strukto-ai/mirage

Health v2 · maintenance only

Flags: young

Adoption not part of the score

3569 stars · 260 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Mirage is a unified virtual filesystem for AI agents that mounts services like S3, Google Drive, Slack, Gmail, Postgres, and Redis side-by-side as one filesystem. Agents use standard bash commands (cat, grep, pipes) to read, write, and pipe data across all backends, with snapshot/rollback versioning and a two-layer cache.

Use cases

• give llm agents file access to s3 and slack via bash
• mount cloud services as a virtual filesystem for ai agents
• let claude code or openai agents grep across s3 and google drive
• sandbox agent file operations with snapshots and rollback
• pipe data between postgres, redis, and slack in one shell command
• embed a virtual workspace in fastapi or express for agent runs
• cache repeated agent reads from cloud backends

When to choose

• you're building LLM agents that need uniform file-style access to multiple SaaS and cloud backends
• you want agents to reuse bash skills instead of learning per-service APIs
• you need sandboxed, versioned, portable agent workspaces

When to avoid

• you need a general-purpose production filesystem or FUSE mount for human users
• your stack is outside Python/TypeScript/Node ecosystems
• you only need a single backend integration with no agent context

Facets

library · maturity active

file-system cli agent-framework caching sdk developer-tools large-language-models developer-tools files python cross-platform cli browser virtual-filesystem vfs bash agent-sandbox fuse workspace-snapshots s3 slack google-drive redis llm-tools ai-agents automation nodejs typescript

Member repositories

For agents

markdown · JSON · MCP: product_card(name="strukto-ai/mirage")