Blank task
0 relevant memories · empty by design
An open-source memory layer for AI agents and engineering teams.
Save one decision. In a later task, Vault finds what matters and prepares bounded context the next task can use.
0 relevant memories · empty by design
No relevant memories yet
Start empty, stage three bounded illustrative fixtures, retrieve only what fits, and leave with a short summary the next task can actually use.
Nothing saved yet
0 bounded fixtures staged in this session
Ask what you are about to do
Your short summary will appear here
Every run starts with a clean, private demo session: START begins empty, SAVE stages three bounded labeled fixtures through Vault's trusted seed path, FIND retrieves only what fits, and USE prepares the real bounded artifact.
The conference story uses three bounded labeled fixtures through Vault's trusted seed path. FIND and USE call the real Vault MCP service; manual unapproved writes stay fail-closed.
The payoff is not “search succeeded.” It is the relevant past arriving before the next task repeats the work.
Before, this task had nothing saved. Now it starts with only the memories that fit the question.
This page uses the real Vault engine with browser-scoped illustrative inputs. The guided story writes only a bounded, labeled fixture set through Vault's explicit trusted seed path; recall and context remain real Vault operations. It does not call an AI model, use production data, or claim provider savings.
Real: Vault's bounded trusted seed, recall, context, and feedback responses from the hosted demo service.
Seeded: the example query and three memory texts supplied by this browser story.
Not demonstrated: agent action, customer outcome, provider-billed savings, or a production audit receipt.
This page demonstrates the memory loop—not a promise about customer savings.
ONLY IN A REAL DEPLOYMENT · Not generated by this demo.
In a real deployment, Perseus Ledger can record provider usage and the prompt Vault replaced. That comparison belongs to a separate evidence path with its coverage and method shown.
You are using the real Vault engine in a private demo session. Nothing here touches production data, and the demo does not call an AI model.