Documentation

Install, connect MCP, index projects, and run workflows — operator docs for orkai, the engineer-first process layer for AI coding tools.

orkai is the engineer-first AI layer for AI coding tools — local daemon + CLI so Claude, Cursor, Codex, OpenCode, and other MCP clients follow your engineering process. Workflows, standards, sessions, plans, and indexed code live on your machine.

This is not a hosted memory API for apps you build — it is the process layer you install so every AI tool picks up the same playbook.

How it fits together

  1. License — trial, single-device ($49.99), or three-device ($99).
  2. Daemon — orkai start keeps the daemon running locally; data lives under ~/.orkai/.
  3. MCP — connect your AI assistant with orkai mcp-config (--client vscode for VS Code Copilot).
  4. Projects — orkai init, orkai init -y, orkai init --starter-pack, or orkai init -y --starter-pack, then orkai index (optional).
  5. Review — orkai review validates code or documents against standards you define (optional).

Start here

  • Tutorial — learn the method in the 7-day trial by building a small shop (catalog + orders)
  • Quick start — trial → install → start daemon → MCP (six steps)

CLI reference

Page Commands
Configuration ~/.orkai/config.yaml, config get, config set
Daemon & MCP start, stop, serve, status, top, open, logs, mcp-config
Projects & indexing init, index, unindex --yes, knowledge sync
Search & browse search, get, list
Create and update entities create, update
Export & import export, import
License activate, deactivate, license status

Features

Run orkai help or orkai help <command> in the terminal for the full flag list on your installed version.