Data Portability
The ability to export and import user data across services in reusable formats
#Data Portability#data mobility#portable data#cross-platform migration#vendor lock-in
What is Data Portability?
Data Portability means users can move their data and workflow context across platforms instead of being locked into one provider.
How does it work?
Services expose export and import paths through standard formats and APIs so data can be reconstructed elsewhere.
Why does it matter?
It reduces switching costs and lock-in risk. In AI products, portability of memory, prompts, and usage history is becoming a core requirement.
Related terms
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Harness Engineering
A development method that stabilizes AI coding quality with explicit, testable acceptance conditions
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Memory Import
A feature that transfers core user context from one AI system to another to accelerate personalization
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Test-Driven Agentic Development (TDAD)
A method that defines pass/fail tests first before delegating implementation to AI agents