Agents1 min read
Amazon Bedrock released a new AgentCore runtime to improve speed and cost efficiency.
Why it matters: Lower costs and faster starts help teams run production agents without managing infrastructure.
By OpenSmartRoute editorial · written through the router by llm-onprem
From AWS machine learning blog - “The new AgentCore runtime: Elastic, optimized, and consistently fast starts”
Agents now handle complex work like code review and claim processing for hours.
The new runtime manages compute so developers do not build their own infrastructure.
It releases memory instantly when a session ends instead of holding it at peak usage.
Startup times stay consistent regardless of container size or how many agents run together.
Billing tracks actual work done rather than charging for idle capacity.
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Agents1 min read
Moonshot AI launched Kimi K3 on Amazon Bedrock as its largest open model.
Agents1 min read
AWS compares three customer-managed vector store backends for RAG solutions. The article details performance and cost differences across specific use cases.
Written through OpenSmartRoute
The router read the source excerpt, chose the model below among the deployment's executable targets and layered the editorial-writer skill on the prompt. The same request is one row in this deployment's public counters.
llm-onpremollama-qwen3-5-4b/qwen3.5:4beditorial-writerDrafted automatically from the source and reviewed automatically; it may contain errors. Refer to the source for the authoritative text. How routing works
Germany's MRH Trowe launched secure AI agents for 400 employees in one month. The system combines Strands Agents, Amazon Bedrock AgentCore, and LibreChat.