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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

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

oMLX is an MLX server specifically designed for macOS, enhancing the efficiency and speed of local AI operations on Apple Silicon. It caters to the functional dynamics of coding agents by implementing paged SSD KV caching, which enables the persistence of cache blocks on disk; this means that previously accessed prefixes can be retrieved quickly across different requests and even after server restarts, thereby eliminating the need to recompute them from scratch. As a result, the time taken to generate the first token in lengthy contexts can be significantly reduced, dropping from a range of 30 to 90 seconds down to less than five seconds after the initial interaction. The server adeptly manages simultaneous requests through a continuous batching mechanism via mlx-lm’s BatchGenerator, which enhances overall generation throughput without requiring requests to queue up behind a single task. oMLX is capable of simultaneously serving a variety of models, including LLMs, vision-language models, embedding models, and rerankers, utilizing LRU eviction to manage memory constraints effectively. Furthermore, it is compatible with any MLX-format model sourced from Hugging Face, such as Qwen, LLaMA, Mistral, Gemma, DeepSeek, MiniMax, and GLM, and can also utilize models that are already present in the standard Hugging Face cache, directories associated with LM Studio, or any custom storage locations, ensuring a versatile user experience. This flexibility in model integration enhances the overall usability and practicality of oMLX for developers and researchers alike.

API Access

Has API

API Access

Has API

Screenshots View All

No images available

Screenshots View All

Integrations

Anthropic
Claude Code
Cursor
DeepSeek
GLM-4.1V
Gemma
Gemma
GitHub
Hugging Face
JSON
LM Studio
Llama
MiniMax
Mistral AI
Model Context Protocol (MCP)
OpenAI
OpenClaw
Python
Qwen

Integrations

Anthropic
Claude Code
Cursor
DeepSeek
GLM-4.1V
Gemma
Gemma
GitHub
Hugging Face
JSON
LM Studio
Llama
MiniMax
Mistral AI
Model Context Protocol (MCP)
OpenAI
OpenClaw
Python
Qwen

Pricing Details

$34
Free Trial
Free Version

Pricing Details

No price information available.
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

oMLX

Country

United States

Website

omlx.ai/

Product Features

Product Features

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