Best Artificial Intelligence Software for Linux - Page 19
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Compare the Top Artificial Intelligence Software for Linux as of July 2026 - Page 19
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1
Amical
Amical
Amical is an open source, AI-powered desktop dictation and note-taking application that enables users to dictate hands-free, transcribe meetings, and capture notes effortlessly with unmatched speed, accuracy, and privacy. It leverages both local and cloud-based AI models, letting users seamlessly switch between providers for the ideal balance of speed, precision, and control, and understands the context of each app in use to automatically format text in a tone and style appropriate to the platform. Users can enhance transcription accuracy with custom vocabulary tailored to industry jargon, proper nouns, and personal terms, and set up personalized voice shortcuts to trigger workflows or dictate across applications. Amical supports multilingual dictation with over 50 languages at native-level accuracy. Its features include a floating desktop widget for easy access, voice-activated commands, custom hotkeys, transcription history, and more.Starting Price: Free -
2
Parlant
Parlant
Parlant is a production-ready, open source framework for building compliant AI chat agents that reliably follow instructions and scale with complexity. It enables developers to create adaptive, iterative, and explainable conversational agents using natural-language behavior modeling, including guidelines, journeys, canned responses, retrievers, glossaries, and tools, all versionable via Git. Its guidelines let you nudge agent behavior contextually and precisely, while journeys define multi-step interaction flows; canned responses ensure consistency in high-risk scenarios; and explainability tools provide clear visibility into why each decision was made. Tools require matching guidelines to execute, cleanly separating business logic from conversation behavior, enabling developers and business experts to collaborate independently. Built-in features like session persistence, tool result tracking across sessions, and a drop-in React chat widget make it easy to install.Starting Price: Free -
3
Crush
Charm
Crush is a glamorous AI coding agent that lives right in your terminal, seamlessly connecting your tools, code, and workflows with any Large Language Model (LLM) of your choice. It offers multi-model flexibility, letting you choose from a variety of LLMs or add your own using OpenAI or Anthropic-compatible APIs, and supports mid-session switching between them while preserving context. Crush is session-based, enabling multiple project-specific contexts to coexist. Powered by Language Server Protocol (LSP) enhancements, it incorporates coding-aware context just like a developer’s editor. It's highly extensible via Model Context Protocol (MCP) plugins using HTTP, stdio, or SSE for added capabilities. Crush runs anywhere, leveraging Charm’s sleek Bubble Tea-based TUI for a polished terminal user experience. Written in Go and MIT-licensed (with FSL-1.1 for trademarks), enabling developers to stay in their terminal while taking advantage of expressive AI coding assistance.Starting Price: Free -
4
Business Pulse
Business Pulse
Business Pulse is an AI-powered chat-based business intelligence platform that offers quick insights about businesses through chat and transforms the way businesses make decisions. It enables business users to ask questions in plain English and receive real-time, actionable insights without the need of complex dashboards or lengthy reports. Features Include: 1. Natural Language Data Chat 2. Trainable, Context-Aware AI 3. Transparent, Self-Service Analytics 4. Exportable Insights 5. Customizable Onboarding & Setup 6. Secure, Compliant Data Handling 7. Wide Data Source Support Benefits: 1. Quick Business Insights for Everyone 2. Faster, Smarter Decisions 3. Save Data Team Resources 4. Customizable to Fit Any Business 5. Enterprise-Ready from Day One Who Is It for? 1. Business Decision-Makers 2. Non-Technical Teams 3. Data Analysts & Engineers 4. Consultants & Agencies 5. Enterprise IT & BI TeamsStarting Price: $99/user/month -
5
ProfileSpider
ProfileSpider
ProfileSpider is the ultimate AI-powered browser extension for effortlessly saving, organizing, and exporting profiles from any website with just one click. No coding or setup required—ProfileSpider’s intelligent engine understands any site structure, instantly capturing single or multiple profiles from platforms like LinkedIn, Facebook, GitHub, and more. All data is stored locally for complete privacy, and you can manage, tag, and export your lists to CSV, JSON, or Excel formats. Whether you’re a recruiter, marketer, researcher, or sales professional, ProfileSpider makes profile collection fast, secure, and incredibly easy.Starting Price: $12/month/user -
6
AIclicks
AIclicks
AIclicks is a GEO platform that helps brands get cited in AI-generated answers, including ChatGPT, Perplexity, Gemini, Claude, Grok, DeepSeek, Meta AI, and Google AI Overviews. At its core, AIclicks works by analyzing 120M+ real AI conversations to uncover the questions buyers ask when looking for solutions in your market. It then measures how visible your brand is across those questions, identifies which competitors are winning citations you should be getting, and pinpoints the third-party sources fueling their visibility. The platform goes beyond reporting. Each finding comes with a direct path forward. AI agents produce optimized content in 100+ languages to target high-value prompt gaps, while weekly dashboards keep share of voice, sentiment, and citation trends in clear view. Over 1500 brands and 400 agencies across SaaS, B2B, and e-commerce rely on AIclicks.Starting Price: $59/month -
7
WisPaper
WisPaper
WisPaper is an AI-driven research assistant that helps users search, filter, and synthesize academic papers and literature quickly and intelligently. Its “Scholar Search” feature acts like an agent: you issue queries about a topic and WisPaper scours research databases to surface the most relevant papers, abstracts, metrics, and insights. Rather than just returning lists, WisPaper lets you screen and filter results by relevance, date, citations, and impact, providing summaries and context to help you zero in on what matters. It also supports concept exploration, if you’re unsure of the exact terms, Wispaper can suggest related keywords or begin from broad ideas and help narrow them. The interface is built to streamline the literature review workflow, reducing the time spent manually digging through search engines, reading many abstracts, and cross-checking sources.Starting Price: Free -
8
Codegen7.dev
Codegen7.dev
We empower software developers by providing boilerplate solutions that include generating end-to-end fullstack codes from simple prompts and SQL. This reduces months of development into a single day. We are currently offering code generation for Angular web apps, Java and Spring Boot APIs. More technologies will be supported in future. Our mission is to support fellow developers creatively architect and build robust systems while not being limited by the complex setups and numerous components represented by thousands to millions of codes.Starting Price: $39/project -
9
GitHub Copilot CLI
GitHub
GitHub Copilot CLI brings the core capabilities of the Copilot coding assistant into your terminal, enabling you to write, debug, refactor, and understand code via natural language directly in the command line. It works locally and in sync with your GitHub workflow, granting the ability to access repositories, issues, and pull requests through conversational commands while staying authenticated with your GitHub account. The tool operates as an agent in your terminal; you can ask it to autonomously create or modify files, execute commands, implement new features, fix bugs, prototype, and adjust codebases based on your specifications. Deep GitHub integration ensures context awareness (e.g., code history, branches, project layout), and the CLI experience is optimized to reduce context switching between your editor and terminal. The system supports iterative collaboration, allowing you to fine-tune or reissue commands as the project evolves.Starting Price: Free -
10
GLM-4.6
Zhipu AI
GLM-4.6 advances upon its predecessor with stronger reasoning, coding, and agentic capabilities: it demonstrates clear improvements in inferential performance, supports tool use during inference, and more effectively integrates into agent frameworks. In benchmark tests spanning reasoning, coding, and agents, GLM-4.6 outperforms GLM-4.5 and shows competitive strength against models such as DeepSeek-V3.2-Exp and Claude Sonnet 4, though it still trails Claude Sonnet 4.5 in pure coding performance. In real-world tests using an extended “CC-Bench” suite across front-end development, tool building, data analysis, and algorithmic tasks, GLM-4.6 beats GLM-4.5 and approaches parity with Claude Sonnet 4, winning ~48.6% of head-to-head comparisons, while also achieving ~15% better token efficiency. GLM-4.6 is available via the Z.ai API, and developers can integrate it as an LLM backend or agent core using the platform’s API.Starting Price: Free -
11
DeepSeek-V3.2-Exp
DeepSeek
Introducing DeepSeek-V3.2-Exp, our latest experimental model built on V3.1-Terminus, debuting DeepSeek Sparse Attention (DSA) for faster and more efficient inference and training on long contexts. DSA enables fine-grained sparse attention with minimal loss in output quality, boosting performance for long-context tasks while reducing compute costs. Benchmarks indicate that V3.2-Exp performs on par with V3.1-Terminus despite these efficiency gains. The model is now live across app, web, and API. Alongside this, the DeepSeek API prices have been cut by over 50% immediately to make access more affordable. For a transitional period, users can still access V3.1-Terminus via a temporary API endpoint until October 15, 2025. DeepSeek welcomes feedback on DSA via its feedback portal. In conjunction with the release, DeepSeek-V3.2-Exp has been open-sourced: the model weights and supporting technology (including key GPU kernels in TileLang and CUDA) are available on Hugging Face.Starting Price: Free -
12
Kodu AI
Kodu AI
Kodu is an AI-powered development platform that allows users to ideate, prototype, and build software products without needing deep coding expertise. It features Claude Code, a VSCode extension powered by Claude 3.7 Sonnet, which brings agentic coding capabilities directly into your editor: the tool can generate code, inspect diffs of changes it makes, interpret pasted images or mockups into functional UI, and run CLI commands without leaving the chat interface. Kodu also offers Kodu Engineer, a voice-driven assistant that lets you describe your project in natural language and watch it build your app live with screen sharing and instant deployment. Behind the scenes, Kodu utilizes its own “Kodu Cloud” inference API with a “rateless” model connection, allowing users to prototype and extend apps rapidly. All of this is delivered through a workflow that connects idea, design, and production, from mockup to live app, with minimal friction or handoff overhead.Starting Price: Free -
13
Jules Tools
Google
Jules Tools is a lightweight command-line interface that lets developers interact with Jules, Google’s asynchronous coding agent, directly from their terminal without needing the browser UI. Jules understands the full context of your repository, takes tasks like writing tests, building new features, fixing bugs, and bumping dependencies, then spins up a temporary VM to perform work and return pull requests. The CLI is scriptable and integrates seamlessly into developer workflows, commands like jules remote list let you inspect tasks, while jules can spawn new sessions from pipelines or issue trackers. It also includes a terminal user interface that mirrors the web dashboard. Because Jules Tools is designed to be programmable, you can embed it into scripts or CI/CD pipelines, combine it with GitHub or Gemini CLI commands, and automate parts of your dev process.Starting Price: Free -
14
Hunyuan-Vision-1.5
Tencent
HunyuanVision is a cutting-edge vision-language model developed by Tencent’s Hunyuan team. It uses a mamba-transformer hybrid architecture to deliver strong performance and efficient inference in multimodal reasoning tasks. The version Hunyuan-Vision-1.5 is designed for “thinking on images,” meaning it not only understands vision+language content, but can perform deeper reasoning that involves manipulating or reflecting on image inputs, such as cropping, zooming, pointing, box drawing, or drawing on the image to acquire additional knowledge. It supports a variety of vision tasks (image + video recognition, OCR, diagram understanding), visual reasoning, and even 3D spatial comprehension, all in a unified multilingual framework. The model is built to work seamlessly across languages and tasks and is intended to be open sourced (including checkpoints, technical report, inference support) to encourage the community to experiment and adopt.Starting Price: Free -
15
Nora
Nora
Nora is described as a “deep reasoning agent” built for software development with a special focus on Web3 stacks. The platform supports major smart-contract languages like Solidity, Move, Cairo, and Rust and adapts to their execution models and semantics. It is compiler- and VM-aware by design: it understands bytecode generation, control flow, instruction-level transformations, and custom runtime environments (EVM, WASM, etc.). Its debugging and validation capabilities are context-aware, enabling it to identify subtle bugs, unintended state behaviors, and architectural bottlenecks across complex codebases. Nora also aims to accelerate the path from idea to product by assisting teams with core module development, interface wiring, integration testing, deployment logic, and maintaining architectural integrity, helping reduce context-switching and speed up Web3 productization.Starting Price: $29 per month -
16
BrowserOS
BrowserOS
BrowserOS is an open source, agent-enabled browser built on a Chromium fork that brings AI agents directly into your web environment, letting you automate tasks, navigate, and interact with web apps simply by using natural language. You log into sites as usual, and with plain-English instructions like “scrape the quarterly results from this page and update a spreadsheet,” BrowserOS generates and runs a repeatable agent locally, handling clicks, form-fills, and navigation chores for you. It features built-in split-view access to major large-language-models such as ChatGPT, Claude, or Gemini, supports local model execution via platforms like Ollama, and ensures full compatibility with Chrome extensions and your existing bookmarks and passwords. With semantic search across browser history and bookmarks, highlighter tools, and the ability to install MCP (Model-Context-Protocol) servers for Gmail, Calendar, Docs, and Notion, the browser becomes a productivity hub.Starting Price: Free -
17
Quickfix AI
Quickfix AI
Quickfix AI is your personal writing assistant that lives right inside your browser. It reads the conversation you’re looking at and instantly crafts a reply that sounds natural, thoughtful, and on point. No need to copy, paste, or jump between tabs—Quickfix works everywhere you write: Gmail, LinkedIn, Reddit, Slack, Zendesk, social media, and more. One extension powers them all. Here’s how it works: click the Quickfix icon, hit Generate Reply, and choose Insert. In just a few seconds, you’ve got a polished response written for you—ready to send or tweak as you like. It’s more than a text generator—it’s a productivity superpower. Quickfix can also rewrite your drafts, fix tone and grammar, or transform clunky text into clear, confident writing. Forget the friction of writing the same things over and over. With Quickfix AI, every reply feels effortless, authentic, and fast—so you can focus on the conversation, not the keyboard.Starting Price: $9/month/user -
18
CodinIT.dev
CodinIT.dev
CodinIT.dev is an open-source, AI-powered application builder that converts natural-language descriptions into complete full-stack applications in minutes. Users simply describe the app they want, and the platform automatically generates production-ready frontend code, backend services, database schemas, and deployment scripts. CodinIT.dev supports 19+ AI providers including OpenAI, Anthropic Claude, Google Gemini, and Mistral. Its browser-based WebContainer environment enables real-time code execution, live preview, an integrated terminal, and built-in Git versioning directly in the browser. The platform offers multi-framework support, including React, Vue, Angular, Svelte, Next.js, Nuxt, Astro, and React Native. Users can deploy with one click to Vercel, Netlify, and GitHub Pages, integrate directly with backend and database services like Supabase, and fully export all generated code to maintain complete ownership. CodinIT.dev streamlines app development for both developers -
19
Reindeer
Reindeer
Reindeer is an AI-powered IDE for database developers that reads your database schema, generates production-ready SQL in seconds, provides inline autocomplete and refactoring suggestions, and enables you to stay entirely within your development environment rather than switching between tools. It supports key features such as schema-aware SQL generation tailored to your tables and relationships, autocomplete and fix suggestions for existing queries, and a safe workflow where suggestions are reviewed by you and not executed automatically, so you retain full control. It launches with support for PostgreSQL and promises support for additional database systems. It is designed to significantly boost productivity for those who write SQL by cutting context switching, reducing repetitive query work, and accelerating development of complex joins, filters, and transformations, all without requiring you to leave your IDE or manually switch between schema viewers and query editors.Starting Price: Free -
20
Snippets AI
Snippets AI
Snippets AI is an AI-prompt and snippet-management platform where users can save, adapt, and reuse prompts and code snippets across multiple large-language models from one centralized workspace. It provides keyboard shortcuts to insert prompts into any app without copy-and-paste, ensuring consistency and speed. Teams can collaborate in shared workspaces with version control, syntax highlighting, voice input, and public or private sharing of libraries, ensuring everyone stays aligned on content, templates, or code patterns. Snippets AI also offers developer-friendly REST APIs to programmatically manage prompts, code, workspaces and integrations. Community features include public libraries of curated prompts and a “Share & Earn” model that pays creators for prompt views. Enterprise-grade security includes fine-grained permissions, audit logs, and dedicated policies for data protection.Starting Price: $5.99 per month -
21
DeepSeek-V3.2
DeepSeek
DeepSeek-V3.2 is a next-generation open large language model designed for efficient reasoning, complex problem solving, and advanced agentic behavior. It introduces DeepSeek Sparse Attention (DSA), a long-context attention mechanism that dramatically reduces computation while preserving performance. The model is trained with a scalable reinforcement learning framework, allowing it to achieve results competitive with GPT-5 and even surpass it in its Speciale variant. DeepSeek-V3.2 also includes a large-scale agent task synthesis pipeline that generates structured reasoning and tool-use demonstrations for post-training. The model features an updated chat template with new tool-calling logic and the optional developer role for agent workflows. With gold-medal performance in the IMO and IOI 2025 competitions, DeepSeek-V3.2 demonstrates elite reasoning capabilities for both research and applied AI scenarios.Starting Price: Free -
22
DeepSeek-V3.2-Speciale
DeepSeek
DeepSeek-V3.2-Speciale is a high-compute variant of the DeepSeek-V3.2 model, created specifically for deep reasoning and advanced problem-solving tasks. It builds on DeepSeek Sparse Attention (DSA), a custom long-context attention mechanism that reduces computational overhead while preserving high performance. Through a large-scale reinforcement learning framework and extensive post-training compute, the Speciale variant surpasses GPT-5 on reasoning benchmarks and matches the capabilities of Gemini-3.0-Pro. The model achieved gold-medal performance in the International Mathematical Olympiad (IMO) 2025 and International Olympiad in Informatics (IOI) 2025. DeepSeek-V3.2-Speciale does not support tool-calling, making it purely optimized for uninterrupted reasoning and analytical accuracy. Released under the MIT license, it provides researchers and developers an open, state-of-the-art model focused entirely on high-precision reasoning.Starting Price: Free -
23
OpenAGI
OpenAGI
OpenAGI is a developer-focused framework designed to help teams build autonomous, human-like AI agents capable of planning, reasoning, and executing tasks independently. It bridges the gap between traditional LLM applications and fully autonomous agents by offering tools for decision-making, continual learning, and long-term task execution. The platform allows developers to create specialized agents for real-world use cases across industries such as education, finance, healthcare, and software development. With its flexible architecture, OpenAGI supports sequential, parallel, and dynamic communication patterns between agents. Developers can choose automated configuration generation or manually tailor every detail for complete customization. OpenAGI represents an early but significant step toward making powerful, adaptive agent technology accessible to everyone.Starting Price: Free -
24
Lux
OpenAGI Foundation
Lux is a powerful computer-use AI platform that enables agents to operate software just like a human user—clicking, typing, navigating, and completing tasks across any interface. It offers three execution modes—Tasker, Actor, and Thinker—giving developers the ability to choose between step-by-step precision, near-instant task execution, or long-form reasoning for complex workflows. Lux can autonomously perform actions such as crawling Amazon data, running automated QA tests, or extracting insights from Nasdaq’s insider activity pages. The platform makes it possible to prototype and deploy real computer-use agents in as little as 20 minutes using developer-friendly SDKs and templates. Its agents are built to understand vague goals, execute long-running operations, and interact naturally with human-facing software instead of relying solely on APIs. Lux represents a new paradigm where AI goes beyond reasoning and content generation to directly operate computers at scale.Starting Price: Free -
25
Devstral 2
Mistral AI
Devstral 2 is a next-generation, open source agentic AI model tailored for software engineering: it doesn’t just suggest code snippets, it understands and acts across entire codebases, enabling multi-file edits, bug fixes, refactoring, dependency resolution, and context-aware code generation. The Devstral 2 family includes a large 123-billion-parameter model as well as a smaller 24-billion-parameter variant (“Devstral Small 2”), giving teams flexibility; the larger model excels in heavy-duty coding tasks requiring deep context, while the smaller one can run on more modest hardware. With a vast context window of up to 256 K tokens, Devstral 2 can reason across extensive repositories, track project history, and maintain a consistent understanding of lengthy files, an advantage for complex, real-world projects. The CLI tracks project metadata, Git statuses, and directory structure to give the model context, making “vibe-coding” more powerful.Starting Price: Free -
26
Devstral Small 2
Mistral AI
Devstral Small 2 is the compact, 24 billion-parameter variant of the new coding-focused model family from Mistral AI, released under the permissive Apache 2.0 license to enable both local deployment and API use. Alongside its larger sibling (Devstral 2), this model brings “agentic coding” capabilities to environments with modest compute: it supports a large 256K-token context window, enabling it to understand and make changes across entire codebases. On the standard code-generation benchmark (SWE-Bench Verified), Devstral Small 2 scores around 68.0%, placing it among open-weight models many times its size. Because of its reduced size and efficient design, Devstral Small 2 can run on a single GPU or even CPU-only setups, making it practical for developers, small teams, or hobbyists without access to data-center hardware. Despite its compact footprint, Devstral Small 2 retains key capabilities of larger models; it can reason across multiple files and track dependencies.Starting Price: Free -
27
Mistral Vibe
Mistral AI
Mistral Vibe is an AI-powered agent platform designed to help individuals, developers, and organizations automate complex tasks, conduct research, create content, and execute workflows across connected tools and data sources. The platform combines advanced AI reasoning with access to business applications, internal knowledge, documents, calendars, and communication channels to support long-horizon work. Users can generate reports, prepare meeting briefs, analyze data, draft communications, and automate recurring processes through a unified workspace. Mistral Vibe also includes specialized coding capabilities that enable developers to write, test, review, refactor, and deploy software with full codebase awareness. Its customizable AI models, integrations, and enterprise deployment options allow organizations to tailor the platform to their unique operational requirements. Built for both business productivity and software development, Mistral Vibe helps teams accelerate execution.Starting Price: Free -
28
DeepCoder
Agentica Project
DeepCoder is a fully open source code-reasoning and generation model released by Agentica Project in collaboration with Together AI. It is fine-tuned from DeepSeek-R1-Distilled-Qwen-14B using distributed reinforcement learning, achieving a 60.6% accuracy on LiveCodeBench (representing an 8% improvement over the base), a performance level that matches that of proprietary models such as o3-mini (2025-01-031 Low) and o1 while using only 14 billion parameters. It was trained over 2.5 weeks on 32 H100 GPUs with a curated dataset of roughly 24,000 coding problems drawn from verified sources (including TACO-Verified, PrimeIntellect SYNTHETIC-1, and LiveCodeBench submissions), each problem requiring a verifiable solution and at least five unit tests to ensure reliability for RL training. To handle long-range context, DeepCoder employs techniques such as iterative context lengthening and overlong filtering.Starting Price: Free -
29
DeepSWE
Agentica Project
DeepSWE is a fully open source, state-of-the-art coding agent built on top of the Qwen3-32B foundation model and trained exclusively via reinforcement learning (RL), without supervised finetuning or distillation from proprietary models. It is developed using rLLM, Agentica’s open source RL framework for language agents. DeepSWE operates as an agent; it interacts with a simulated development environment (via the R2E-Gym environment) using a suite of tools (file editor, search, shell-execution, submit/finish), enabling it to navigate codebases, edit multiple files, compile/run tests, and iteratively produce patches or complete engineering tasks. DeepSWE exhibits emergent behaviors beyond simple code generation; when presented with bugs or feature requests, the agent reasons about edge cases, seeks existing tests in the repository, proposes patches, writes extra tests for regressions, and dynamically adjusts its “thinking” effort.Starting Price: Free -
30
DeepScaleR
Agentica Project
DeepScaleR is a 1.5-billion-parameter language model fine-tuned from DeepSeek-R1-Distilled-Qwen-1.5B using distributed reinforcement learning and a novel iterative context-lengthening strategy that gradually increases its context window from 8K to 24K tokens during training. It was trained on ~40,000 carefully curated mathematical problems drawn from competition-level datasets like AIME (1984–2023), AMC (pre-2023), Omni-MATH, and STILL. DeepScaleR achieves 43.1% accuracy on AIME 2024, a roughly 14.3 percentage point boost over the base model, and surpasses the performance of the proprietary O1-Preview model despite its much smaller size. It also posts strong results on a suite of math benchmarks (e.g., MATH-500, AMC 2023, Minerva Math, OlympiadBench), demonstrating that small, efficient models tuned with RL can match or exceed larger baselines on reasoning tasks.Starting Price: Free
