Your ADRs are lying to you. MCP server with live drift detection, content safety, and decision memory — validates architectural decisions against your actual code.
The why layer of repo-native project memory: the reasoning behind a codebase as Markdown in the repo, versioned by Git, for coding agents and humans, so nothing rejected is proposed twice. No database, no daemon, no account.
Git-native engineering knowledge platform for AI agents, connecting specifications, decisions, reviews, code, and tests with traceable context. https://deepwiki.com/theurian/theurian
Docs your AI agent can write and your CI can check. Markdown + typed YAML blocks for diagrams, API docs, ADRs, and slides, rendered by code, never drawn by the model.
DocDag reads a directory of Markdown documents with YAML frontmatter, extracts a typed directed graph from it, enforces DAG invariants on that graph, and answers queries about it.
Governance CLI for AI-native software delivery and AI coding agents. Enforces traceability: ADR → REQ → ROADMAP → kanban. Native support for Codex, Claude Code, Gemini CLI, Cursor, Copilot, Windsurf, and Amazon Q.
MGR — Método Governado por Rastreabilidade (Traceability-Governed Method): spec-driven development framework for coding agents, portable between Claude Code and GitHub Copilot
Decisions that can't silently rot — anchor a design decision to the exact code it governs, follow it through refactors and renames, and fail CI when the code changes but the rationale doesn't.