Agent Tooling for Jev — page 17

A Rust MCP server for TypeSafe AI Jev structured decisions

Code review filter for AI Agents using TypeSafe Jev model

Practical agent skills and examples for building with Jev. API setup, routing, ranking, and evidence checks.

The doorman for Claude’s context window. JEV-powered model routing and recoverable context filtering for Claude Code.

Teach your coding agent to stop burning context. Jev (System One) via OpenRouter or TypeSafe: 325ms, 0.000013 USD per decision. A/B tested 99.3% fewer input tokens with accuracy up. Ships a reversible reduce and a ledger that learns when Jev pays off.

Verbatim context compaction for OpenClaw: a context engine powered by TypeSafe's Jev. Drops stale tool calls and results, never summarizes.

Effect-native OpenCode coordinator with Jev routing and persistent goals

Jev-governed AI agent harness: every step routed through TypeSafe Jev decisions

A Jev (TypeSafe System One) permission gate for the Pi coding agent: judges every bash / write / edit call before it runs

Native System One inference gateway for HTTP and MCP.

Skill Dash uses Jev to judge Claude Code and Codex skills and plugins: usefulness, redundancy, clarity, duplicates, safety. Local dashboard plus the corpus pipeline behind whichskills.dev. MIT.

Portable agent skill: TypeSafe Jev as a cheap code-review classifier (HTTP + optional jev-review MCP)

Diagnostic plugins for Claude Code and Codex: why a session went wrong, and whether a proposed change is too much or too little for the outcome.

Can EEG drive an AI agent? Public-data experiments: mental-command detection, Muse-like channel ablation, Jev (typesafe.ai) integration, two-layer EEG confirmation.

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

A Codex skill for task-based model selection, reasoning effort, and agent delegation—balancing quality, cost, and speed.

INSTRUCT_JEV - TypeSafe AI Jev / System One instruction corpus (choice/noul/score), compiled by DeckerGUI. 119 rows. Mirrored on HuggingFace.

A coding agent CLI where Jev (TypeSafe System One) or Laya decide what to do next and a configurable LLM does the work.

Jev-first portable Agent Skill and optional MCP bridge for Claude Code, Codex, Cursor and compatible agents.

Zero-dependency TypeScript client for TypeSafe Jev (System One decision model) — OpenRouter, TypeSafe direct, and Vercel AI Gateway providers

Context compaction and safety gating for AI agents via TypeSafe Jev: keeps messages verbatim, no summarization. OpenAI, Anthropic, LangChain, CLI, MCP.

MCP server exposing TypeSafe's Jev as a judge tool: typed judgments with calibrated probabilities, for any MCP client.

Throw in a pile of company files and get them classified and organized by department, type, sensitivity, date, counterparty and PII, with an index for AI agents. Powered by TypeSafe's Jev on OpenRouter (17¢ per 1,000 files). Zero-dependency Node CLI + Claude skill + Codex agent.