HQ is a team AI context and workflow platform launched by Indigo AI, positioned as a "company brain," that is, the knowledge foundation on which AI runs. It centralizes a team's knowledge, projects, skills, and workflows in one place, owned by the team itself, and usable across Claude Code, Codex, Cursor, ChatGPT, and Claude.
Purpose: to solve the problem in teams where everyone uses their own AI and experience cannot be accumulated or shared. HQ aims to make AI smarter with use and turn one person's successful experience into the entire team's default practice.
Main capabilities:
- Shared context: serves as an active working directory in Claude Code, Codex, and Cursor, and connects to ChatGPT and Claude conversations via MCP, so that every member and every bot works from the same context.
- Build and share skills: turn any prompt or workflow into a /command, then push it to the entire team via /hq-sync, so anyone can run it in one step.
- Knowledge accumulation: team decisions, documents, playbooks, and more continuously accumulate with use, and new members and bots start from there.
- Bots connected to email and Slack: deploy bots based on team skills and knowledge, acting with full context rather than starting from zero.
- Deploy and share apps: build dashboards, tools, and apps on shared context, and use /deploy to generate a team-specific real-time link with one command.
- Secret protection: securely share API keys and login credentials, which bots use at runtime via hq run, avoiding printing in plaintext, pasting, or copying them around.
How to use: the material shows that HQ is an open-source product and free for up to 5 people; it is used through Claude Code, Codex, and Cursor as a working directory, and connects to ChatGPT and Claude chat via MCP. The documentation mentions commands and mechanisms such as /command, /hq-sync, /deploy, and hq run, but does not provide complete installation steps or configuration instructions.
Use cases: suitable for teams that want to unify their team's AI workflow, accumulate internal knowledge and workflows, and deploy context-aware bots in email and Slack, as well as for organizations that do not want to be locked in by a single AI vendor.
Limitations: the material does not explain more specific pricing, platform compatibility details, data storage and privacy policies, nor does it provide detailed feature limitations; pricing information beyond free for up to 5 people is not yetprovided.