C++ SCHX ยท rev 4
Learning ยท v0.24.0

Continual learning

How ABRIA turns user teaching into persistent semantic structure and replayable learning signals.

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Source map

  • python/abria_server/continual_learning.py
  • python/abria_server/conversation_routing.py
SCHX / FEATURE LAYER

Experience-first learning

continual_learning.py compiles user-authored lessons into structured examples and semantic relations. It supports broad declarative facts and property-style teaching rather than only fixed prompt templates.

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Account locality

Persistent user learning is attached to the authenticated account. The ABR runtime does not automatically propagate one user's lessons into another user's cognitive fabric.

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Consolidation

The service exposes continual-learning status and an explicit consolidate endpoint so learned signals can be compacted/reinforced deliberately.

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Teaching vs asking

conversation_routing distinguishes user-learning turns such as 'I am teaching you...' from ordinary 'teach me X' questions, reducing accidental ingestion.