Agent Tooling for Jev — page 34

Verbatim Jev context compaction for Pi Coding Agent

Session-pinned model and thinking selection for Pi using TypeSafe Jev.

Pi extension that removes the inlined skill list and asks TypeSafe Jev which skill to load

Agent memory that decides what to hydrate — local topology recall + TypeSafe Jev gates (not another dump-everything store).

SEAL — No seal, no advance. Workflow kernel: product truth as a sealed graph (not an agent parade, not Jev-with-UI).

Deterministic pre-agent skill routing for Hermes agents: audit, canonical catalog, profile policy, and bounded Jev judgment.

Guardrails for AI agent actions. Deterministic policy, Jev semantic checks, and replayable decisions.

Fail-closed Jev policy gate for Hermes Agent tool calls

Open WebUI pipeline that routes prompts to a cheap or expensive LLM using TypeSafe AI classification

Experimental out-of-tree Kubernetes scheduler plugin that uses TypeSafe's Jev model to produce typed, advisory diagnoses for unschedulable Pods.

See what an AI agent actually did, not just its score. Labels every step of a CLI agent's run and compares two rounds against the noise a re-run produces anyway.

A stop-loss for coding agents. Counts loops in code, judges drift with TypeSafe's Jev, and never sends your source anywhere.

Intercepts destructive shell commands before they run. ~2ms local fast-path, context-aware risk scoring via TypeSafe Jev, deterministic offline fallback. Single Rust binary for zsh, bash and fish.

A pre-execution gate for AI agent actions, powered by TypeSafe's Jev (System One) model.

Typed state, explicit transitions, one narrow model judgment, and a human approval gate — a rebuildable agent workflow using and testing Jev.

MCP server for TypeSafe's System One API (Jev): typed choice/noul/score judgments with calibrated probabilities and confidence

Decides whether a message should reach the LLM at all, using TypeSafe Jev choice probabilities.

Bare-bones OpenRouter + TypeSafe Jev classifier: route legal prompts to Texas statute databases

TypeSafe Jev (System One decision model) as a native jev_decide tool plugin for DeepSeek Harness

Continuous, verbatim context compaction for LLM agents using TypeSafe's Jev model.

GitHub Action for agent-written PRs: one comment that says what the PR really does, which hunks need a human, why, and what to verify. About a cent per PR, on TypeSafe Jev.

Hermes Agent plugin: route each turn to the one skill that fits, via TypeSafe Jev on the Vercel AI Gateway. Fail-open, opt-in, stdlib only.

TypeSafe/Jev decision signals for Hermes: turn classification, conservative tool shaping, approvals, and coding verification.

An independent, evidence-first field guide to Jev (TypeSafe AI's System One model) — for people and for coding agents. Not affiliated with TypeSafe AI.