Non-autoregressive System 1 decision engine. Typed choice, score and yes/no decisions over any text in a single forward pass, in 100+ languages, with a router that picks the right checkpoint per request.
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Laya typed decisions on Linux x86_64 via ONNX Runtime
A zero-embedding approach to video intelligence, using Jev: contact sheets + typed decisions, as MCP tools and a skill for any coding agent.
Turn any LLM into a Jev-style decision model: typed decisions, real probabilities, no training. (continue updating, welcome any issue and PR request)
JevBench by Benchmark Heaven: benchmark and leaderboard for AI decision models, measuring typed decision accuracy, calibration, latency and cost.
How Python does AI. Agents, realtime voice, image generation, embeddings. Every model, every interface, typed end to end.
Local typed decisions, contrastive data curation, and model evaluation.
Read and analyze SEC EDGAR filings in Python. 10-K, 8-K, XBRL financials, Form 3/4/5, 13F, ADV β clean API, well-typed, MIT-licensed.
Wispr Flow for your lips: hold a key, silently mouth words, and they're typed at your cursor. Runs locally on your Mac.
Local decision engine with typed, calibrated outputs (Noul/Choice/Score): cheapβstrong cascade, ECE/Brier calibration, SystemOne protocol interop. Apache-2.0.
Typed interactions with the GitHub API v3
A curated list of public projects, integrations, and discussions built on Jev β TypeSafe AI's System One model for typed decisions.
The fastest Python web framework, built on Django. Rust (Actix Web) HTTP server + async typed handlers + msgspec, with the full Django ORM, Admin, middleware and auth. 300k+ req/s, no gunicorn/uvicorn.
Local Laya typed decisions on Apple Core ML and Neural Engine. Validated ports, ~5 ms short decisions on M3 Max, reproducible speed and energy benchmarks.
A family of System One-style models fine-tuned from Qwen3.5, designed for one-pass typed decisions with calibrated probabilities.
Non-invasive decoding of typed sentences from MEG and EEG brain recordings using a convolutional encoder, transformer, and character-level language model.
A curated list of decision models (System One / typed decision models): hosted APIs, open-weight models, runtimes, SDKs, applications, benchmarks, and papers.
Open Jev-style typed-decision model that also takes images: photo + app state + typed questions in, calibrated probabilities out, locally.
JevK5: open-weight alternative to TypeSafe Jev. Typed decisions with probabilities in one forward pass; Apache-2.0 weights and code.
Curated Jev resources and runnable examples for typed AI decisions.
Fast, cheap, typed decisions for Claude Code. Jev (TypeSafe's decision model on OpenRouter) sorts, checks, scores, gates and verifies at 0.3s and a fraction of a cent per item. Claude keeps the reading, writing and judgment.
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Typed, confidence-aware agent skill routing with TypeSafe Jev.
Native MLX runtime for Laya typed decision models β 7β14 ms short decisions on M3 Max. No text generation, PyTorch, or cloud API.
Make your functions return something meaningful, typed, and safe!
Generate Pydantic v2 models, dataclasses, TypedDict, and msgspec.Struct from OpenAPI, JSON Schema, GraphQL, Avro, Protobuf, and raw JSON/YAML/CSV.
The Context Layer for unstructured data: typed, versioned datasets over S3, GCS, Azure
PEP-484 stubs for Django
Simple and powerful factories for mock data generation
A lightweight UI framework based on tkinter with all UI drawn in Canvas!π¨
The open, local take on Jev: typed decisions from an LLM, without generating a single token
Intent compiler for AI agents β converges vague requests into typed IntentSpec contracts (probe, ask, or halt before routing), the input layer for routers and typed-decision models like Jev & Laya
Semantic DataFrames for humans and agents
:gear: config and manage typed extra settings using just the django admin.
CTI Expert β Cyber Threat Intelligence & OSINT analysis skill for Claude Code / Codex. 120+ commands, 57 techniques, 79 typed MCP tools, deterministic case pipeline + ICD-203 reports. No API keys required for core.
A lightweight, optionally typed expression language with a custom grammar for matching arbitrary Python objects.
PEP-484 stubs for django-rest-framework
π₯π₯ Awesome Jev: open-source models, projects, benchmarks, and independent evaluations for Jev and System One models.
Calibrated 151M Non-Autoregressive Decision Engine beating TypeSafe Jev & Laya on LocalLLaMA/typed-decisions (77.10% acc, 0.0636 Brier, 0.0144 ECE)
Typed decisions from a frozen language model and a small physics engine: calibrated probabilities, conformal sets, 73k context, images.
Inference engine for basal: fast, calibrated typed decisions (choice / yes-no / score) for Polish and English
ππ A multimodal System One decision model that gives calibrated answers to typed questions about screens, photos, video and text in one forward pass.
A small open decision model: state + typed questions -> calibrated probabilities. A Jev / System One re-creation on Qwen3.5.
Unofficial skill that teaches coding agents to build with TypeSafe AI's Jev: typed decisions, calibrated confidence, and prior art from 150+ community projects.
AI API proxy SDK for Python: retry with idempotency keys, rate-limit backoff, task polling, cost accounting and typed errors for OpenAI-compatible AI API gateways.
Image inputs for Laya: calibrated, non-generative typed decisions over images + text (SmolVLM-256M backbone)
Typed semantic decisions for Unix pipelines and CI, powered by TypeSafe AI Jev.
Ask your house a question, get a number back. Home Assistant integration for TypeSafe Jev: typed answers as sensors, four actions for automations, and a conversation agent for Assist.
Jev-style parallel constrained decisions for any MLX model on Apple Silicon. Typed, schema-valid JSON in one forward pass.
Meet JevEmbed β turn embeddings into decisions. Choose, score, and judge with your choice of embedding model.
Local proxy that learns your app's typed LLM decisions and answers them with a Laya head. Jev and OpenAI compatible.
Open-source alternative to TypeSafe's Jev: a System One style model layer that gives typed, calibrated decisions from any open-weights LLM in one forward pass (HF + vLLM), with honest benchmarks
OpenJev: open-source, local alternative to Jev. System-One decision models: typed questions in, calibrated probabilities out; general decisions and browser-agent steps.
Typed RPC over a warm pool of PEP 734 subinterpreters β real parallelism, real error propagation, no hanging calls.
AI skill for typed, auditable workflow graphs, conditional routing, evidence-gated evolution, and validation. Includes full source, examples, and tests.
Generation-free typed decisions on Indic LLMs. An open Jev-style inference engine on sarvam-1: constrained logit readout instead of autoregressive JSON. Runs client-side in the browser.
Evidence-aware multi-engine mathematics runtime for LLMs: exact, symbolic, formal, certified-interval and numeric computation with typed MathIR, trust labels, and full provenance
mini-Jev: what a Jev-style typed-decision interface looks like on a frozen Qwen3-4B β read the option letter's logits instead of generating JSON. Preregistered experiment, results, teaching bench.
Strongly typed configurable building blocks for A/B testing ML research.