Documentation
Operator reference for orkai — local project brain for AI assistants.
orkai is a local daemon + CLI that gives your AI assistant a project brain — indexed code, documents, datasets, standards, skills, sessions, and plans on your machine. Connect any MCP-compatible client (Cursor, Claude Desktop, Claude Code, and others); your agent reads and writes typed entities through the same knowledge graph.
This is not a hosted memory API for applications you build — it is the project brain you install for the assistants you already use every day.
How it fits together
- License — trial, single-device ($49.99), or three-device ($99).
- Daemon —
orkai startkeeps the daemon running locally; data lives under~/.orkai/. - MCP — connect your AI assistant with
orkai mcp-config. - Projects —
orkai init+orkai indexmake folders searchable (optional). - Review —
orkai reviewvalidates code or documents against standards you define (optional).
Start here
- 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, index from URL |
| Search & browse | search, get, list |
| Export & import | export, import |
| License | activate, deactivate, license status |
Features
- MCP — connect your AI — Cursor, Claude Desktop, Claude Code, Codex, OpenCode, ChatGPT
- Knowledge layer — annotations, @orkai tags, and graph-enriched code for agents
- Spreadsheets & data — index CSV and Excel files, query them with SQL
- Review — validate code, documents, or CSVs against your standards
- Sessions — your agent's memory across conversations
- Workflows — visual step-by-step practices your agent follows
- Plans, milestones & tasks — structured work tracking across sessions
Run orkai help or orkai help <command> in the terminal for
the full flag list on your installed version.