Memoth is governed memory infrastructure for AI agents, built by a small team that has spent its career on systems where “mostly correct” was not a category. We would rather tell you what it does not do yet than have you find out in week three.
Where this comes from
A payment that is mostly right is a chargeback. A session that is mostly valid is a breach. Both disciplines answer the same way: make the system say what it knows, make it show its working, and let it refuse rather than guess. Agents got the opposite — a retrieval layer that always returns something, confidence included. Memoth is that older argument applied to memory.
What we don't do yet
Pricing is unset, so we publish no tiers rather than tiers we would quietly rewrite. What we can tell you is what gets metered when pricing exists, and that page says so instead of pretending.
You cannot sign up and be running by lunch. We take a handful of design partners and run them founder-direct, because the product is still learning the shape of the corpora it serves, and that learning does not survive a signup form.
A slower start, deliberately.
Every figure on this site comes from our own evaluation suites, reproducible on a frozen fixture and not third-party-validated. Discount them accordingly until we have run the same suites on your corpus and handed you that table.
Published anyway, with the caveat attached.
And an agent wired to Memoth will sometimes get nothing back — that is the design, not an outage. Some teams will hate it. Better to find that out on a call than in production.
Design partners
The memory layer under your agents early, tuned to your domain first. We measure token cost, task success and served-stale rate, and hand you the numbers. If they don't show up, you walk with a free audit.
Founder-direct iteration. Your corpus never leaves your environment.