Products / For AI builders
ImageSphere
AvailableAn OCI registry with real identity, runtime-mutable policy, and an air-gap story.
A curated fork of CNCF Zot: single binary, modern admin UI, OIDC SSO with passkeys, namespace members managed by role, CVE scanning with a policy you set per namespace, quotas, robot accounts for CI — deployable on Kubernetes, air-gapped, or bare metal.
- Protocol
- OCI Distribution Spec
- Storage
- Local · S3 · GCS
- Access
- Viewer · publisher · maintainer
- Modes
- Kubernetes · air-gap · bare-metal
Overview
ImageSphere
ImageSphere is an OCI-native registry that treats access control, identity, and day-2 operations as product features, not afterthoughts. It hosts container images, Helm charts, ML models, and any OCI artifact — with a web UI, group-based admin driven by your IdP, access policies that change at runtime and survive restarts, per-namespace storage quotas with live usage, namespace-scoped robot accounts for CI/CD, immutable tags, and Cosign/Notation verification. Membership is stated in roles people can reason about — viewer, publisher, maintainer — and an explain view answers 'what can this identity actually do here, and why', for a signed-in user, a robot, or an anonymous client. Vulnerability scanning runs on a registry-wide default policy that an admin can exempt per namespace, and the UI is honest about what it knows: it says when scanning is unconfigured rather than showing a reassuring empty list. Helm charts are first-class — detected and rendered with their values.yaml and README, filterable in a charts-only view. One binary, three deployment modes: Kubernetes, air-gapped via the TAIP release flow, bare metal with systemd.
Proof, not promises
See it in one block.
No proprietary SDKs, no rewrites — ImageSphere meets your tools where they already are.
$ docker push registry.intra.example/team-a/app:v1
pushed — within team-a quota (412 GiB / 500 GiB)
$ helm push chart.tgz oci://registry.intra.example/team-a
$ cosign verify registry.intra.example/team-a/app:v1
# policies, quotas, and writer groups edited live in the admin UI▌ Pure OCI Distribution Spec — docker, helm, and oras work unmodified. The built-in token service means nothing extra to deploy.
Capabilities
What ImageSphere gives you
OCI-native, no proprietary protocols
Standard OCI Distribution Spec — Docker, Helm, ORAS, and any compliant client work unmodified. A built-in /v2/token endpoint means no separate token service to deploy. Helm charts are recognized as charts — values, README, and install hints rendered in the UI, not stored as opaque blobs.
Identity from your IdP
OIDC SSO with back-channel logout, passkeys, and a second factor required where a password alone used to be enough. Admin status follows your IdP groups — promoting an admin is a click in your IdP, not a redeploy — and when a local group name collides with one your IdP asserts, the UI says so instead of silently picking. Robot accounts give CI/CD namespace-scoped credentials that outlive any individual, and both they and API keys record when they were last used, so a dormant credential is visible before it is a finding.
Access control mutable at runtime
Manage namespace members by role — viewer pulls, publisher pushes, maintainer deletes — and edit groups, quotas, and immutable-tag rules from the admin UI. Changes persist in the metadata store and survive restarts: config file as default, runtime override wins. An explain view answers what a given identity may do in a namespace and which grant said so, anonymous clients included, so 'is this public?' is a question with an answer. An append-only audit log, Prometheus metrics, and an in-app bilingual user guide round out day-2 operations.
Vulnerabilities, stated honestly
Trivy scanning behind an admin switch, with a registry-wide default severity policy and an admin-only per-namespace exemption — so an exception is a deliberate, visible act rather than a config file nobody re-reads. Each tag carries a vulnerability panel, the System page inventories every scanner data component and how stale it is, and a version the scanner did not specify is not dressed up as a fix.
Air-gap as a first-class deployment
Ships through the TAIP air-gap release flow: chart and images pre-staged, OIDC application registration automated. The pod runs non-root with OIDC and session keys held in Secrets. The same single binary also installs on bare metal with a hardened systemd unit, htpasswd, and TLS.
How it works
From push to pull, governed end to end.
- Step 01
Push any OCI artifact
Container images, Helm charts, ML models, OPA bundles. Standard /v2/ endpoints; built-in token service for `docker login`.
- Step 02
Identity decides who can do what
OIDC SSO with passkeys, group-based admin, members managed by role. Ask the explain view what any identity may do here — and off-board in your IdP, and the registry follows.
- Step 03
Pulled, signed, scanned
Cosign / Notation verification, Trivy scanning under a registry-wide policy with per-namespace exemptions, namespace storage quotas — same plumbing on Kubernetes, air-gap, or bare metal.
Specification
- Version
- v1.8.7 — generally available
- Protocol
- OCI Distribution Spec · built-in /v2/token service
- Modes
- Kubernetes · air-gapped · bare-metal systemd
- Access
- Member roles — viewer · publisher · maintainer · plus an explain view for any identity, signed in or not
- Scanning
- Trivy · registry-wide default severity policy · admin-only per-namespace exemption · database state on the System page
- Identity
- OIDC SSO · passkeys and a required second factor · API keys and robot accounts with last-used
- Governance
- Runtime-mutable policies · quotas · immutable tags · audit log
- Storage
- Local · S3 · GCS
- Languages
- English · 简体中文
Who it's for
Built for these teams
- Internal platform teams building self-service registries
- Air-gapped, regulated, and edge deployments
- Anyone who wants Cosign and CVE scanning without a control plane behind it
Where it fits
ImageSphere in the TAIP stack
Every product shares one identity, one quota model, and one audit trail with the rest of the platform. Here is where ImageSphere sits.
L4
AI lifecycle
Develop → train → register → serve
L3
Control plane
Tenancy, operations, and accounting
L2
Foundation
Kubernetes, identity, storage, networking
L1
Your hardware
On-prem · VPC · air-gapped
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