Your docs, tickets and chats become typed memory. Each agent gets only the slice its permissions allow, and we record what it was served.
Why agents get it wrong
A vector store stuffs the prompt with other teams' snippets, or returns nothing, and the agent guesses from the noise.
Nobody pulls out the facts, decisions and procedures the way a person would, so agents quote pages instead of knowing things.
The failover it handled yesterday is gone when the session ends. Week two is no better than week one.
The Memoth platform
Point Memoth at your docs, tickets, chats and meeting notes. It keeps what a person would, typed and tagged, with the source's own permissions on every fragment.
| Type | Memory | Audience |
|---|---|---|
| SEMANTIC | Payments runs active-active across ap-south-1 and ap-southeast-1. | devops, sre |
| PROCEDURAL | Failover runbook: freeze deploys → drain → flip DNS → verify → unfreeze. | devops |
| EPISODIC | 14 Aug failover: DNS TTL 300s delayed cutover by 9 minutes. | devops, sre |
Memory stays in your environment. Every merge, update and drop is recorded, every read leaves a receipt, and you can replay what an agent was served on any date.
| When | Event | Fragment | Actor and receipt |
|---|---|---|---|
| 09:14:02 | served 3 of 41 candidates | topology · runbook · incident #241 | devops-agent · #4821 |
| 09:13:40 | merged write-back into procedural | retry window 30s → failover runbook | devops-agent · #4822 |
| 09:13:40 | withheld 1 fragment | FY27 pricing · audience finance | policy · #4821 |
Each agent gets a working memory sized to its persona, domain and task. When nothing fits, it gets nothing, and says so.
Products
The governed memory layer under your agents: what a person would keep, who may read it, what each agent is served.
See how it works →MemothDBThe database underneath, written in Rust. Every read leaves a sealed record of what it served.
Explore MemothDB →CodeGraphYour code as one graph across every repository. On our own repos a fully correct answer costs $2.03 against $4.54, and the mem filter keeps 35% of command output out of context.
See what it saves →Measured, not promised
These figures come from our own evaluation suites: reproducible on a frozen fixture, not third-party validated. We run the same suites on your corpus during a pilot.
Plug in
Design partners
We're building with a handful of design partners. We measure token cost, task success and served-stale rate on your corpus, in your environment, and hand you the numbers. If they don't show up, you walk with a free audit.