Jev Hermes

A Hermes Agent plugin that puts typed Jev judgments in front of the background skill curator: per-pair relation choices and coverage probabilities feed star-shaped merge plans, while core keeps ownership of every mutation.

Jev-powered memory layer for AI agents that runs as a Hermes memory provider: it asks Jev to judge every eligible memory against short criteria and returns the original evidence, with Mnemosyne-compatible storage and no embedding model or vector index.

Two opt-in Hermes Agent plugins that add TypeSafe Jev decision layers: a pre-tool gate for terminal, write_file, and patch calls, and a skill router that names the one skill worth loading before the model call. Stdlib only and fail-open.

A native Hermes Agent tool plugin - not a chat-model provider - where Jev supplies bounded semantic judgments and an explicit model recommendation while the main agent keeps planning, generation, execution and approvals. Backends: TypeSafe, Cloudflare and OpenRouter.

A Hermes Agent skill that turns an intention into a written finish line: machine-checkable requirements run as shell commands, fuzzy ones go to Jev for calibrated probabilities, and exit 1 names the weakest unmet requirement.

UserPromptSubmit hook for WorkBuddy (and a pre_llm_call shell hook for Hermes Agent) that has Jev judge every prompt in about a second and inject the verdict as routing hints, aiming to cut main-model tool calls and turnarounds.

Documentation hub for wiring Jev into Hermes Agent, Nous Research's autonomous agent framework: Choice, Noul and Score arrive as MCP-style tools, with context curation, turn admission and receipt-backed verification described end to end.

A Hermes Agent plugin that adds per-turn model routing — Jev picks cheap, primary or complex before each call — and a trim-then-compress context engine that forbids compressing without trimming first.

A Hermes plugin that routes every message you type to one of four model levels with Jev deciding in about 300 ms: lightweight for the trivial, maximum for what matters, and continuations stay on the model with the warm cache.