HexaHQ

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Guides & comparisons

How AI learns the way your company works, explained.

Plain-language answers to the questions people actually ask when they are working out how to give their team's AI the context it needs, and honest comparisons with the alternatives.

Longer thought-leadership pieces live on the blog.

Guides

GUIDE

How does AI learn how a company actually works?

Why your documents are source material, and what has to happen to them first.

 GUIDE

How can a team correct AI once instead of in every chat?

Corrections made during real work, kept with their scope and their source.

 GUIDE

Claude Skills vs MCP vs HexaHQ workflows

The governance axis every other explainer leaves out.

 GUIDE

Turn any API into a tool your AI can use, no server

Connect tools with an MCP server, and the majority without one.

 GUIDE

Your logins stay safe: keys never touch the chat

How HexaHQ holds credentials, and where governance lives.

Comparisons

COMPARE

HexaHQ vs Claude Teams: who governs what the AI does

Per-person connector control, and the seam Claude's own admins are asking Anthropic to fix.

 COMPARE

HexaHQ vs ChatGPT agents

One capped session vs. your whole team, under your rules.

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HexaHQ vs Manus: what happens after the demo ends

Scheduled for one person vs. governed and shared for the team.

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HexaHQ vs Zapier & n8n: whose connectors, whose credentials

The catalog ceiling and the self-hosting tax.

Alternatives people are already using

These start with the question you would actually type into a search box, give the incumbent real credit, and then explain the point where it stops being enough.

COMPARE

Can I use Obsidian as long-term memory for Claude or ChatGPT?

A vault is good personal AI memory. It shares as a whole, and a company does not.

 COMPARE

Why can't I just let my AI read our Google Drive?

Keep Drive. The hard part is deciding which of four versions of a rule is current.

 COMPARE

Should I keep my AI memory in GitHub?

Two files stating the same rule in different words merge clean, and leave you with two rules.

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Is Glean the context layer for enterprise AI?

A fair read of what Glean does today, and the narrower thing HexaHQ is for.

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Can ChatGPT and Claude share the same memory?

Not natively. Why the durable part should sit outside any one model.

 COMPARE

AI employees, or AI extensions of your existing team?

Hiring a synthetic generalist buys the resume and skips the context that made the colleague good.

 ALL

All comparisons

Where HexaHQ fits versus the field.

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