OpenMiRA understands your photos, videos, voice recordings and documents on your own device, and keeps building on them.
Your data never leaves the device.
Library, knowledge base, creation and publishing share one body of local data. Finished work returns to the library, and how it performs shapes the next piece.
Examples, generated on-device by OpenMiRA.
These four capabilities apply to individuals, families and teams alike, and they’re what sets it apart from a typical AI assistant.
Text is searchable right away; images, audio and video are understood step by step in the background. Original files stay where they are; it only builds an index.
OpenMiRA ships with its own agents and apps; the same capabilities are open to external agents and apps over MCP and HTTP API, with local or cloud models. Search, cited Q&A, long-running tasks and generation share one interface, with SSE for streaming results. Listens on localhost only by default.
The same capabilities, on different chip architectures. Underneath are open-source inference engines such as llama.cpp, ONNX Runtime and MLX.
People who join now, users and developers alike, will help decide where it goes.
Understands your photos, videos, voice recordings and documents on your own device, and keeps building on them. Your data never leaves the device.
One body of local data. Finished work returns to the library, and how it performs shapes what you make next.
Ships with its own agents and apps; open to external callers over MCP and HTTP API.