Apple appears to be developing a Siri AI 'memory graph' that connects information about a user's relationships, places, routines, health, and workouts, according to code findings shared by researcher pdfu.

The findings describe infrastructure in version 27.3, rather than a finished memory feature available to users. One important piece is still missing: there is no process creating the individual 'memory atoms' defined by the system yet.
Those atoms represent facts, opinions, intentions, and events, with details such as time, place, people, and topic attached. They can be generalized into broader memories and classified under 21 topics, including food, travel, finance, and services. The services category can hold information about people such as a user's dentist or lawyer.
The graph has two ways of gathering insights. One, called Fastpass, works with already-structured information; an example reads name fields from the user's Me card in Contacts. The other uses an AI model running on the device or through Private Cloud Compute to query sources including Siri conversations, messages, photos, and health data.
Only one of these AI-driven routines was present in the code examined. Named MotivatorBarrierResource, it uses a prompt with 60 built-in questions about motivations, obstacles, and resources. One asks whether extended solo media use during evening downtime could leave insufficient time for sleep.
The discovery builds on an earlier finding about Siri AI's memory storage. That system combines keyword-based and meaning-based searches to retrieve records, then merges the results. Siri's chat recall in version 27.2 uses the same search pipeline to find past conversations.
In the follow-up, pdfu identified separate Mac databases for the memory graph and the search system, with no explicit-memory records in the latter yet. Both use HybridDatabase, described as Apple's fork of the Kùzu graph database.
Apple has separately opened Siri AI app integrations to all developers through the 27.3 betas. That preview lets developers expose custom content and actions to Siri, but remains limited to development builds and internal TestFlight testing, with App Store submissions planned for spring 2027.



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