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Description
Broomkit is a macOS application designed to clean disk space and uninstall apps while prioritizing safety and transparency. It performs a comprehensive scan of the home directory, evaluating 16 different categories such as app caches, package caches, dependency folders, simulators, logs, duplicates, and more, displaying each file along with its complete path prior to deletion.
The free version offers a complete disk scan, an interactive Disk Map visualization, tools for finding large and old files, and path browsing capabilities—all without the need for an account. Users can purchase a one-time license to unlock additional features, including the Reclaim tool and the App Uninstaller with residual cleanup.
Safety is a primary concern, as all items marked for removal are sent to Trash, inferred items remain unchecked by default, and no administrator password is needed during the process. To avoid unintended deletions, leftover files are matched using their exact bundle identifiers.
Broomkit also caters specifically to developer environments, addressing the needs of npm, pnpm, and pip cache management, as well as Xcode DerivedData, simulators, and Docker data cleanup. Running natively on macOS 14 and later for both Apple Silicon and Intel architectures, Broomkit is notarized by Apple and does not require a subscription. Ultimately, it is a powerful and user-friendly tool for maintaining a clean and efficient macOS system.
Description
LMCache is an innovative open-source Knowledge Delivery Network (KDN) that functions as a caching layer for serving large language models, enhancing inference speeds by allowing the reuse of key-value (KV) caches during repeated or overlapping calculations. This system facilitates rapid prompt caching, enabling LLMs to "prefill" recurring text just once, subsequently reusing those saved KV caches in various positions across different serving instances. By implementing this method, the time required to generate the first token is minimized, GPU cycles are conserved, and throughput is improved, particularly in contexts like multi-round question answering and retrieval-augmented generation. Additionally, LMCache offers features such as KV cache offloading, which allows caches to be moved from GPU to CPU or disk, enables cache sharing among instances, and supports disaggregated prefill to optimize resource efficiency. It works seamlessly with inference engines like vLLM and TGI, and is designed to accommodate compressed storage formats, blending techniques for cache merging, and a variety of backend storage solutions. Overall, the architecture of LMCache is geared toward maximizing performance and efficiency in language model inference applications.
API Access
Has API
API Access
Has API
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Integrations
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Integrations
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Pricing Details
$34
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
DPR Software Labs OPC Private Limited
Founded
2026
Country
India
Website
broomkit.com
Vendor Details
Company Name
LMCache
Country
United States
Website
lmcache.ai/