Phantom
Safeguard API keys from AI exposure by replacing real secrets with inert tokens, swapped back at the network layer by a local proxy.
AI coding agents are prone to exposing sensitive API keys embedded in `.env` files within their context windows, leading to leaks via prompt injection, session logs, or training data. Phantom addresses this critical security vulnerability by replacing real API keys with worthless, session-scoped tokens. A local, open-source Rust proxy intercepts API calls from the AI agent, transparently swapping these tokens back to real secrets at the network layer before forwarding to the actual API, ensuring the AI never directly handles sensitive credentials.
主な機能
013 GitHub stars
02End-to-end encrypted vault for secrets, leveraging OS keychains or secure file fallbacks.
03Pre-commit hook and smart detection heuristics to prevent accidental secret exposure in code.
04Integrated Model Context Protocol (MCP) server for seamless secret management with AI coding tools like Claude Code and Cursor.
05Local reverse proxy with streaming support, replacing phantom tokens with real secrets for AI agents.
06Client-side encrypted cloud sync for vaults across machines, featuring zero-knowledge architecture.
ユースケース
01Securely integrating API keys with AI coding agents and development environments.
02Synchronizing sensitive development secrets across multiple workstations with end-to-end encryption.
03Preventing API key leakage when working with `.env` files and version control systems.