GELab Zero
Open mobile GUI agent stack pairing a 4B model that runs on consumer hardware with local multi-device infrastructure, an MCP server, and AndroidDaily benchmark tasks.
Android
手机操作
已审阅并标注「手机操作」的研究与资产。
条目依据已审阅标签归类，同一主题不表示资源之间存在依赖关系。日期保留来源精度，注释保留原语言。
GELab Zero 4B Preview
Preview GELab-Zero phone-use agent checkpoint fine-tuned from Qwen3-VL-4B-Instruct, with about 4.4B BF16 parameters, tagged for Android in English and Chinese, under Apache-2.0.
Android
Magma
Microsoft foundation model for multimodal agents, pretrained with Set-of-Mark and Trace-of-Mark objectives on UI, robotics and video data and fine-tunable for web and mobile UI navigation.
网页
MAI-UI 8B
A released MAI-UI checkpoint combining mobile GUI actions, agent-user interaction and tool-use-oriented navigation.
Android
MobileRL 9B checkpoint
A GLM-4.1V-based mobile action checkpoint released by the MobileRL project for Android interaction.
Android
OpenMobile-2 27B
Mobile-agent checkpoint based on Qwen3.6-27B for GUI and app-native tool interaction.
Android网页
OpenMobile-2 9B
Mobile-agent checkpoint trained on OpenMobile-Data-v2 for screenshot actions and app-native tool calls.
Android网页
OS-Genesis 7B AC
The AndroidControl-oriented Qwen2-VL checkpoint trained with mobile trajectories generated through OS-Genesis reverse task synthesis.
Android
UI-Genie Agent 7B
A Qwen2.5-VL mobile action model trained using existing and reward-guided synthetic trajectories from the UI-Genie framework.
Android
UI-S1 7B
A mobile GUI checkpoint trained with semi-online reinforcement learning that uses offline trajectories to improve multi-turn action prediction.
Android
AppAgent
Multimodal agent that operates Android apps through taps and swipes without back-end access, building a reusable knowledge base from autonomous exploration or from watching human demonstrations.
Android
AppAgent Pro
Proactive Android agent built on AppAgent that uses GPT-4o to decide whether YouTube or Amazon content would help, operates those apps over ADB, and merges what it finds into its answer.
Android
Auto-GUI / Auto-UI
Screenshot-based mobile agent implementation with training and inference code for chain-of-action prediction.
Android
AutoDroid
LLM-powered Android task automation built on DroidBot, released with DroidTask, a dataset of per-app screenshots, view hierarchies, exploration records and ground-truth task files.
Android
AutoDroid V2
An Android automation implementation that builds app documentation from exploration traces and evaluates language-model-generated execution code in emulator workflows.
Android
CHOP
Mobile automation framework that uses reusable basis subtasks to constrain and refine planning between user goals and executable actions.
Android鸿蒙
CoAT research implementation
Research scripts that generate screen descriptions, action reasoning and expected outcomes, then predict Android GUI actions using the resulting Chain-of-Action-Thought context.
Android
CoCo-Agent
Research implementation combining screen and layout perception with conditional action prediction for smartphone automation.
Android
LearnAct
Released inference and evaluation code for demonstration-conditioned mobile GUI agents on LearnGUI-Offline. The repository describes a multi-agent adaptation method and links the LearnGUI demonstrations.
MAI-UI inference and evaluation code
Published MAI-UI grounding and navigation-agent implementations with inference demos and evaluation scripts.
Android
META-GUI baseline
Training and evaluation pipeline for conversational mobile GUI agents, with action prediction, response generation, and dataset processing.
MobA
An Android agent that combines global task planning and memory with a local action executor, using reflection to revise mobile interaction steps.
Android
Mobile Next MCP
An MCP server exposing mobile accessibility snapshots, screenshots and device interactions across real devices, simulators and emulators.
AndroidiOS
Mobile Use
Android GUI agent that operates real phones through ADB with hierarchical reflection and a multi-agent framework, run from a web interface or Python and evaluated on AndroidWorld and AndroidLab.
Android
Mobile-Agent-E code component
Android automation component with hierarchical planning, reflection and persistent tips/shortcuts learned across task sequences.
Android
MobileAgent (Alipay)
Mobile-control research implementation combining operating-procedure context with human interaction for personalized task execution.
Android
MobileForge
Android GUI-agent adaptation framework combining app exploration, generated curricula and rollout feedback with hint-conditioned step-level GRPO; the documented public training path targets Qwen3-VL-8B.
Android
MobileGPT
An Android client and Python-server agent that learns reusable app subtasks through exploration, selection, derivation and memory recall.
Android
Mobilerun (formerly Droidrun)
A framework that combines screenshots and accessibility state with agent tools for mobile-device tasks through command-line and Python interfaces.
AndroidiOS
Mobilerun Portal (formerly Droidrun Portal)
An Android accessibility service that exposes UI-element inspection, device-control interfaces and screen feedback to mobile automation agents.
Android
Mobster engine
iOS agent engine organized around an observe, decide, verify and act loop, using WebDriverAgent screen state and phone actions such as taps, typing, swipes and app switches.
iOS
OpenMobile-2 code
Evaluation adapters and training guidance for OpenMobile-2 across Android emulators and browser-rendered mobile simulation.
Android网页
OS-Kairos
Android GUI-agent research implementation that uses confidence-guided interaction to choose between autonomous actions and human assistance.
Android
SwitchMem
Memory-routing implementation that chooses text or image demonstrations for a frozen GUI actor, with offline evaluation and Android transfer experiments.
Android
VEM GUI-Agent-RL
Training code that learns a value environment model from offline Android interaction data and uses its frozen value estimates to guide GUI policy optimization.
Android
VeriOS
Research code for proactive human–GUI-agent verification, including offline interaction-loop and dual-agent evaluation scripts plus LLaMA-Factory fine-tuning configurations.
VeriSafe Agent
Runtime verification framework for Android GUI agents that checks proposed actions against logical rules derived from user instructions and developer-defined app states.
Android
VisionTasker
An Android automation implementation that translates screenshot-based UI understanding into language descriptions for step-by-step LLM planning and action execution.
Android
Yunkai
Android phone assistant combining model-driven tool use with accessibility-tree reading, screenshots, and tap, swipe and text-entry primitives. Its documented interaction flow presents operation plans for user confirmation.
Android
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