Local models · every device

GlixoCode

A coding agent that stays with your work across desktop, browser, and Android.

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GLIXO CODE · ANDROIDExperimental

Looking for the
Android version?

A Glixo UFO beaming up a little Android robot

Run Glixo Code directly on your phone. Add Glixo Android Services for on-device tools and local Gemma models, even without an internet connection.

Android is experimental. You can still pair your desktop for the full Glixo Code experience.

Offline use requires initial setup and a downloaded model.

Get it on Google Play

Use the Google account you use on Google Play.

No obligations. No newsletter. We’ll email a link to verify this Google Play account. Access is not active until setup is complete. Read our privacy notice.

Prefer a direct install?

No closed-test signup needed. Download the APKs directly.

Checking the latest stable Android packages…

Glixo Code desktop — a live coding-agent session with changed files and commits
See it work

Real sessions, not mockups.

One session, any provider.

Switch between OpenAI, Claude, and Gemini in one conversation. Your session, history, and tools carry over, or auto-routing can pick a provider for each message.

Save a point to return to.

Before a risky edit, save a checkpoint. Review the code changes, then restore the saved version if you want to undo them.

Set the outcome, not every step.

Give it a goal — “harden the webhook retry path with a focused regression test” — and it edits, runs the tests, and keeps going until they pass.

Everything the agent needs, in one place.

Start a project in your browser, choose a model, review approvals, and keep useful context for the next session.

Zero-install browser coding

Open a project in a browser workspace with files, a terminal, Git, and a live preview.

Local or cloud models

Use a local model through Ollama or connect OpenAI, Claude, or Gemini. Change models within the same session.

Workflows & approvals

Pause a workflow for review. Approve the next step when you are ready, then let the run continue.

Memory across sessions

Save useful project information and retrieve it in a later session, without repeating the same explanation.

Works with your models
Specialized sandbox image

Pre-baked for speed — and fewer tokens.

Toolchains, caches, and CLIs are baked into the sandbox image, so the agent runs real work instead of reinstalling it — and reaches for compact commands instead of verbose host shells.

Glixo Code Machines dashboard: fleet status with machines, sandboxes, and direct hosts, plus per-machine hosts and sandbox environments across a Windows workstation and a Linux render node
2.30×
as fast
1.91s in the sandbox vs 4.41s in PowerShell, across a six-task workload.
72.5%
fewer command tokens
106 vs 385 command-text tokens — 279 saved every run.
How it was measured
  • Measured on Windows via real Glixo RPC across a six-task workload.
  • Windows PowerShell: 4,406.5 ms · Sandbox: 1,913.5 ms (2,493 ms faster) — about 2.30× the workloads in the same time.
  • Five of six tasks were faster (jq ran 6.62× faster); cloc was 63.1% slower.
  • Command-text tokens: 385 → 106, saving 279 (72.5%).

Your server. Encrypted payloads.