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The Cloudsmith CLI now supports the Model Context Protocol (MCP), allowing you to bridge your package management workflow with AI assistants like Claude, Cursor, and VS Code…
The Cloudsmith CLI now supports the Model Context Protocol (MCP), allowing you to bridge your package management workflow with AI assistants like Claude, Cursor, and VS Code…
You can now proxy and cache binaries, scripts, and other assets directly from GitHub Releases into Cloudsmith…
You can now use the upstream publish date in Cloudsmith policies for Python, NuGet, Docker, Ruby, Go, Rust (Cargo), Conda, and Maven packages, expanding on the npm support added earlier this year. This enables you to define policies that automatically quarantine new packages for a specific time period (e.g., three days) after release…
We've made a significant new upgrade to our documentation website, adding an API sandbox where you get hands-on with all of our API endpoints…
We’ve added support for generic upstreams to the Cloudsmith Terraform provider. This update allows customers to automate the proxying and caching of any file-based asset - such as raw binaries or scripts - directly via Infrastructure as Code…
We have added the edge_response field to our automated S3 and Azure client log exports…
Cloudsmith’s new Generic package format offers a flexible way to upload and manage any file or binary within Cloudsmith. This release includes upstream proxying and caching, enabling teams to fetch assets from external sources that don’t fit into standard package ecosystems…
Builds are now faster with support for Maven parallel deployment…
Broadcasts allow you to distribute artifacts directly from your Cloudsmith repositories using a polished, customizable UI that reflects your brand, integrates with native developer tooling, and provides visibility into how your software is being adopted…
Cloudsmith now provides a reference implementation guide for Amazon SageMaker. This resource demonstrates how to utilize Cloudsmith as a secure, central hub for the Hugging Face models, Docker images, and Python packages required for machine learning workflows…