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All-in-one private LLM and RAG desktop app for Mac, Windows, and Linux Pros include Supports multiple users Privacy-focused design Operable without internet Compatible with various LLM Supports diverse document formats Customizable interface Advanced developer API Installable on any desktop Compatible with MacOS and Windows Allows user control Supports enterprise models Supports custom models Supports open-source models Standalone application capability Internal and external operations Plug-in-free operation Any model, any document One-click installation Compatibility with GPT-4 Sky as limit customization Operates with explicitly connected services Doesn’t restrict LLM provider Unlimited LLM control Enterprise-ready tool Comprehensive solution Can function offline Offers full control Privacy-centered solution Runs on machine without internet Appearance customization Diverse document support. Considerations include No mobile compatibility Requires explicit connectivity No Linux support Over-reliance on personal customization Potential overload with diverse models No multi-language support indicated No automatic updates indicated Limited document format support.

Take advantage of enhanced audio and visual understanding to create comprehensive multimodal applications, ranging from image analysis to audio interpretation. The open-source E2B and E4B models offer optimal memory capacity and computational efficiency. Perfect for inference on devices with limited resources

Ask questions in natural language directly in Google Maps to plan a route or find a place that suits your needs. Navigation now displays a realistic 3D view featuring buildings, roads, traffic lights, and crosswalks

Generate images with precise color control using hex codes and up to 9 reference photos. This Alibaba template ensures consistent faces and legible text directly in your images

An open-source model designed for code and long-running tasks, with a context window of up to 1 million tokens. This Mixed Expert (MoE) LLM handles complex projects, analyzes entire repositories, and performs multi-step reasoning. It is available as open source under the MIT license

Install an open-source agent on your own machine that remembers everything, improves over time, and orchestrates your complex tasks (web, code, files, APIs) using a variety of tools and templates. A single command is all it takes to deploy it on Linux, macOS, or WSL2

Use a more reliable and accurate ChatGPT. This new model significantly reduces hallucinations on sensitive topics (medicine, law, finance). It provides shorter responses and offers greater personalization based on your files, past conversations, and connected Gmail account

Power up your code agents with a 128-billion-parameter model featuring a 256,000-token context window, which excels at coding, reasoning, and following instructions. This model requires only 4 GPUs to run and achieves a score of 77.6% on SWE-Bench Verified

A Google AI model capable of handling complex tasks involving text, images, audio, or video. It can summarize lengthy sources, analyze data, and assist in coding end-to-end interfaces

This model from OpenAI responds more directly to your questions, without unnecessary refusals or moralizing statements. It reduces hallucinations by 27%, better understands the context of your questions, and enriches its responses with web search

This open-source model combines reasoning, image analysis, and advanced coding into a single tool. Powerful and flexible, it can handle long queries and generate more direct and effective responses. A robust alternative to the best models on the market

Analyze how your brand appears in responses from ChatGPT, Perplexity, Gemini, and other AI systems, then boost your visibility with GEO + SEO recommendations. The platform analyzes mentions, citations, traffic, backlinks, and sentiment to turn your data into concrete marketing actions

This open-weight model, with 754 billion parameters, is designed for long and complex engineering tasks: it can operate autonomously for up to 8 hours straight, from planning through to final delivery. As the world’s first open-source model on WE-Bench Pro and NL2Repo, it rivals Claude Opus 4.6 in code quality

This model improves upon the previous M2.5 version in terms of agentic coding, office productivity, and following complex instructions. It self-improves by building its own skills to learn continuously, achieving the highest open-source ELO score on GDPval-AA

Capture your screen and turn it into eye-catching visuals or videos that make people want to click. This AI automatically adds beautiful backgrounds, animations, and layouts, then generates short demo videos optimized to convert your visitors into customers

Record your meetings on Mac without any bots and get a live transcript with speaker identification, smart summaries, and generated actions (tasks, emails) using only your voice. Claimed to be 5 times faster than traditional note-taking, it works via the cloud or locally

Microsoft’s new reasoning model, trained from scratch and optimized for code. It rivals the best models on SWE-Bench Pro and AIME 2025, while remaining medium-sized and computationally efficient

OpenAI's most powerful frontier model directly controls your computer, processes 1 million tokens, and reasons about very long tasks. It is claimed to reduce errors by 33% and significantly improve code and document analysis