Score breakdown
Popularity is tracked separately. Support, ads, sponsorships, and tips never affect these signals.
Why it matters
Useful for builders who want a real browser agent that writes and reuses automation code instead of hiding everything behind a black-box click loop.
Who should use it
Who should skip it
Skip browser-use/browsercode unless the captured evidence suggests it solves a problem you are actively working on.
About this signal
browser-use/browsercode is tracked by RepoRadar as a browser automation in the Developer Tools section. It was first seen on 2026-06-28 and last updated on 2026-06-28. The current verdict is 'try now' with a Silver tier and moderate setup difficulty. browser-use/browsercode leads on workflow potential (9.3) and open-source/build quality (8.4); its lowest signal is momentum (5.0), so factor that in before investing setup time. This page summarizes the evidence RepoRadar has captured from captured source metadata. The score, tier, risk label, and verdict on this page are never influenced by sponsorship, ads, or tips — they reflect only the usefulness, popularity, novelty, momentum, maturity, and evidence signals described in the RepoRadar methodology.
How this item is evaluated
RepoRadar assigned browser-use/browsercode a composite score of 7.8 out of 10, placing it in the Silver tier. This score combines weighted sub-signals: usefulness (35%), novelty (18%), momentum (14%), maturity (10%), open-source/build quality (7%), evidence quality (6%), workflow potential (6%), and setup ease (4%). Popularity is tracked separately at 1.0 and never affects the composite score or tier. The risk label of 'conditional' reflects inherent user-impacting hazards, not generic novelty. Items with no risk flag may still require normal code review before production use.
Putting this into practice? Read How to evaluate an AI tool before you adopt it for the checklist behind this score.
Risk explanation
It can connect to your current browser tab or take over a live browser profile, so logged-in sessions in open tabs are exposed to the agent for the duration of the run; The README's recommended-model list includes forward-looking names like gpt-5.5 and claude-opus-4-7, so validate the exact provider and model route you plan to use instead of assuming the published leaderboard labels map cleanly to public APIs; Anonymous usage traces are enabled by default unless you set DO_NOT_TRACK=1, so privacy-sensitive teams should disable telemetry before evaluating it.