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Agent Decisions

The decision step inside an agent loop: which action or UI element to pick next, whether to keep or drop context, when to stop, retry or hand back to a larger model. Browser, desktop and mobile control agents are the largest group.

340 public projects · page 7 of 12

  • Node CLI for goal-driven E2E tests: Jev picks the next step from a code-generated action space, playwright-cli executes, code asserts.

    CLIbetaJavaScript
  • Parallel web search CLI and MCP server where Jev scores fetched pages and picks which links to follow next.

    ProjectbetaPython
  • Computer-use MCP server for macOS and Windows that reads the UI tree and uses Jev to find elements, check screens and wait for states.

    MCP serverbetaPython
  • Codex plugin that runs polls on simulated reader profiles with a System One model, recording typed answers for follow-up studies.

    ProjectbetaTypeScript
  • DeepSeek Harness plugins that filter tool output, prune stale context and disclose skills progressively, with Jev or Laya judging what goes.

    PluginbetaTypeScript
  • Prebuilt browser, computer-use, robotics and game agents whose actions come from Jev, Laya or Cua-S1, with a scaffold for new agents.

    ProjectbetaPython
  • Local open-source work assistant that turns mail and tickets into agent tasks, with an optional Jev condition-check module.

    ProjectbetaPython
  • Rust harness for desktop and browser automation where Jev answers small closed questions about the screen to pick each action.

    ProjectbetaRust
  • Browser automation where Jev picks every step from a sightmap's named actions and reports whether the goal is met.

    ProjectbetaGo
  • Unofficial Codex and Claude Code MCP plugin giving agents bounded Jev tools for routing, ranking, extraction, verification and judging.

    MCP serverbeta
  • macOS 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
  • Claude Code function hook that sends the agent's this-or-that questions to Jev and optionally ranks installed skills per prompt.

    ProjectbetaTypeScript
  • Chinese multi-seat exploration engine for game and rule-system design; Jev only gates whether to start deep exploration or ask.

    ProjectbetaJavaScript
  • Windows Codex skill that safely installs and verifies save-token-jev hooks, where Jev picks which tool records to keep across compaction.

    HookbetaJavaScript
  • Windows automation and durable research MCP server for Codex and Claude Code where Jev chooses among bounded UI Automation actions.

    MCP serverbeta
  • Self-hosted Yao Agents platform for agents, workspaces and task boards across devices, which announces Jev support.

    Projectbeta
  • Pi coding agent extensions, including pi-jev-router, which asks Jev whether a prompt should continue, fork or start a new session.

    PluginbetaTypeScript
  • Event-driven multi-agent network where Jev watches live state and assigns pending tasks to idle general-purpose agents.

    ProjectprototypePython
  • Platform pairing an LLM with werr, a claimed sub-millisecond fractal decision engine that returns typed noul, choice and score answers.

    Projectprototype
  • Pi coding harness where any LLM writes and Jev returns typed reflex scores that policy code turns into allow, confirm, block, warn or steer.

    ProjectprototypeTypeScript
  • Single-file Python script that answers Bilibili's 100-question hardcore membership quiz by asking Jev to pick each multiple-choice answer.

    ProjectprototypePython
  • Lets Jev choose concrete browser actions while Codex or Browser Use's engine handles generation, recovery and final verification.

    ProjectprototypePython
  • Go macOS controller where Jev picks the next accessibility action, the target element and whether the goal is done.

    ProjectprototypeGo
  • Pulumi example where Jev picks the best cloud region and modules per user location while code does pricing math and provisioning.

    ProjectprototypeTypeScript
  • Self-hosted memory MCP server on Cloudflare Workers where a Jev layer judges memory type, salience and durability and re-ranks recall.

    MCP serverprototypeTypeScript
  • DeepSeek Harness jev_decide tool that brings the Jev decision paradigm to any OpenAI-compatible LLM, or to real Jev with a key.

    ProjectprototypeTypeScript
  • DeepSeek Harness plugin for budgeted, read-only GPT 'teacher' consults; Jev may only suggest when a consult is worthwhile.

    ProjectprototypeJavaScript
  • Six-file DSPy coding agent where Jev answers closed questions (safety, tool fit, history, delegation) and Python owns policy.

    ProjectprototypePython
  • Small bounded loop joining ego-lite snapshots with Jev choices over a fixed action space mapped back to observed refs.

    ProjectprototypeTypeScript
  • Pairs Jev with the get-fable lifecycle harness to give coding agents fast tool and skill routing and verbatim-preserving compaction.

    ProjectprototypeTypeScript