strukto-ai/mirage

The World's First Unified Virtual Filesystem For AI Agents

What it solves

AI agents often struggle to interact with multiple, fragmented data sources because every service (like S3, Slack, or Google Drive) requires its own specific SDK and complex authentication logic. Mirage eliminates this friction by providing a single, unified interface for all these services.

How it works

Mirage mounts various services and data sources—such as S3, Google Drive, Slack, Gmail, and Redis—side-by-side as a single virtual filesystem. This allows any LLM that understands standard bash commands to perform operations like grep, cp, or cat across different backends without needing to learn new APIs. It includes a two-layer caching system (index and file cache) to minimize network calls and speed up repeated operations.

Who it’s for

  • AI Agent Developers looking to simplify how their agents access and manipulate data across different platforms.
  • Coding Agents that need a standardized way to read and write files across cloud and local storage.
  • Developers building complex AI workflows using frameworks like LangChain, Pydantic AI, or the Vercel AI SDK.

Highlights

  • Unified Interface: Access ~50 built-in backends (including GitHub, Notion, and MongoDB) through standard filesystem semantics.
  • Bash-Native: Enables agents to use familiar commands like grep and find across remote services.
  • Portable Workspaces: Supports cloning, snapshotting, and versioning workspaces so agents can move between machines seamlessly.
  • Embeddable SDKs: Available for Python and TypeScript to be integrated directly into existing applications or runtimes.