The biggest frustration with modern AI chat apps is context decay. After five or six conversational turns, standard chat assistants begin repeating themselves, losing user intent, or dropping vital earlier constraints.
Sonre was designed specifically to tackle this challenge.
Stateful Dialogue Memory
Rather than treating each prompt as an isolated request, Sonre maintains a structured semantic representation of the dialogue:
- Entity Tracking: Key facts, names, and operational constraints mentioned in early turns remain anchored in memory.
- Intent Refinement: As the conversation evolves, Sonre updates its working hypotheses rather than resetting to a generic baseline.
- Ultra-Low Latency Inference: Powered by Groq's LPU infrastructure, responses feel instantaneous even over lengthy context windows.
Expanding to the Browser
With the launch of the Sonre Chrome Extension, this same context-aware intelligence is now available directly across any web page or development workspace.