A curated list of System One models, open implementations, agents, SDKs, and benchmarks
Jev ecosystem projects — page 87
5191 repositories with documented relationships and source evidence.
Can EEG drive an AI agent? Public-data experiments: mental-command detection, Muse-like channel ablation, Jev (typesafe.ai) integration, two-layer EEG confirmation.
Claude Code mod: Jev-scored context pruning through OpenRouter. Verbatim compaction, an optional gate on oversized tool outputs, tests and evals.
Non-Autoregressive AI Agent Decision Model. Open-source SOTA alternative to TypeSafe Jev. O(1) Tool Routing & DOM Automation on Qwen3.5-2B .
An empirical experiment fusing TypeSafe AI's non-autoregressive Jev model (System 1) with a high-performance 0x88 alpha-beta search engine (System 2). Includes live Chrome extension tracking, trust window fusion, and real-time telemetry, capable of defeating 1825 ELO bots.
GitHub Action that uses Jev (TypeSafe AI via Vercel AI Gateway) to cheaply triage pull requests before expensive LLM/human review
Typed decisions in Claude Code: adds $.jev over TypeSafe's Jev, through OpenRouter, Vercel AI Gateway, Cloudflare Workers AI, LiteLLM or the TypeSafe API.
A local proxy that sits between Claude Code and the Anthropic API and uses TypeSafe's Jev to route each subagent to the model the task actually needs. Your main conversation keeps whatever model you picked
Real-time quality gate and Art Director Warden for Claude Code powered by TypeSafe Jev 1.13 non-autoregressive decision model
Auto permission mode for Command Code: screens every tool call with TypeSafe Jev before it runs, and rejects anything out of scope.
A Codex skill for task-based model selection, reasoning effort, and agent delegation—balancing quality, cost, and speed.
Bulk decisions for AI agents. Jev classifies files and logs; your agent reviews exceptions. Reproducible cost and quality benchmarks.
DeepSeek Harness plugin: per-tool-call Auto-permission review powered by TypeSafe Jev, with account usage and API-key management inline on its settings page
Jev に判断を任せる自動生成のエレクトロの楽器
No project description available.
Near-instant generative UI for Telegram bots, powered by JEV.
very first hands on jev, foundation models by typesafe
Use Jev to quickly search your old hard drives and identify anything of value.
Haskell client for TypeSafe's System One (Jev) decision API — typed, batched Choice/Score/Noul over http-client
INSTRUCT_JEV - TypeSafe AI Jev / System One instruction corpus (choice/noul/score), compiled by DeckerGUI. 119 rows. Mirrored on HuggingFace.
JEB: a System One-compatible decision model API. State + typed questions in, calibrated probabilities out, one forward pass.
Mini benchmark of TypeSafe's jev-1.13 structured decision model (OpenRouter Decisions API) on labeled support-triage: noul/choice/score, consistency, cost, lessons learned
No project description available.
Reproducible evaluation of TypeSafe Jev on all 58,492 BBQ questions: accuracy, stereotype bias, uncertainty, cost and latency.