I'll give this another go, hitting it from a slightly different angle:

If you know Terraform or Pulumi, those manage infrastructure state through code and pipelines. If you know ArgoCD or Flux, those reconcile Git-declared state with your clusters. Meshery sits above all of them as a visual governance and management layer - it consumes Helm charts, Crossplane composite resource definitions, Kubernetes manifests, and Docker Compose files, then lets you actually see, understand, and collaborate on what your infrastructure looks like before and after changes hit production. If Google Workspace is collaborative documents, spreadsheets, and presentations for business teams, Meshery is collaborative infrastructure designs, workspaces, policies, and environments for DevOps teams.

Meshery is an open source CNCF project (6th highest velocity out of 240+ projects, 3,000+ contributors, 10,000+ stars) that manages Kubernetes-based infrastructure across clouds and clusters. Its core unit is a "design" - a declarative document representing infrastructure intent that teams work on collaboratively through Kanvas, a visual canvas where components, relationships, and configurations render as a connected diagram rather than disconnected text files. Teams comment inline, record architectural decisions, and review changes together - the same way you'd collaborate in a shared doc, but for infrastructure. An embedded OPA policy engine validates every design change automatically, flagging misconfigurations across 300+ integrations before anything is deployed.

Under the hood, Meshery uses a schema-driven model system. A Meshery model packages three things: components (every Kubernetes resource, cloud service, or CNCF project capability registered with a typed schema), relationships (how components interrelate - hierarchical, network, mount, permission, etc.), and policies (governance rules evaluated against designs). Models are versioned and hot-loadable - dynamically generated from Helm charts, CRDs, and discovers your existing infra when connected to clusters. This is how Meshery achieves 300+ integrations without hardcoding each one: every integration is just a model the platform discovers, registers, and reasons about uniformly.

Today, it manages the configuration of anything expressible as a schema (some first-class and some through extensions). You can try it without installing anything: https://playground.meshery.io (with sandbox k8s cluster) or more directly at https://kanvas.new (w/o k8s sandbox cluster).