Experimental Subsystem
Zepra AI Engine
Bringing deep neural reasoning, intent analysis, and automated accessibility right into the browser's application layer.
Core Intelligence
Agentic Management
Controls local inference processing and routes data to RipkaAI / VedAI subsystems for advanced computational operations when required.
Attention Manager
Monitors user intent through DOM interactions, passively computing likely next steps and aggressively pre-rendering related components or fetching resources.
Auto-Fill Intelligence
Replaces simple regex-based form fillers with semantic-aware NLP reasoning to populate highly complicated, multi-step checkout processes locally.
Browser Integration
The engine is heavily hooked into the Zepra WebCore APIs, enabling it to intelligently rewrite DOM trees internally and offer UI enhancements instantly.
Key API Integrations
ai_engine.h
Main hub structure defining the interfaces that external scripts or WebCore subsystems will instantiate to perform neural computations. This abstracts whether the AI is handled natively or forwarded to a cloud endpoint.
ai_manager.h
Global singleton managing life cycles of different ML models securely in a dedicated low-priority background process. Controls resource quotas for RAM and GPU.
attention_manager.h
Subsystem that records micro-metrics of user behaviour locally, feeding anonymized heatmaps to an LSTM network to predict next navigation targets.
auto_fill_manager.h
Translates standard web form labels using localized NLP and fetches corresponding credentials/profiles accurately in any language.