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Amazon patents coding assistant that remembers your habits

Patent drawing
Patent drawing from the official filing.

Amazon describes a system for coding tools that uses two types of memory to help developers. It keeps track of what you are doing right now in short-term memory and saves your long-term preferences in a separate section. The system learns from your actions to suggest code that fits your specific style.

Why it mattersThis could make coding software feel more personal by remembering how individual developers like to write code over time.

In the filing’s own words

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.

What exactly they claim (claim 1)

1. An agentic memory system, comprising: a first memory having a first portion and a second portion, the first portion storing a first set of short-term information and the second portion storing a second set of long-term information; a memory management system including one or more processors and a second memory storing program instructions that, when executed by the one or more processors, cause the one or more processors to at least: ingest a user interaction with an integrated development environment (IDE) and cause a representation of the user interaction to be stored in the first portion of the memory to be included in the first set of short-term information; manage at least one of the first set of short-term information or the second set of long-term information, wherein managing at least one of the first set of short-term information or the second set of long-term information includes at least one of: transferring, based at least in part on the first set of short-term information, at least a portion of the first set of short-term information from the first portion of the first memory to the second portion of the first memory to be included in the second set of long-term information; or deleting, based at least in part on the second set of long-term information, at least a portion of the second set of long-term information from the second portion of the first memory; and retrieve, in response to a triggering event, responsive information from at least one of the first portion of the first memory or the second portion of the first memory based at least in part on a relevance of the triggering event to at least one of the first set of short-term information or the second set of long-term information.

Facts

Company
Amazon (Amazon Technologies, Inc.)
Official title
AGENTIC MEMORY SYSTEM FOR EVOLVING CUSTOMIZED PROGRAM DEVELOPMENT PATTERNS
Publication number
US20260299893A1
Application number
19092382
Filed
Mar 27, 2025
Published
Oct 1, 2026
Inventors
5
Claims
20

Classified under

G06F 8/33 Physics & computingG06F 40/30 Physics & computing
Read the full filing (official PDF) ↗ Open in the Patent Tracker

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Summaries are simplified from the filing’s own abstract and first claim. A patent filing is not a product announcement.
Patent data and drawings: U.S. Patent and Trademark Office (USPTO). Nebula is not affiliated with or endorsed by the USPTO.