# inclusionAI/UI-Venus

UI-Venus is a general-purpose foundation GUI agent for mobile apps, web platforms, and desktop operating systems using only screenshots as input.

Repository: https://github.com/inclusionAI/UI-Venus
Canonical: https://ross.abutalabs.com/products/ui-venus
Language: HTML
License Family: other
Topics: multimodel-large-language-model, gui-agent, gui-grounding, reinforcement-learning-algorithms, gui-captcha-solver
Last push: 2026-09-02T05:49:45+00:00

## Health v2 (maintenance only)
Score: 63/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 100, release rhythm 35, longevity 27
- inputs: {"age_days": 383, "days_push": 0, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1032, forks 84 (observed 2026-09-03T02:15:12.919970+00:00)

## What it is
UI-Venus is a family of open-source multimodal GUI agent models (9B/27B) that perform UI element grounding and task navigation from screenshots alone across mobile, web, and desktop environments. It is trained with reinforcement learning using keypoint-grounded verification and reflection supervision.

## Use cases
- automate tasks in mobile apps from screenshots
- ground and click UI elements on a screen
- build a computer-use agent for desktop OS interaction
- navigate web pages autonomously with a vision-language model
- benchmark GUI agents on mobile tasks
- train a UI agent with reinforcement learning

## When to choose
- you need screenshot-only GUI automation across mobile, web, and desktop
- you want an open-weights foundation GUI agent to fine-tune or deploy
- you need robust long-horizon task completion with reflection and verification

## When to avoid
- you need DOM/accessibility-tree-based automation rather than vision-only grounding
- you need a lightweight non-ML automation tool like Selenium or Playwright
- you lack GPU resources to run 9B/27B models

## Facets
- artifact type: library
- maturity: active
- function: agent-framework, computer-vision, machine-learning, reinforcement-learning, llm-inference
- domain: artificial-intelligence, computer-vision
- platform: python, cross-platform
- tags: gui-agent, ui-grounding, multimodal-llm, screenshot-input, computer-use, mobile-automation, huggingface-model, ai-agents, automation, gpu

## Member repositories
- inclusionAI/UI-Venus (main) score 63

## Provenance
- Observed fields: from GitHub, fetched 2026-09-03T02:15:12.919970+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T07:11:56.870605+00:00, confidence not recorded.
  - readme: https://github.com/inclusionAI/UI-Venus (fetched 2026-09-03T02:15:12.919970+00:00, sha 75657034ba65)
- Data as of 2026-08-30T08:39:29.467469+00:00.