Gasket gives AI agents identity, permissions, policies, approvals, and audit trails through an API, so developers can let agents take real actions without giving them unrestricted access.
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Hey Product Hunt 👋
I’m Nathan, the founder of Gasket.
AI agents are moving beyond answering questions. They’re starting to call APIs, modify data, send messages, trigger workflows, and take real actions.
But giving an agent access to a system shouldn’t mean giving it unlimited authority.
I built Gasket as a control layer between AI agents and the systems they interact with.
With Gasket, developers can give agents their own identity, define permissions and policies, require human approval for sensitive actions, manage credentials, and inspect what happened after a request.
The idea is:
agent → Gasket → policy → action → result
I’m especially interested in hearing from developers building AI agents:
How are you currently controlling what your agents are allowed to do?
Gasket is live, and I’d genuinely love feedback.
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