Entries 145 to 192 of 250, in the hub's default order. The introduction is on page 1.
Showing 145 to 192 of 250
Dispatches natural-language requests to MCP tools using only Jev, with no general-purpose LLM in the loop. It reads a server's tool signatures at runtime and uses Jev's Choice and Noul primitives to pick the right tool and pull its arguments out of the sentence.
A single-file input moderation plugin for Mastra agents, running on Jev.
SQLite extension that calls Jev straight from SQL through jev_noul, jev_choice and jev_score, so a whole table can be classified in one query. Written in C, depends only on libcurl, and builds on Linux, macOS and Windows.
AI SDK middleware and OpenAI-compatible proxy that judges every LLM response before the user sees it, running seven Jev checks in one call of about 100 ms. Policy is YAML, a high-confidence check blocks while a low-confidence one downgrades to a flag, and the author notes there are no accuracy numbers against real Jev yet.
Unofficial Laravel 12 and 13 integration on top of the community PHP TypeSafe SDK, adding package discovery, scoped lazy dependency injection, config, a facade and a recording fake. Keeps the SDK's typed DTOs, promises and exceptions.
CLI and agent skill for TypeSafe System One exposing typed Choice, Score and Noul judgments from the terminal.
Agent skill that sends closed coding-agent judgments to Jev and acts on the probabilities. Jev answers yes/no, choice and score questions in about 250 ms, so the agent interrupts the user only when a person must decide, and stops before a command that could destroy data or leak secrets.
CLI for the Jev evaluation model: typed questions in, structured JSON answers out.
Pi extension that exposes System One judgments as five tools: a yes/no Noul, a Choice over a fixed set, a Score over ordered levels, a batched evaluate for several questions about one state, and an ask for a question pinned in a local YAML or JSON file. The tools call the API directly with fetch and carry no SDK dependency.
Stop hook that keeps a coding agent from finishing early. You write completion rules in plain language, and every time the agent is about to stop, Jev scores the stop against each rule in 0.7 seconds and sends it back to work if a rule is violated. Works with Claude Code and Codex.
Rust SDK for the TypeSafe AI API. Types the three answer kinds with accessors that fail loudly on the wrong kind, carries usage and request_id, and offers async and blocking clients.
Community Rails integration for TypeSafe's System One API, built on the community typesafe-sdk Ruby gem. Adds Rails configuration, persisted usage and cost telemetry, and an opt-in confidence policy for Choice and Score answers.
Claude Code mod that routes decisions to Jev: it ranks installed skills against each prompt and answers the agent's own this-or-that questions when confidence is high enough, otherwise falling back to asking the user.
An automatic extension for the Pi coding agent that has Jev score older tool outputs and stops resending the ones no longer needed, while keeping the original session messages intact.
An MCP server and agent skill for using Jev from a coding agent at design time: question linting, batch evaluation, threshold calibration and taxonomy exploration.
A personal skill router for Claude Code that uses Jev to decide which of your installed skills a session needs, built after the author found they only reached for five of about 90 installed skills.
Groups a raw log stream into patterns, asks Jev about each pattern once instead of every line, and routes the result to page, ticket, or log using a paging policy written in plain English. One run processed 22.8 million lines into 11,812 patterns for 64 cents.
An open source, bring-your-own-key browser extension that scores posts already on your X feed with Jev, then applies your own rules locally. Reversible, with no telemetry.
A Codex CLI plugin that uses Jev to score which of a project's skills are relevant to a prompt, passes the matches to Codex, and shows selection history on a local dashboard.
A cross-platform Agent Skill and MCP tool that gives Codex, Claude Code, OpenCode and Pi local Laya decision routing, with explicit invocation verified end to end on Apple Silicon and cross-platform CI.
Runs Jev-style typed decisions directly on images with shared visual encoding, using Qwen3-VL instead of a text description of the image.
A Chrome extension that files bookmarks into folders using semantic rules you write, matched by Jev.
Semantic code search for coding agents built on Jev, packaged as a CLI and MCP server, with results reported on SWE-bench Lite.
Runs Cucumber .feature files with no step definitions: Jev resolves what each Gherkin step means and Playwright executes it.
Measures on your own labelled data where a small model's confidence stops paying off, then routes each decision to Jev or a larger model at the threshold it found rather than a default. On 500 Banking77 examples Jev was 77.8% accurate but 90.7% confident, and threshold 0.67 reached 80.2% accuracy for $0.1033.
A TypeScript toolkit of production patterns around the Jev SDK: decision contracts, confidence-threshold routing with fallback and review paths, an offline evaluation harness, and a RAG diagnosis showcase.
A Home Assistant conversation agent where Jev classifies an utterance and either takes a fast-path light action or hands off to the Grok conversation agent, gated by confidence and yes/no thresholds.
Agent skill that hunts for fuzzy semantic judgment in a system and turns it into small Choice, Score and Noul questions, deciding where the Jev boundary belongs, what state each question sees and which ones can run together. Meant to be installed alongside TypeSafe's official skill.
Spring Boot starter for WebFlux that evaluates each response payload with Jev and turns suspected silent HTTP 200 failures into ordinary exceptions. Evaluation is one non-blocking WebClient call with a 750 ms default timeout, and any API error or timeout is treated as not a failure.
Fish-style zsh history autosuggestions ranked by an AI model instead of prefix matching, with Jev as one of four supported providers.
.NET SDK for the System One API with dependency-injection support, Microsoft.Extensions.AI integration for chat middleware and guardrails, and native AOT compatibility.
A stdio MCP server built on the laya-mlx runtime, exposing preset tools for support triage, prompt-injection guarding, moderation and email classification, plus a generic typed choice, score and noul tool.
Has Jev select a native Codex tool call before the coding model runs, so Codex executes it through its own tool runtime and approvals while the coding model handles reasoning and edits.
Evaluates writing against separate named checks, such as hedging, em dash overuse, clarity and passive voice, using Jev for each check with its own verdict and confidence signal.
An MCP toolkit for agent-driven bug bounty and pentesting work, with scope-gated scanning tools, an evidence graph and a finding lifecycle, gating each step through Jev.
Unofficial dependency-free Go client for the TypeSafe v1 API covering System One and model discovery, with automatic retries.
A Hermes plugin that pre-routes each task to a skill before the main model sees it, classifying against a roughly 300-skill index with SemIf by default or a legacy local Laya model. Measured 67 percent top-1 for SemIf against 56 percent for Laya on the same pools.
Unified Python client for typed decisions with a fallback chain across Jev, OpenRouter, Laya and cross-encoder models.
Agent memory where Jev decides what is worth recalling, with Mnemosyne-compatible storage and a Hermes integration.
Learns a repository's decision norms from its history, then uses Jev to adversarially judge past decisions against those norms, through five Unix-style primitives: seed, expand, judge, verify, report.
A PreToolUse hook for Claude Code that scores every tool call against a YAML policy you own and allows or denies it in about 100ms, with no LLM call in the loop. Runs on Jev today, with local models planned next, and publishes a calibration table.
A dockerized FastAPI service that loads Laya's English, multilingual and typed-decisions checkpoints behind a router, and serves choice, score and noul questions over HTTP with API-key or Basic auth.
A Swift package that runs one Laya typed decision per call on-device via Core ML, ported from laya-coreml, with no Python needed at runtime.
A local MCP server that runs ready-made Jev question packs (Choice, Noul, Score) as tools for Cursor and other MCP-compatible agents.
Turns a set of coding-agent skills into oxlint rules, using Jev to do the classification.
A configurable GitHub Action that reviews directory submissions and classifies pull requests using only Jev: typed yes/no checks plus one category choice, with code applying the policy and posting one PR comment.
PHP and Laravel SDK for TypeSafe AI's Jev model series, distributed on Packagist as binnash/typesafe-sdk.
Rust derive layer that turns ordinary enums and structs into Choice, Score and Noul questions and returns compile-time-checked answers. Results carry confidence, so a policy can gate on it before acting.
Nothing matches those filters
Clear a filter to widen the search, or send us the thing you were looking for.
