AWS Machine Learning Blog· Thiago Verney·· 10 d ago
Building a context-aware AI assistant on AgentCore and OpenClaw
Building a context-aware AI assistant on AgentCore and OpenClaw
AI summary
Off-the-shelf AI assistants forget you between conversations. This post shows how to build a personal assistant that accumulates context using OpenClaw on Amazon Bedrock AgentCore runtime, with AgentCore memory turning disposable chats into durable, structured knowledge you can retrieve with metadata filters.
Selection record
Threshold 60Official, first-handFirst 42Second 34
Not admittedSum of both 76 < twice the threshold 120
- Source tier
- Official, first-hand; this tier's threshold is 60
- Pre-filter
- passed：构建AI助手，含AgentCore记忆与模型路由
A model scores each item twice, independently, against one written standard, out of 100. An item is admitted only when the two scores add up to twice the threshold. The threshold is set per source tier.
Source: AWS Machine Learning Blog · aws.amazon.com