Agentic memory system for evolving customized program development patterns
AssigneeAmazon Technologies, Inc.
InventorsShweta Garg, Varun Kumar, Anoop Deoras, Murali Krishna Ramanathan, Manikandan Srinivasan
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AssigneeAmazon Technologies, Inc.
InventorsShweta Garg, Varun Kumar, Anoop Deoras, Murali Krishna Ramanathan, Manikandan Srinivasan
Estimating the term…
Disclosed are systems and methods for providing persistent, context-aware recommendations for IDE assistance tools. The disclosed systems and methods utilize a multi-layer memory architecture that includes a short-term memory and a long-term memory. The short-term memory stores representations of recent interactions and contextual information associated with a user for efficient retrieval, while the long-term memory stores patterns and preferences learned across multiple sessions (e.g., multiple sessions, multiple users, across an organization, etc.). The information stored in the short-term and long-term memories are managed and maintained based on various parameters, conflict resolution, implicit and explicit feedback signals, and the like. Recommendations are retrieved from the multi-layer memory using a weighted relevance function that is continuously optimized based on interactions with the user.
An agentic memory system, comprising:
A computer-implemented method, comprising:
A non-transitory computer-readable medium storing program instructions thereon that, when executed by one or more processors, cause the one or more processors to perform step, comprising:
Dependencies are inferred from the claim text.