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 2 of 4
Chinese-language Codex skill adapted from jev-ultrafast that lets Codex hand multi-step Chrome tasks to Jev with preset inputs.
Agent skillbetaPythonBrowser and computer use for coding agents via CLI and MCP, with Jev's calibrated judgments and a code-owned control loop.
MCP serverbetaTypeScriptCodex browser skill where Jev handles navigation, clicks, toggles and scrolling while Codex handles text input and verification.
Agent skillbetaTypeScriptLocal browser automation workbench with an Edge/Chrome sidebar and Codex MCP sharing one Jev-driven task engine, with user confirmation.
MCP serverbetaTypeScriptMCP wingman that hands an agent's browser clicks and typing to Jev on a real logged-in Chromium, alongside Playwright MCP.
MCP serverbetaTypeScriptChrome side-panel extension where Jev drives the current tab toward a typed goal, or answers quick questions about highlighted text.
PluginbetaJavaScriptCodex plugin adding a bounded Jev decision loop to Computer Use for browser tabs and native macOS apps.
ProjectbetaTypeScript browser agent for ego lite where one Jev request picks the operation and indexed target element each step.
CLIbetaTypeScriptCodex browser plugin where Codex prepares inputs and Jev quickly picks each next action in local Chrome.
ProjectbetaTypeScriptClaude Code job-application tool that finds roles, fills forms in Chrome, reads every answer back and sends only those you approve.
ProjectbetaTypeScriptClaude Code kit wiring Jev into a tool-call guard, sub-agent sizing, file search, a browser agent, review, belay and compaction.
ProjectbetaPythonJev browser agent that pierces shadow DOM and iframes, adds canvas fallback and full actions, with one Jev request per cycle.
MCP serverbetaPythonMCP server that lets Claude Code or Codex drive real Chrome with Jev picking elements and checking steps, plus safety gates and traces.
MCP serverbetaTypeScriptDrop-in proxy for Playwright MCP that adds Jev page triage, prompt-injection masking, snapshot pruning and risky-action gating.
MCP serverbetaTypeScriptFast browser-use layer for coding agents: Jev picks the operation and target element each step, via MCP server or CLI.
MCP serverbetaPythonchrome-devtools-mcp plus one 'reach' tool: Jev walks the browser to the right spot so the agent makes a single devtools call there.
MCP serverbetaTypeScriptOne-command npx installer for a set of Jev-powered agent tools: context compaction, browser agent, prompt enhancer and skill router.
ProjectbetaJavaScriptChinese UI test framework where Jev scores candidate page elements for each step of a natural-language test case.
ProjectbetaPythonMCP server that takes a whole browser task (URL, goal, checks) in one call and drives Chrome server-side with a decision model.
MCP serverbetaPythonManifest V3 Chrome port of jev-ultrafast that drives your current tab, with Jev choosing each operation and element.
Browser extensionbetaTypeScriptCucumber runner where Jev resolves each Gherkin step against the live page and Playwright executes it, so tests need only the .feature file.
ProjectbetaTypeScriptOpen-source desktop browser agent where a language model plans, Jev chooses the executable action and Chromium carries it out.
ProjectbetaTypeScriptBrowser tests written as user steps: Jev finds each control once, the path is recorded, and replays run without the model.
ProjectbetaTypeScriptCommunity runner for Midscene Test adding jevAct, jevAssert and jevWaitFor nodes that use Jev over a bounded, non-text action space.
PluginbetaTypeScriptNode CLI for goal-driven E2E tests: Jev picks the next step from a code-generated action space, playwright-cli executes, code asserts.
CLIbetaJavaScriptPrebuilt browser, computer-use, robotics and game agents whose actions come from Jev, Laya or Cua-S1, with a scaffold for new agents.
ProjectbetaPythonChrome extension that sorts every tab into named groups with one parallel Jev Choice per tab, or via an LLM that invents group names.
PluginbetaJavaScriptRust harness for desktop and browser automation where Jev answers small closed questions about the screen to pick each action.
ProjectbetaRustBrowser automation where Jev picks every step from a sightmap's named actions and reports whether the goal is met.
ProjectbetaGomacOS computer-use loop that OCRs the screen, has Jev pick the next action from a short list, and clicks, at about $0.0002 a step.
ProjectbetaPython