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Latchkey

Credential layer for local AI agents

2026-03-30

Product Introduction

  1. Definition: Latchkey is an open-source command-line interface (CLI) tool and credential injection utility designed specifically for AI agents and developer workflows. It acts as a specialized wrapper for the standard curl utility, enabling the automatic injection of API authentication headers and tokens into HTTP requests without requiring hardcoded secrets or complex custom connectors.

  2. Core Value Proposition: Latchkey exists to solve "connector fatigue" in the agentic AI ecosystem. Its primary value is allowing AI agents (such as Claude Code, OpenCode, or Codex) to interact with third-party services—like Slack, GitHub, and Google Workspace—using standard curl syntax. By abstracting the authentication layer, Latchkey ensures that credentials remain stored locally and encrypted, preventing sensitive API keys from appearing in LLM chat transcripts, logs, or prompt histories. This creates a secure, standardized bridge for AI-driven API integration.

Main Features

  1. Automated Credential Injection: The core technical mechanism of Latchkey is its ability to intercept shell commands. When a user or agent prepends the "latchkey" prefix to a standard curl call, the tool parses the destination URL, identifies the corresponding service in its local database, and injects the necessary Authorization headers or tokens in real-time. This eliminates the need for developers to manage environment variables or configuration files for every different API endpoint.

  2. Browser-Based Session Capture (latchkey auth browser): For services that utilize complex login flows or where users prefer not to manually generate API tokens, Latchkey includes a browser-automation feature. It leverages a headless or headed browser (Chromium/Playwright) to allow the user to log in via a standard GUI. Latchkey then extracts the resulting session credentials or API keys directly from the browser instance and stores them in its local encrypted vault for future CLI use.

  3. Runtime Service Registration and Custom Endpoints: Beyond its 25+ out-of-the-box supported services, Latchkey features a dynamic registration system. Using "latchkey services register," developers can define the base API URL and service family for self-hosted instances (like GitLab or private Jira servers) or entirely new HTTP APIs. This allows agents to maintain a consistent interface even when interacting with niche or proprietary enterprise software.

  4. Multi-Layered Security and Local Encryption: Latchkey prioritizes a local-first security model. All credentials and browser states are stored in the "~/.latchkey" directory, encrypted using system-level keyrings or user-defined encryption keys (via LATCHKEY_ENCRYPTION_KEY). Because the injection happens at the transport layer on the user's machine, the raw credentials are never transmitted to the AI model provider or stored in cloud-based agent logs.

Problems Solved

  1. API Authentication Complexity for LLMs: Standard AI agents often struggle with the variety of authentication methods (OAuth2, Bearer tokens, AWS SigV4, custom headers). Latchkey standardizes this into a single "latchkey curl" command, removing the logic burden from the agent's prompt context.

  2. Target Audience: The primary users are AI Engineers building autonomous agents, Software Developers using AI-assisted coding tools (like Claude Code), DevOps Professionals automating multi-service workflows, and Security Researchers who require a "clean" way to manage API access without leaking secrets into development logs.

  3. Use Cases: Essential for agents performing cross-platform tasks, such as an AI bot that needs to read a Google Doc, summarize it, and then post that summary to a specific Slack channel. It is also critical for developers who want to give their local agents the ability to manage GitHub repositories or Linear tickets without manually piping tokens into every session.

Unique Advantages

  1. Differentiation: Unlike Model Context Protocol (MCP) or traditional middleware, Latchkey does not introduce an intermediary proxy between the agent and the service. It preserves the direct relationship between the client and the API. Furthermore, it avoids the "walled garden" approach of custom integration platforms by relying on the universal curl standard, making it compatible with virtually any programming language or tool that can execute shell commands.

  2. Key Innovation: The specific innovation lies in the "auth set-nocurl" functionality. This allows Latchkey to handle services with non-standard authentication, such as AWS (which requires request signing) or Telegram (which requires tokens in the URL path). Latchkey dynamically modifies the request structure on the fly, providing a level of flexibility that static credential managers cannot match.

Frequently Asked Questions (FAQ)

  1. How does Latchkey keep API credentials secure? Latchkey employs local encryption for all stored data. Credentials are saved in a hidden directory on the user's machine (~/.latchkey) and are encrypted using the system's native keyring (via LATCHKEY_KEYRING_SERVICE_NAME) or a manually provided 32-byte key. This ensures that even if an agent has permission to run commands, the raw keys are never exposed in the agent's output or the terminal's history.

  2. Can Latchkey be used with services not officially supported? Yes. Users can utilize the "latchkey services register" command to add support for any HTTP API at runtime. By providing the base API URL and associating it with a service name, you can manually set headers via "latchkey auth set" and then use "latchkey curl" to interact with the new service seamlessly.

  3. Does Latchkey work with Claude Code and other AI coding agents? Latchkey is explicitly designed for integration with AI agents like Claude Code, OpenCode, and Codex. It can be installed as a "skill" or a tool within these environments, allowing the agent to perform authenticated actions on the user's behalf simply by calling the latchkey-prefixed curl command.

  4. What happens if an API token expires while an agent is running? Users can check the validity of credentials using "latchkey services info ". If a service returns a 401 or 403 error, Latchkey will report the status as "invalid." The user can then re-authenticate using "latchkey auth browser" or "latchkey auth set" to refresh the local store, allowing the agent to resume its task without code changes.

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