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chore(docs): clarify primary Docker image registry and update related documentation
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CLAUDE.md

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@@ -14,8 +14,9 @@ LibreDB Studio is a web-based SQL IDE for cloud-native teams. It supports Postgr
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## Github
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* Repository: https://github.com/libredb/libredb-studio
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* Container Registry: https://github.com/libredb/libredb-studio/pkgs/container/libredb-studio
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* Docker Image: ghcr.io/libredb/libredb-studio:latest
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* Container Registry (primary): https://github.com/libredb/libredb-studio/pkgs/container/libredb-studio
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* Docker Image (primary): ghcr.io/libredb/libredb-studio:latest — no pull rate limits, use in all copy-paste examples
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* Docker Hub (mirror): https://hub.docker.com/r/libredb/libredb-studio`libredb/libredb-studio` (convenience/discoverability only; GHCR stays canonical)
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* Helm Chart: https://artifacthub.io/packages/helm/libredb-studio/libredb-studio
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* Helm Repo: https://libredb.org/libredb-studio/
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* Helm OCI: oci://ghcr.io/libredb/charts/libredb-studio

DOCKERHUB.md

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@@ -79,7 +79,7 @@ A ready-to-use, fully-commented compose file is in the repo: [`docker-compose.ex
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| `sha-<commit>` | every build | Exact immutable commit |
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- **Architectures:** `linux/amd64`, `linux/arm64` (multi-arch manifest).
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- **Also on GHCR:** `ghcr.io/libredb/libredb-studio` (canonical mirror, no pull rate limitspreferred for Kubernetes).
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- **Primary registry:** `ghcr.io/libredb/libredb-studio` (GitHub Container Registry — no pull rate limits, preferred for Kubernetes/CI). This Docker Hub repository is a convenience mirror for discoverability; both registries serve the identical multi-arch image.
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README.md

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ghcr.io/libredb/libredb-studio:latest
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```
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> **Registry**: `ghcr.io/libredb/libredb-studio` is the primary image (no pull rate limits — preferred for Kubernetes/CI). The same image is also mirrored to Docker Hub as [`libredb/libredb-studio`](https://hub.docker.com/r/libredb/libredb-studio) for convenience.
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Open [http://localhost:3000](http://localhost:3000) and login with `admin@libredb.org` / `LibreDB.2026`.
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> **Tip**: Add `-e LLM_PROVIDER=gemini -e LLM_API_KEY=your_key -e LLM_MODEL=gemini-2.5-flash` to enable AI features.

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