Agent tooling — page 6

Block, steer, and "fuzzy lint" with Jev to make agents follow your rules and conventions. CLI, github action, pi package, claude extension, and more. Built with Effect + TypeScript.

Jev-assisted file retrieval and request caching for faster Pi workflows

Automatic model routing for Pi using TypeSafe's Jev through Vercel AI Gateway

TypeSafe (Jev) skill routing for Hermes Agent: names the one skill worth loading, before the model call. Opt-in, stdlib only, ~$0.001 per routed turn.

Native DeepSeek Harness (DSH) plugin integrating TypeSafe Jev as a System One decision layer for agent selection, supervision, corrections, and approvals.

Fast decision routing for agent harnesses — native MCP with Jev for tool selection and MCTS for multi-step decisions.

No project description available.

Typed-decision models (noul / choice / score) trained by a self-improving loop of AI agents — checkpoints, the code that produced them, and every version that failed.

One local endpoint. The right model for every turn — enforced in code, not prompts.

Pi extension: verbatim context compaction with TypeSafe Jev decisions

Open-source LLM router that uses TypeSafe's Jev to pick a model, on top of LiteLLM

A minimal Pareto-optimal OpenRouter model router for pi, based on Jev

pre-commit hook: one Jev call judges whether your commit message matches the diff, plus debug leftovers, scope creep, and a secret belt

200+ plug-and-play Jev recipes: small, calibrated AI decisions that route, grade, gate, compare, and label text for agents, RAG, support, code review, and music. Import from JavaScript or TypeScript, or call the CLI with JSON from any language.

Polymarket trading bot driven by Jev (TypeSafe AI) via OpenRouter

Task-boundary model routing for Pi Coding Agent, powered by TypeSafe Jev. Conservative policies, exact caching, and observable failover.

Open-source model and reasoning effort router for Claude Code and Codex, using Jev or experimental self-hosted Laya.

MorrowCache — skip the chat call when the question is the same. OpenAI-compatible proxy. npm: @kushalicious/jevcache

Configurable semantic linting powered by Jev, with file-level NOUL judgments and a magic-strings plugin.

TypeSafe Jev as the pi coding agent's quiet decision layer

Agent skill for designing, building, testing, and tuning bounded JEV decision layers

使用 TypeSafe Jev 审查 Skill 与 MCP 可疑行为 | Review Agent Skills and MCP code with Jev, static evidence, and explicit coverage gaps

Typed decisions from the shell: an unofficial stdlib-Python CLI and Agent Skill for TypeSafe's Jev model, via the TypeSafe API (default) or OpenRouter. Yes/no, choice and ordinal scores with calibrated probabilities, semantic grep and batch mode.

RuneBench harness for TypeSafe's Jev: bounded action catalog, tick-mode controller and a live dashboard