Building a context-aware AI assistant on AgentCore and OpenClaw
This post shows how to build a personal assistant that accumulates context using OpenClaw, an open source agentic system, running on AgentCore runtime, a capability of Amazon Bedrock AgentCore.
Key points
- Off-the-shelf AI assistants answer individual questions well, but they fall short on a different axis: continuity.
- Ask a stateless assistant about your garden today and it has no idea that you mentioned your fast-draining raised beds three weeks ago, that you only use organic fertilizer, or that your petunias were struggling through a heat wave.
- AgentCore memory, a capability of Amazon Bedrock AgentCore, turns disposable chats into durable knowledge.
- AgentCore is a platform to build, connect, and optimize agents at scale, with any framework or model.
Sources (1)
- [1]Building a context-aware AI assistant on AgentCore and OpenClawAWS Machine Learning Blog · Oct 6, 07:19 PM
This post shows how to build a personal assistant that accumulates context using OpenClaw, an open source agentic system, running on AgentCore runtime, a capability of Amazon Bedrock AgentCore.
Off-the-shelf AI assistants answer individual questions well, but they fall short on a different axis: continuity.
Extractive summary: sentences quoted from the sources.