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Secrets management for AI agents. Local-first CLI with MCP integration, enforcement-based security, and exec mode for CLI tools. Janee is a secrets management tool designed specifically for AI agents. It solves the problem of giving agents raw API keys by providing: Example policy:

llms.txt30 starsChanged 7 months ago
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# Janee

> Secrets management for AI agents. Local-first CLI with MCP integration, enforcement-based security, and exec mode for CLI tools.

## Overview

Janee is a secrets management tool designed specifically for AI agents. It solves the problem of giving agents raw API keys by providing:

- **Local-first storage**: API keys never leave your machine (stored encrypted in ~/.janee/)
- **MCP integration**: Native plugin for OpenClaw and other MCP-compatible AI platforms
- **Enforcement-based security**: Server-side path-based policies that agents cannot bypass
- **Audit logging**: Every request is logged with full context
- **Exec mode**: Agents can run whitelisted CLI commands with credentials injected via env vars
- **Agent-scoped credentials**: Per-agent identity and permission scoping

## Installation

```bash
npm install -g @true-and-useful/janee
janee init
```

## Key Features

- **HTTP proxy (execute)**: Agent calls `execute(service, method, path, body)` — Janee injects auth, enforces rules, returns response
- **CLI proxy (exec)**: Agent calls `exec(service, args)` — Janee injects credentials as env vars, runs the whitelisted command, scrubs secrets from output
- **Path-based request policies**: Define allow/deny rules for specific API endpoints
- **Command whitelisting**: Only explicitly allowed CLI commands can run; shell metacharacters blocked
- **Agent-scoped credentials**: Transport-bound identity resolution — each agent gets its own credential scope
- **Encrypted key storage**: AES-256-GCM encryption for all stored credentials
- **MCP server mode**: Expose tools (`janee_list_services`, `janee_execute`, `janee_exec`) for AI agents
- **Docker-ready**: Multi-stage Dockerfile with health checks for containerized deployment
- **janee status**: One command to check services, sessions, audit log, encryption status (JSON output available)
- **Interactive CLI**: Easy setup with `janee add` and `janee add --exec` for configuring services

## Links

- GitHub: https://github.com/rsdouglas/janee
- npm package: https://www.npmjs.com/package/@true-and-useful/janee
- OpenClaw plugin: https://www.npmjs.com/package/@openclaw/janee
- Documentation: https://github.com/rsdouglas/janee/blob/main/README.md

## How It Works

### HTTP API Proxy
1. Store API keys in Janee: `janee add`
2. Configure path-based policies (e.g., "allow GET *, deny POST *")
3. Agent requests access via MCP tools
4. Janee enforces policies server-side and proxies requests
5. All requests are logged with full audit trail

### CLI Exec Mode
1. Configure a CLI tool: `janee add --exec`
2. Define allowed commands and env var mappings
3. Agent calls `exec(service, args)` via MCP
4. Janee injects credentials as env vars, runs the command in a sandboxed subprocess
5. Output is scrubbed for any leaked secrets before returning

### Agent Scoping
1. Each agent is identified by transport-bound identity (stdio PID, HTTP session)
2. Credentials are granted per-agent: `janee grant --agent coding-agent --service github`
3. Agent only sees services explicitly granted to it
4. Revoke per-agent: `janee revoke --agent coding-agent --service github`

Example policy:
```yaml
capabilities:
  stripe_readonly:
    service: stripe
    rules:
      allow: [GET *]
      deny: [POST *, DELETE *]
```

## Architecture

- **CLI-first**: Install globally, use immediately
- **Local storage**: ~/.janee/config.yaml (encrypted keys)
- **MCP interface**: OpenClaw plugin spawns `janee serve` as subprocess
- **Transport modes**: stdio (local) or HTTP (Docker/remote)
- **Docker**: Multi-stage build, non-root user, health checks at `/health`

## Use Cases

- Giving AI assistants access to Stripe, GitHub, Gmail APIs with granular permissions
- Running autonomous agents with read-only access to production systems
- Delegating API access to agents without exposing raw credentials
- Letting agents run CLI tools (git, aws, docker) without seeing credentials
- Multi-agent setups where each agent needs different permissions

## Security Model

**The differentiator**: Enforcement-based, not trust-based. Agent provides intent, but Janee validates every request against configured policies. Agent cannot bypass rules even with plausible reasoning.

- Keys encrypted at rest (AES-256-GCM)
- Keys injected at request time, never exposed to agent context
- Shell metacharacters blocked in exec mode
- Secret scrubbing on all command output
- Per-agent credential scoping prevents lateral access

---

Built by the team behind OpenClaw. Open source, MIT licensed. Available on npm.

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