Desktop and mobile control with decision models
Picking the next control and action from accessibility trees, OCR output or screenshots to drive desktop and phone apps.
76 public projects · page 3 of 3
Zero-dependency Node library with MCP and ACP adapters adding Jev decisions and gated computer use beside any LLM agent.
MCP serverbetaTypeScriptKotlin Android SDK where Jev or DeepSeek selects actions from on-screen controls and an accessibility service executes them.
LibraryprototypeKotlinNative macOS launcher and window manager that optionally uses Jev to match loose natural-language commands to known actions.
DemobetaSwiftmacOS bookkeeping clerk booking supplier invoices: Jev picks each click from a closed list; a deep model rewrites the playbook.
ServiceprototypePythonStandalone Android agent on Mobilerun where Jev picks every operation and target, with a live React studio, CLI and traces.
CLIprototypeTypeScriptOneJev: open multimodal System One model (0.8B-27B) answering typed questions about screenshots, photos, video and text in one pass.
ModelbetaPython- CLM★ 3,014
CLM-8B, a contrastively trained System One model that embeds states and actions separately, served behind a TypeSafe-compatible API.
ServiceresearchPython 706K-parameter Jev-style option scorer that rates fill, check, click or skip for each form element in one parallel pass.
ModelresearchPythonOpen Jev-style decision models with vision (Qwen3.5 4B/9B LoRA) serving Choice, Score and Noul on /v1/systemone.
LibraryresearchPythonBrowser and macOS desktop agent for Pi where Jev picks each action from a structured text observation in a bounded loop.
BenchmarkbetaTypeScript10,000-sample multimodal benchmark for decision models that return full probability distributions over declared candidates.
BenchmarkresearchPythonDrives a phone with Jev choosing each action while the phone-use runtime executes it on iOS and Android.
ProjectmacOS voice agent where Jev picks each step's operation and target control, escalating to an LLM agent when unsure.
ArticleproductionX post by Aaron Levin describing a computer-use agent built on Jev, with claimed cost and speed advantages over a frontier LLM.
DiscussiondiscussionCua's X announcement of CUA-S1, a family of small open System One models specialised for computer use, starting with form filling.
DiscussiondiscussionX post by a WebMCP benchmark author reporting Jev plus a small LLM solved 100% of tasks at about 112x lower model cost.
Discussiondiscussion