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Browser automation with decision models

Choosing the next browser operation and target element from page state, with a small text model writing input only when needed. Covers web agents, scraping flows and browser testing.

120 public projects · page 1 of 4

  • Cline's official curated plugin collection, which includes jev-browser, jev-guard and jev-playground plugins.

    PluginproductionTypeScript
  • RAM-efficient Rust coding-agent harness, listed as using Jev decisions for memory pruning, browser navigation and voice routing.

    ServiceproductionRust
  • MCP server and libraries that drive Chrome over CDP and hand a decision model like Jev a bounded menu of page actions.

    ProjectproductionTypeScript
  • Headless browser automation via MCP server, CLI or library: Jev picks one action per step and scores goal-met and stuck probabilities.

    MCP serverbetaTypeScript
  • Local browser agent that picks each step's operation and element with a Jev-shaped model such as a fine-tuned Laya, no cloud needed.

    MCP serverbetaPython
  • Claude Desktop MCP extension that drives Brave or Chrome with Jev choosing on-page actions and a guard freezing irreversible clicks.

    MCP serverbetaTypeScript
  • Browser-agent benchmark with five timed events from one prompt, plus a ~200-line DevTools agent where Jev picks each action.

    ProjectbetaJavaScript
  • Chrome MCP server with 50 tools that drives your everyday browser without losing logins, where Jev or a local decider picks each step.

    MCP serverbeta
  • Lets coding agents run whole goals in your signed-in Chrome on macOS in background tabs, asking Jev or Claude Haiku only for real choices.

    Projectbeta
  • Cline plugin with an isolated Playwright browser where Jev picks each operation and target from DOM observations, with screenshots.

    PluginbetaTypeScript
  • Stealth browser agent where Jev decides each step in about 0.3 s and CloakBrowser carries it out; MCP server, CLI and Python API.

    MCP serverbetaPython
  • CodexQA browser skill that indexes in-page controls and has Jev pick the operation and target each step, with no screenshots needed.

    Agent skillbeta
  • Computer-use platform (Cua Spaces, Driver, Lume) with CUA-S1 small decision models and a preview jev-use example for bounded actions.

    ProjectbetaPython
  • Chrome extension page guide whose small typed decisions (request type, element to click, match or not) use Jev or local Laya.

    ProjectbetaJavaScript
  • Agent skill porting jev-ultrafast's loop into ego lite: one ~0.4 s Jev call per DOM step picks operation and target.

    Agent skillbetaTypeScript
  • Agent skill where Ego Lite drives the browser and Jev resolves semantic choices: targets, filtering, ranking and evidence checks.

    ProjectbetaMarkdown + TypeScript
  • ego-decision-layer: measured, pluggable decision layer for ego lite where Jev picks operation and target in one request.

    ProjectbetaTypeScript
  • Browser agent where Jev picks each action from indexed page controls, an LLM plans and reads, and answers cite page quotes.

    ProjectbetaPython
  • Local stdio MCP server that executes whole browser and macOS goals with a Jev-driven observe-decide-act loop.

    MCP serverbetaTypeScript
  • Goal-driven browser agent where each step is one Jev choice over the page's controls, then reviews the run for root causes.

    AppbetaTypeScript
  • Chrome extension port of Jev Ultrafast that drives your current tab, with Jev picking the operation and element each step.

    Browser extensionbetaTypeScript
  • Browser Use's browser agent where Jev picks an operation and page element in one request and a small LLM only writes text to type.

    LibrarybetaPython
  • Bounded browser execution for parent agents: Jev picks the next typed action, agent-browser runs it, stuck states hand back.

    ProjectbetaTypeScript
  • Helpers for browser-harness that let Claude Code or Codex hand off a whole website sub-task in one call, with Jev deciding each step.

    ProjectbetaPython
  • Agent-plugin browser tool where Jev picks one operation and one row from a numbered page table; a small LLM only writes typed text.

    ProjectbetaTypeScript
  • Browser automation CLI with an interactive terminal and structured commands for agents, using Jev decisions and agent-browser execution.

    CLIbetaTypeScript
  • Plugs any CDP browser, including engines that never draw a page, into a Jev loop that picks operations and targets from the DOM.

    LibrarybetaPython
  • Chrome extension plus MCP server so Claude or Codex can drive your real Chrome, with Jev picking each click in about half a second.

    MCP serverbetaTypeScript
  • Python decision layer for browser and desktop automation: code observes, acts and verifies; the model makes one typed choice per step.

    ProjectbetaPython
  • Browser QA where Playwright drives and records while Jev judges assertions, matches controls to intent and picks goal-directed clicks.

    Agent skillbetaTypeScript

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