A garage full of tiny experiments for building critical systems with System One & Jev 🔧🧠⚡
Jev ecosystem projects — page 90
5191 repositories with documented relationships and source evidence.
Calibrated picks for Neovim, judged by TypeSafe Jev. First source: effect-error-pretty.nvim
Delegation policy for Claude Code, cut down to what its own benchmark supports: two pinned roles, and a skill that argues against delegating by default.
Quick experiment for Korean specialized Jev-style decision model
Real-time LinkedIn LARP detector — names the persona being performed as you scroll. Chrome MV3 extension powered by Jev (TypeSafe System One).
No project description available.
a repo that helps you learn jev model.
LocalJev for Nvidia DGX Spark
Open MCP server to run TypeSafe Jev (System One) packs locally — Choice / Noul / Score for Cursor & agents
AI code review against your repository's rules, powered by TypeSafe AI's Jev.
Verbatim context compaction for Oh My Pi (omp) using TypeSafe Jev decisions — port of joelhooks/pi-fast-jev-compaction
OMP / pi-coding-agent extensions that delegate acceptance gating and subagent routing to the Typesafe Jev decision API
TypeSafe Jev-powered intent gate for OpenCode: confirm intent before the agent dives into underspecified requests.
Nudge your agent, when jev deems it so!
Browser and macOS desktop agent for pi: Jev (TypeSafe System One) chooses each action from a structured observation in a bounded, surface-agnostic loop. Isolated Playwright tools, an allow-listed accessibility-tree tool, deterministic selectors, four-tier benchmarks.
System-One control plane for Pi Coding Agent powered by TypeSafe Jev.
Pi extension that removes the inlined skill list and asks TypeSafe Jev which skill to load
A Jev-powered native macOS utility for evidence-backed, human-confirmed cleanup of stale listening ports.
Analyze prompts with TypeSafe Jev before GitHub Copilot
Cost-aware PR review using TypeSafe Jev decisions before a generative reviewer.
A model-agnostic, Jev-first Responsible AI harness for assessing AI systems for prompt injection, secret/PII leakage, unsafe tool use, and policy bypass. Runs portable tests, captures evidence, scores risk with calibrated uncertainty, and routes serious or unclear findings to human review.
Fast, prefill-only decision model. Typed questions in, calibrated probabilities out, single forward pass with TypeSafe System One API. inspired from jev
Linter for source-code comments: grades accuracy and usefulness with TypeSafe Jev and deletes the useless ones
Seems: Python, plus judgment. A superset of Python where a condition can be plain English, answered by TypeSafe Jev as yes, no or unsure. Playground, examples and the language guide.