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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Anuma is an innovative AI platform prioritizing user privacy that consolidates access to both proprietary and open-source AI systems in a single, user-friendly interface, ensuring complete ownership and control over personal data. Users can seamlessly engage with various models, including ChatGPT, Claude, Gemini, Grok, and open-source options like DeepSeek or Qwen, all without the need to switch between different tools or lose contextual information, facilitating smooth workflows across diverse AI technologies. At the heart of the platform lies a Private Memory Layer designed to securely store user preferences, conversation histories, and contextual information in an encrypted environment controlled by the user, thereby preventing any unauthorized access to sensitive data. This memory feature persists across different sessions and AI models, allowing users to pick up where they left off without the need to reiterate details, thus enhancing continuity in intricate workflows. Additionally, Anuma offers the ability to compare various models side by side, as well as the freedom to create custom mini-applications and automate tasks without requiring any coding skills. Consequently, users can achieve greater efficiency and personalization in their AI interactions.

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

Screenshots View All

Integrations

DeepSeek
Qwen
Anthropic
Claude Sonnet 4.6
Cursor
GLM-4.1V
GPT-5.4
GPT-5.5
GPT-5.6 Luna
GPT-6 Astra
Gemini
Gemini 3.1 Pro
Gemma
Grok
Hugging Face
LM Studio
Llama
Model Context Protocol (MCP)
OpenAI
Python

Integrations

DeepSeek
Qwen
Anthropic
Claude Sonnet 4.6
Cursor
GLM-4.1V
GPT-5.4
GPT-5.5
GPT-5.6 Luna
GPT-6 Astra
Gemini
Gemini 3.1 Pro
Gemma
Grok
Hugging Face
LM Studio
Llama
Model Context Protocol (MCP)
OpenAI
Python

Pricing Details

$9.99 per month
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

Anuma

Founded

2025

Country

United States

Website

www.anuma.ai/

Vendor Details

Company Name

oMLX

Country

United States

Website

omlx.ai/

Product Features

Product Features

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