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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 11 of 12

  • Playwright plus Jev core behind a typed SDK, persistent CLI and MCP server, with native operations needing no key and verifiable assertions.

    MCP serverbetaTypeScript
  • Library, CLI and MCP server where an LLM states each step's outcome and Jev decides element, action, value and done/blocked/irreversible.

    MCP serverbetaTypeScript
  • Decision-to-action harness that puts Jev between an agent and your data to find the file, check the claim and permit actions.

    LibrarybetaTypeScript
  • mu★ 504

    Pi-based coding agent where a small judge (Jev by default) answers yes/no, choice and score questions at 38 decision points per turn.

    CLIprototypeTypeScript
  • neo4jev★ 173

    Demo that navigates a Neo4j graph hop by hop, asking Jev which relationship to follow and whether the goal is reached.

    LibraryprototypePython
  • LangGraph dental-clinic agent where a local Jev-style router picks which tools to bind each turn, halving LLM token use.

    LibraryprototypePython
  • Kotlin Android SDK where Jev or DeepSeek selects actions from on-screen controls and an accessibility service executes them.

    LibraryprototypeKotlin
  • Design-phase proposals for verbatim, Jev-guided context compaction in Kimi Code CLI via a forked mutating PreCompact hook.

    CLIprototypeTypeScript
  • Pi agent harness where Jev routes the model tier, picks runbook sections, gates tool calls and verifies reports on Neon Postgres.

    LibraryresearchTypeScript
  • Zero-build local playground for Jev with browser-agent, intent routing and context-pruning presets, including a Playwright agent.

    AppbetaJavaScript
  • Browser agent that acts on one look at the page with one open-model call per action; Jev is an optional chooser backend.

    AppprototypePython
  • Ten runnable JavaScript lessons where Jev judges agent situations like memory conflicts and handoffs while code enforces explicit policy.

    DemoprototypeJavaScript
  • macOS bookkeeping clerk booking supplier invoices: Jev picks each click from a closed list; a deep model rewrites the playbook.

    ServiceprototypePython
  • Agent context compactor where Jev scores transcript segments to keep verbatim or move behind a recoverable pointer.

    ServiceprototypePython
  • Terminal Q&A app where Jev sets response policy and reviews drafts while OpenAI only writes, orchestrated with LangGraph.

    AppprototypePython
  • Zero-dependency agent harness that sends each loop fork (act?, which tool, risk, done?) to a decision model and keeps the LLM for writing.

    ServiceprototypeJavaScript
  • Coding-agent skill that drives Chrome over CDP to hunt for jobs on company sites, with Jev scoring every link and job posting.

    Agent skillprototypePython
  • Standalone Android agent on Mobilerun where Jev picks every operation and target, with a live React studio, CLI and traces.

    CLIprototypeTypeScript
  • Tiny demo that asks Jev whether an agent should continue, downgrade its model, or stop, given budget and plan.

    DemoprototypeTypeScript
  • Agent skill that sends closed coding-agent judgments to Jev before asking the user, before risky commands and after failures.

    ModelbetaPython
  • Experimental Hermes Agent plugin for bounded Jev worker checkpoints, route advisories and request-goal tools.

    ModelprototypePython
  • Open 2B non-autoregressive decision model on Qwen3.5-2B for agent tool routing and DOM actions, with BF16, FP8 and INT8 weights.

    ModelresearchPython
  • Open Apache-2.0 browser-agent decision model (Qwen3.5-35B-A3B fine-tune) that doubled Jev 1.13's task success in the same agent.

    ServiceresearchPython
  • Browser driver where Jev makes every decision and agent-browser performs every action, benchmarked against Claude Code on 10 tasks.

    BenchmarkbetaTypeScript
  • Jev-powered browser MCP server that makes each step in one parallel call and escalates to the driving LLM only when unsure.

    BenchmarkbetaTypeScript
  • Python library and CLI that turns noisy sources like CI logs, diffs and web pages into small, traceable Jev briefings.

    BenchmarkbetaPython
  • Browser and macOS desktop agent for Pi where Jev picks each action from a structured text observation in a bounded loop.

    BenchmarkbetaTypeScript
  • Pi extension that dedupes repeated file reads and, opt-in, has Jev mark passing-test noise in long logs, with verbatim recall.

    BenchmarkbetaTypeScript
  • Single-file, zero-dependency port of jev-ultrafast to Ego Lite: one typed-choice Jev request per browser step, with extra guardrails.

    BenchmarkprototypeJavaScript
  • Runs jev-browser entirely on a local Jev-style engine (Qwen2.5 1.5B decisions, 0.5B typing) on an RTX 2060 SUPER, with no cloud API.

    BenchmarkprototypePython, TypeScript