This library provides a logging service with various log levels and features, built on top of the Pino logging library. It allows you to log messages with structured data, manage trace IDs, and create spans for better observability.
Utility to allow definining express middleware in the best order
Generate and install agent skills from websites.
TypeScript SDK for Tracemem
Schema validation for .twpack files - TRF (Traceability Report Framework)
A lightweight observability layer for AI systems with structured request and response logging.
Graph analytics for .twpack files - TRF (Traceability Report Framework)
AI Engineering Review Workbench — interactive HTML reports for AI agent output
GitHub reportification.
Spec Driven Development framework for AI coding agents. Structured specs, plans, and tasks with classical requirements engineering.
Research-grade CLI for studying LLM behavior as a distribution.
Portable delivery harness core for Codex, Claude Code, and OpenCode.
Session-first embedded Agent execution kernel SDK — stream LLM responses, manage hosted tools, and control agent sessions with full host ownership.
Mapping a transparency graph requires a **Mapper Registry** and a **Graph Builder**. This package provides a default registry called `CoreRegistry` that will handle mapping the base UNTP Types (think Digital Product Passport, Digital Traceability Event, a
Jinxie Custom Baileys
MCP server to track requirements coverage and its evolution across phases/releases. Pairs with Conductor for e2e tests; links scenarios to user stories via @US-xxx tags.
AI QA engineer in your terminal — designs, writes, runs, heals, and explores tests for web UI and APIs with audit-grade traceability.
CLI toolkit for initializing vault-based project workspaces with templates and selectable Codex skills.
Browser SDK for ai-spector traceability graphs — query and impact analysis
Requirement-driven test design CLI for AI-assisted QA workflows.
Turn requirements exports, work items, and test results into local traceability reports with optional read-only MCP support.
Bootstrap an AI dev workspace with SDD, TDD, and agent roles on any project