mirage: a unified virtual file system that lets AI agents use bash commands to interact with diverse data sources

What it solves

Mirage provides a unified way for AI agents to interact with diverse data sources and services. Instead of requiring agents to learn multiple SDKs or APIs for every different service (like S3, Google Drive, or Slack), Mirage mounts these services as a single virtual file system (VFS). This allows LLMs that are already proficient in bash commands to read, search, and move data across different backends using standard POSIX-like operations without needing new vocabulary.

How it works

Mirage creates a "Workspace" that maps remote services and data sources to directory paths. It uses a dispatcher and cache system to translate bash-like commands (e.g., grep, cp, find) into API calls for the respective backends.

Key technical components include:

• Unified Interface: Over 50 built-in backends (including Redis, S3, Gmail, GitHub, and MongoDB) are presented as a filesystem.
• Caching: A two-layer cache (Index cache for metadata and File cache for object bytes) reduces network latency and API calls.
• Extensibility: Users can register new commands or override existing ones based on the resource type or file format (e.g., making cat render Parquet files as JSON).
• Embeddable SDKs: Available as Python and TypeScript libraries that can run in-process within applications.

Who it’s for

Developers building AI agents that need to access a wide variety of external data sources and others who want to provide a coding-agent-like environment where the agent can use standard shell commands to manipulate data across services.

Highlights

• Unified VFS: Mounts S3, Slack, Gmail, and more as a single filesystem.
• Bash-native: Agents can use grep, pipe, and wc across different backends out of the box.
• Broad Integration: Supports over 50 built-in backends and integrates with major agent frameworks like LangChain, Vercel AI SDK, and OpenAI Agents SDK.
• Portable Workspaces: Workspaces can be cloned, snapshotted, and versioned.
• Detailed Caching: Includes built-in index and file caching with optional Redis support for shared state.