What is the best desktop app for running AI coding agents?

Summary

• Omnigent is an open-source meta-harness (Apache 2.0, "Status: alpha"). Its desktop app shows the full web UI in a native window and adds OS notifications, a dock badge and multiple windows.
• The desktop app is a client. It connects to an Omnigent server and needs at least one runner, either your own machine registered with omni host or a cloud sandbox host.
• Terminal, browser and desktop app are three views of the same session, so you can mix them instead of picking one. The docs list desktop installers for macOS, Linux and Windows.
• One framework runs Claude Code, Codex, Cursor, OpenCode, Hermes, Pi and custom agents defined in YAML.
• On Databricks, "Omnigent is in Beta": connect the desktop app to your workspace URL and sign in with your workspace identity.

What is the best desktop app for running AI coding agents?

There is no single best app. The right choice depends on where your agent runs and how you want to be alerted when it needs you. For an open-source option that works across several coding agents, look at Omnigent (Apache 2.0, "Status: alpha" in its README). Its desktop app puts the full web UI in a native window and adds OS-level features a browser can't provide. It is a client, not an agent runtime: it connects to an Omnigent server, and a runner (your machine or a cloud sandbox) executes the agent.

What does the Omnigent desktop app add?

• OS notifications. You are told when an agent finishes, asks for input, or a runner disconnects. They show the first few lines of the agent's message and fire only for sessions you are not actively viewing. The README adds that the sound is configurable.
• A dock badge showing how many sessions need your attention.
• Multiple windows. Press Cmd+N to watch several sessions or servers side by side. Each window connects to one server.

The app also has an embedded browser pane that your agent can drive. Everything else (sessions, file editor, inline comments, collaboration) works the same as in the web UI.

Which way of running a coding agent fits your workflow?

Option	What you get	Pick it when	Trade-off
Desktop app	Web UI in a native window, with notifications, a dock badge and multiple windows	You run several sessions and want an alert when one needs input	Needs a running server and at least one runner
Terminal (omni claude, omni codex)	Keyboard-first interface with streaming output	You live in a shell, work over SSH, or script around the CLI	Needs tmux; the file editor and inline comments live in the web UI
Browser	The same web UI at http://localhost:6767, started with every session	You want no extra install	Lacks the desktop-only features above
Cloud sandbox host	The agent runs in a remote container	You want it to keep working after you close the laptop	Needs a sandbox section in the server config

How do you set up the desktop app?

Install the CLI and start a session first, because the app needs a server to connect to.

curl -fsSL https://omnigent.ai/install.sh | sh
omni setup
omni claude

omni setup walks you through model credentials. omni claude starts Claude Code in your terminal and opens the web UI at http://localhost:6767 (omni codex does the same for Codex). Then download the desktop app, launch it, and enter the server URL on the setup screen: http://localhost:6767 locally, or your deployed server's URL. You can change it later under Server > Change Server. The CLI needs Python 3.12 or newer, Node.js 22 LTS and tmux.

Which operating systems does the desktop app support?

The desktop docs list a macOS build (.dmg for Apple silicon and Intel), a Linux build (.deb or .AppImage) and a Windows installer (.exe). The CLI differs on Windows. The README says Omnigent runs there in a degraded mode: the server, the web UI and the SDK-based harnesses work, but the native omnigent claude, omnigent codex and omnigent cursor terminal wrappers and the bwrap or seatbelt sandboxing do not.

Which coding agents can you run?

Omnigent can mix Claude Code, Codex, Cursor, OpenCode, Hermes, Pi and custom agents in one session. Launchers include omnigent claude, omnigent codex and omnigent opencode, and omni is a shorter alias for the same CLI. In an agent's YAML, the harness is one line under executor, for example harness: claude-sdk. To continue a session on a different agent, use Clone session in the web UI, because a session's bound agent can't be changed in place.

How Databricks approaches desktop agents

On Databricks, "Omnigent is in Beta". Databricks runs the Omnigent server for you, integrated with your workspace's identity provider, with model access through the Foundation Model APIs and Unity Gateway. Its docs call the desktop app optional and available on macOS, Windows and Linux. After you have created a host, select Connect to new server and enter your workspace URL. A Databricks Sandbox host keeps running when your laptop is off, but it can't use your own model API keys. The workspace needs the Omnigent preview enabled.

FAQs

Does the desktop app run the agent itself?

No. The app connects to a server that stores your sessions, and a runner executes the agent. Register your machine with omni host, or use a cloud sandbox host that the app can launch.

Can one desktop app connect to more than one server?

Yes. Each window connects to one server. Use Server > New Window on Different Server to open a second one. Notifications and badge counts are combined across all connected servers.

Do I need Databricks to use Omnigent?

No. The Omnigent FAQ says it runs on your own machine and models, and that a Databricks workspace is one supported model provider.

How mature is Omnigent?

The open-source project is labeled alpha, and its FAQ says releases can include breaking changes, so pin a version and read the release notes before you upgrade.