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Source channel @githubtrending · Post #15382 · Jan 1

#jupyter_notebook#agent#agentic_ai#agents#authentication#bedrock#core#gateway#identity_management#memory_management#production_code#runtime Amazon Bedrock AgentCore lets you build, deploy, and run AI agents securely at scale with any framework like CrewAI or LangGraph and any model, without managing complex infrastructure. It offers serverless runtime for long tasks up to 8 hours, gateway to connect tools like Slack or APIs easily, memory for personalized experiences, identity management, built-in code interpreter and browser tools, plus observability. This saves time by skipping heavy setup, speeds prototypes to production, cuts costs with pay-per-use, and boosts security—helping you create powerful agents faster for real business needs. https://github.com/awslabs/amazon-bedrock-agentcore-samples

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@bookmarktutorial · Post #1670 · 01/27/2022, 12:26 AM

祝大家在即将到来的虎年里: 服务器永不宕机 Pod 永不 Pending #Etcd 永远健康 #KubeSphere Console 登录密码一直正确 应用负载一直可用 容器镜像永远不会拉不下来 #CoreDNS 一直正常解析 ks-apiserver 永不失联 存储卷挂载一直成功 监控数据永不丢失 #Prometheus 永不报警