pane vs omnigent

they solve different problems

Omnigent wraps agents in a governed server for teams. Pane gives each agent a real terminal and puts review and git next to it.

Omnigent calls itself a meta-harness. A harness is the program that runs an agent, like Claude Code. Omnigent sits one level up. It drives those harnesses through their SDKs or by mirroring their terminals, and wraps them in a server that adds rules, sandboxes, sharing and scheduling. Databricks built it for teams with lots of agents and something to govern.

Pane is an agent manager. It doesn't wrap the agent. It gives the agent a real terminal, its own worktree (its own branch and folder, safely isolated), and puts review and git right next to it. It's built for one developer moving fast across several agents.

windows and wsl

Pane runs natively on Windows and inside WSL. Omnigent needs WSL for its full feature set.

This is the biggest practical difference.

Omnigent's README says it runs on native Windows "in a degraded mode". The server, web UI and SDK agents work. The terminal agents (the real Claude Code, Codex and Cursor TUIs) and the sandbox don't, because they need tmux and Linux or macOS sandboxing. Its install docs list a desktop app for macOS only. The Windows desktop installer we found was version 0.14.0, two versions behind the server, and it isn't code-signed. Its issue tracker has open Windows bugs about drive paths, encodings and shells, including one where a Windows host picks up WSL's bash by mistake and changes a file's line endings.

For full features on Windows, Omnigent's answer is WSL: run the whole server inside it. We did, and it worked. The host picker then labelled our WSL host "This Windows".

Pane is a native Windows app for x64 and ARM64. Add a repo by its \\wsl$ path and Pane runs that pane's terminals and agents inside the distro, keeps its worktrees on the Linux filesystem, and registers its MCP tools inside the distro too. A Session can run its agent in a WSL distro you pick.

which agents, and how they run

Pane runs any CLI agent. Omnigent supports about fifteen named agents plus ACP agents.

Omnigent supports about fifteen named agents: Claude Code, Codex and the OpenAI Agents SDK fully, plus Cursor, OpenCode, Pi, Copilot, Antigravity, Devin, Hermes, Kimi, Kiro, Qwen Code and Agent Client Protocol (ACP) agents like Goose. Each one runs in one of two ways: through its SDK, shown as a chat, or as its own terminal UI in tmux, mirrored into Omnigent. You can switch agents in the middle of a session and keep the conversation.

Pane runs any command line agent, because every tab is a real terminal. Claude Code, Codex and Cursor are built in, with their own buttons, shortcuts, status tracking and resume after a restart. Gemini, OpenCode, Aider, Goose or tomorrow's agent run as a custom command. What you see is the agent's own UI, so nothing gets lost in translation.

agents that run other agents

Both have an orchestrator: Pane's Sessions and Omnigent's Polly. Only Omnigent has a scheduler.

Both have one.

Omnigent ships Polly, an agent that plays tech lead. She splits work into sub-tasks, hands them to agents from different vendors in separate worktrees, and has a different vendor review each result. There's also Debby, which asks Claude and GPT the same question and makes them debate. Omnigent can run agents on a schedule too, with a spending cap per run.

Pane's version is Sessions. A Session is a chat with Claude Code, Codex or Cursor that starts panes, gives each one a task, watches them, collects their reports and follows their pull requests. It works through Pane's command line tool and MCP server, so the panes it starts can run any agent. Pane has no built-in scheduler. You'd run a Session's commands from cron or CI instead.

guardrails and safety

Omnigent leads on guardrails: policies, approvals and an OS sandbox. Pane isolates work in worktrees.

This is where Omnigent clearly leads.

Omnigent's policies check every action an agent takes and can allow it, block it or ask you. Built-in ones cap spending, block personal data in prompts, stop force-pushes and destructive git actions, and catch agents stuck in loops. On macOS and Linux it can also put the agent in a sandbox: the working folder read-only by default, secrets like .ssh and .env hidden, network access blocked unless allowed, and real credentials swapped in only at the proxy.

Pane's isolation is the worktree: an agent's changes stay on its own branch until you merge them. If you want an agent to ask before each command, add it as a custom command without its skip-permissions flags.

review and git

Pane leads on review and git: commit, push, merge and undo are buttons and shortcuts.

Pane leads here. Changes, diffs, commit, push, pull, rebase, merge and undo are all in the app, and the everyday ones have shortcuts. A Session can open the pull request and watch its checks for you.

Omnigent's Changes and GitHub tabs are for reading: you see the diff, the pull request, its comments and live CI checks. To commit, push or open a PR, you ask the agent. Omnigent's own docs put it plainly: "You merge."

teams, phones and remote machines

Omnigent is built for sharing sessions across a team. Pane is built for one developer.

Omnigent is built for sharing. Send a teammate a link to your live session. They can watch, co-drive or fork it. A team server can use SSO, and you can approve agent actions from Slack or from the iOS and Android apps, which are thin shells around the web UI and need your server on HTTPS. Agents can also run on cloud sandbox providers.

Pane is built for one developer. Remote Pane runs Pane's host on a machine you own, over SSH, Tailscale or HTTPS, and you steer it from desktop Pane or your phone's browser. Pane's own iOS and Android app is coming soon.

getting set up

Pane is one installer. Omnigent needs Python, Node, tmux and a running server.

Pane is one installer: 115 MB on Windows, 429 MB once installed. In our test it took about two minutes from first launch to an agent working on the task. Idle, it used about 370 MB of private memory.

Omnigent needs Python 3.12, uv, git, Node 22 with npm and pnpm for the web UI, tmux for terminal agents, and bubblewrap on Linux. Installing it with pip took 1 minute 44 seconds and 538 MB, and the server took about 30 seconds to start. After that, starting a task is quick: you type it into one box.

privacy

Neither sends your code or prompts anywhere. Both let you turn analytics off.

By default, neither one sends your code anywhere. Both run agents on your machine, or a machine you choose, and talk to your model providers directly. Omnigent can also run agents in cloud sandboxes if you set that up.

Neither sends prompts or code anywhere. Omnigent's product analytics turn off with an environment variable like DO_NOT_TRACK=1, and Pane's turn off in Settings → Privacy.

momentum

Both ship fast: Omnigent weekly with Databricks behind it, Pane most days.

Omnigent launched in June 2026 and reached about 10,500 GitHub stars and 270 contributors in fifteen weeks, with a release roughly every week. It's labelled alpha, and its own FAQ warns about rough edges. Databricks' backing is a real plus.

Pane ships releases most days and has been out since February 2026. It's built by a small team at Dcouple.

how we tested

On October 3 and 4, 2026 we installed both tools on one Windows 11 PC with WSL2 (Ubuntu 24.04). We ran Omnigent 0.16.0's server inside WSL and drove its web UI from Edge, and ran Pane 2.4.155 as a separate test copy on Windows with a repo inside WSL. Both used Claude Code with the same account and the same task. We didn't sign in to any paid service on either one's behalf. We haven't tested Omnigent's desktop app or its sandbox yet.

Facts about each product come from its own docs, changelog, issue tracker and source code, checked on the same dates.

What we ran

• → Pane 2.4.155 on Windows 11 with the repo inside WSL2 (Ubuntu 24.04)
• → Omnigent 0.16.0, server in WSL2, web UI in Edge
• → Claude Code on the same account and the same task in both

Who wrote this

We make Pane, so we have a stake in this. We tried to be fair: Omnigent's strengths are listed as plainly as Pane's, every claim was checked against the product itself or its docs and source, and the screenshots are unedited captures from our own runs.

Corrections

If anything here is wrong or out of date, tell us and we'll fix it and update the date at the top. Open an issue on GitHub

Sources

• → Omnigent on GitHub
• → Omnigent docs
• → Omnigent changelog
• → Pane on GitHub
• → Pane on Windows and WSL