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AgentCore memory gives OpenClaw assistants durable, metadata-tagged context

aws.amazon.com by Thiago Verney 14 min read Editor score 7/10

The guide builds a personal assistant that stores durable memories and retrieves them using structured metadata. The pattern offers a practical starting point for agents that need continuity across conversations.

What
The post shows how to build a context-aware personal assistant with OpenClaw on AgentCore runtime and durable AgentCore memory.
How
Telegram webhooks and scheduled jobs invoke the same runtime agent, which coordinates OpenClaw gateway, AgentCore memory, and the Bedrock Converse API.
Why it matters
Durable, metadata-tagged memories can give assistants continuity across conversations and help retrieve records relevant to a question.
webhook invoke coordinates coordinates Amazon APIGateway webhook AWSLambda function AgentCoreruntime OpenClaw gateway AgentCore memory
Telegram requests reach the AgentCore agent, which coordinates OpenClaw and durable memory. Sketched from the article's own text.

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