Model neutral

Your company's context should not belong to one AI.

HexaHQ keeps durable organizational context outside any one AI product, then makes the relevant parts available when you work in ChatGPT, Codex, Claude Chat, Claude Code, or Claude Cowork.

Why this matters

Native memory stays inside the product that created it

Native memory is useful, but it stays inside the product that created it. If your team changes AI clients, the durable company context should not have to start over.

Everything your team teaches an AI in a chat stays where it was taught. If that state lives in one product's memory, then switching, or simply having engineering on one AI and sales on another, means teaching it all again.

HexaHQ is the layer where that state lives instead. The rules, corrections, approved facts, saved processes, and connected actions belong to your company, and the AI is the part you can change your mind about.

One job, several tools

A marketing campaign, start to finish

  1. ChatGPT works out the strategy, starting from your approved positioning and brand rules.
  2. Claude Code builds the landing page from that same approved material.
  3. HexaHQ calls the Gemini image API for the graphics, as a capability like any other API.
  4. Someone corrects a claim that was not quite right, and the correction is kept for next time.

The point is not that the work was routed between models. It is that none of those steps started from a blank page, and none of them contradicted the others, because all of them read the same company context.

Two different things are happening here, and the difference matters. ChatGPT and Claude Code are AI clients you work in, and you install HexaHQ in them. Gemini's image API is a system HexaHQ calls for you, the same as your CRM or your issue tracker. The clients you can use HexaHQ through today are ChatGPT, Codex, Claude Chat, Claude Code, and Claude Cowork.

The payoff

The work comes out consistent, because the context is shared

When two people using two different AI clients start from the same rules and the same current facts, their output agrees without anyone coordinating it. That is the practical benefit, and it holds inside one team as much as it does across a change of vendor.

Keep the memory that matters with the company

The facts, rules, corrections, preferences, and reusable ways of working that matter to your organization can live in HexaHQ. Your AI client becomes the place you reason and work, while HexaHQ keeps the organizational state that should survive across clients.

What stays with your company:

  • Approved facts and company rules
  • Corrections people have already made
  • Saved ways of completing repeatable work
  • Tool connections and the actions built on them
  • Approval policy and the record of what ran

HexaHQ carries what was saved to it. It does not copy conversations, chat history, or hidden model state between AI tools, and it does not need to.

Keep what your company knows, whatever AI you use.

Start free and put your organization's context somewhere it can outlast the choice.