A Kubernetes admission webhook that asks Jev to allow, flag, or deny a manifest change for intent-shaped policies a Rego rule cannot express, keeping hard rules in Rego and failing closed by default.
macOS command palette that reads the frontmost app's menu tree through the accessibility API, asks Jev one Noul per menu item against a plain-language request, and presses the top match above a confidence threshold, falling back to a ranked list otherwise.
Python harness for GUI grounding: it divides a screenshot into grid tiles, has a vision model describe each tile neutrally, then asks typesafe-ai/jev to choose among the descriptions. Local confidence and margin gates decide whether to descend or refuse, and it emits only a point and bounding box.
Apache-2.0 ModernBERT fine-tune that answers noul, choice, score and multi-label questions with a probability for every option. It serves Jev's POST /v1/systemone locally so TypeSafe's Python SDK runs unchanged, reporting 0.026 expected calibration error on its test split.
Chrome extension that adds user-defined topic and expression labels to Weibo, Threads and X posts. It uses Jev Noul judgments against per-platform dictionaries, up to 60 labels per platform, and sends post text and label rules directly to TypeSafe under your own API key.
Cloudflare Worker that asks Jev on Workers AI for literal profanity in text or usernames and, for usernames, a second Noul for phonetic or look-alike disguises. The threshold and max policy live in Worker code, with OpenAPI docs generated via chanfana and Hono.
Real-time geopolitical intelligence dashboard that uses TypeSafe Jev questions to score news headline severity into five threat levels and categorize events across 14 conflict, cyber and infrastructure domains, alongside news aggregation and a Country Instability Index.
Open-source link attribution platform that calls typesafe-ai/jev in malicious-link-check.ts before a short link is created, so the URL is gated by a typed Jev verdict rather than a static blocklist. Next.js and TypeScript with an open-core license.
An Apache-2.0 0.8B decision model that returns calibrated probabilities for yes/no, choice and score questions on CPU. Distributed as GGUF for llama.cpp and served behind a Jev-style /v1/systemone API, so existing Jev clients mostly need only a new base URL.
A pre-release Python framework for predictions on mixed text and tabular data: Jev Noul and Score questions turn text columns into numeric features, then a tabular foundation model such as TabPFN learns from labeled rows in context. Offers hosted and fully local backends.
A semantic cache for LLM queries, fully integrated with LangChain and llama_index. Zilliz's cache integrates TypeSafe Jev Noul checks to evaluate cache hit freshness and time-dependent query validity, cutting repeated requests and API cost.
A Python library that turns Jev into a bisection oracle: it repeatedly asks higher, lower or exactly about the midpoint of a numeric range and returns the answer, turn count and full decision history. Built on the official TypeSafe Python SDK and installable from PyPI.
Agentic search evaluation inside Zilliz DeepSearcher: a standalone harness replaces the ChainOfRAG reflection call with one Jev Noul per round to decide whether to stop within a seven-round budget, then compares stopping behavior, evidence recall and decision cost on 100 sampled 2WikiMultiHopQA queries.
Open decision models from a self-improvement loop that publishes every experiment, failures included. They answer Noul, Choice and Score questions on the same POST /v1/systemone wire format as Jev, returning a calibrated probability per option in one forward pass; the 27B scores 65.64 on the Decision Index 0.3 set.
On-call tooling where Jev answers four typed questions per alert - actionable, severity, owning team and duplicate-of - and plain code routes, pages or drops. Includes a root-cause benchmark where Jev and code investigate recorded incidents with no general-purpose LLM in the loop, enforcing budgets and verification.
Notebook benchmark that compares Jev with open models and specialised tools on five document-pipeline chores: language detection (Choice(12)), page orientation (Choice(4)), RVL-CDIP classification (Choice(16)), bundle splitting and parse-tier triage, with liteparse doing all PDF rendering and OCR work.
Kotlin NES emulator whose agent plays Super Mario Bros. and Final Fantasy through typed decisions. Each turn becomes one Choice over goals that can actually run, wired through SemIf against a local Qwen3.5-4B, so a button the game does not offer is never an option; 900 logged decisions never answered off-menu.
Self-hosted Python SDK and System One-compatible API for runtime-defined Choice, Boolean and Score decisions on pinned open models, across Torch, vLLM, MLX, llama.cpp and WebGPU. Each result records probabilities, token usage, timing, model revision and prompt version, with committed row-level benchmarks.
x402 risk-check provider that scores agent counterparties before payment: OFAC, phishing and drainer feeds, transaction simulation, drainer-kit fingerprints and a Jev model reading context for injected instructions, issuing an ES256-signed attestation per verdict.
Open-source TypeScript agentic operating system: a core runtime, app for web and mobile, CLI, cloud services and first-party plugins. The directory's curated summary reports it integrates TypeSafe System One decision services for sub-100ms intent classification, action dispatching and confidence-gated tool execution.
Open System One decision models (27B, 9B and 4B on Qwen chat bases, in bf16, GGUF and MLX) that answer Choice, Noul and Score questions with a probability for every option from one forward pass. The repo carries the trainer, data builders, evaluation harnesses and a record of every run.
High-performance Go event bus with a bounded MPMC ring buffer, fan-out and ordered handlers, plus an optional routing layer that evaluates deterministic rules first, reuses cached decisions, and asks Jev a typed Choice only for ambiguous cache misses.
Unofficial portable Clojure SDK for TypeSafe System One. It posts state and typed questions to /v1/systemone, lists available models, and returns validated Clojure data with keyword or string answer keys, on a JVM backend or a native Jolt backend.
Ruby-native AI framework whose RubyLLM::Judge class asks typed judgment questions: a probability that a statement holds, choices or scores, answered by the TypeSafe provider alongside 18 other hosted and local providers under one consistent API.
Cross-platform desktop app and serving system for open Jev-like decision models. It runs laya, kev, Jev-Omni and others locally behind the Jev API at POST /v1/systemone, with a playground, versioned templates, decision history and a LoRA Train page.
A local Jev-compatible server that reads Choice, Score and Noul answers from the logits of any MLX checkpoint or OpenAI-compatible endpoint with no training, serving POST /v1/systemone as a drop-in for the official TypeSafe SDK.
An open recipe for a 27B multimodal decision model trained with full-weight SFT on 73,000 examples over one H200, serving choice, noul and score on /v1/systemone with per-checkpoint provenance and released calibration plots.
A Jev-style one-pass skill router for OmO agents: a frozen Qwen2.5-0.5B with a tiny option-attention head scores the whole skill catalog per prompt, and an extension shrinks the system prompt to the top-K skills, failing open.
Alibaba's multi-agent platform, which implements native TypeSafe Jev classification through JevClassifierModel for binary, choice and score routing across agent pipelines. Python 3.11+, Apache-2.0, with a FastAPI agent service and web UI.
A Jev harness for PostgreSQL: 41 semantic operators plus a native Rust extension evaluate row-level predicates with Noul questions and keep the returned probabilities for explicit decision thresholds, leaving joins and aggregation to SQL.
A training-free runtime that turns dense Qwen3 or Qwen3.5 checkpoints into a Jev-style Noul, Choice and Score service, sharing one state prefill across isolated questions and reading each answer from candidate-token logits.
A Next.js dashboard and daily Vercel cron that scores public job postings against one resume with Jev through the Vercel AI Gateway, then applies through a Grok Bot webhook that fills ATS forms and writes status back.
Chrome MV3 extension plus a local MCP server exposing 50 browser tools; its chrome_act_toward_goal micro-loop uses TypeSafe Jev System One or a local decider to pick the next action on an 85%+ pruned, Shadow-DOM-pierced DOM tree, dispatching trusted CDP events in logged-in Chrome without stealing focus.
CLI-installed Gmail classifier that runs 24/7 on user-owned Google Apps Script: the worker asks Jev for three typed judgments per thread (requires_action, is_important, bucket), applies labels, stars, and optional archiving, and routes ambiguous or low-confidence mail to a Review label.
Two runnable demo apps that send identical typed questions to OpenAI Decisions (gpt-6-luna) and TypeSafe Jev (jev-latest) in parallel: a support ticket router over 20 labelled tickets and a cloud alert triage over 15 labelled alerts, with thresholds in plain Python making the final calls.
Dependency-free Go 1.24+ client for Jev Noul, Choice, and Score questions: ChoiceOf[T] and ScoreOf[L] return the caller's own types and reject labels the question never offered, with validation before sending, retries that honor Retry-After, OpenRouter support, and eleven tested examples.
Pre-1.0 npm library that every Jev request in a loop goes through: it waits for room under 80% of the account's requests-per-minute and tokens-per-second limits, pauses all local callers on 429 for the server's Retry-After, and refuses requests above a per-key daily spend ceiling of USD 0.20 by default.
Go CLI for Jev with noul, choice, score, eval, rank, and models commands: rank sends one Score question per item per weighted YAML dimension in a single request and sums weight times score in code, while threshold flags turn a failed gate into exit code 10 for scripts and CI.
Go linter whose rules are plain-English questions: AST matchers select nodes and Jev answers one Noul per fragment above the rule's threshold. It runs standalone, under go vet, and as a golangci-lint plugin, with cached answers so runs only ask about changed code.
Jev-compatible decision models with vision input: LoRA fine-tunes of Qwen3.5 at 4B and 9B serving Choice, Score and Noul on the /v1/systemone wire format, with screenshots and photos placed beside text in the state. Runs on your own NVIDIA GPU; weights are non-commercial.
Ruby gem that makes System One measurement a language primitive: psi prepares a state, judge/choose/score return calibrated distributions, and ? collapses them for control flow. Ships TypeSafe, protocol (/v1/systemone) and CUA providers behind one interface with its own spec suite.
MuJoCo simulation where a local decider-2b model picks the next skill for an AgileX PiPER arm through a Jev-style typed-choice interface while the red cube target is pushed to new positions mid-run. Deterministic checks may reject a chosen skill but never substitute another.
Graph RAG framework over Milvus vector search with no graph database required: Jev Noul judgments select graph relations and rerank full source passages alongside vector-search candidates, reaching 86.07% average Recall@5 on 1,000 MuSiQue and 1,000 2Wiki queries in the two-stage evaluation.
OpenAI-compatible /v1/chat/completions proxy that answers an agent host's approval-guardian call with APPROVE, DENY or ESCALATE. Jev answers one Choice question with a calibrated distribution; missing keys, timeouts and malformed answers all fail closed to ESCALATE.
Cisco's security scanner for agent skills added a System One analyzer: it sends the full skill text to POST /v1/systemone as one advisory Noul question and records the probability, while being deliberately unable to emit a finding or change a severity.