Page 38 | Top Artificial Intelligence Software for Windows in 2026

Find and compare the best Artificial Intelligence software for Windows in 2026

Sort:

Artificial Intelligence Windows Reset Filters

Use the comparison tool below to compare the top Artificial Intelligence software for Windows on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

1

Mistral Vibe CLI

Mistral AI
Free

See Software

The Mistral Vibe CLI is an innovative command-line tool designed for "vibe-coding," allowing developers to engage with their projects using natural language commands instead of relying solely on tedious manual edits or traditional IDE functionalities. This interface integrates with version control systems like Git, examining project files, the structure of directories, and the status of Git to establish context. It leverages this context alongside advanced AI coding models, such as Devstral 2 and Devstral Small, to perform a variety of tasks including multi-file edits, code refactoring, code generation, searching, and manipulating files— all initiated through simple English instructions. By keeping track of project-specific details such as dependencies, file organization, and history, it is capable of executing coordinated updates across multiple files at once, such as renaming a function and ensuring all references throughout the repository are adjusted accordingly. Additionally, it can create boilerplate code across different modules and even help outline new features starting from an overarching prompt, significantly streamlining the development process. This approach not only enhances productivity but also fosters a more intuitive coding environment for developers.
2

DeepCoder

Agentica Project
Free

See Software

DeepCoder, an entirely open-source model for code reasoning and generation, has been developed through a partnership between Agentica Project and Together AI. Leveraging the foundation of DeepSeek-R1-Distilled-Qwen-14B, it has undergone fine-tuning via distributed reinforcement learning, achieving a notable accuracy of 60.6% on LiveCodeBench, which marks an 8% enhancement over its predecessor. This level of performance rivals that of proprietary models like o3-mini (2025-01-031 Low) and o1, all while operating with only 14 billion parameters. The training process spanned 2.5 weeks on 32 H100 GPUs, utilizing a carefully curated dataset of approximately 24,000 coding challenges sourced from validated platforms, including TACO-Verified, PrimeIntellect SYNTHETIC-1, and submissions to LiveCodeBench. Each problem mandated a legitimate solution along with a minimum of five unit tests to guarantee reliability during reinforcement learning training. Furthermore, to effectively manage long-range context, DeepCoder incorporates strategies such as iterative context lengthening and overlong filtering, ensuring it remains adept at handling complex coding tasks. This innovative approach allows DeepCoder to maintain high standards of accuracy and reliability in its code generation capabilities.
3

DeepSWE

Agentica Project
Free

See Software

DeepSWE is an innovative and fully open-source coding agent that utilizes the Qwen3-32B foundation model, trained solely through reinforcement learning (RL) without any supervised fine-tuning or reliance on proprietary model distillation. Created with rLLM, which is Agentica’s open-source RL framework for language-based agents, DeepSWE operates as a functional agent within a simulated development environment facilitated by the R2E-Gym framework. This allows it to leverage a variety of tools, including a file editor, search capabilities, shell execution, and submission features, enabling the agent to efficiently navigate codebases, modify multiple files, compile code, run tests, and iteratively create patches or complete complex engineering tasks. Beyond simple code generation, DeepSWE showcases advanced emergent behaviors; when faced with bugs or new feature requests, it thoughtfully reasons through edge cases, searches for existing tests within the codebase, suggests patches, develops additional tests to prevent regressions, and adapts its cognitive approach based on the task at hand. This flexibility and capability make DeepSWE a powerful tool in the realm of software development.
4

DeepScaleR

Agentica Project
Free

See Software

DeepScaleR is a sophisticated language model comprising 1.5 billion parameters, refined from DeepSeek-R1-Distilled-Qwen-1.5B through the use of distributed reinforcement learning combined with an innovative strategy that incrementally expands its context window from 8,000 to 24,000 tokens during the training process. This model was developed using approximately 40,000 meticulously selected mathematical problems sourced from high-level competition datasets, including AIME (1984–2023), AMC (pre-2023), Omni-MATH, and STILL. Achieving an impressive 43.1% accuracy on the AIME 2024 exam, DeepScaleR demonstrates a significant enhancement of around 14.3 percentage points compared to its base model, and it even outperforms the proprietary O1-Preview model, which is considerably larger. Additionally, it excels on a variety of mathematical benchmarks such as MATH-500, AMC 2023, Minerva Math, and OlympiadBench, indicating that smaller, optimized models fine-tuned with reinforcement learning can rival or surpass the capabilities of larger models in complex reasoning tasks. This advancement underscores the potential of efficient modeling approaches in the realm of mathematical problem-solving.
5

GLM-4.6V

Zhipu AI
Free

See Software

The GLM-4.6V is an advanced, open-source multimodal vision-language model that belongs to the Z.ai (GLM-V) family, specifically engineered for tasks involving reasoning, perception, and action. It is available in two configurations: a comprehensive version with 106 billion parameters suitable for cloud environments or high-performance computing clusters, and a streamlined “Flash” variant featuring 9 billion parameters, which is tailored for local implementation or scenarios requiring low latency. With a remarkable native context window that accommodates up to 128,000 tokens during its training phase, GLM-4.6V can effectively manage extensive documents or multimodal data inputs. One of its standout features is the built-in Function Calling capability, allowing the model to accept various forms of visual media — such as images, screenshots, and documents — as inputs directly, eliminating the need for manual text conversion. This functionality not only facilitates reasoning about the visual content but also enables the model to initiate tool calls, effectively merging visual perception with actionable results. The versatility of GLM-4.6V opens the door to a wide array of applications, including the generation of interleaved image-and-text content, which can seamlessly integrate document comprehension with text summarization or the creation of responses that include image annotations, thereby greatly enhancing user interaction and output quality.
6

GLM-4.1V

Zhipu AI
Free

See Software

GLM-4.1V is an advanced vision-language model that offers a robust and streamlined multimodal capability for reasoning and understanding across various forms of media, including images, text, and documents. The 9-billion-parameter version, known as GLM-4.1V-9B-Thinking, is developed on the foundation of GLM-4-9B and has been improved through a unique training approach that employs Reinforcement Learning with Curriculum Sampling (RLCS). This model accommodates a context window of 64k tokens and can process high-resolution inputs, supporting images up to 4K resolution with any aspect ratio, which allows it to tackle intricate tasks such as optical character recognition, image captioning, chart and document parsing, video analysis, scene comprehension, and GUI-agent workflows, including the interpretation of screenshots and recognition of UI elements. In benchmark tests conducted at the 10 B-parameter scale, GLM-4.1V-9B-Thinking demonstrated exceptional capabilities, achieving the highest performance on 23 out of 28 evaluated tasks. Its advancements signify a substantial leap forward in the integration of visual and textual data, setting a new standard for multimodal models in various applications.
7

GLM-4.5V-Flash

Zhipu AI
Free

See Software

GLM-4.5V-Flash is a vision-language model that is open source and specifically crafted to integrate robust multimodal functionalities into a compact and easily deployable framework. It accommodates various types of inputs including images, videos, documents, and graphical user interfaces, facilitating a range of tasks such as understanding scenes, parsing charts and documents, reading screens, and analyzing multiple images. In contrast to its larger counterparts, GLM-4.5V-Flash maintains a smaller footprint while still embodying essential visual language model features such as visual reasoning, video comprehension, handling GUI tasks, and parsing complex documents. This model can be utilized within “GUI agent” workflows, allowing it to interpret screenshots or desktop captures, identify icons or UI components, and assist with both automated desktop and web tasks. While it may not achieve the performance enhancements seen in the largest models, GLM-4.5V-Flash is highly adaptable for practical multimodal applications where efficiency, reduced resource requirements, and extensive modality support are key considerations. Its design ensures that users can harness powerful functionalities without sacrificing speed or accessibility.
8

GLM-4.5V

Zhipu AI
Free

See Software

GLM-4.5V is an evolution of the GLM-4.5-Air model, incorporating a Mixture-of-Experts (MoE) framework that boasts a remarkable total of 106 billion parameters, with 12 billion specifically dedicated to activation. This model stands out by delivering top-tier performance among open-source vision-language models (VLMs) of comparable scale, demonstrating exceptional capabilities across 42 public benchmarks in diverse contexts such as images, videos, documents, and GUI interactions. It offers an extensive array of multimodal functionalities, encompassing image reasoning tasks like scene understanding, spatial recognition, and multi-image analysis, alongside video comprehension tasks that include segmentation and event recognition. Furthermore, it excels in parsing complex charts and lengthy documents, facilitating GUI-agent workflows through tasks like screen reading and desktop automation, while also providing accurate visual grounding by locating objects and generating bounding boxes. Additionally, the introduction of a "Thinking Mode" switch enhances user experience by allowing the selection of either rapid responses or more thoughtful reasoning based on the situation at hand. This innovative feature makes GLM-4.5V not only versatile but also adaptable to various user needs.
9

Foxglove

Foxglove
$18 per month

See Software

Foxglove is a sophisticated platform designed specifically for the visualization, observability, and management of data in the robotics and embodied AI sectors, effectively centralizing various large and complex multimodal temporal datasets such as time series, sensor logs, imagery, lidar/point clouds, and geospatial maps within a unified workspace. It empowers engineers to efficiently record, import, organize, stream, and visualize both live and archived data from robotic systems through user-friendly, customizable dashboards that feature interactive panels for 3D scenes, plots, images, and maps, thereby enhancing the understanding of robotic perception, cognition, and actions. Furthermore, Foxglove facilitates real-time integration with systems like ROS and ROS 2 through bridges and web sockets, supports cross-platform operations (available as a desktop application for Linux, Windows, and macOS), and accelerates the processes of analysis, debugging, and performance enhancement by synchronizing disparate data sources in both time and spatial contexts. Additionally, its intuitive design and comprehensive functionalities make it an invaluable tool for researchers and developers alike, ensuring a streamlined workflow in the dynamic field of robotics.
10

MiniMax-M2.1

MiniMax
Free

See Software

MiniMax-M2.1 is a state-of-the-art open-source AI model built specifically for agent-based development and real-world automation. It focuses on delivering strong performance in coding, tool calling, and long-term task execution. Unlike closed models, MiniMax-M2.1 is fully transparent and can be deployed locally or integrated through APIs. The model excels in multilingual software engineering tasks and complex workflow automation. It demonstrates strong generalization across different agent frameworks and development environments. MiniMax-M2.1 supports advanced use cases such as autonomous coding, application building, and office task automation. Benchmarks show significant improvements over previous MiniMax versions. The model balances high reasoning ability with stability and control. Developers can fine-tune or extend it for specialized agent workflows. MiniMax-M2.1 empowers teams to build reliable AI agents without vendor lock-in.
11

Dafthunk

Dafthunk
Free

See Software

Dafthunk is an innovative platform designed for visual workflow automation, allowing users to create, manage, and implement serverless automation workflows effortlessly with a user-friendly drag-and-drop interface, eliminating the need for any infrastructure setup or container usage. The platform enables users to build workflows by visually linking nodes that execute various tasks involving AI, browser automation, data manipulation, media creation, integrations, and development tools, which are then processed on Cloudflare’s extensive global edge network, ensuring seamless scaling and reliable execution. It features a variety of workflow triggers, such as HTTP webhooks, queues, schedules based on cron, and options for manual initiation, facilitating automation that is responsive to events, time-sensitive, or initiated by users. The platform also offers persistent storage for workflow states and execution logs through Cloudflare's D1 and R2 storage services, ensuring data integrity and accessibility. Users can enhance their workflows by integrating AI models from well-known providers like OpenAI, Anthropic, Google, and Cloudflare AI, enabling capabilities in text generation, summarization, vision processing, natural language processing, transcription, image generation, and more. This comprehensive approach empowers users to streamline their processes and harness the full potential of automation technology.
12

Happy Coder

Happy Coder
Free

See Software

Happy, often referred to as Happy Coder, is a free and open-source client available for both mobile and web platforms, allowing users to create, observe, and manage multiple sessions of Claude Code AI coding agents across a variety of devices including phones, tablets, laptops, and desktops, all while ensuring real-time synchronization through an encrypted relay system that enables users to continue their work on different devices without any loss of context. This system features three interconnected components: a locally running CLI program that launches and oversees the Claude Code sessions, a mobile or web application that securely connects to the CLI via end-to-end encryption to protect user data from being accessed by anyone, even the relay server, and a relay server that merely transmits encrypted data between devices without accessing the information itself; this architecture allows developers to use their preferred tools, editors, and workflows while integrating remote control functionalities effortlessly. Additionally, the seamless transition between devices promotes enhanced productivity and flexibility for users engaged in coding tasks.
13

Nani Translate

Nani
$8 per month

See Software

Nani Translate is an innovative translation tool powered by AI, designed to provide fast and accurate language translations that incorporate context, detailed explanations, and example sentences, offering a more immersive experience akin to conversing with a native speaker rather than relying on a basic dictionary or rudimentary translation service. This tool presents users with various translation alternatives for a single input, accompanied by nuanced insights that illustrate how to convey the same idea in different tones or contexts, all while maintaining a user-friendly interface that allows for quick text or image translations directly within a browser, eliminating the need for registration or a complicated setup process. Additionally, Nani’s advanced AI adeptly navigates slang and idiomatic expressions, includes features like pronunciation playback and guided usage examples, and educates users on the stylistic distinctions between casual and formal language, transforming each translation into both a practical resource and a valuable learning opportunity. With these capabilities, users can enhance their linguistic skills while obtaining accurate translations tailored to their specific needs.
14

FastMCP

fastmcp
Free

See Software

FastMCP is a Python-based open-source framework designed to facilitate the development of Model Context Protocol (MCP) applications, simplifying the creation, management, and interaction with MCP servers while managing the complexities of the protocol so that developers can concentrate on their core business logic. The Model Context Protocol (MCP) serves as a standardized method for enabling large language models to connect securely with tools, data, and services, and FastMCP offers a streamlined API that allows for easy implementation of this protocol with minimal boilerplate code by utilizing Python decorators for registering tools, resources, and prompts. To set up a typical FastMCP server, one would instantiate a FastMCP object, use decorators to mark Python functions as tools (which can be invoked by the LLM), and then launch the server with various built-in transport options such as stdio or HTTP; this setup enables AI clients to interact with your code seamlessly as if it were integrated into the model’s context. Additionally, FastMCP’s design promotes efficient development practices, allowing teams to quickly iterate on their applications while maintaining high standards of code quality and performance.
15

NeuraVision

NeuraVision
$29 per month

See Software

NeuraVision is an innovative platform that leverages artificial intelligence for the generation and editing of visual content, utilizing sophisticated neural networks to assist users in swiftly creating professional-grade images and high-definition videos from text descriptions. The platform enables video production at an impressive 8K resolution for durations of up to 60 seconds, allowing creators to craft multi-scene narratives with a cinematic quality that competes with conventional studio productions. Furthermore, it features a comprehensive post-production toolkit that facilitates segment editing, object replacement, clip merging, and adjustments to style, camera movement, color, and lighting, all within a single cohesive workflow. By integrating video generation, editing, and cinematic post-production, NeuraVision empowers users to seamlessly transition from initial concept to completed content without the need for multiple tools, making it ideal for various applications such as marketing materials, short films, visual effects, and promotional content. This streamlined approach not only enhances productivity but also fosters creativity, enabling creators to focus more on their artistic vision.
16

Pencil

Pencil
Free

See Software

Pencil.dev is an innovative design-in-code platform that utilizes AI to seamlessly integrate visual interface design within development environments such as Cursor, VS Code, and various other IDEs, allowing designers and developers to collaborate without the need for tool handoffs. Centered around an agent-driven Model Context Protocol (MCP) canvas and an accessible design format embedded in your codebase, Pencil enables users to create, refine, and produce pixel-perfect UI screens with the aid of AI, all while maintaining version control in Git alongside their source code, which facilitates branches, merges, and rollbacks akin to traditional coding practices. By incorporating a Figma-like canvas directly into the IDE, it significantly reduces the hassle of switching between different tools, supports the import of frames and assets from Figma while preserving vectors and styles, and allows for manipulation of design elements through intuitive editing panels, layers, and CSS-like properties. Furthermore, AI models assist in the simultaneous generation of screens, flows, and components, enhancing productivity and creativity in the design process. This integration fosters a more cohesive workflow, making it easier for teams to innovate and iterate on their projects efficiently.
17

Zo

Zo Computer
$18/month

See Software

Zo is an AI-powered cloud computer that goes beyond a traditional assistant to actively execute tasks for you. It operates continuously, handling inbox management, meeting scheduling, research, and automation even while you sleep. Zo provides a fully integrated environment where your data, tools, and AI models work together seamlessly. Under the hood, it’s a customizable Linux server that can host websites, APIs, and self-hosted tools on demand. Users can choose from leading AI models or bring their own API keys for maximum flexibility. Zo is accessible via app or text, making powerful automation simple and intuitive. It transforms AI from a passive interface into an active, always-working system. The result is a personal operating system designed around your needs. Zo adapts, builds, and scales as you use it more.
18

Composer 1

Cursor
$20 per month

See Software

Composer is an AI model crafted by Cursor, specifically tailored for software engineering functions, and it offers rapid, interactive coding support within the Cursor IDE, an enhanced version of a VS Code-based editor that incorporates smart automation features. This model employs a mixture-of-experts approach and utilizes reinforcement learning (RL) to tackle real-world coding challenges found in extensive codebases, enabling it to deliver swift, contextually aware responses ranging from code modifications and planning to insights that grasp project frameworks, tools, and conventions, achieving generation speeds approximately four times faster than its contemporaries in performance assessments. Designed with a focus on development processes, Composer utilizes long-context comprehension, semantic search capabilities, and restricted tool access (such as file editing and terminal interactions) to effectively address intricate engineering inquiries with practical and efficient solutions. Its unique architecture allows it to adapt to various programming environments, ensuring that users receive tailored assistance suited to their specific coding needs.
19

Kimi Code CLI

Moonshot AI
Free

See Software

Kimi Code CLI serves as an AI-driven command-line tool designed to aid developers in software creation and terminal tasks by interpreting and altering code, executing shell commands, retrieving web content, autonomously strategizing and modifying actions during processes, and offering an interactive shell environment where users can articulate their requirements in everyday language or switch to command mode for direct input; it seamlessly integrates with IDEs and local agent clients through the Agent Client Protocol, enhancing workflows and streamlining activities like code writing, bug fixing, project exploration, addressing architectural queries, and automating batch processes or build and test scripts. The installation process involves running a script that sets up the essential tool manager before downloading the Kimi CLI package, after which users can confirm installation with a version check and proceed to configure an API source for optimal functionality. Additionally, the Kimi Code CLI not only enhances productivity but also fosters a more intuitive interaction between developers and their coding environment.
20

Mozenda

Mozenda

See Software

Mozenda, a powerful data extraction tool, allows businesses to collect data from multiple sources and turn it into wisdom and action. The platform automatically identifies data lists, captures name-value pairs lists, captures data in complex table structures, among other things. It also provides a wide range of features, including error handling, scheduling, notifications, publishing, exporting, premium harvesting and history tracking.
21

iCONECT

iCONECT Development

See Software

iCONECT introduces v10 it’s award-winning eDiscovery review platform. Packed with new features including CAL, built-in processing, multi-media handling and auto-identification/redaction of PII, the platform looks to meet and exceed industry demands as firms look over the horizon toward new technology to enhance their eDiscovery review strategies.
22

ProcessMaker

ProcessMaker
$1,500 per month

See Software

ProcessMaker serves as an open-source solution for business process management (BPM) and workflow management. With its easy-to-navigate drag-and-drop interface, it empowers users to enhance their operational efficiency while creating, executing, analyzing, and refining business processes. For those seeking a robust, production-ready BPM platform that supports multiple languages, ProcessMaker is an excellent choice. Key functionalities encompass a Rest API, a versatile form designer, fundamental dashboards, a document output builder, user portals, a cases inbox, and management tools for users, among various other features. This comprehensive set of tools makes it an ideal option for organizations aiming to streamline their workflows.
23

Adlib

Adlib Software

See Software

Adlib is a robotic process automation solution designed to help businesses in finance, petroleum, energy, manufacturing, government, and other sectors automatically discover and classify documents from multiple unstructured sources to create clean structured data. Managers can recognize duplicate files, personally identifiable information (PII), and signatures during data extraction processes. The platform enables teams to convert documents from 300+ formats into searchable and auditable PDFs on a unified interface. Adlib offers industry-leading optical character recognition (OCR) functionality, allowing teams to transform JPG, vector files, charts, CAD drawings, and other image files into PDFs. Businesses can also include auto-generated dynamic tables of contents, hyperlinks, watermarks, and headers or footers to automate document assembly operations. Adlib lets team leaders manage the redaction of content in accordance with data privacy, General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), Brexit, International Financial Reporting Standard (IFRS 17), and other compliance standards. Employees can also utilize the AI-enabled solution to validate classification tags and export documents.
24

DocAgent

Digital Designs

See Software

DocAgent™ serves as the document management portal and foundational software platform for Digital Designs. Utilizing a .NET framework, it efficiently manages coordination, establishes customer-specific rules, and facilitates communication among various solution modules such as AP Invoice Automation, Electronic Payments, Payroll Management, and Data Capture, among others. Its functionalities extend beyond mere module integration; DocAgent™ seamlessly connects with essential applications operating on IBM AS-400/I Series, including INFOR, Infinium, JD Edwards, and MS Dynamics. By leveraging the solutions offered by DocAgent™, businesses can significantly enhance their operational efficiency for the future. Additionally, this platform enables cost reduction, improved oversight, expedited payment processes, increased flexibility, and can result in annual savings amounting to millions of dollars. You can select from one of the available DocAgent™ Suites below or customize your options to perfectly align with your business objectives. Furthermore, this adaptability ensures that companies can stay ahead in a rapidly changing market landscape.
25

P4

Perforce

See Software

P4 (formerly Helix Core) is a high-performance version control system that provides robust capabilities for managing code, assets, and files across global development teams. It supports large-scale projects, enabling seamless collaboration and version tracking for both code and non-code assets, including 3D models and media files. Designed for industries with complex workflows, such as gaming, automotive, and software development, P4 offers unmatched scalability, security, and speed. The platform integrates easily with development tools, providing a comprehensive solution for teams seeking efficient version control across all stages of the development lifecycle.