Agent Tooling for Jev — page 36

Reusable GitHub Action: agent fix loop gated by checks, an AI reviewer, and TypeSafe Jev

An experimental protocol for evidence-aware agent handoffs, bounded worker continuation, and TypeSafe/Jev-assisted review, with reproducible evaluation.

Routes a thread's first message to the right harness and model with TypeSafe (Jev), then asks you to confirm.

A CLI and GitHub Action that assesses code-change risk using deterministic rules and TypeSafe Jev, recommending checks and reviewers before merge.

Autonomous evolutionary trading-agent research lab for Solana. Built by Cobalt.

A flexible and configurable CLI model router using TypeSafe Jev.

Pre-LLM catalog gate: TypeSafe/Jev scores tools & skills; keep only high-probability items

TypeSafe Jev experiments via Vercel AI Gateway: pixel B&W/gray images + long-context relevance filter bench

TypeSafe Jev MCP decision layer for coding agents and CI

TypeSafe Jev demos: Play inbox, Czajka guard, agent-card router, seed comparator, RL data triage

One MCP server for TypeSafe's Jev: typed, calibrated decisions instead of generated text

Moderation for communities and apps, powered by Jev (TypeSafe): probabilities per category, thresholds you own. Discord/Telegram/Reddit bots, CLI, Python, npm, HTTP API, MCP.

An open-source decision layer connecting coding agents with TypeSafe Jev.

opencode plugin: send the model only the MCP tools each request needs, picked by TypeSafe's Jev

Jev-powered semantic process conditions and skill suggestions for Pi

Single-agent Pi coding coprocessor with Jev semantic gates, baseline-to-current diff review, and append-only observability telemetry.

Pi extension: TypeSafe Jev routes turns, pre-fetches context, trims tool results, catches loops and guards tool calls

Pi coding-agent extension built on the TypeSafe AI System One API (Jev)

Agent Skills-compatible skill: govern a Raindrop.io library's collection structure via raindrop-mcp — audit, confirmed restructuring & misplaced-bookmark relocation. Works with Claude Code, Codex CLI, Gemini CLI, GitHub Copilot, Cursor & WorkBuddy.

Rust policy engine using TypeSafe Jev and deterministic checks to route AI agent decisions.

Jev-powered execution state for Pi coding agents. Track changes, checks, and blockers outside the main LLM, with evidence-backed updates and replay. Inspired by SKILL.state.

Guardrail + model router for LLM gateways on TypeSafe's Jev (System One model), with an independent accuracy/calibration/latency evaluation. Stdlib Python.

An LLM router that uses Jev (TypeSafe System One) to dispatch each request to the cheapest model and lowest reasoning effort that will do the job. OpenAI-compatible proxy, Claude Code and Codex wrappers, TypeScript and C#.

Using Typesafe.AI to generate diff reviews.