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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 No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

DeepSeek Yes 
Qwen Yes 
ChatGPT Yes 
Claude Yes 
Claude Code No 
GPT-5.6 Luna Yes 
GPT-5.6 Sol Yes 
GPT-5.6 Sol Ultrafast Yes 
GitHub No 
Grok Yes 
Grok 4.1 Yes 
Hugging Face No 
JSON No 
LM Studio No 
Llama No 
MiniMax No 
Model Context Protocol (MCP) No 
Nano Banana Yes 
OpenClaw No 
Python No 

Integrations

DeepSeek Yes 
Qwen Yes 
ChatGPT No 
Claude No 
Claude Code Yes 
GPT-5.6 Luna No 
GPT-5.6 Sol No 
GPT-5.6 Sol Ultrafast No 
GitHub Yes 
Grok No 
Grok 4.1 No 
Hugging Face Yes 
JSON Yes 
LM Studio Yes 
Llama Yes 
MiniMax Yes 
Model Context Protocol (MCP) Yes 
Nano Banana No 
OpenClaw Yes 
Python Yes 

Pricing Details

$9.99 per month
Free Trial Yes 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac Yes 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

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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