Find and compare the best Artificial Intelligence software for Linux in 2026
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Use the comparison tool below to compare the top Artificial Intelligence software for Linux on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.
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Safurai
Safurai
$0Safurai, an AI-based IDE extension, is designed to aid developers by speeding up coding and debugging, documentation, and many other tasks. It acts as a virtual assistant and provides solutions and suggestions for any problems that may arise during software development. Safurai allows developers to improve their workflow and code quality. This makes the development process more efficient. Safurai AI is made up of a set of non-proprietary Large Language Models optimized for programming and performing all the functions. The models we use are trained with synthetic data only, we do not retain or reuse user codebase data for model improvement purposes. For Safurai, "Transparency" is not only a vogue word. We care a lot about transparency. -
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UI.Vision RPA
UI.Vision
FreeEffortless automation tailored for those with hectic schedules. The UI Vision free RPA software, which was previously known as Kantu, simplifies the automation of both web and desktop applications across Windows, Mac, and Linux platforms. This open-source browser extension, UI.Vision RPA, can be enhanced with local applications for desktop UI automation, ensuring a comprehensive solution. With its core built on open-source principles, UI Vision promises enterprise-level security, ensuring that your data remains securely on your device. Join over 100,000 users in streamlining workflows, whether on your desktop or within your browser. The visual UI testing features offered by UI Vision empower web designers and developers to confirm the accuracy and design of websites and canvas elements. Additionally, UI Vision possesses the capability to detect and interpret images and text embedded within canvas elements, images, and videos. It can also adjust the browser window size to simulate different resolutions, making it an invaluable tool for testing layouts across various browser dimensions and ensuring a flawless visual presentation for mobile, web, and native applications. With UI Vision, you can significantly enhance your productivity and achieve consistent results in your automation tasks. -
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Axiom.ai
Axiom.ai
$15Streamline your tasks by employing browser bots to automate actions on any website or web application, making repetitive activities a breeze. Installation is straightforward and comes with a free trial that doesn’t require a credit card. After installation, simply pin Axiom to your Chrome Toolbar for easy access—click the icon to launch or hide the interface. Each bot can be tailored to suit your specific requirements, allowing you to create as many as necessary. Automate various actions such as clicking and typing across any site, and you can opt for manual execution, schedule them, or link with Zapier to initiate external events seamlessly. With Axiom.ai, you can achieve automation within minutes, and while a desktop application is optional, it’s essential for functions involving file uploads or downloads. This application is compatible with any subscription level and is available for Apple, PC, and Linux systems. For those on the cloud tier, Zapier can initiate Axiom operations, while Axiom can also send data to Zapier for further processing at any tier. Moreover, any tool capable of sending or receiving webhooks can be configured to integrate with Axiom, enhancing its versatility and functionality. This makes Axiom not just a tool, but a powerful ally in optimizing your web interactions. -
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PyAutoGUI
PyAutoGUI
FreePyAutoGUI enables Python scripts to manage mouse and keyboard actions, allowing for the automation of user interactions with various applications. Its user-friendly API caters to developers working on Windows, macOS, and Linux, supporting both Python 2 and 3. The library facilitates tasks such as moving the mouse and clicking within application windows, sending keystrokes to complete forms, and taking screenshots while also enabling image recognition to locate specific UI elements on the screen. Additionally, it can identify an application's window to manipulate its size, position, and visibility, although this feature is currently limited to Windows. Users can also create alert and message boxes for communication purposes. For instance, a bot utilizing PyAutoGUI monitors a gaming application for images of sushi orders; upon detecting one, it automatically clicks the corresponding ingredient buttons to assemble the sushi. Furthermore, it interacts with the game's phone feature to order additional ingredients as required, showcasing its capacity for full autonomy in gameplay. This example illustrates the diverse automation capabilities that PyAutoGUI offers to developers. -
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RTILA
RTILA
$99 one-time paymentStreamline your most intricate tasks and workflows within your web or intranet applications, allowing your teams to focus on more impactful work. With RTILA, you can automate outreach and conversion processes while managing all validation tasks in the background, resulting in organized and actionable data outputs. This comprehensive suite of tools and features empowers you to manipulate any data as you see fit. Cards represent an advanced iteration of bots, capable of being integrated effortlessly and securely into various automation processes. Collaborate and automate without risking your credentials, as the vault ensures your sensitive information remains protected. Rapidly select and extract data from even the most complex sources, and format, enrich, complement, and rectify the data in real-time. Transform your data into valuable business insights and financial assets. Implementing Robotic Process Automation (RPA) frees up essential human resources by assigning monotonous tasks and processes to bots that can effectively engage with your team, leading to increased efficiency and productivity. By leveraging automation, you can enhance accuracy and drive better decision-making within your organization. -
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Wordly
Wordly
Wordly delivers live AI translation, captioning, transcription, and interpretation for in-person, virtual, and hybrid meetings and events. It instantly translates speakers into audio and captions for dozens of languages, eliminating the need for human interpreters or specialized gear. Additionally, Wordly offers video translation, video subtitles, audio translation, and audio transcription services. Attendees simply select their preferred language and use their phone, tablet, or computer to access the live translation. The platform is available on-demand 24/7, integrates seamlessly with all major video conferencing and virtual platforms, and requires no IT support for implementation. With Wordly, it’s fast, easy, and affordable to boost inclusivity, engagement, and learning. Thousands of businesses and millions of attendees have used Wordly across tech, financial services, healthcare, manufacturing, education, government, religious, and non-profit sectors. Its secure, cloud-based platform ensures scalability for events of any size, from small meetings to large global conferences. This innovative solution truly removes language barriers, fostering a more connected and productive global environment. -
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Lindy
Lindy AI
$49.99/month Lindy, an AI-powered assistant, is designed to streamline professional tasks. It integrates seamlessly with numerous applications including Gmail, Zoom and Twilio. It allows users to automate workflows, such as email management and customer support, scheduling and CRM data entry. Lindy's intuitive interface allows users to create AI agents within minutes, automating complex processes without coding expertise. Lindy also offers templates that can be customized to meet specific needs. For example, it is able to convert real-time interactions between clinicians and patients into accurate, comprehensive notes. Lindy allows professionals to focus on the most important aspects of their job, while ensuring that routine tasks are handled efficiently. -
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Refact.ai
Refact AI
$0Refact.ai is an advanced AI-powered assistant that integrates directly into your IDE, offering intelligent code completion, real-time code suggestions, and automatic refactoring to streamline the coding process. By using the AI model trained on your codebase, Refact.ai adapts to your team's style, providing highly relevant recommendations to enhance productivity. Developers can also fine-tune the assistant to better suit their unique requirements, making it a powerful tool for personalized coding assistance. With support for all major IDEs and secure on-premise deployment, Refact.ai empowers developers to increase code quality, reduce time spent on manual tasks, and achieve faster results. -
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Cody
Sourcegraph
$59Cody is an advanced AI coding assistant developed by Sourcegraph to enhance the efficiency and quality of software development. It integrates seamlessly with popular Integrated Development Environments (IDEs) such as VS Code, Visual Studio, Eclipse, and various JetBrains IDEs, providing features like AI-driven chat, code autocompletion, and inline editing without altering existing workflows. Designed to support enterprises, Cody emphasizes consistency and quality across entire codebases by utilizing comprehensive context and shared prompts. It also extends its contextual understanding beyond code by integrating with tools like Notion, Linear, and Prometheus, thereby gathering a holistic view of the development environment. By leveraging the latest Large Language Models (LLMs), including Claude Sonnet 4 and GPT-4o, Cody offers tailored assistance that can be optimized for specific use cases, balancing speed and performance. Developers have reported significant productivity gains, with some noting time savings of approximately 5-6 hours per week and a doubling of coding speed when using Cody. -
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Jurassic-2
AI21
$29 per monthWe are excited to introduce Jurassic-2, the newest iteration of AI21 Studio's foundation models, which represents a major advancement in artificial intelligence, boasting exceptional quality and innovative features. In addition to this, we are unveiling our tailored APIs that offer seamless reading and writing functionalities, surpassing those of our rivals. At AI21 Studio, our mission is to empower developers and businesses to harness the potential of reading and writing AI, facilitating the creation of impactful real-world applications. Today signifies a pivotal moment with the launch of Jurassic-2 and our Task-Specific APIs, enabling you to effectively implement generative AI in production settings. Known informally as J2, Jurassic-2 showcases remarkable enhancements in quality, including advanced zero-shot instruction-following, minimized latency, and support for multiple languages. Furthermore, our specialized APIs are designed to provide developers with top-tier tools that excel in executing specific reading and writing tasks effortlessly, ensuring you have everything needed to succeed in your projects. Together, these advancements set a new standard in the AI landscape, paving the way for innovative solutions. -
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Lightly
Lightly
$9 per monthEnhance your app development process with Lightly, a versatile multilingual cloud IDE that allows you to produce high-quality code effortlessly using AI-assisted coding and real-time collaboration tools. This robust platform supports various programming languages, such as Java, Python, C++, HTML, and JavaScript, enabling you to write, execute, and troubleshoot code conveniently from your iPad at any location. With its AI-generated code capabilities, you can swiftly create code snippets, while the collaborative features facilitate seamless teamwork, allowing multiple users to work together on projects in real-time. Additionally, Lightly simplifies deployment and hosting by managing the infrastructure for you, with project images available to streamline deployment across AWS, Azure, GCP, or any other cloud service provider. By allowing you to concentrate on your creative ideas, Lightly's AI programming assistant takes care of the technical details, enhancing your productivity and effectiveness in developing applications. In this way, you can focus more on innovation while relying on advanced technology to support your development efforts. -
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Jeda Ai
Jeda Ai
$10 per monthIgnite your productivity with the Jeda AI workspace canvas, where real-time collaboration meets stunning visual content creation, setting the stage for business success. This innovative platform features an AI-driven online whiteboard that enables users to harmonize their ideas and visualize effective solutions to complex challenges. Welcome to a new era in productivity, where this cutting-edge tool accelerates the processes of creating, analyzing, and visualizing information and content. By harnessing the full capabilities of Jeda AI, you can unlock your business's potential and maintain a competitive advantage in your industry. Transform the way you engage with your audience and witness unparalleled productivity improvements. With its sleek and intuitive design, Jeda AI stands out as a user-friendly visual workspace powered by advanced artificial intelligence. Its remarkable technology generates creative and innovative ideas at an impressive speed, instantly producing high-quality visual content that can inspire your next brainstorming or productivity session. Embrace the future of work with Jeda AI and revolutionize your approach to collaboration and creativity. -
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AutoGPT
AutoGPT
FreeAutoGPT is a pioneering open-source tool that demonstrates the potential of the GPT-4 language model. This innovative application utilizes GPT-4 to link together various "thoughts" generated by the model, enabling it to independently pursue any objectives you define. As one of the initial implementations of GPT-4 functioning entirely on its own, Auto-GPT expands the frontiers of artificial intelligence capabilities. It offers features such as 🌐 the ability to access the internet for conducting searches and collecting information, 💾 management of both long-term and short-term memory, 🧠 utilization of GPT-4 instances for generating text, 🔗 connections to widely used websites and platforms, 🗃️ capabilities for file storage and summarization, and 🔌 the option to extend functionality through plugins. This makes it a versatile tool for various applications. -
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BabyAGI
BabyAGI
FreeThis Python script exemplifies an AI-driven task management system that leverages both OpenAI and Chroma to manage tasks effectively. The core concept of this system is that it generates tasks informed by prior outcomes and a set goal. Utilizing OpenAI's natural language processing (NLP), the script formulates new tasks aligned with its objectives while employing Chroma to archive and access task outcomes for added context. This implementation serves as a simplified version of the original Task-Driven Autonomous Agent. The script operates within an endless loop executing a series of defined steps, which include: 1. Retrieving the initial task from the list of tasks. 2. Dispatching the task to the execution agent, which utilizes OpenAI's API to accomplish the task within the contextual framework. 3. Enhancing the result obtained and saving it in Chroma for future reference. 4. Generating additional tasks and rearranging the task list according to the overarching objective and the results from the completed task, ensuring continuous adaptation and improvement in task management. This approach allows for a dynamic and responsive task management system that evolves with each completed task. -
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Stable LM
Stability AI
FreeStable LM represents a significant advancement in the field of language models by leveraging our previous experience with open-source initiatives, particularly in collaboration with EleutherAI, a nonprofit research organization. This journey includes the development of notable models such as GPT-J, GPT-NeoX, and the Pythia suite, all of which were trained on The Pile open-source dataset, while many contemporary open-source models like Cerebras-GPT and Dolly-2 have drawn inspiration from this foundational work. Unlike its predecessors, Stable LM is trained on an innovative dataset that is three times the size of The Pile, encompassing a staggering 1.5 trillion tokens. We plan to share more information about this dataset in the near future. The extensive nature of this dataset enables Stable LM to excel remarkably in both conversational and coding scenarios, despite its relatively modest size of 3 to 7 billion parameters when compared to larger models like GPT-3, which boasts 175 billion parameters. Designed for versatility, Stable LM 3B is a streamlined model that can efficiently function on portable devices such as laptops and handheld gadgets, making us enthusiastic about its practical applications and mobility. Overall, the development of Stable LM marks a pivotal step towards creating more efficient and accessible language models for a wider audience. -
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Dolly
Databricks
FreeDolly is an economical large language model that surprisingly demonstrates a notable level of instruction-following abilities similar to those seen in ChatGPT. While the Alpaca team's research revealed that cutting-edge models could be encouraged to excel in high-quality instruction adherence, our findings indicate that even older open-source models with earlier architectures can display remarkable behaviors when fine-tuned on a modest set of instructional training data. By utilizing an existing open-source model with 6 billion parameters from EleutherAI, Dolly has been slightly adjusted to enhance its ability to follow instructions, showcasing skills like brainstorming and generating text that were absent in its original form. This approach not only highlights the potential of older models but also opens new avenues for leveraging existing technologies in innovative ways. -
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mT5
Google
FreeThe multilingual T5 (mT5) is a highly versatile pretrained text-to-text transformer model, developed using a methodology akin to that of T5. This repository serves as a resource for replicating the findings outlined in the mT5 research paper. mT5 has been trained on the extensive mC4 corpus, which encompasses 101 different languages, including but not limited to Afrikaans, Albanian, Amharic, Arabic, Armenian, Azerbaijani, Basque, Belarusian, Bengali, Bulgarian, Burmese, Catalan, Cebuano, Chichewa, Chinese, Corsican, Czech, Danish, Dutch, English, Esperanto, Estonian, Filipino, Finnish, French, Galician, Georgian, German, Greek, Gujarati, Haitian Creole, Hausa, Hawaiian, Hebrew, Hindi, Hmong, Hungarian, Icelandic, Igbo, Indonesian, Irish, Italian, Japanese, Javanese, Kannada, Kazakh, Khmer, Korean, Kurdish, Kyrgyz, Lao, Latin, Latvian, Lithuanian, Luxembourgish, Macedonian, Malagasy, Malay, Malayalam, Maltese, Maori, Marathi, Mongolian, Nepali, Norwegian, Pashto, Persian, Polish, Portuguese, Punjabi, Romanian, Russian, Samoan, Scottish Gaelic, Serbian, Shona, Sindhi, and many others. This impressive range of languages makes mT5 a valuable tool for multilingual applications across various fields. -
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Cerebras-GPT
Cerebras
FreeTraining cutting-edge language models presents significant challenges; it demands vast computational resources, intricate distributed computing strategies, and substantial machine learning knowledge. Consequently, only a limited number of organizations embark on the journey of developing large language models (LLMs) from the ground up. Furthermore, many of those with the necessary capabilities and knowledge have begun to restrict access to their findings, indicating a notable shift from practices observed just a few months ago. At Cerebras, we are committed to promoting open access to state-of-the-art models. Therefore, we are excited to share with the open-source community the launch of Cerebras-GPT, which consists of a series of seven GPT models with parameter counts ranging from 111 million to 13 billion. Utilizing the Chinchilla formula for training, these models deliver exceptional accuracy while optimizing for computational efficiency. Notably, Cerebras-GPT boasts quicker training durations, reduced costs, and lower energy consumption compared to any publicly accessible model currently available. By releasing these models, we hope to inspire further innovation and collaboration in the field of machine learning. -
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DragGAN
DragGAN
FreeCreating visual content that aligns with user requirements often necessitates a high degree of flexibility and precision in managing the pose, shape, expression, and arrangement of the generated elements. Traditional methods enhance the controllability of generative adversarial networks (GANs) by relying on manually labeled training datasets or pre-existing 3D models, which frequently fall short in terms of flexibility, accuracy, and adaptability. In this research, we explore a powerful yet relatively underutilized technique for controlling GANs, which allows users to "drag" specific points in an image to accurately reach designated target locations through interactive engagement, as illustrated in Fig.1. Our proposed solution, DragGAN, comprises two primary components: first, a feature-based motion supervision system that guides the handle point toward the intended position; and second, an innovative point tracking method that utilizes the discriminative features of GANs to continuously identify the handle points' locations. With DragGAN, users gain the capability to manipulate images with exceptional precision in directing pixel movements, thereby facilitating a more intuitive and user-centered design process. This approach not only enhances creative possibilities but also empowers users to achieve their desired visual outcomes more effectively. -
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ZenML
ZenML
FreeSimplify your MLOps pipelines. ZenML allows you to manage, deploy and scale any infrastructure. ZenML is open-source and free. Two simple commands will show you the magic. ZenML can be set up in minutes and you can use all your existing tools. ZenML interfaces ensure your tools work seamlessly together. Scale up your MLOps stack gradually by changing components when your training or deployment needs change. Keep up to date with the latest developments in the MLOps industry and integrate them easily. Define simple, clear ML workflows and save time by avoiding boilerplate code or infrastructure tooling. Write portable ML codes and switch from experiments to production in seconds. ZenML's plug and play integrations allow you to manage all your favorite MLOps software in one place. Prevent vendor lock-in by writing extensible, tooling-agnostic, and infrastructure-agnostic code. -
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BotCity
BotCity
30-day trialAs user-generated Python scripts and AI tools proliferate beyond the scope of IT governance, organizations are increasingly vulnerable to Shadow IT threats, which can lead to security vulnerabilities, compliance challenges, and diminished oversight of operations. To address these challenges, BotCity provides a comprehensive governance platform that offers enterprise orchestration and real-time insights into all Python automations, including those powered by AI. Furthermore, it facilitates the acceleration of hyperautomation projects through the integration of RPA and AI technologies, while also significantly lowering costs—up to five times less than traditional low-code platforms. In addition, BotCity allows for the flexible deployment of bots across various environments such as virtual machines, containers, and serverless platforms, and it supports a wide range of systems including SAP, Citrix, Windows, and Linux. Organizations can take advantage of a complimentary 30-day trial to explore these advanced capabilities. -
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Falcon-40B
Technology Innovation Institute (TII)
FreeFalcon-40B is a causal decoder-only model consisting of 40 billion parameters, developed by TII and trained on 1 trillion tokens from RefinedWeb, supplemented with carefully selected datasets. It is distributed under the Apache 2.0 license. Why should you consider using Falcon-40B? This model stands out as the leading open-source option available, surpassing competitors like LLaMA, StableLM, RedPajama, and MPT, as evidenced by its ranking on the OpenLLM Leaderboard. Its design is specifically tailored for efficient inference, incorporating features such as FlashAttention and multiquery capabilities. Moreover, it is offered under a flexible Apache 2.0 license, permitting commercial applications without incurring royalties or facing restrictions. It's important to note that this is a raw, pretrained model and is generally recommended to be fine-tuned for optimal performance in most applications. If you need a version that is more adept at handling general instructions in a conversational format, you might want to explore Falcon-40B-Instruct as a potential alternative. -
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Falcon-7B
Technology Innovation Institute (TII)
FreeFalcon-7B is a causal decoder-only model comprising 7 billion parameters, developed by TII and trained on an extensive dataset of 1,500 billion tokens from RefinedWeb, supplemented with specially selected corpora, and it is licensed under Apache 2.0. What are the advantages of utilizing Falcon-7B? This model surpasses similar open-source alternatives, such as MPT-7B, StableLM, and RedPajama, due to its training on a remarkably large dataset of 1,500 billion tokens from RefinedWeb, which is further enhanced with carefully curated content, as evidenced by its standing on the OpenLLM Leaderboard. Additionally, it boasts an architecture that is finely tuned for efficient inference, incorporating technologies like FlashAttention and multiquery mechanisms. Moreover, the permissive nature of the Apache 2.0 license means users can engage in commercial applications without incurring royalties or facing significant limitations. This combination of performance and flexibility makes Falcon-7B a strong choice for developers seeking advanced modeling capabilities. -
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RedPajama
RedPajama
FreeFoundation models, including GPT-4, have significantly accelerated advancements in artificial intelligence, yet the most advanced models remain either proprietary or only partially accessible. In response to this challenge, the RedPajama initiative aims to develop a collection of top-tier, fully open-source models. We are thrilled to announce that we have successfully completed the initial phase of this endeavor: recreating the LLaMA training dataset, which contains over 1.2 trillion tokens. Currently, many of the leading foundation models are locked behind commercial APIs, restricting opportunities for research, customization, and application with sensitive information. The development of fully open-source models represents a potential solution to these limitations, provided that the open-source community can bridge the gap in quality between open and closed models. Recent advancements have shown promising progress in this area, suggesting that the AI field is experiencing a transformative period akin to the emergence of Linux. The success of Stable Diffusion serves as a testament to the fact that open-source alternatives can not only match the quality of commercial products like DALL-E but also inspire remarkable creativity through the collaborative efforts of diverse communities. By fostering an open-source ecosystem, we can unlock new possibilities for innovation and ensure broader access to cutting-edge AI technology. -
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Vicuna
lmsys.org
FreeVicuna-13B is an open-source conversational agent developed through the fine-tuning of LLaMA, utilizing a dataset of user-shared dialogues gathered from ShareGPT. Initial assessments, with GPT-4 serving as an evaluator, indicate that Vicuna-13B achieves over 90% of the quality exhibited by OpenAI's ChatGPT and Google Bard, and it surpasses other models such as LLaMA and Stanford Alpaca in more than 90% of instances. The entire training process for Vicuna-13B incurs an estimated expenditure of approximately $300. Additionally, the source code and model weights, along with an interactive demonstration, are made available for public access under non-commercial terms, fostering a collaborative environment for further development and exploration. This openness encourages innovation and enables users to experiment with the model's capabilities in diverse applications.
