Vault-AI is a lightweight, self-hosted secrets manager — kind of like HashiCorp Vault, but simplified and aimed at AI workloads. It runs in Docker, comes with a simple CLI, and manages tenants, token-based auth, secret rotation, rollback, version history, and audit logs.
Quickstart: git clone → ./start.sh → vault-ai store/get
Repo: https://gitlab.com/vaultaiproject/vault-ai.git
Would love feedback from the HN community — what features are missing, and what would make this useful in your own AI/ML pipelines?
jaredallard2•4mo ago
vaultaiproject•4mo ago
Vault-AI is aimed at that use case:
Lightweight & fast to start → git clone → ./start.sh gets you running in 2 minutes with Docker + Postgres.
AI-first focus → tenants + token-based auth designed for AI agents, LLM apps, RAG pipelines.
Simple CLI → no steep learning curve; just vault-ai store/get/rotate/audit.
Self-contained → no external cloud dependencies, runs locally or on your infra.
If you’re running a large enterprise with complex RBAC, PKI, dynamic secrets → HashiCorp Vault is the gold standard. If you’re building AI apps and just need a safe, self-hosted digital safe for API keys, tokens, and secrets, Vault-AI is a quicker fit.
vaultaiproject•4mo ago