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Numa vs Manus

Numa and Manus belong to the same broad shift: AI agents that do work instead of only answering questions.

The difference is where that work happens.

Numa focuses on your real desktop: local apps, files, folders, workflow recordings, and persistent presence on macOS and Windows.

The category difference

Many agent products are built around cloud browsers, hosted workspaces, or virtual machines. That approach can be useful for web research, browser tasks, and isolated runs.

Numa is designed around the computer you already use.

It works with the apps, files, windows, and workflows on your own machine. The goal is not to give the agent a separate computer. The goal is to let it help on yours.

Numa's focus

Numa is built for:

  • Local desktop apps
  • Files and folders on your machine
  • Browser sessions you already use
  • Workflow recording
  • Repeated personal processes
  • macOS and Windows
  • Persistent presence through the notch
  • Work that spans several tools

That makes it especially relevant when your work is not only in a browser.

Manus-style work, local-first experience

People often describe Manus-style agents as systems that can take a broad goal and work through steps on their own. Numa fits that direction, but with a different product center.

Numa is not trying to be only a remote browser worker. It is trying to become the agent that lives beside your daily computer work.

That means Numa is strongest when the task involves your actual environment:

  • A folder on your desktop
  • A spreadsheet on your machine
  • A logged-in dashboard
  • A workflow you personally taught it
  • A local app your team depends on

When a cloud/browser agent may be better

A cloud or browser-first agent can be a better fit when:

  • The task is fully web-based.
  • You want work isolated from your personal machine.
  • You do not need local files or desktop apps.
  • You want a disposable remote environment.
  • The task is mainly browsing, research, or web form filling.

Numa is not automatically better for every task. It is better when the desktop context matters.

When Numa may be better

Numa is a better fit when:

  • The work happens in local apps.
  • You need access to files on your computer.
  • The workflow is specific to your setup.
  • You want to teach the agent by recording yourself.
  • You want the agent to stay present while you work.
  • You want automation without waiting for every tool to expose an API.

Recordings are the key difference

Numa is not only a prompt-and-run agent. You can teach it by showing.

Record a workflow once, narrate the rules, define what "done" means, and use that workflow later. This matters for repeated work that depends on your exact habits.

Trust and access

A desktop agent needs significant permissions. Numa uses screen capture during active tasks and recordings, not as an always-on recording system.

You should review sensitive work, especially anything involving money, messaging, public posting, file deletion, or account changes.

Benchmarks

Benchmarks against Manus and other agents are coming soon. This draft intentionally avoids performance claims until those tests are ready.

Bottom line

Manus-style agents point toward AI that does work. Numa brings that idea to your actual desktop.

If the work is mostly in a cloud browser, a browser agent may fit. If the work depends on your local apps, files, workflows, and desktop context, Numa is built for that.

Suggested internal links:

  • /desktop-ai-agent
  • /computer-use-ai
  • /compare/chatgpt
  • /use-cases/automate-desktop-apps
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