Find and compare the best Artificial Intelligence software for Devin Desktop in 2026
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Use the comparison tool below to compare the top Artificial Intelligence software for Devin Desktop on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.
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mantle AI
mantle AI
FreeMantle AI is an innovative platform built for the AI-driven automation of back-office functions, seamlessly integrating a company's current tools into a cohesive intelligent framework where autonomous agents can comprehend context and carry out tasks efficiently. This platform connects directly with various systems, including CRM, email, calendar, payment solutions, and product analytics, establishing a unified data layer that eliminates the need for complex setups or data migrations. Users can effortlessly create internal AI agents using a straightforward prompt, articulating their objectives in simple language while the platform manages the execution logic intelligently. These agents possess the capability to operate continuously in the background, respond to real-time events, adhere to pre-set schedules, or engage interactively when necessary, facilitating workflows such as automated reporting, monitoring customer health, conducting pre-meeting research, and drafting contextual emails. By prioritizing adaptability over rigid systems, Mantle AI enables agents to function similarly to human operators, retrieving information from multiple sources as needed, thereby enhancing operational efficiency. The result is a more streamlined approach to back-office tasks that empowers organizations to focus on strategic initiatives rather than mundane processes. -
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GPT-5.5 Pro
OpenAI
$30 per 1M tokens (input)GPT-5.5 Pro is a next-generation AI model built for execution-heavy tasks across coding, research, business analysis, and scientific workflows. It can interpret complex instructions, break them into steps, and carry work through to completion using tools and automation. The model supports tasks such as generating documents, building applications, analyzing datasets, and navigating software environments. It is designed to operate across tools, enabling seamless workflows from idea to output. In addition, GPT-5.5 Pro integrates with workspace agents—customizable AI agents that automate recurring and multi-step processes across teams. These agents can handle tasks like lead research, reporting, and workflow automation, running independently or on schedules. Built with enterprise-grade safeguards, the model ensures secure and controlled automation. It helps organizations improve productivity by reducing manual effort and accelerating decision-making. GPT-5.5 Pro is ideal for teams looking to scale operations and handle complex workloads efficiently. -
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Noteweave
Noteweave
$18.99 per monthNoteweave is an advanced platform designed to assist teams in transitioning from research to actionable production strategies. Its primary function is to rigorously evaluate scientific studies, convert academic papers into confirmed experiments, and accelerate research and development processes from a research-centric environment. The Deep Analysis feature critically assesses methodologies, evaluations, and their reliability, ensuring that potential failure points are identified before reaching production stages. This proactive approach aids teams in uncovering production inconsistencies in academic literature, identifying overlooked evaluations, establishing discrepancies, and spotting misleading trends in robustness more effectively. Users can explore and search through millions of academic papers, datasets, and code repositories, synthesizing this information into executable production plans backed by verifiable evidence. Additionally, Noteweave empowers users to unearth pertinent research insights from over 3 million publications in AI and machine learning, optimize their production strategies concerning constraints like GPU usage, transform theoretical academic methods into reproducible procedures, and enhance the reliability of their evaluation strategies. By integrating these capabilities, Noteweave significantly boosts the efficiency and accuracy of research application in real-world scenarios. -
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Ornold
Ornold
$29 per monthOrnold serves as an MCP server that facilitates AI-driven browser automation, allowing AI agents to gain comprehensive control over anti-detect browsers via an open protocol. This platform is specifically designed for large-scale browser automation and integrates features like vision-centric interactions, automatic CAPTCHA resolution, simultaneous multi-browser operations, human-like behavior, and tools for recovery, all within a unified system. Unlike traditional methods that depend on fragile CSS selectors or XPath, Ornold employs a vision mode that takes screenshots and analyzes web pages similarly to a human, accurately identifying interactive elements with pixel-precise coordinates and executing clicks based on normalized coordinates, thereby enhancing the automation's robustness amid layout changes. It interfaces with browser profiles using the Chrome DevTools Protocol and is compatible with various anti-detect browsers, including Dolphin Anty, Octo Browser, Linken Sphere, AdsPower, Multilogin, GoLogin, Incogniton, Vision, Undetectable, MoreLogin, Indigo, and any browser that supports CDP. Furthermore, Ornold's innovative approach positions it as a versatile solution in the realm of automated web interactions, making it an essential tool for developers seeking efficiency and reliability in their automation tasks. -
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claude-mem
cmem.ai
Freeclaude-mem serves as an offline-first cloud memory solution for AI agents, centered around an open source engine along with a cloud synchronization layer that connects agent memories universally through a single private MCP link. Its design ensures that coding agents and AI assistants do not begin from scratch in each session, regardless of the machine or editor in use. As agents work, claude-mem efficiently records notes that encapsulate decisions, solutions, obstacles, environmental insights, architectural choices, and a variety of structured observations within a temporal database. The CMEM Cloud then replicates this local memory through a private Model Context Protocol endpoint, enabling any compatible agent or integrated development environment to access and modify the same memory across various platforms such as Claude Code, Cursor, Windsurf, OpenCode, Codex CLI, Gemini CLI, and VS Code. Operating primarily in a local setting, it maintains functionality whether or not a network connection is available, and ensures that memory is kept in sync whenever cloud access is present. This innovative approach enhances the continuity of AI interactions, facilitating a smoother experience for developers and users alike. -
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CMEM Cloud
cmem.ai
FreeCMEM Cloud serves as the synchronization layer for claude-mem, designed to connect AI agent memory universally via a single private MCP link. The open-source engine, claude-mem, records notes while an agent performs tasks, while CMEM Cloud replicates that local memory, enabling agents to access it seamlessly across different sessions, devices, editors, and any MCP-compatible client. This innovative system eliminates the need for users to repetitively clarify context, copy previous notes, or start from scratch by automatically logging decisions, bug fixes, dead ends, environmental observations, architectural decisions, and other structured insights as the agent operates. These valuable insights are preserved in a temporal database, allowing for meaning-based searches through vector recall, and are accessible via a private MCP endpoint that any compatible agent can utilize for reading and writing. The process initiates with the installation of the local engine, followed by allowing a secondary model to generate structured notes independently, syncing the local database with CMEM Cloud, and finally enabling memory recall from any location. This approach not only enhances efficiency but also fosters a more collaborative environment among agents by sharing insights effortlessly. -
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Ejentum
Ejentum
€25 per monthEjentum serves as a structured reasoning framework tailored for agentic AI, enhancing the reliability, auditability, and discipline of LLM agents during intricate or protracted tasks. This innovative tool can be invoked by agents mid-task, facilitating precise cognitive operations tailored to the specific challenges they face, allowing for real-time corrections in reasoning rather than depending solely on static prompts. Designed to prevent AI agents from deviating, flattering, fabricating, or fixating on incorrect hypotheses, Ejentum also ensures they don’t settle for superficial answers or lose vital context over successive steps. The framework boasts 679 capabilities organized into four cognitive harnesses: reasoning, code, anti-deception, and memory. Within the reasoning harness, analytical capabilities are directed towards understanding causality, time, space, simulation, abstraction, and metacognition, which aids agents in steering clear of merely recognizing surface patterns. By integrating these diverse functionalities, Ejentum empowers AI to maintain a deeper engagement with tasks, ultimately enhancing the quality of their outputs. -
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Gemini 3.5 Flash-Lite
Google
$0.30 per 1M input tokensGemini 3.5 Flash-Lite stands out as the quickest model within Google's Gemini 3.5 lineup, specifically engineered for tasks requiring low latency and for enhancing developer workflows that demand high throughput, including agentic search, document processing, coding, and extensive data analysis. It boasts an impressive output capacity of 350 tokens per second and marks a significant enhancement over earlier Flash-Lite iterations in terms of both quality and agentic capabilities. Developers have the flexibility to adjust the model's thinking level to suit the demands of the task at hand: minimal or low thinking allows for rapid processing of large volumes, while elevated thinking levels accommodate more intricate, multi-step workflows involving subagents. Furthermore, the model is equipped with built-in computational skills, enabling it to interact effectively with various digital environments across compatible platforms. Additionally, Gemini 3.5 Flash-Lite excels in coding, comprehending long contexts, and executing real-world tasks, consistently outperforming its predecessor, Gemini 3.1 Flash-Lite, in critical assessments and even exceeding the performance of Gemini 3 Flash on multiple benchmarks related to agentic functions and software engineering. This impressive performance highlights its potential to transform how developers approach complex workflows and data-intensive tasks. -
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Maguyva
Maguyva
$19 per monthMaguyva is an innovative agent-first code intelligence system that provides AI coding tools with a prioritized map of a repository even before any modifications are made. Teams integrate their GitHub repositories, while cloud pipelines effectively parse, rank, and index various elements such as symbols, dependencies, imports, semantic relationships, and cross-file structures, ensuring that the index remains up-to-date as code evolves. With a single remote MCP integration, agents within platforms like Claude Code, Cursor, VS Code, Windsurf, Codex, Gemini CLI, and other compatible clients can access a shared grounded context without the need for a local indexer or altering their preferred editors. The system's 11 MCP tools utilize a combination of semantic, structural, graph, and text retrieval across five different search modalities, delivering ranked results rather than just raw grep output. Users can pose questions in plain language, pinpoint crucial symbols, identify patterns with AST-aware searches, trace dependencies, detect orphaned code, evaluate the impact of changes, and compile task context prior to engaging with a file, enhancing overall productivity and collaboration within development teams. This streamlined process not only simplifies coding tasks but also fosters better team communication and efficiency. -
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Holo4
H Company
$0.40 per 1M tokens (input)Holo4 is H Company's series of generalist computer-use and agentic AI models built to perform multi-step work across software interfaces. It is available as Holo4 27B, a dense 27-billion-parameter model, and Holo4 35B-A3B, a Mixture-of-Experts model containing 35 billion total parameters with 3 billion active. Holo4 can interact with applications by clicking and typing through graphical interfaces, writing and executing code, or calling MCP and API tools. The same model can operate across desktops, websites, Android devices, code sandboxes, and business APIs without requiring developers to select a separate specialized model for each environment. H Company trained Holo4 using 127 billion supervised fine-tuning tokens, with approximately three-quarters consisting of successful agentic trajectories spanning desktop, web, MCP/API, and mobile tasks. Reinforcement learning then trained separate experts for desktop and web interaction and for terminal, MCP, and API work before merging them into a single model. Holo4 27B scored 85.2% on OSWorld, 61.7% on OSWorld 2.0, 45.4% on AutomationBench, and 85.1% on AndroidWorld in the evaluations reported by H Company. The models support a 256K context window, with the 27B model positioned for greater accuracy on long multi-step tasks and the 35B-A3B version positioned as a faster and less expensive alternative. Holo4 is available through a hosted API and downloadable model weights, enabling developers and enterprises to build agents that perform workflows spanning multiple applications and interaction methods. -
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CLion
JetBrains
$8.90 per monthWho wouldn't want to write code at the speed of their thoughts while their integrated development environment (IDE) handles all the tedious tasks? But is such a feat achievable with a complex programming language like C++, especially considering its modern features and intricate templated libraries? The answer is a resounding yes! Witness it for yourself. Instantly create vast amounts of boilerplate code, easily override and implement functions with just a few keystrokes. You can swiftly generate constructors, destructors, getters, setters, and various operators like equality, relational, and stream output. Effortlessly wrap code blocks in statements or generate declarations from their usage. With the ability to craft custom live templates, you can efficiently reuse standard code snippets throughout your projects, saving time and ensuring a cohesive coding style. Additionally, you can rename symbols, inline functions, variables, or macros, reorganize members within the hierarchy, modify function signatures, and extract functions, variables, parameters, or typedefs with ease. With these capabilities at your fingertips, coding becomes not only faster but also significantly more enjoyable. -
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JetBrains DataSpell
JetBrains
$229Easily switch between command and editor modes using just one keystroke while navigating through cells with arrow keys. Take advantage of all standard Jupyter shortcuts for a smoother experience. Experience fully interactive outputs positioned directly beneath the cell for enhanced visibility. When working within code cells, benefit from intelligent code suggestions, real-time error detection, quick-fix options, streamlined navigation, and many additional features. You can operate with local Jupyter notebooks or effortlessly connect to remote Jupyter, JupyterHub, or JupyterLab servers directly within the IDE. Execute Python scripts or any expressions interactively in a Python Console, observing outputs and variable states as they happen. Split your Python scripts into code cells using the #%% separator, allowing you to execute them one at a time like in a Jupyter notebook. Additionally, explore DataFrames and visual representations in situ through interactive controls, all while enjoying support for a wide range of popular Python scientific libraries, including Plotly, Bokeh, Altair, ipywidgets, and many others, for a comprehensive data analysis experience. This integration allows for a more efficient workflow and enhances productivity while coding. -
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Windsurf Browser
Windsurf
FreeThe Windsurf Browser is a specialized Chromium-based browser that integrates artificial intelligence to help developers maintain a high level of productivity by keeping them in a flow state. It uniquely tracks the developer’s open tabs and contextualizes browser activity alongside other development surfaces like the IDE and terminal. This eliminates the traditional need to copy URLs or content for AI processing, as the AI model SWE-1 can directly access browser content and logs. By capturing a complete timeline of developer actions across all surfaces, the browser enables a shared awareness between the human user and the AI, allowing the AI to eventually automate repetitive tasks. Currently available in beta for self-serve plans, the browser combines standard browsing capabilities with powerful AI integrations, supporting tasks such as debugging, web search, and documentation review. This shared timeline approach builds on previous Waves of Windsurf's development, improving the AI’s ability to assist with real-time context and history. As the product evolves, it will also allow the AI to take conditional actions in the browser based on all past interactions, further automating developer workflows. The Windsurf Browser is a significant step towards creating a truly collaborative AI-assisted development environment. -
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Traycer
Traycer AI
FreeTraycer is a cutting-edge AI-powered tool that revolutionizes software development by emphasizing planning before coding through spec-driven development. It transforms high-level objectives into structured, coherent plans that can be iterated upon and refined to ensure alignment with the actual codebase. Developers can spin up multiple parallel agents to work concurrently, significantly accelerating complex projects. Traycer integrates with major AI coding assistants such as Claude Code, Windsurf, and Cursor, enabling users to plan in Traycer and execute code generation in their preferred tools seamlessly. The platform is highly regarded by engineers and technical founders for handling intricate tasks, improving understanding, and maintaining robust code quality. Pricing options include a free tier suitable for hobbyists and scalable paid plans with increased capacity and enhanced features. Traycer also offers a 14-day pro trial for users to experience the full capabilities of the platform. With SOC2 Type 2 certification and GDPR compliance, Traycer ensures data security and privacy. -
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GPT‑5-Codex
OpenAI
GPT-5-Codex is an enhanced iteration of GPT-5 specifically tailored for agentic coding within Codex, targeting practical software engineering activities such as constructing complete projects from the ground up, incorporating features and tests, debugging, executing large-scale refactors, and performing code reviews. The latest version of Codex operates with greater speed and reliability, delivering improved real-time performance across diverse development environments, including terminal/CLI, IDE extensions, web platforms, GitHub, and even mobile applications. For cloud-related tasks and code evaluations, GPT-5-Codex is set as the default model; however, developers have the option to utilize it locally through Codex CLI or IDE extensions. It intelligently varies the amount of “reasoning time” it dedicates based on the complexity of the task at hand, ensuring quick responses for small, clearly defined tasks while dedicating more effort to intricate ones like refactors and substantial feature implementations. Additionally, the enhanced code review capabilities help in identifying critical bugs prior to deployment, making the software development process more robust and reliable. With these advancements, developers can expect a more efficient workflow, ultimately leading to higher-quality software outcomes. -
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GPT-5.1-Codex-Max
OpenAI
The GPT-5.1-Codex-Max represents the most advanced version within the GPT-5.1-Codex lineup, specifically tailored for software development and complex coding tasks. It enhances the foundational GPT-5.1 framework by emphasizing extended objectives like comprehensive project creation, significant refactoring efforts, and independent management of bugs and testing processes. This model incorporates adaptive reasoning capabilities, allowing it to allocate computational resources more efficiently based on the complexity of the tasks at hand, ultimately enhancing both performance and the quality of its outputs. Furthermore, it facilitates the use of various tools, including integrated development environments, version control systems, and continuous integration/continuous deployment (CI/CD) pipelines, while providing superior precision in areas such as code reviews, debugging, and autonomous operations compared to more general models. In addition to Max, other lighter variants like Codex-Mini cater to budget-conscious or scalable application scenarios. The entire GPT-5.1-Codex suite is accessible through developer previews and integrations, such as those offered by GitHub Copilot, making it a versatile choice for developers. This extensive range of options ensures that users can select a model that best fits their specific needs and project requirements. -
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SWE-1.6
Cognition
SWE-1.6 is a cutting-edge AI model focused on engineering, created by Cognition and embedded within the Windsurf environment, with the goal of enhancing both the raw intelligence and what Cognition refers to as “model UX,” which encompasses the overall user interaction experience with the AI. This latest version marks a significant upgrade in the SWE model series, boasting a performance increase of over 10% on benchmarks like SWE-Bench Pro when compared to its predecessor, SWE-1.5, all while retaining similar foundational capabilities. Developed from the ground up, it aims to elevate both reasoning quality and user satisfaction, effectively tackling challenges identified in previous iterations, such as overanalyzing straightforward questions, excessive steps in problem-solving, repetitive reasoning loops, and an overreliance on terminal commands rather than utilizing specialized tools. The enhancements introduced in SWE-1.6 include improved behaviors such as a greater frequency of simultaneous tool usage, quicker context retrieval, and a diminished necessity for user input, leading to more fluid and productive workflows. In addition, these refinements contribute to a more intuitive interaction for users, ensuring that tasks can be completed with greater ease and efficiency than ever before. -
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SWE-1
Cognition
Windsurf’s SWE-1 family introduces a revolutionary approach to software engineering, combining AI-driven insights and a shared timeline model to improve every stage of the development process. The SWE-1 models—SWE-1, SWE-1-lite, and SWE-1-mini—extend beyond simple code generation by enhancing tasks like testing, user feedback analysis, and long-running task management. Built from the ground up with flow awareness, SWE-1 is designed to tackle incomplete states and ambiguous outcomes, pushing the boundaries of what AI can achieve in the software engineering field. Backed by performance benchmarks and real-world production experiments, SWE-1 is the next frontier for efficient software development. -
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OpenAI o4-mini-high
OpenAI
Designed for power users, OpenAI o4-mini-high is the go-to model when you need the best balance of performance and cost-efficiency. With its improved reasoning abilities, o4-mini-high excels in high-volume tasks that require advanced data analysis, algorithm optimization, and multi-step reasoning. It's ideal for businesses or developers who need to scale their AI solutions without sacrificing speed or accuracy. -
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SchemaFlow
SchemaFlow
SchemaFlow is an innovative tool aimed at advancing AI-driven development by granting real-time access to PostgreSQL database schemas through the Model Context Protocol (MCP). It empowers developers to link their databases, visualize schema layouts using interactive diagrams, and export schemas in multiple formats including JSON, Markdown, SQL, and Mermaid. Featuring native MCP support via Server-Sent Events (SSE), SchemaFlow facilitates smooth integration with AI-Integrated Development Environments (AI-IDEs) such as Cursor, Windsurf, and VS Code, thereby ensuring that AI assistants are equipped with the latest schema data for precise code generation. Furthermore, it includes secure token-based authentication for MCP connections, automatic schema updates to keep AI assistants aware of modifications, and a user-friendly schema browser for effortless exploration of tables and their interrelations. By providing these features, SchemaFlow significantly enhances the efficiency of development processes while ensuring that AI tools operate with the most current database information available. -
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Claude Opus 4.1
Anthropic
Claude Opus 4.1 represents a notable incremental enhancement over its predecessor, Claude Opus 4, designed to elevate coding, agentic reasoning, and data-analysis capabilities while maintaining the same level of deployment complexity. This version boosts coding accuracy to an impressive 74.5 percent on SWE-bench Verified and enhances the depth of research and detailed tracking for agentic search tasks. Furthermore, GitHub has reported significant advancements in multi-file code refactoring, and Rakuten Group emphasizes its ability to accurately identify precise corrections within extensive codebases without introducing any bugs. Independent benchmarks indicate that junior developer test performance has improved by approximately one standard deviation compared to Opus 4, reflecting substantial progress consistent with previous Claude releases. -
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Solid
Solid
Solid serves as a comprehensive app builder powered by AI, allowing users of all skill levels to effortlessly create, personalize, and launch fully functional web applications with the same ease as producing a TikTok video. In contrast to simpler tools like Lovable or Base44 that merely offer superficial front-end appearances, Solid provides a thorough and adaptable codebase, featuring a Node.js backend integrated with Prisma ORM, a React + TypeScript frontend, and a well-connected database that mimics the capabilities utilized by professional developers. Users can easily import projects made with Lovable or Base44, transforming these basic applications into strong, scalable, and transferable solutions. Solid prioritizes extensive customization, granting users full ownership over every component, including frontend, backend, and data, enabling the effortless addition of intricate business logic, REST or GraphQL APIs, and various integrations. It produces high-quality, easily inspectable code that can be deployed across multiple platforms, whether on Solid’s own service or on your chosen cloud environment, ensuring freedom from vendor lock-in. Furthermore, Solid's user-friendly interface empowers users to explore their creativity while maintaining control over their projects, making it an ideal choice for innovative app development. -
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GPT-5-Codex-Mini
OpenAI
GPT-5-Codex-Mini provides a more resource-efficient way to code, allowing approximately four times the usage compared to GPT-5-Codex while maintaining dependable functionality for most development needs. It performs exceptionally well for straightforward coding, automation, and maintenance tasks where full-scale model power isn’t required. Integrated into the CLI and IDE extension via ChatGPT sign-in, it’s designed for accessibility and convenience across environments. When users approach 90% of their rate limits, the system proactively recommends switching to the Mini model to ensure continuous workflow. ChatGPT Plus, Business, and Edu accounts enjoy 50% higher rate limits, giving developers more capacity for sustained sessions. Pro and Enterprise plans gain priority processing, making response times noticeably faster during peak usage. The overall system architecture has been optimized for GPU efficiency, contributing to higher throughput and reduced latency. Together, these refinements make Codex more versatile and reliable for both individual and professional programming work. -
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GPT-5.2-Codex
OpenAI
GPT-5.2-Codex is a next-generation coding model created to support advanced, agent-driven software development. Built on the GPT-5.2 architecture, it is fine-tuned specifically for real-world engineering tasks. The model excels at working across large codebases while preserving context over long sessions. It handles complex refactors, migrations, and multi-step implementations more reliably than previous Codex models. GPT-5.2-Codex demonstrates top-tier performance in realistic terminal environments. Enhanced tool-calling and improved factual accuracy make it suitable for production workflows. The model is also significantly stronger in cybersecurity-related tasks. It can assist with vulnerability research and defensive security analysis. GPT-5.2-Codex includes safeguards designed to support responsible deployment. It represents a major advancement in professional-grade coding AI. -
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GPT-5.3-Codex
OpenAI
GPT-5.3-Codex is a next-generation AI agent built to expand Codex beyond code writing into full-spectrum professional execution. It unifies advanced coding intelligence with reasoning, planning, and computer-use capabilities. The model delivers faster performance while handling more complex workflows across development environments. GPT-5.3-Codex can autonomously iterate on large projects while remaining interactive and steerable. It supports tasks such as debugging, deployment, performance optimization, and system monitoring. The model demonstrates state-of-the-art results across real-world coding benchmarks. It also excels at web development, generating production-ready applications from minimal prompts. GPT-5.3-Codex understands intent more effectively, producing stronger default designs and functionality. Its agentic nature allows it to operate like a collaborative teammate. This makes it suitable for both individual developers and large teams.
