sample-multi-tenant-ai-agents-on-lambda-microvm

by aws-samples · indexed from github

Multi-tenant AI agents on AWS Lambda MicroVMs — one Firecracker VM per tenant with near-zero idle cost, snapshot resume, auto lifecycle, and EFS-persisted state.

A working, end-to-end system: run a self-hosted AI agent (OpenClaw) one isolated MicroVM per tenant, with per-tenant state persisted on EFS, model calls served by Amazon Bedrock, and a push-based (Telegram webhook) orchestrator that cold-starts, resumes, and reaps tenant VMs on demand. Over Telegram the agent understands images, streams its replies (the message grows live as the model generates), and switches Bedrock models with /model — the model catalog is discovered from Bedrock at cold start, so newly released models appear without a code change.

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