SDKs & framework integration — page 3

A claude code plugin for jev

Claude Code / Codex / pi plugin that hands agent steps needing no text output to Jev (TypeSafe's judgment model) — measured p50 ~230 ms and ~$0.02 per 1,000 judgments, with typed escalation back to the LLM

Systematic software development framework for AI coding agents upgraded with TypeSafe Jev System One typed decisions

Command-line tool for TypeSafe AI's Jev model. Ask yes/no, multiple-choice and rubric questions about any text and get calibrated probabilities back. Answers become exit codes for shells and CI, JSON for scripts, and MCP tools for AI agents.

Plugin for interacting with LLMs in Polars

Typed judgment tools for MCP agents. TypeSafe's Jev model as verify, screen, find, classify, rerank, decide, compare, extract, review, gate, and score: the model judges, policy decides auto, review, or escalate.

TypeSafe SDK in Swift

Multi-engine web search and evidence synthesis for AI coding agents. Unified MCP server, Pi extension, and DeepSeek Harness bundle — free search, X/Twitter, parallel research, and TUI setup.

Fully customizable Advisor and Executor flow plugin for the Pi Coding Agent

Python SDK for Modaic

MCP server for TypeSafe Jev: typed classify, score, check, match and screen for any agent, with confidence on every answer

Fast browser and macOS computer use for MCP agents. Local execution, TypeSafe Jev decisions, verified outcomes.

Jev decision layer for agents: MCP server, embeddable DecisionModel library, and an escalate-only Claude Code plugin (TypeSafe AI's Jev)

Screens an AI agent's tool calls before they run and tool results before the agent reads them. An MCP proxy plus a hooks adapter for a client's built-in tools.

Software, by reflex. Say it, and the right small program runs: chosen by a calibrated classifier, run only when it is sure enough, and it asks before anything that cannot be undone. A CLI, a package manager and a TypeScript SDK: the first implementation of the idea.

Jev-powered decision support for OmO and senpi agents

Hand a whole browser task off in one call: a decision model drives the page server-side, so a flow costs one call, not a turn per click. Ref-based element tables, code-checked assertions, zero-model macro replay, over the Chrome DevTools Protocol.

Claude Code plugin: Jev for rule checks, verbatim compaction, and prompt routing

LLM plugin for accessing Jev and other TypeSafe AI models

DeepSeek Harness (DSH) for VS Code — AI coding with native diffs, tool approvals, persistent sessions, and Trace insights. | AI 编程助手：原生 Diff、工具审批、持久会话与 Trace 分析。

🧭 Strategic BDI cognitive reasoning engine for AI agents. Goal decomposition DAGs, multi-factor utility scoring, risk evaluation, and adaptive replanning over MCP.

Unofficial Swift SDK for TypeSafe

An experimental JEV-powered framework for forecasting short-term stock price direction from structured market data.

Official Python SDK for VLM Run