Secret vault
Store, rotate, and retrieve encrypted API keys and credentials. Every value read is audited — including denied attempts.
Today that data is either locked away — so AI can’t use it and you get worse results — or pasted into chat windows and scattered across tools, fully exposed. ContextDataVault is the missing middle: a secure place to store the secrets and context your AI needs, with fine‑grained control over who and what can read them.
It runs fully standalone. Use it to secure context for any AI workflow — no particular platform required.
Secret vault
Store, rotate, and retrieve encrypted API keys and credentials. Every value read is audited — including denied attempts.
Context tokenization
Replace sensitive text with opaque tokens. Your app stores the token; the vault stores the content and resolves it only for authorized callers.
Access control
A policy + grant model with time windows, rate limits, and approval gates — scoped per principal (user, service, or agent).
Immutable audit
A tamper‑evident record of every read, write, and access decision, ready for review and compliance.
Point your application or AI agent at ContextDataVault instead of hard‑coding secrets or pasting context. Retrieve credentials at startup, tokenize sensitive content before it leaves your systems, and let policies decide what each identity can access.
Self-host it
Ship the Docker image against your own Postgres. See Getting started.
Encrypted at rest
AES‑256‑GCM with per‑vault data keys wrapped by a master key that never leaves the server process. See Security.