Keystash

io.github.thu-lawyerv0.3.3Updated Oct 7, 2026

Local encrypted vault that lets an AI agent use your secrets without exposing them to the model.

VerifiedSTDIODesktop onlyDeveloper ToolsSecurity & Monitoring

Overview

AI-generated overview

Keystash is a local encrypted vault MCP server that lets an AI agent list, inject, copy, and generate secrets without ever seeing their values.

What it does
Runs as a local MCP server over stdio on top of an encrypted vault file. Tools include list_entries and status (names, tags, expiry, env-var names only), run_command (injects secrets into a command and scrubs them from the output), copy_secret (sends a value to the clipboard), generate_and_store, add_secret, update_entry, and delete_entry. The agent never receives secret values except through the intentional add_secret path.
When to use it
Useful when you want an AI assistant to run commands or workflows that need API keys, tokens, or passwords while keeping the values out of the conversation and out of the model's context. Also relevant if you already keep secrets in .env files or shell history and want them consolidated into one encrypted file.
Requirements
Local process on macOS desktop, installed from PyPI (keystash) and run with uvx or the keystash CLI. Needs a vault file, configured via the KEYSTASH_VAULT environment variable or --vault. Unlocking uses the master password, optionally stored behind Touch ID via keystash unlock; KEYSTASH_PASSWORD can supply it for scripts and CI. No network access or account required.
Before you install
The vault holds live credentials, so the master password and KEYSTASH_PASSWORD are sensitive. add_secret is the one tool that puts a secret value into the conversation. copy_secret places a value on the clipboard, and run_command executes commands with secrets injected, so output is scrubbed but the command still runs. delete_entry requires confirm: true. The README notes that an agent deliberately writing exfiltration code cannot be stopped, only audited.

Installation

In SourceWeft

  1. Open Keystash in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.

Other MCP clients

Follow the launch instructions in the repository.

README

keystash 🔑

[CI] [PyPI] [License]

English | 中文

Give an AI agent access to your secrets — without ever showing it a secret. keystash runs as an MCP server: the agent can inject keys into commands, hand one to your clipboard, or generate a new one, and never sees a value. Touch ID fires only when a secret is actually read — never at session startup.

Local-first encrypted vault for API keys, tokens and passwords — one file you own, fuzzy search, env injection, expiry tracking, Touch ID unlock, a plaintext-leak hunter, and a zero-plaintext MCP server for AI agents.

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.

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

English | 中文

English

Why keystash

keystashpass / gopassBitwarden / 1PasswordInfisical / Vault
Setuppip install + one passwordGPG key ceremonyAccount + appSelf-host a server
Storageone encrypted file you ownmany GPG filesvendor cloudserver
Offline✅ always✅partial❌
Touch ID unlock✅ built-in❌app-only❌
Finds scattered plaintext keys on your machine✅ doctor❌❌❌
AI agents without plaintext exposure✅ mcp❌❌enterprise
Dev workflow (env injection, run)✅ built-in❌❌✅ (heavy)
Token expiry tracking✅ built-in❌❌enterprise

Quick start

bash
# 1. Create your vault (Fernet: AES-128-CBC + HMAC, PBKDF2-HMAC-SHA256 600k iters)keystash init
# 2. Store a secretkeystash add openai --secret sk-... --tags llm,prod --expires 2027-01-31 --env-var OPENAI_API_KEY
# 3. Retrieve itkeystash get openai              # masked previewkeystash get openai -c           # → clipboard, auto-clears after 30 skeystash get openai -q           # raw secret for scripts: export K=$(keystash get openai -q)
# 4. Find things (fuzzy)keystash ls                      # everything, expiry warnings includedkeystash ls oprod                # fuzzy: matches openai-prodkeystash ls --tag llm --json
# 5. Inject secrets into any command — nothing touches your shell or diskkeystash run -n openai -n anthropic -- python train.pykeystash run --tag llm -- python train.pyeval "$(keystash env --tag llm)" # or export them explicitly
# 6. Migrate off plaintext .env fileskeystash import .env             # then delete the .env file

Touch ID unlock

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

bash
keystash unlock   # verify master password, store it behind Touch IDkeystash get openai -c   # → Touch ID prompt → copiedkeystash 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:

bash
keystash doctor                    # scan cwd + ~/.zshrc, ~/.zsh_history, ~/.env …keystash doctor ~/projects         # scan any pathkeystash doctor --import-all       # store every new finding in the vaultkeystash 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.

AI agents, zero plaintext: keystash mcp

Run keystash as an MCP server so AI agents (Claude Desktop, ZCode, Cursor, …) can orchestrate secrets without ever seeing their values:

json
{  "mcpServers": {    "keystash": {      "command": "keystash",      "args": ["mcp"],      "env": { "KEYSTASH_VAULT": "/path/to/vault.json" }    }  }}

What the agent gets — and what it can never get:

ToolAgent sees
list_entries, statusnames, tags, expiry, env-var names — never values
run_commandcommand output with every injected secret scrubbed; obvious dumpers (printenv, env, /proc/*/environ) are refused
copy_secret"copied to clipboard" — the value goes to your clipboard, not the conversation
generate_and_storeconfirmation only; the generated secret never exists in the conversation
add_secret⚠️ the one intentional exception, for keys the human already pasted into the chat
update_entry, delete_entrymetadata edits; deletion requires confirm: true

Run keystash unlock once beforehand and the server picks the password up from the keychain — the Touch ID prompt appears lazily, on the first tool call that actually needs the vault (never at session startup), and at most once per session. A locked server answers every call with a helpful hint instead of prompting on stdio. Remaining risk, stated honestly: an agent deliberately writing code that exfiltrates (encode, split, transform) cannot be stopped — that is visible in its transcript and auditable by you. The server removes the accidental exposure path entirely.

Commands

CommandPurpose
initCreate the vault
add NAMEStore a secret (-s value, -g LEN to generate, -t tags, --expires YYYY-MM-DD, --env-var)
get NAMEShow (-r reveal), copy (-c), raw output (-q)
ls [QUERY]List / fuzzy search (--tag, --json)
edit NAMEUpdate any field in place
rm NAMEDelete an entry
gen [LEN]Generate a strong secret (--save NAME to store it)
env NAME… / --tagPrint export lines for shell eval
run -n NAME… -- CMDRun a command with secrets injected as env vars (--tag selects by tag)
import FILEBulk-import .env or JSON
exportExport metadata (or secrets with --with-secrets) as JSON / dotenv
unlock / lockStore / remove the master password behind Touch ID (macOS)
doctorScan for scattered plaintext secrets; --import-all, --shred
mcpMCP server for AI agents (zero-plaintext tool surface)
statusVault health + expired / expiring-soon report

Multi-machine sync

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

bash
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

VariablePurpose
KEYSTASH_VAULTVault file path (also --vault)
KEYSTASH_PASSWORDMaster password (for scripts/CI; prefer the interactive prompt)

Development

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

中文

让 AI 助手用上你的密钥,却不让它看见密钥。 keystash 可以跑成 MCP 服务器:AI 能把密钥注入命令、复制进你的剪贴板、或生成新密钥, 全程看不到任何密钥值。Touch ID 只在真正读取密钥时弹出,会话启动时绝不弹。

为什么是 keystash

LLM 的 API key、云服务 token、各类密码散落在 .env、shell 历史和备忘录里。 keystash 把它们收进一个你完全拥有的加密文件:不需要服务器、不需要注册账号、 没有订阅费。文件是密文,直接丢进 iCloud / 坚果云 / SeaDrive / Syncthing 同步即安全。

keystashpass / gopassBitwarden / 1PasswordInfisical / Vault
上手成本pip install + 一个主密码GPG 密钥仪式注册账号 + 装客户端自建服务器
存储形态一个你自己的加密文件一堆 GPG 文件厂商云服务器
离线可用✅ 始终✅部分❌
Touch ID 解锁✅ 内置❌仅客户端❌
主动清剿机器上散落的明文密钥✅ doctor❌❌❌
AI 助手零明文调用✅ mcp❌❌企业版
开发工作流(环境变量注入)✅ 内置❌❌✅(重型)
密钥过期提醒✅ 内置❌❌企业版

快速上手

bash
# 1. 创建保险库(Fernet:AES-128-CBC + HMAC,PBKDF2-HMAC-SHA256 60 万轮)keystash init
# 2. 存入密钥keystash add openai --secret sk-... --tags llm,prod --expires 2027-01-31 --env-var OPENAI_API_KEY
# 3. 取用keystash get openai              # 面板展示(打码)keystash get openai -c           # 复制到剪贴板,30 秒自动清除keystash get openai -q           # 只输出裸密钥,供脚本使用
# 4. 模糊搜索keystash ls                      # 全部条目,含过期预警(红=已过期,黄=7 天内)keystash ls oprod                # 模糊匹配 openai-prodkeystash ls --tag llm --json
# 5. 把密钥注入任意命令——不落盘、不进 shell 历史keystash run -n openai -n anthropic -- python train.pykeystash run --tag llm -- python train.pyeval "$(keystash env --tag llm)" # 或显式导出
# 6. 从明文 .env 迁移(迁完删掉原文件)keystash import .env

Touch ID 解锁

每条命令都输一遍主密码,正是把人推回明文备忘录的摩擦来源。解锁一次,之后交给 macOS:

bash
keystash unlock        # 验证一次主密码,存入钥匙串(Touch ID 门控)keystash get openai -c # → 弹指纹 → 已复制keystash lock          # 撤销钥匙串里的存储

每次读取都会弹系统认证(Touch ID → Apple Watch → 锁屏密码回退)。 --no-keychain 或 KEYSTASH_PASSWORD 供脚本/CI 绕过。没有生物识别的机器上, 钥匙串仍能省掉重复输密码。

keystash doctor —— 主动清剿你已经撒出去的明文

浏览器密码箱只能保护你"记得搬进去"的密钥;doctor 会主动搜捕散落在机器上的:

bash
keystash doctor                    # 扫当前目录 + ~/.zshrc、~/.zsh_history、~/.env …keystash doctor ~/projects         # 扫任意路径keystash doctor --import-all       # 新发现全部入库keystash doctor --import-all --shred --yes   # …并把原文件里的明文原地打码

内置 OpenAI / Anthropic / GitHub / AWS / Google / Slack / Stripe / Hugging Face / SendGrid 令牌格式、PEM 私钥、JWT 的识别规则,外加带熵值校验的 API_KEY=... 通扫。 已在库中的密钥会标记为已存储;--shred 把原值替换为 [redacted→keystash:<名字>] 占位符,文件结构和注释原样保留。

AI 助手零明文管理:keystash mcp

把 keystash 跑成 MCP 服务器,让 AI 助手 (Claude Desktop、ZCode、Cursor 等)编排密钥,但永远看不到密钥的值:

json
{  "mcpServers": {    "keystash": {      "command": "keystash",      "args": ["mcp"],      "env": { "KEYSTASH_VAULT": "/path/to/vault.json" }    }  }}
工具AI 看到什么
list_entries、status名称、标签、过期时间、环境变量名——绝无密钥值
run_command命令输出中所有注入的密钥已被脱敏;printenv、env、/proc/*/environ 等倾倒命令直接拒绝
copy_secret只回"已复制到剪贴板"——值进你的剪贴板,不进对话
generate_and_store只回确认;生成的密钥从未在对话中出现过
add_secret⚠️ 唯一例外:用于保存人类已经贴进聊天里的密钥
update_entry、delete_entry元数据编辑;删除必须显式 confirm: true

先 keystash unlock 一次,服务器会从钥匙串取密码——Touch ID 只在第一次真正 用到密钥库的工具调用时弹出(会话启动时绝不弹),每个会话最多弹一次。未解锁时 每个工具调用都会返回解锁指引而不是卡死。诚实地说明边界:AI 蓄意写变形编码的代码外传无法拦截 ——但那会完整留痕在它的执行记录里,可审计。本服务器消灭的是意外暴露路径。

命令一览

命令用途
init创建保险库
add NAME存入密钥(-s 值、-g LEN 生成、-t 标签、--expires YYYY-MM-DD、--env-var)
get NAME查看(-r 明文)、复制(-c)、裸输出(-q)
ls [QUERY]列表 / 模糊搜索(--tag、--json)
edit NAME原地修改任意字段
rm NAME删除条目
gen [LEN]生成强随机密钥(--save NAME 直接入库)
env NAME… / --tag输出 export 行供 shell eval
run -n NAME… -- CMD注入环境变量运行命令(--tag 按标签选择)
import FILE批量导入 .env 或 JSON
export导出元数据(--with-secrets 含密钥)为 JSON / dotenv
unlock / lock主密码存入 / 移出钥匙串(macOS)
doctor扫描散落明文;--import-all、--shred
mcpAI 助手 MCP 服务器(零明文工具面)
status保险库健康报告 + 过期预警

多机同步

保险库就是单个加密文件,指到任意同步盘即可:

bash
export KEYSTASH_VAULT="~/CloudStorage/SeaDrive/vault.json"   # iCloud、Dropbox 同理

每次写入都会用全新随机盐重新加密,因此并发写遵循"最后写入者获胜"—— 和所有同步文件一样,同一时刻尽量只让一台机器写。

安全模型

  • 加密:Fernet(AES-128-CBC + HMAC-SHA256,先加密后 MAC),基于 cryptography。
  • 密钥派生:PBKDF2-HMAC-SHA256,60 万轮迭代,每次保存生成 128 位随机盐。
  • 文件权限:0600;任何明文都不会落盘。
  • 剪贴板:复制的密钥 30 秒后自动清除(尽力而为,独立进程)。
  • 无网络、无遥测,CLI 完全离线。
  • 密钥仅在命令执行期间存在于进程内存;Python 无法保证进程退出后的内存清零 ——任何 GC 语言写的 CLI 都一样。

环境变量

变量用途
KEYSTASH_VAULT保险库文件路径(等价于 --vault)
KEYSTASH_PASSWORD主密码(脚本/CI 用;日常建议交互输入)

参与开发

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

License

MIT

Source: README.md at commit 316ca0f

Tools

0
Tool metadata has not been indexed yet.

Version history

1
  1. v0.3.3LatestOct 7, 2026