Knowledge Vault
Vault is one unified memory layer across every AI agent you run — markdown-canonical, local-first, and policy-governed, so your knowledge stays consistent, private, and under your control.
Every AI tool ships with its own memory, so context ends up scattered, duplicated, and ungoverned — and sensitive knowledge leaks into third-party services you don't control. Agents drift because there's no single source of truth. Vault gives every agent one governed, private memory to read from and write to.
A single knowledge layer every agent reads from and writes to, so context is shared instead of siloed inside each tool.
Knowledge lives as plain, human-readable markdown — versionable, diffable, and portable, never locked in a proprietary store.
Your knowledge stays on infrastructure you control. Nothing is shipped to a third-party memory service unless you choose to.
Fine-grained policies decide which agents and people can read or write which knowledge — governance, not guesswork.
Vault keeps a canonical record so agents answer from the same, up-to-date knowledge instead of drifting copies.
Vault plugs into the agents and tools you already use. Swap models or frameworks without re-teaching your knowledge base.
Bring your documents, wikis, and data into Vault as canonical markdown.
Vault organizes knowledge into a governed, versioned layer with clear ownership.
Set read and write policies per agent, team, and domain.
Every agent reads and writes to one shared memory through a common interface.
Knowledge stays current and auditable as your agents and teams change.
Vault is the difference between AI that compounds what it learns and AI that keeps relearning — one governed, private memory every agent can trust.
Tell us where your knowledge lives today — we'll show you what Vault can pull together.
