
Local Vision, Useful Results: Face Analysis Comes to Flow-Like
Flow-Like adds local SCRFD face detection, ArcFace embeddings, age and gender estimates, verified model caching, and one ONNX acceleration policy across platforms.
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Flow-Like adds local SCRFD face detection, ArcFace embeddings, age and gender estimates, verified model caching, and one ONNX acceleration policy across platforms.

Develop, test, publish, and maintain a Flow-Like package while keeping registry, device, and app versions distinct.

Flow-Like now turns JSON Schema into practical variable and pin editors, adds a native User Profile surface, and gives flows safe access to project identity.

Flow-Like Studio now shows what lives on your device, explains every storage category, and can safely retire old local run logs on your schedule.

How Flow-Like moved desktop board merging into a Web Worker, added sync lineage, and stopped background activity from waking the whole canvas.

Use Explore editions, audiences, schedules, and publishing controls to help people find relevant apps and packages.

Data Studio turns existing tables into ontologies you can explore, analyze, share across apps, automate through governed actions, and query with FlowPilot.

Suites package related Flow-Like apps into one governed, discoverable product while preserving each app's ownership, permissions, visibility, and lifecycle.

Flow-Like apps can now call one another through explicit roles, typed remote events, and traceable process cases — without dissolving their security boundaries.

Renewable credentials, asynchronous indexes, migration ordering, and retry boundaries were the real work behind Flow-Like's Aurora DSQL support.