Where HexaHQ fits.
HexaHQ gives your AI the context your company runs on, then lets it act in your real systems under your rules. Here's how that compares to the other tools you might be weighing. We link to the real threads and issues behind each one.
Skills vs MCP vs HexaHQ
A Skill gives the AI instructions. An MCP server gives it access. HexaHQ gives it your company's current rules, in every AI.
HexaHQ vs Claude Team
Claude Team shares projects and instructions. HexaHQ keeps each rule current as people work, and carries it into every AI your team uses.
HexaHQ vs ChatGPT
ChatGPT shares projects and connects the apps your admins enable. HexaHQ gives every AI your team uses the company's current rules before it acts.
HexaHQ vs Manus
Manus is a capable agent of its own. HexaHQ gives the AI your team already uses your rules, shared with the teammates they apply to.
HexaHQ vs Zapier & n8n
They automate well and call almost any API. HexaHQ hands your AI your rules before it acts and runs each action as the person who asked.
Where people keep context for AI today
Most teams have already tried something: a vault, a shared drive, a repo, an enterprise index, or the memory built into their AI. Each of these pages starts with the question people actually search, gives the incumbent real credit, and then explains the point where it stops being enough.
Why can't I just let my AI read our Google Drive?
You can, and you should keep Drive. The hard part is deciding which of four versions of a rule is the one your AI should act on.
Is Glean the context layer for enterprise AI?
A fair read of what Glean does today, and the narrower thing HexaHQ is for: context a company authors and corrects on purpose.
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. What changes when a second person needs part of it.
Should I keep my AI memory in GitHub?
Git versions text well. Two files stating the same rule in different words merge clean and leave you with two rules.
Can ChatGPT and Claude share the same memory?
Not natively. Your company's AI memory should belong to your company, not to one model. What that means in practice.
AI employees, or AI extensions of your existing team?
Hiring a synthetic generalist buys the resume and skips the accumulated context that made the colleague useful.
Is Microsoft 365 Copilot enough to give our AI company knowledge?
Copilot answers from your files with each person's permissions. Microsoft itself warns that overshared content affects what it says.
Can I use Notion as my company's knowledge base for AI?
Notion is a strong team wiki. What changes when the AI has to be handed the current rule before it acts, in any AI.
Is Confluence with Rovo enough to give our AI company knowledge?
Rovo searches your wiki with each person's permissions. A wiki written for people still has to become the rule your AI applies.
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