Score breakdown
Popularity is tracked separately. Support, ads, sponsorships, and tips never affect these signals.
Why it matters
Useful for Android power users, accessibility-first users, and mobile-AI builders who need an open-source autonomous AI agent for Android that turns natural-language commands into multi-step device actions via the built-in Android Accessibility framework with self-planning, dependency tracking, re-evaluation on failure, compound intent detection, 4-tier contact resolution, full device control (sys
Who should use it
Who should skip it
Consider yashab-cyber/opendroid lower priority if you already have a working solution in this category.
About this signal
yashab-cyber/opendroid is tracked by RepoRadar as a tool in the Radar section. It was first seen on 2026-07-09 and last updated on 2026-07-09. The current verdict is 'try now' with a Silver tier and moderate setup difficulty. The standout signals for yashab-cyber/opendroid are momentum (9.0) and workflow potential (8.5), while maturity (5.7) trails — that balance shapes where it fits best. 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 yashab-cyber/opendroid 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 0.0 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
Conditional risk: review permissions, runtime environment, and data boundaries before production use.