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Red Hat AI 3.5 tackles the GPU queue that can stall AI pilots25m ago CNN Just Ran One of the Worst AI Puff Pieces We’ve Ever Seen in Our Lives About That “AI Actor” Tilly Northwood38m ago How Credit Genie keeps codebase docs fresh with OpenWiki39m ago Closing The Gap Between AI Ambition And Data Reality41m ago Universal Music is launching an AI music platform with ElevenLabs47m ago Top Pentagon Official Rejects Anthropic Researcher’s AI Warning1h ago Arlequin AI raises €28M to build novel AI models that learn complex relationships at scale51m ago SpaceX sues to block release of tax-break records for its Texas Terafab project51m ago Salesforce closes Fin and eyes $2bn Listen Labs, Business Insider reports52m ago Google brings Gemini for desktop app to Windows53m ago AI’s Hidden Apprenticeship Tax (And How Firms Can Avoid It)56m ago Abacus.AI Releases Three Open-Weight Smaug Models for Agentic Workloads1h ago Clay raises $115m at a $7.1bn valuation, more than double its 2025 price1h ago Before AI Agents Take Action, Enterprises Need A New Data Rule Book1h ago

Business & Enterprise AI Research17 min reading time

Designing lifecycle policies for AgentCore memory

AWS BlogPublished 6 days ago

Amazon Bedrock's AgentCore introduces memory lifecycle policies to manage long-term agent memories, preventing outdated context from degrading performance. The approach uses AWS tools to score, consolidate, and prune memories, enhancing agent effectiveness over time.

#agentcore #amazon-bedrock #aws-cloud-development-kit #aws-step-functions #customer-support-agents #memory-management

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