Computer use for about $0.0002 a step: OCR the screen, classify the next action with TypeSafe, click. macOS.
Top TYPESAFE GitHub Repositories & Tools (2026)
Discover the most starred and trending open source tools tagged with #typesafe.
Awesome Jev: source-backed open-source ecosystem radar, plain-language project discovery, and automatic GitHub sync
The open-source System One decision model. Sub-15ms, non-autoregressive, local drop-in alternative to TypeSafe Jev.
A self-hosted API and web interface for Laya’s structured decision models, compatible with the TypeSafe Jev API format.
A verified, community-maintained catalog of 944 open-source projects built with Jev.
Typed decisions with TypeSafe's Jev, the first System One model
TypeSafe Jev for DeepSeek Harness, the Model Context Protocol, and plain Node: typed judgments instead of prose, offline by default.
Coverage, security and code quality for coding agents
A staged code-review workflow and local dashboard built with TypeSafe Jev.
grep, but the pattern is a description. Filters lines by meaning with TypeSafe's Jev decision model: ~200 ms and a thousandth of a cent per line.
Claude Code skill: hand bulk judgment calls to Jev. 86% fewer Claude tokens on a 12-task benchmark, up to 20x faster. One-line npx install.
An unofficial local visualizer for Jev (TypeSafe): a live view of every call your code makes. Not affiliated with TypeSafe AI.
A community directory of projects built on Jev, TypeSafe AI's System One model.
A modular and open-ended toolkit for WebGPU, with advanced type inference and the ability to write shaders in TypeScript
Typesafe APIs Made Simple 🪄
Guardrails for Pi that steer instead of interrupt: enforces your project rules on every write, holds only hard-to-undo actions (3 per 1,000 calls, measured on real sessions), catches unverified "done" claims and stuck loops, and trims tool output. Built on pi-typesafe.
Thinking coreutils
Semantic tool routing and typed System One decisions for the Pi coding agent using TypeSafe Jev
Put a live Jev (TypeSafe) meter on any video: every sentence scored, rendered as a 16:9 edit
Run open decision models locally: pull and serve Laya, decider, NLI and GLiClass behind a TypeSafe-compatible API. Ollama for decision models.