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TypeSafe Jev System One powered Gomoku arena
Agent tooling — page 39
Frameworks, routers and utilities that use Jev to choose tools or branches inside a larger agent system.
1,206 active projects in this collection. All collections →
Jev (TypeSafe) typed prefilter skill: two-phase inbox triage with confidence gating + pre-send guard
Calibrated Jev ranking before lossless context condensation
Calibrated Jev ranking before lossless context condensation
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Minimal MCP server exposing TypeSafe/OpenRouter /api/alpha/decisions as five judgment tools
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Unofficial stdio MCP client for TypeSafe Jev. Bring your own API key.
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No project description available.
Semantic MCP middleware that intercepts AI-agent tool calls and combines deterministic policy with TypeSafe Jev risk judgments before actions reach upstream MCP servers.
No project description available.
Jev-powered Python pipeline for filtering cold outreach leads, detecting buying intent, selecting personalization angles, and exporting qualified contacts to campaign platforms.
Empirical research, agent skills, and a production-grade swarm engine coordinating local SLMs under TypeSafe AI System One (Jev) supervision.
Fork of wuyoscar/jev-skill v0.2.0 adapted to call a local keyless Laya decision API by default (no cost); OpenRouter/TypeSafe routes unchanged
Jev-powered skill router & security auditor for any AI agent (Codex, Claude Code, OpenCode, Hermes): ONE cheap decision per request tells the model WHICH skill to load; scans skill libraries for prompt injection & dangerous commands.
Use TypeSafe Jev to select subagent models and reasoning effort in Codex and Claude Code.
Jev as a channel message router | Jev频道消息路由
Always-listening voice control for macOS: on-device speech → TypeSafe Jev decisions model (via OpenRouter) picks a command → the app clicks, types and drives apps. Config-driven commands, Accessibility + OCR clicking, live probability HUD.
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CLI for typed AI judgments via TypeSafe or OpenRouter
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Python client for the Jev decision model (OpenRouter Decisions API) - calibrated noul/choice/score, zero text generation, cache hits in 3.3ms
Reviewable Chrome MV3 prompt-tier recommendations using optional TypeSafe Jev, confidence gating, and transparent local fallback.
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Run verified iOS and Android UI workflows in one agent tool call with Jev.
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Labeled replacement bench for TypeSafe Jev: classifiers, first-response routing, and agent context assembly.
MCP server for TypeSafe Jev via OpenRouter — typed decisions (noul, choice, score), not chat
Review document meaning changes with source provenance, parser plugins and optional Jev classifications.
Obsidian plugin: route incoming notes to the right folder using JEV (TypeSafe System One) typed decisions. It never writes your content — it only decides where it belongs.