AWS expands AgentCore sessions and adds filesystem access
Amazon Web Services has expanded the computing resources available inside isolated AgentCore runtime sessions and added filesystem mounts for saving work. Sessions can support larger applications without moving execution into a separately managed environment. AWS retains individual session identities and access controls, while a further change binding credentials to each session’s storage folder is planned for re:Invent.
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Larger work fits inside a session
Amazon Web Services announced larger sessions and filesystem access for Amazon Bedrock AgentCore runtime on November 12.[1], [2]
The managed computing environment hosts agentic AI: systems that execute code, navigate browsers and call tools to complete tasks. Sessions now support up to 8 virtual CPUs, 32 GB of memory and container images of up to 10 GB. AWS describes uses including compiling large codebases, browser-driven work and running models locally inside the session.[1]
Agents can mount storage
Agents can mount a filesystem and save their work to storage such as an Amazon S3 bucket. FUSE support exposes that storage through a filesystem interface. AWS says computing and data access can be governed by the same set of controls. Each session continues to run in its own hardware-isolated Firecracker micro virtual machine, with a separate identity, access policy and audit trail. The service manages this environment without developers maintaining their own session clusters.[1]
Folder-bound credentials remain planned
AWS plans a further change by re:Invent: session-labeled credentials would bind each session to its own storage folder. That scoping is a forthcoming improvement. The runtime is available across AWS regions in North America, South America, Europe and Asia Pacific. Memory reclamation and scaling idle agents to zero were already present in the September release. Always-on workloads can choose committed baseline memory, billed as a minimum, with capacity to burst to four times that baseline.[1]
