Enables capturing and storing AI coding decisions as markdown, and provides MCP tools for assistants to query and record those decisions so they respect past architectural choices.
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.
An MCP server that records decisions, rejected alternatives, and justifications, and retrieves them later to avoid re-litigating past choices. It stores data locally in SQLite and Markdown.
Enables AI agents to store and retrieve design decisions as Markdown in git repositories, and check new proposals against historical decisions via MCP.
Provides a decision memory layer for codebases, enabling AI agents to search, retrieve, and record business decisions with metadata filters and full-text search.