Score breakdown
Popularity is tracked separately. Support, ads, sponsorships, and tips never affect these signals.
Why it matters
Useful for agent researchers who need a language world model baseline (35B-A3B MoE, 256K context) that they can compare against when designing agent planning, search, or rollout harnesses; for agent-stack builders who want a fast text-in / text-out simulator they can call inside their agent loop without the cost of a real environment; for evaluation teams who need AgentWorldBench as a 7-domain rep
Who should use it
Who should skip it
Move on from QwenLM/Qwen-AgentWorld if the licensing terms, language support, or platform requirements do not fit your project.
About this signal
QwenLM/Qwen-AgentWorld is tracked by RepoRadar as a language world model in the Apache-2.0 Language World Model (Qwen-AgentWorld section. It was first seen on 2026-06-25 and last updated on 2026-06-25. The current verdict is 'try now' with a Silver tier and review needed setup difficulty. Across RepoRadar's eight signals, QwenLM/Qwen-AgentWorld is strongest on novelty (10.0) and momentum (10.0) and weakest on setup ease (6.5) — 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 QwenLM/Qwen-AgentWorld a composite score of 7.9 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 266.0 and never affects the composite score or tier. The risk label of 'low' reflects inherent user-impacting hazards, not generic novelty. Items with no risk flag may still require normal code review before production use.
Risk explanation
Risk label needs manual review.