STRUKTO.AI
STRUKTO.AI provides Mirage, a virtual terminal for AI agents that mounts data sources, services, and tools as a unified virtual filesystem with a bash-compatible interface. The platform lets agents access S3, Google Drive, Slack, GitHub, Notion, and Postgres through familiar Unix primitives, with a declarative policy engine for centralized security. Mirage reports token reduction of up to 88% compared to MCP-based approaches.
- Developer Tools
- Artificial Intelligence
- AI Agents
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
AI agents are typically pinned to a single storage store and a single sandbox environment, forcing them to navigate fragmented SDKs, authentication schemes, and path conventions for every service they touch. Each sandbox requires dedicated infrastructure that must be paid for and kept alive, while security policies are scattered through prompts rather than enforced systematically.
Solution
Strukto provides Mirage, a virtual terminal for AI agents that mounts data sources, services, and tools as one unified virtual filesystem with a bash-compatible interface. Agents can access S3, Google Drive, Slack, GitHub, Notion, and Postgres through consistent primitives they already understand, while Python and JavaScript runtimes operate in the same workspace. The environment includes a declarative policy engine where every mount carries a mode and every profile specifies allowed commands, enabling centralized security and observability. Mirage runs in a browser tab or on a server, giving agents a portable, token-efficient environment without dedicated infrastructure.
Target Audience
Primary users are AI agent developers and engineering teams building autonomous systems who need a unified, secure environment for agent storage, tool access, and runtime execution across multiple cloud and local services.
Features
- Virtual filesystem that mounts S3, Google Drive, Slack, GitHub, Notion, and Postgres as unified paths with streaming reads, caching, and rollback
- Multiple sandboxed runtimes including Python (monty, pyodide), JavaScript (quickjs), and external sandbox routing (e2b) for compute-intensive workloads
- Declarative policy engine with profiles, allowlists, and pre-command gate scripts that return allow/ask/deny decisions
- Route policy system that can dynamically assign commands to different runtimes based on script content (e.g., routing NumPy scripts to e2b)
- Built on @struktoai/mirage-browser open-source package, enabling full terminal functionality directly in a browser tab
- Integration with major agent frameworks including OpenAI Agents SDK, Claude Agent SDK, LangChain, pydantic-ai, and CAMEL-AI
- Token reduction of up to 88% compared to MCP-based approaches, as reported by the company