Provides a persistent memory and governance layer that allows AI coding agents to query documented architecture rules and validate code against team standards. It enables agents to verify compliance across categories like security and testing before suggesting changes to ensure consistency across development sessions.
Enables engineering agents to maintain persistent knowledge across sessions by storing decisions, invariants, gotchas, and rejected ideas, with staleness detection, conflict detection, full-text search, and structured context assembly.
Enables AI agents to store and retrieve design decisions as Markdown in git repositories, and check new proposals against historical decisions via MCP.
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.