keystash 🔑

Local-first encrypted vault for API keys, tokens and passwords — one file, fuzzy search, env injection, expiry tracking, Touch ID unlock, and a leak hunter that cleans up the mess you already have.

Your LLM API keys, cloud tokens and passwords are scattered across .env files, shell histories and notes apps. keystash puts them in one encrypted file that you own: no server, no account, no subscription. Sync that file with iCloud / Dropbox / SeaDrive / Syncthing — it's ciphertext, so syncing it is safe.

pip install keystash
keystash init     # once; then `keystash unlock` for Touch ID–gated daily use

Why keystash

Touch ID unlock

Typing the master password for every command is exactly the kind of friction that pushes people back to plaintext notes. Unlock once and macOS gates it instead:

keystash unlock   # verify master password, store it behind Touch ID
keystash get openai -c   # → Touch ID prompt → copied
keystash lock     # remove the stored credential again

Every read shows the system authentication prompt (Touch ID → Apple Watch → device passcode fallback). --no-keychain or KEYSTASH_PASSWORD bypass it for scripts and CI. On machines without biometry the keychain still removes the typed password.

keystash doctor — clean up the mess you already have

Browser password managers only guard the keys you remember to move. doctor actively hunts the ones littering your machine:

keystash doctor                    # scan cwd + ~/.zshrc, ~/.zsh_history, ~/.env …
keystash doctor ~/projects         # scan any path
keystash doctor --import-all       # store every new finding in the vault
keystash doctor --import-all --shred --yes   # …and redact the plaintext in place

Knows OpenAI / Anthropic / GitHub / AWS / Google / Slack / Stripe / Hugging Face / SendGrid token shapes, PEM private keys, JWTs, plus an entropy-checked API_KEY=... sweep. Secrets already in the vault are reported as stored; --shred replaces each value with a [redacted→keystash:<name>] placeholder so file structure and comments survive.

Quick start

# 1. Create your vault (encrypted with AES-128-CBC + HMAC, PBKDF2-HMAC-SHA256 600k iters)
keystash init

# 2. Store a secret
keystash add openai --secret sk-... --tags llm,prod --expires 2027-01-31 --env-var OPENAI_API_KEY

# 3. Retrieve it
keystash get openai              # masked preview
keystash get openai -c           # → clipboard, auto-clears after 30 s
keystash get openai -q           # raw secret for scripts: export K=$(keystash get openai -q)

# 4. Find things (fuzzy)
keystash ls                      # everything, expiry warnings included
keystash ls oprod                # fuzzy: matches openai-prod
keystash ls --tag llm --json

# 5. Inject secrets into any command — nothing touches your shell or disk
keystash run -n openai -n anthropic -- python train.py
keystash run --tag llm -- python train.py
eval "$(keystash env --tag llm)" # or export them explicitly

# 6. Migrate off plaintext .env files
keystash import .env             # then delete the .env file

Commands

Multi-machine sync

The vault is a single encrypted file. Point KEYSTASH_VAULT at any synced folder:

export KEYSTASH_VAULT="~/CloudStorage/SeaDrive/vault.json"   # or iCloud, Dropbox, …

Each write re-encrypts with a fresh random salt, so last-writer-wins applies — prefer one writer per vault at a time, like any sync file.

Security model

• Cipher: Fernet (AES-128-CBC + HMAC-SHA256, encrypt-then-MAC) via cryptography.
• Key derivation: PBKDF2-HMAC-SHA256, 600 000 iterations, per-save 128-bit random salt.
• File mode: 0600; nothing is ever written to disk in plaintext.
• Clipboard: copied secrets are auto-cleared after 30 s (best effort, detached process).
• No network. No telemetry. The CLI is fully offline.
• Secrets live in process memory only while a command runs; Python cannot guarantee zeroization after exit — the same is true of any CLI in a GC'd language.

Environment variables

Development

git clone https://github.com/thu-lawyer/keystash && cd keystash
uv pip install -e ".[dev]"
pytest

License

MIT