FRENES

Computer use · AI agent

Observer: review, pricing, security and alternatives

Observer is an open-source AI agent published by Roy3838, in the computer use family. A set of local micro-agents that monitor screen content using language models running on the user's own machine. Its repository has 1,657 stars and its last commit is from October 20, 2026.

Open sourceSelf-hostableActively maintainedLow risk

What Observer does

Observer belongs to the computer use family: agents that see the screen and drive the keyboard and mouse of a computer or phone. On our grid it ranks #8 of the 17 projects of this family listed in the directory.

Who is Observer for?

It is for people who want to automate desktop software with no API, by driving the screen as a person would. Typical tasks people give it:

  • chain actions in legacy business software
  • copy data from one application to another
  • test a desktop application

It is a good candidate if your data must stay on your machines and you want the option of a local model, with no API fees.

Access and human control

Its documentation does not detail the access granted to the agent: check the settings before connecting it to your accounts.

We could not establish whether it asks for human approval before sensitive actions: test it first on an unimportant account or folder.

Run commands in a terminalRun commands in a terminal : 6 %6 %Read and edit filesRead and edit files : 12 %12 %Drive a web browserDrive a web browser : 35 %35 %Control the screen, keyboard and mControl the screen, keyboard and m : 88 %88 %
Share of the 17 agents in the family that have each access, according to their documentation. In orange, Observer's access.

Observer pricing

The code is free, under the AGPL-3.0 licence.

Getting started with Observer

  1. Install it: the project ships as a Node.js package (install with npm, or run directly with npx). The exact command is in the repository README.
  2. Pick the model: an API key from a provider, or a local model if your machine has enough graphics memory (the VRAM calculator tells you).
  3. Give it a first playground with nothing at stake: a test folder, a secondary account or a throwaway project. Only open your real accounts once you have seen how it behaves.
  4. Give it a short, checkable task, review the result and its action log, then raise the difficulty step by step.

Security: risk level

An agent that controls the computer has the same rights as you: run it in a dedicated virtual machine.

Three habits: least privilege (minimal rights, dedicated keys), human approval for irreversible actions, a sandbox for code execution. The AI agent security check reviews your setup in a few minutes.

Project activity and releases

Created on February 5, 2025, the Roy3838/Observer repository has 1,657 stars, 141 forks and 0 open issues, with 1,775 commits in total. It received changes this month.

Over the last 52 weeks: 888 commits, an average of 17.1 per week.

Nov 2, : 9 · Nov 2, 2025Nov 2,Nov 9, : 25 · Nov 9, 2025Nov 16, : 14 · Nov 16, 2025Nov 23, : 29 · Nov 23, 2025Nov 30, : 22 · Nov 30, 2025Dec 7, : 12 · Dec 7, 2025Dec 14, : 1 · Dec 14, 2025Dec 21, : 9 · Dec 21, 2025Dec 28, : 2 · Dec 28, 2025Dec 28,Jan 4, : 9 · Jan 4, 2026Jan 11, : 6 · Jan 11, 2026Jan 18, : 8 · Jan 18, 2026Jan 25, : 16 · Jan 25, 2026Feb 1, : 29 · Feb 1, 2026Feb 8, : 0 · Feb 8, 2026Feb 15, : 18 · Feb 15, 2026Feb 22, : 10 · Feb 22, 2026Feb 22,Mar 1, : 32 · Mar 1, 2026Mar 8, : 17 · Mar 8, 2026Mar 15, : 12 · Mar 15, 2026Mar 22, : 13 · Mar 22, 2026Mar 29, : 9 · Mar 29, 2026Apr 5, : 7 · Apr 5, 2026Apr 12, : 16 · Apr 12, 2026Apr 19, : 13 · Apr 19, 2026Apr 19,Apr 26, : 74 · Apr 26, 2026May 3, : 62 · May 3, 2026May 10, : 47 · May 10, 2026May 17, : 5 · May 17, 2026May 24, : 19 · May 24, 2026May 31, : 19 · May 31, 2026Jun 7, : 34 · Jun 7, 2026Jun 14, : 22 · Jun 14, 2026Jun 14,Jun 21, : 6 · Jun 21, 2026Jun 28, : 4 · Jun 28, 2026Jul 5, : 4 · Jul 5, 2026Jul 12, : 4 · Jul 12, 2026Jul 19, : 3 · Jul 19, 2026Jul 26, : 8 · Jul 26, 2026Aug 2, : 1 · Aug 2, 2026Aug 9, : 12 · Aug 9, 2026Aug 9,Aug 16, : 17 · Aug 16, 2026Aug 23, : 10 · Aug 23, 2026Aug 30, : 10 · Aug 30, 2026Sep 6, : 10 · Sep 6, 2026Sep 13, : 16 · Sep 13, 2026Sep 20, : 49 · Sep 20, 2026Sep 27, : 43 · Sep 27, 2026Oct 4, : 35 · Oct 4, 2026Oct 4,Oct 11, : 18 · Oct 11, 2026Oct 18, : 17 · Oct 18, 2026Oct 25, : 1 · Oct 25, 2026Oct 25,
Commits per week on the main repository, last 52 weeks (GitHub API, checked October 25, 2026).

53 releases in total; 30 in the last twelve months. Latest release: v3.1.1, on October 16, 2026.

v2.4.2 · Jun 29, 2026v2.4.2Jun 29, 2026v2.4.3 · Jul 8, 2026v2.4.5 · Jul 17, 2026v2.5.0 · Jul 22, 2026v2.5.1 · Aug 4, 2026v2.5.2 · Aug 11, 2026v2.5.3 · Aug 20, 2026v2.5.4 · Aug 27, 2026v2.5.5 · Aug 31, 2026v2.5.6 · Sep 7, 2026v2.5.7 · Sep 12, 2026v3.0.0 · Sep 18, 2026v3.0.1 · Sep 21, 2026v3.0.2 · Sep 24, 2026v3.0.3 · Oct 2, 2026v3.0.4 · Oct 4, 2026v3.0.5 · Oct 6, 2026v3.0.6 · Oct 8, 2026v3.1.0 · Oct 13, 2026v3.1.1 · Oct 16, 2026v3.1.1Oct 16, 2026
The latest 20 releases published on GitHub (hover a point for details).

Observer vs other computer use

GitHub stars of the best-rated open-source projects in the computer use family. Stars measure attention, not quality: a heavily promoted project collects them fast, a specialised tool will have few.

MidsceneMidscene : 15.4K15.4KCuaCua : 30.9K30.9KMobilerunMobilerun : 9.8K9.8KGenericAgentGenericAgent : 14.3K14.3KOpenBotOpenBot : 7K7KUI-TARS DesktopUI-TARS Desktop : 39.4K39.4KOpenMausBotOpenMausBot : 5.5K5.5KObserverObserver : 1.7K1.7K
Log scale; Observer in orange. Checked October 25, 2026.

Observer and other computer use at a glance

The 7 best-ranked agents in the same family, 7 of them open source. The score out of 100 only applies to open-source projects; for proprietary services we show the published entry price. A dash marks information the documentation does not state.

Quick comparison: computer use
AgentModelScoreStars or entry priceSelf-hostableHuman approval
Observeropen source701.7K ★yes–
Midsceneopen source8115.4K ★yes–
Cuaopen source8030.9K ★yes–
Mobilerunopen source799.8K ★yes–
GenericAgentopen source7314.3K ★yes–
OpenBotopen source727K ★yes–
UI-TARS Desktopopen source7139.4K ★yes–
OpenMausBotopen source715.5K ★yes–

How we rated it

Score: 70/100, computed only from public, verifiable data, with no subjective testing or partnership:

  • Adoption 15/40: 1,657 stars on a log scale (40 points from about 200,000).
  • Activity 30/30: last commit less than a month ago, 28 releases in six months, 888 commits in a year.
  • Framework 25/30: licence, default human approval, self-hosting, model choice and documentation site.

The score does not say whether the agent will succeed at your tasks: it measures how solid the project is. The full grid is on the method page.

Verdict

Observer is a serious option; check the limitations below before granting it access.

Strengths

  • Very active development
  • Frequent releases (30 in a year)
  • Can run on your side: data under control
  • Free choice of model

Limitations

  • Tied to a single model provider (local models (Ollama, llama.cpp, vLLM…))

Frequently asked questions

Is Observer free?

The software is free (AGPL-3.0 licence). You still pay for the model calls, unless you use a local model.

Is Observer safe?

Our risk level: low. Give it minimum rights and approve irreversible actions.

Which models does Observer use?

According to its documentation: local models (Ollama, llama.cpp, vLLM…).

Can Observer be installed on your own server?

Yes, from the Roy3838/Observer repository. Data then stays with you, but security and updates are your job.

What are the alternatives to Observer?

In the same family: Midscene, Cua, Mobilerun, and GenericAgent.

Observer or Midscene: what is the difference?

Both belong to the computer use family. Observer has 1.7K stars against 15.4K for Midscene. The right choice mostly depends on the access you are willing to give it.

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Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score