strukto-ai/mirage

The World's First Virtual Terminal for AI Agents

What it solves

Mirage provides a unified interface for AI agents to interact with diverse data sources and tools. Instead of requiring agents to use multiple specialized SDKs or Model Context Protocol (MCP) implementations, it virtualizes these services into a single Unix-like terminal environment. This reduces complexity for the agent, lowers infrastructure costs, and improves security through fine-grained access control.

How it works

Mirage creates a virtualized terminal that combines several key components:

  • Virtual Filesystem (VFS): It mounts various external services (like S3, Google Drive, Slack, and Redis) as folders under a single root, allowing agents to use standard Unix tools like ls, grep, and find to access data.
  • Virtual CLIs: It provides virtualized command-line tools (e.g., git, slack) that the agent can use without needing the actual software installed on the host machine.
  • Dynamic Runtimes: It routes commands (such as Python or JavaScript) to configured runtimes—which can be in-process, sandboxed, or remote—decoupling computation from storage.
  • Mirage Shell: A virtual shell that binds the VFS, CLIs, and uma runtimes together, supporting pipes, redirection, and variables across different services.
  • Policy Engine: A scriptable system that governs what an agent can see (hide/show) and what it can do (allow/ask/deny), preventing dangerous actions or data leaks.

Who it’s for

Developers building AI agents that need to interact with a wide array of third-party APIs, cloud storage, and communication tools using a consistent, standardized interface.

Highlights

  • Unified Interface: Replaces multiple SDKs with a single filesystem-based approach.
  • Broad Integration: Supports a vast range of object storage, document services, and messaging platforms.
  • Agent-Specific Profiles: Fine-grained control over visibility and permissions for agent actions.
  • Event-Driven: Integrates notifications into the VFS, allowing agents to react to external changes (like a new Slack message) as filesystem events.
  • Token Efficiency: Uses a virtualized environment to reduce the number of tokens spent on tool-use instructions.

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