Score breakdown
Popularity is tracked separately. Support, ads, sponsorships, and tips never affect these signals.
Why it matters
Useful for robotics builders who want one control layer for webcam, MuJoCo, and real hardware with stronger auditability than ad hoc scripts.
Who should use it
Who should skip it
Pass on publu/RoboRun if your environment cannot support the access controls and sandboxing this risk profile requires.
About this signal
publu/RoboRun is tracked by RepoRadar as a robotics agent in the AI Infrastructure section. It was first seen on 2026-06-30 and last updated on 2026-06-30. The current verdict is 'worth watch' with a Silver tier and advanced setup difficulty. Across RepoRadar's eight signals, publu/RoboRun is strongest on open-source/build quality (8.4) and novelty (8.0) and weakest on momentum (2.0) — a profile worth weighing against your own priorities. 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 publu/RoboRun a composite score of 7.5 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 'medium' 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 vet an AI agent or MCP server before you wire it in for the checklist behind this score.
Risk explanation
It can drive real robots and call external tools through MCP, so first evaluation belongs in simulation or a physically safe test area with conservative motion limits; The runtime supports local and hosted LLM calls plus behavior hot reload, so review model routing and tool exposure before letting it operate unsupervised hardware.