user costs. Optional hosted or API inference may be billed.

Provider pricing checked 1 Nov 2026.

Visit PhantomRead pricing information

Installation and setup

Install on your computer · Instructions checked 2026-11-01

  1. Check the official README for installation and the supported local backends for your operating system.
  2. Install Phantom from the official project release or follow its documented build steps.
  3. Start a supported local Ollama or llama-server endpoint and select compatible weights with a license suitable for your use.
  4. Keep local project permissions narrow; connected vendor CLI accounts keep their own subscription and API billing.

Local inference does not require a hosted model API. Model weights and hardware are separate; vendor CLI paths can require paid plans or credits.

Self-hosting & quickstart specs

License
MIT
Deployment
Local desktop application
Free edition / costs
Free local application · model/hardware costs separate. The MIT workbench is free. Local inference uses your device and model license. Connected vendor CLI accounts retain their own billing and usage rules, while API resources are metered separately; a login does not prove included free quota. No weights are bundled. The official Ollama qwen2.5-coder:7b listing states Apache-2.0 and 4.7GB; verify compatibility and model licensing separately. Local hardware, storage, download, and electricity still have costs. Optional remote inference can be billed. Pricing evidence.
Devices / hardware
Local inference does not require a hosted model API. Model weights and hardware are separate; vendor CLI paths can require paid plans or credits.

No one-line command has been verified for Phantom; follow its official installation instructions instead of guessing a Docker image or installer.

Phantom provider setup documentation
Official setup instructionsSource repository

What can you use it for?

Coding assistantsAI agentsDeveloper tools

Source code and self-hosting

Read the repository for the license, installation steps, and operating costs.

Source repositoryView the full software profile

Learn how to use this type of tool

Read a practical guide before choosing a plan or setting up a workflow.

How to use an AI coding tool and check its work

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