The decision system for agentic engineering: keeps your project's decisions, rationale, and rejected paths in plain files and surfaces them to AI coding agents before they plan or change code.
A provenance-aware decision ledger that maps meeting transcripts and PRDs to code symbols to track implementation and drift. It enables developers to maintain institutional memory by linking historical context and architectural decisions directly to the evolving codebase.
An MCP server that turns a folder of Markdown ADRs into live tools for AI agents: search, author, validate, link, and trace architectural decisions, with preview-by-default writes.
Tracks architectural decisions with testable predictions, outcome validation, and in-band feedback nudges to close decision loops for AI agents and teams.