WebHarbor suite provides real website environments for GUI agents
WebHarbor offers 153 executable dockerized environments with 3518 tasks for evolving GUI agent training and evaluation.
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WebHarbor offers 153 executable dockerized environments with 3518 tasks for evolving GUI agent training and evaluation.
An 8B planning-plus-grounding agent nearly septuples the SFT baseline on Android and ties Gemini-3.1-Pro on real iOS apps.
The two-stage method uses reusable checkpoints and action disagreement to improve RL efficiency on MobileGym and CUA-Gym-Hub.
On AndroidControl it is 2.8–4.0x faster than a fine-tuned Qwen2.5-VL-7B agent while using 6% of the parameters.

The 27B model rose from 31.9 to 59.6 on real-device SPA-Bench, which the authors call the best open score.
Humans score 94.6%, GPT-5.5 79.4%, and the best open-source VLM only 31.6% on 601 tasks.
Across four frozen backbones, authors report Type Match up 33.2 points and Exact Match 3.0 times the frozen baseline.
OpenGCUA open-sources a generalist computer-use stack that lifts OSWorld-v2 scores and cuts steps.
OS-Helix-27B-RL reaches 66.44% on OSWorld-Verified, a further 42.9% relative gain after RL.
MAI-Gym unifies GUI-agent evaluation and online RL; its 9B agent scores 78.4% on MobileWorld.
Authors report AndroidWorld 79.9, MobileWorld 50.4, and SPA-Bench rising from 31.9 to 59.6.
RSI-Anything uses world models to select actions and updates, improving code repair, GUI tasks, and lab planning.
On RSWT-BENCH, where screen-only detectors are at chance, the training-free score hits 0.987 AUC in 17 ms.
GUI-HARVEST evolves GUI agent harnesses, lifting frozen Qwen3-VL by 12.33 points on OSWorld.
cua-speedrun standardizes virtual-machine infrastructure to measure computer-use agent speed, cost, and efficiency.
ComputerSD turns real-time GUI feedback into online self-distillation signals for computer-use agents.
ExpActivator activates only situation-applicable GUI history, lifting step success 28% while using far fewer tokens.
Jev-Mobile splits VLM planning from fast GUI execution, cutting AndroidWorld API cost 73% at similar success.
OSWorld-Pro scores computer-use agents on over 300 tasks; Claude Opus 5 reaches 75.7%.
Cua open-sources CUA-S1, a fast 'System One' model for driving computer-use agents, launched on GitHub via Show HN.
RecreationWorld benchmarks hybrid computer-use agents that rediscover and reimplement apps across five platforms.
MintAct vision-language models at 2B, 4B, and 8B unify UI grounding, multi-step navigation, and visual tool use, matching per-domain specialists.
EvoSkill-GUI introduces training-free skill revision for GUI agents, boosting MobileWorld, AndroidWorld, and OSWorld success by up to 16.2%.
CADWorld benchmark evaluates computer-use agents on 200 long-horizon FreeCAD tasks; best agent reaches 17.5% success versus 87% expert reference.
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