Running self-hosted AI agent sandboxes with AWS Lambda MicroVMs

This article explains how to build self-hosted AI agent sandboxes using AWS Lambda MicroVMs, which provide VM-level isolation for secure tool execution without data leakage between sessions.

• Lambda MicroVMs offer Firecracker-based hardware virtualization isolation with rapid scaling and pay-per-use pricing
• Boot from pre-captured snapshots for near-instant environment readiness without application startup overhead
• Scale running MicroVMs up to 4x CPU and memory without terminating or recreating the environment
• Webhook-triggered architecture launches fresh MicroVMs per session, with idle policies automatically suspending and terminating VMs
• Credential separation ensures launcher accesses only webhook signing secret while MicroVM worker accesses only environment key
• Deduplication via event IDs prevents duplicate VM launches from webhook retries using DynamoDB persistence
• Reference solution includes SAM infrastructure-as-code, launcher verification logic, and Node.js worker implementation
• Supports both first-party Anthropic API and Claude Platform on AWS with SigV4 IAM authentication
• Defense-in-depth security includes AWS WAF rules, API Gateway validation, HMAC verification, and scoped IAM roles

Lambda MicroVMs enable organizations to run AI agents safely with per-session isolation, full credential control, and serverless cost efficiency.