Eko

You will choose this on language and runtime rather than cleverness. Being able to run the same agent inside a server process, a page or an extension means the automation lives where the work lives, and that placement is the deciding daily trait, because browser tasks fail mostly on session state and being inside the session removes the hardest part of the problem.

Pick it if your stack is already TypeScript and the tasks are web-shaped. Pick Browser Use when your team is Python-first and would rather not maintain a second toolchain for this.

Two risks meet in the same design. An instruction is turned into a workflow by a model, so the plan itself is generated output with no test that would catch a wrong one, and a wrong plan executes competently in the wrong direction. Placing that in an extension gives it the user's authenticated context across every site, which converts a planning error into an action taken as the user.

What it does right: pause, resume and interrupt with snapshots give a person an actual stop button, which most of this category still treats as optional.

1. Separating a planning phase from an execution phase makes the intermediate artefact inspectable, which is the precondition for ever debugging one of these systems. 2. Execution respects declared dependencies and runs independent branches concurrently, so parallelism follows the graph rather than a guess. 3. Human intervention is part of the documented lifecycle, and models are configured per agent, so a cheap model can handle a cheap step.

No benchmark is published for any of it. The observation: the plan being a first-class object is worth more than the parallelism, and the documentation emphasises the parallelism.

Read the ownership and the strategy is legible. A company selling a browser agent publishes the framework that teaches developers to think in its terms, which is cheap distribution and a hiring funnel, and 4,955 stars say the channel is working. It also means the roadmap serves the commercial product, so features that help the framework but not the browser will lose that argument every time.

Likely acquirer: a browser vendor or an automation platform buying the team and the position. Position: use the library, and read its releases as signals about the parent's plans.

One sentence on the demo: it filled in a form and paused when asked. Commercially this is a dependency rather than a purchase, so the invoice is inference on a contract we hold and the rollout is a package manifest. The catch is that everything a security review would ask about, identity, retention, logging, becomes ours to build, because a library ships none of it. There is no unattended runner, so it cannot serve as scheduled automation on its own.

Onboarding is two days for a front-end engineer. Approved with conditions: one wrapped service, no extension deployment to staff machines.

The escape hatch is where it should be. Providers take a custom base URL, so the server on my own machine is configured exactly like a hosted one and no code changes to switch, and tool servers load natively rather than through a community shim somebody abandoned. Permissive licence, one package command, no account anywhere.

Models are set per agent, which means the expensive one plans and the cheap one grinds, and I decide which is which. It runs in a server process or a page, so I can embed it in things its authors never imagined. That is a library behaving like a library.