mirage (strukto-ai/mirage) is an open-source AI project on GitHub. Repository summary: A Unified Virtual Filesystem For AI Agents Its focus includes MCP and tool-calling integration, retrieval-augmented generation, developer-centric engineering workflows. It is suitable for extension, integration, and iterative delivery in real workflows.
License
Apache-2.0
Stars
2,737
Homepage
https://www.strukto.ai/mirageFeatures
- Core capability: A Unified Virtual Filesystem For AI Agents
- Provides MCP or tool-calling integration
- Supports vector retrieval and retrieval-augmented reasoning
- Built for code generation, debugging, or engineering integration
- Repository: strukto-ai/mirage
- Primary language: TypeScript
Use Cases
- Connects external systems into agent workflows
- Builds enterprise knowledge Q&A and document retrieval systems
- Supports AI engineering build-and-iterate workflows for dev teams
- Build internal AI workflow prototypes with mirage
- Validate mirage in production-like engineering scenarios
- Building AI development workflows
FAQ
Teams should first define integration boundaries and call patterns, then map repository capabilities into concrete interfaces, parameters, and access rules. GitHub repository: https://github.com/strukto-ai/mirage. Community traction is around 2,587 stars. License: Apache-2.0.
It usually works as an execution component or capability layer, with common deployment fits such as: Connects external systems into agent workflows, Builds enterprise knowledge Q&A and document retrieval systems, Supports AI engineering build-and-iterate workflows for dev teams.
