Entries 97 to 144 of 743, in the hub's default order. The introduction is on page 1.
Showing 97 to 144 of 743
A Chrome extension and small web app that find sponsor reads in a YouTube video's transcript using Jev, then skip or flag them; needs a TypeSafe key and, for some modes, a Deepgram key.
Tony Dinh (@tdinh_me)Opentrungdq88/youtube-sponsor-detection on github.com95 starsTranscript mode under 1 cent/hrListen mode ~$0.46/hr
Laya, running locally on Apple Silicon via MLX, and Jev, over TypeSafe's hosted API, play Chrome's T-Rex game side by side on a shared obstacle course, with response times, survival streaks and crash replays recorded.
A computer-use harness for macOS that reads the screen through the Accessibility API and lets Jev pick the action, with no vision model in the loop.
Small type-safe client for asking questions about your data, powered by Jev. Returns probabilities, choices and scores in a single request, and ships an agent skill that teaches coding agents how to design the questions.
A 151M-parameter non-autoregressive decision model on ModernBERT with calibrated uncertainty, inspired by Jev but trained independently, including a benchmark audit against Jev and an in-browser WebGPU playground.
Turns Jev into a chatbot by repeatedly asking it which symbol comes next from an alphabet of options, then sampling from the returned probabilities. An experiment built by describing the sampling strategies to Claude and having it implement them.
Standalone C++ inference for Laya's typed decisions using ggml, with CUDA and Vulkan backends, a Jev-compatible /v1/systemone HTTP server, and automatic request batching.
lkarlslundOpenlaya.cpp on github.com85 starsCUDA BF16 speedup 1.11-2.71x
Pre-alpha PostgreSQL extension that calls TypeSafe Jev from SQL for Choice, Noul and Score, including a batched function that classifies many distinct rows in one request.
giuliosmallOpengiuliosmall/pg_typesafe on github.com82 starsOne-by-one time 23sBatched time 0.86s
Browser automation where an LLM plans and Jev decides each tactical action, executed through Playwright without feeding page snapshots to the LLM. README reports 40/42 tasks passing and roughly 5x less token context.
Ying-Kai-LiaoOpenYing-Kai-Liao/jev-browser on github.com82 starsTask accuracy 40/42Checkout time ~14s
A Python evals and guardrails library for agent traces that uses Jev-style decision models instead of an LLM judge, running Jev through TypeSafe or Vercel, or Kev or Laya locally on a Mac. All checks for a trace go out as one request in a few hundred milliseconds.
openlayer-aiOpenjevals on github.com81 starsVariance vs LLM 92-913x
Puts a live Jev meter on any video: every sentence is scored, every dodge flagged, and the result rendered as a 16:9 edit. The repo reports 99% preset accuracy on a held-out set and about $0.05 for a full debate.
ChetasLuaOpenChetasLua/jevmeter on github.com81 starsFull debate cost $0.0497Jev calls 1,191
A Claude Code hook that splits large tool results into blocks and asks Jev a yes/no relevance question per block, replacing low-relevance blocks with a short recoverable stub before they enter context.
Chrome extension that finds ad-shaped DOM elements in plain code, then asks Jev whether each candidate is an ad and pops it off the page. Bring your own key and there is no backend, and the author calls it a fun side project rather than a real ad blocker.
Codebase search that finds files matching a natural-language request through repeated Jev-guided passes over a directory tree.
Example server from vLLM PR 57250 that seeds a DiffusionGemma canvas with the answer template and reads one distribution per question slot after a denoise step. It serves a Jev-style question schema over chat completions and is the base djev-run deploys to Cloud Run.
Adds a bounded decision loop to Codex Computer Use: Codex prepares the goal and allowed actions, Jev selects the operation and target in one request, and Computer Use performs the click.
A VS Code extension that finds past Claude Code, Codex and OpenCode conversations from a plain-language description, using a local Laya model to rerank the keyword search results.
Semantic code search for coding agents: it scans an authorized repository, asks Jev to score all eligible fragments against a plain-English question, and returns the original source excerpts with their paths and line numbers.
Jev-inspired parallel decisions for CUDA LLMs: independent typed fields are batched through vLLM over one shared context prefix, single-token labels are scored with the pretrained model's own head, and JSON is assembled in code. No retraining. Includes a browser Super Mario run at 71 ms mean inference per action.
Jev-style parallel constrained decisions for any MLX model on Apple Silicon. It takes a schema of booleans, enums and multi-selects, scores every allowed answer for every field in one forward pass, and assembles the JSON itself, so the output is valid by construction and every field carries a probability.
Unofficial Home Assistant integration that asks Jev questions about your house and turns each answer into an entity you can automate on. Questions in configuration.yaml become sensors, and four actions answer inside an automation and return a response variable.
Swift 6 bridge that maps Apple Foundation Models @Generable types onto Jev: Bool to noul, enum to choice, and @Guide range to score.
Zero-shot decision engine built on the MoritzLaurer ModernBERT-large NLI checkpoint, around 400M parameters, pulled from Hugging Face on first use. Exposes Choice, Noul and Score over natural-language criteria rather than structured question objects, and states that its confidence figure measures concentration in the returned distribution, not the chance the answer is correct.
A console whose whole design system is generated at runtime by Jev from a one-sentence brief.
A Python CLI that turns Jev calls into Unix-pipeline predicates, routing, scoring and JSONL filtering with stable exit codes, plus an agent-safety guard recipe for authorization and destructiveness checks.
Local UI and CLI for Instagram, TikTok, and LinkedIn research. At each step Jev picks the next read-only operation from a list built from earlier results, the socai CLI runs it in the user's Chrome, and the captured posts become a cited report.
Typed, calibrated decisions from any open-weights model in one forward pass on your own GPU, through Hugging Face or vLLM, with no text generated. On RACE-H with Qwen3.6-27B, writing the passage once reached 92.9% accuracy at 4.55 questions per second against 2.00 for batching.
Measures whether an untrained frozen Qwen3-4B can classify against a schema by reading next-token logits for option letters, compared against grammar-constrained JSON generation. Implements analogues of Choice and Noul only; explicitly not a reproduction.
Uses Jev to pick which of your project's rules apply to a given prompt, so Claude only sees the relevant ones.
Rust and Python dataset sifter that streams Parquet and JSONL rows past Jev typed decisions at 1,500+ records per second, writing passed and rejected rows to disk. Uses speculative fan-out and calibrated post-training rubrics.
A local recruiting workspace built on Browser Use's Jev Ultrafast: Jev chooses which LinkedIn profiles to browse, screens titles, and assesses profiles against a hiring brief, keeping the evidence.
Adds semantic tool routing, skill discovery and typed Choice, Noul and Score judgments to the Pi coding agent. Opt-in modes pick the model per prompt and use Jev to decide which tool history survives compaction.
Experimental Hono router where you describe a request in plain words and Jev decides which description fits the incoming request. The author warns it is not an authorization boundary, and the values of Authorization, Cookie and API key headers are redacted before anything is sent.
An agent plugin and MCP tool that sends a query plus a batch of file paths, URLs or text straight to Jev and returns relevance probabilities, so the calling agent only opens what is worth a closer look.
Pi extension that gives the agent and other extensions one key-managed TypeSafe client. A batched typesafe_evaluate tool hands classify, triage, compare and score judgments to Jev in a single call, and a terminal playground runs requests without touching the model's context.
Real-time Discord moderation bot that runs Jev evaluations over message text and metadata in parallel to catch phishing, spam and social engineering, with a progressive escalation ladder.
An agent-first SEO and GEO CLI and MCP server written in Rust, combining DuckDuckGo search with Jev for the judgment calls.
An independent reproduction of Jev's decision layer on Qwen checkpoints, serving the same /v1/systemone request and response schema with choice, score and noul question types, plus an MMLU-Pro benchmark.
Two-stage Jev control of a Franka Panda arm in MuJoCo: Jev picks an intent from structured simulator state, then picks X/Y/Z motion and a gripper command, with a Cartesian controller executing the action against real physics.
Local-first macOS coding workspace built in Rust with a local Laya selector and optional hosted Jev, routing fresh coding tasks and validating each chosen route on the host.
Avid (@Av1dlive)Opencodejunkie99/keel on github.com41 starsCost/time cut ~80%
ACP and MCP adapter that bridges Jev with any LLM, putting computer use and typed decisions alongside Codex, Claude, Grok and OpenCode.
A live sales-call assistant that sends the conversation to Jev after every sentence and shows the rep what to do next along with a confidence score.
A macOS menu bar app that turns one typed or dictated sentence, in English or Japanese, into an Ableton Live action, using Jev to interpret the command.
Hermes skill that lets an agent call jev-latest as a typed tiebreaker, getting Choice, Score and Noul answers with probabilities so it can act or escalate. Documents when to call Jev, confidence gates and pitfalls, and ships a live reliability suite.
Experimental inference harness for typed JSON decisions with DiffusionGemma: denoise freely, then pick the most likely allowed tokens from the final logits, with no training or fine-tuning. Reports results against Jev benchmarks, measured on an H100.
Runs Qwen 3.8 27B on Cerebras and Jev side by side across seven synthetic workloads, plus a local Needle 3 evaluation on the same contracts. Records validated outputs, mistakes, latency, token usage and estimated cost.
A Spring Boot 4 starter for calling Jev using Spring MVC and RestClient.
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