The new AgentCore runtime: Elastic, optimized, and consistently fast starts
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What happened
Memory is released back the instant a session ends, startup times stay consistent regardless of size or concurrency, and the bill tracks the work your agent does. It reclaims memory as sessions release it and delivers consistent cold starts regardless of image size or concurrency.
AgentCore runtime, a capability of Amazon Bedrock AgentCore, is the managed compute layer that gives developers a fully managed environment to deploy and run agents without building or maintaining infrastructure. Since launch, thousands of teams have used it to run production agents.
It also delivers consistent cold start times regardless of container size or agent concurrency. Now agents are becoming ambient, always on, triggered by events, running unattended, surfacing only when a job finishes or hits a decision that needs a person.
Key facts
- Memory is โ released: back the instant a session ends, startup times stay consistent regardless of size or concurrency, and the bill tracks the work your agent does
Sources & evidence
- AWS Machine Learning Blog Primary / official
The new AgentCore runtime: Elastic, optimized, and consistently fast starts โ
https://aws.amazon.com/blogs/machine-learning/the-new-agentcore-runtime-elastic-optimized-and-consistently-fast-starts/