The environment that governs AI-driven development — your agent orchestrates, Karajan governs.

Your AI agent (Claude Code, Codex, Copilot, Antigravity, Cursor…) writes the code. Karajan governs how it happens: it installs a method your agent follows on every task, and enforces it with git gates that make a false green structurally impossible.

• RAG before assuming — kj rag query answers what your codebase does; no agent guesses. The install wires it as a native MCP tool (kj_rag_query) so querying the index is the agent’s cheapest path. Works out of the box: local Ollama, or the built-in ONNX embedder when nothing can be installed; cloud embedders require an explicit sensitivity declaration and PII-redact every chunk. A distilled engineering canon rides along: kj rag query --library serves pattern cards (when it applies, when it does NOT, the canonical citation) so plans name a greenfield alternative instead of following the legacy line by inertia.
• Card first, on YOUR board — every piece of work is tracked before it starts: kj’s HU Board (kj hu add|move|list), the Planning Game, or the board the project already uses (Linear, Trello, Jira, GitHub Issues)…