Broomkit

Broomkit

DPR Software Labs OPC Private Limited
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About

Broomkit is a native macOS disk cleaner and app uninstaller built for transparency and safety. It scans the home folder across 16 categories — app caches, package caches, dependency folders, simulators, logs, duplicates, and more — showing every file with its full path before removal. The free version includes a full disk scan, interactive Disk Map visualisation, large and old file finder, and path browsing — no account required. A one-time licence unlocks Reclaim and the App Uninstaller with residue cleanup. Safety is central: all removals go to Trash, inferred items start unchecked, and no admin password is requested. Leftovers are matched by exact bundle identifier to prevent accidental deletion. Developer machines are a focus, covering npm, pnpm, pip caches, Xcode DerivedData, simulators, and Docker data. Broomkit runs natively on macOS 14+ on Apple Silicon and Intel, is notarized by Apple, and requires no subscription.

About

oMLX is a macOS-native MLX server designed to make local AI faster and more practical on Apple Silicon. Built for the way coding agents actually work, it uses paged SSD KV caching to persist cache blocks to disk, allowing previously seen prefixes to be restored across requests and server restarts instead of being recomputed from scratch. This can reduce time to first token on long contexts from 30–90 seconds to under five seconds after the first turn. Continuous batching handles concurrent requests through mlx-lm’s BatchGenerator, improving generation throughput without forcing requests to wait behind a single job. oMLX can serve LLMs, vision-language models, embedding models, and rerankers simultaneously, using LRU eviction when memory runs low. It supports any MLX-format model from Hugging Face, including Qwen, LLaMA, Mistral, Gemma, DeepSeek, MiniMax, and GLM, and can reuse models already stored in the standard Hugging Face cache, LM Studio folders, or custom directories.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

General consumers (Mac users), software developers and engineers, creative professionals, IT professionals managing personal Macs

Audience

Developers and AI power users needing to run fast local LLM inference and agentic coding workflows on Apple Silicon

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

No images available

Screenshots and Videos

Pricing

$34
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

DPR Software Labs OPC Private Limited
Founded: 2026
India
broomkit.com

Company Information

oMLX
United States
omlx.ai/

Alternatives

No Alternatives

Alternatives

Photon

Photon

Moondream
Run BiOS

Run BiOS

UltraSafe AI Inc.
Macyou

Macyou

Macyou LLC
BaseRT

BaseRT

Base Compute

Categories

Categories

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
Claim Broomkit and update features and information
Claim Broomkit and update features and information
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Claim oMLX and update features and information