Best Artificial Intelligence Software for Linux - Page 19

Compare the Top Artificial Intelligence Software for Linux as of May 2026 - Page 19

  • 1
    QuikAuthor

    QuikAuthor

    QuikAuthor

    QuikAuthor makes professional eLearning and microlearning course creation fast and accessible. No authoring experience needed. Five ways to create courses: AI Avatar Video — Illustrated presenter, AI voice, lip-sync video with subtitles and quizzes. No cameras or studios. AI Video to Course — Upload a video; AI transcribes and builds interactive lessons. AI PDF to Course — Upload a doc; AI converts it into a structured course. AI Course Generator — Describe your topic; AI builds the full course. Build from Scratch — Full control with 60+ templates: teach slides, games, drag and drop, branching scenarios. Key features: 60+ interactive templates · AI avatar video with ElevenLabs voices · Built-in video editor · SCORM 1.2 & 2004 export · Custom branding · AI translation into 20+ languages · Fully responsive. Built for L&D teams, trainers, instructional designers, and educators.
    Starting Price: $69 per month
  • 2
    DeepSeek-V4

    DeepSeek-V4

    DeepSeek

    DeepSeek-V4 is a next-generation open-source language model designed for high-performance reasoning, coding, and long-context intelligence. It introduces a powerful architecture with up to one million token context length, enabling seamless handling of large datasets and complex multi-step workflows. The model comes in two variants: DeepSeek-V4-Pro for maximum performance and DeepSeek-V4-Flash for efficiency and speed. DeepSeek-V4-Pro features 1.6 trillion total parameters with 49 billion activated, delivering near state-of-the-art performance comparable to leading closed-source models. It excels in agentic coding, mathematical reasoning, and world knowledge tasks. The model integrates advanced attention mechanisms, including token-wise compression and sparse attention, significantly reducing compute and memory costs. It is also optimized for AI agents, supporting tool use and multi-step workflows.
    Starting Price: Free
  • 3
    Qwen3.5

    Qwen3.5

    Alibaba

    Qwen3.5 is a next-generation open-weight multimodal large language model designed to power native vision-language agents. The flagship release, Qwen3.5-397B-A17B, combines a hybrid linear attention architecture with sparse mixture-of-experts, activating only 17 billion parameters per forward pass out of 397 billion total to maximize efficiency. It delivers strong benchmark performance across reasoning, coding, multilingual understanding, visual reasoning, and agent-based tasks. The model expands language support from 119 to 201 languages and dialects while introducing a 1M-token context window in its hosted version, Qwen3.5-Plus. Built for multimodal tasks, it processes text, images, and video with advanced spatial reasoning and tool integration. Qwen3.5 also incorporates scalable reinforcement learning environments to improve general agent capabilities. Designed for developers and enterprises, it enables efficient, tool-augmented, multimodal AI workflows.
    Starting Price: Free
  • 4
    OrcaSheets

    OrcaSheets

    OrcaSheets

    OrcaSheets is a local-first analytics platform that enables teams to analyze large datasets using a spreadsheet-style interface combined with powerful data processing capabilities. The platform connects to multiple data sources such as databases, warehouses, APIs, and flat files, allowing organizations to unify data from different systems into a single workspace. OrcaSheets can process billions of rows directly on a user’s hardware, delivering fast query performance without relying entirely on cloud infrastructure. Users can explore data using plain English queries or switch to SQL for advanced analysis, making the platform accessible to both business users and data professionals. By combining spreadsheet simplicity with high-performance analytics, OrcaSheets helps teams run financial reporting, operational analysis, and growth analytics more efficiently.
    Starting Price: $0
  • 5
    ZeroClaw

    ZeroClaw

    ZeroClaw

    ZeroClaw is a Rust-native autonomous AI agent framework engineered for teams that require fast, secure, and highly modular agent infrastructure. It is designed as a compact, production-ready runtime that launches quickly, runs efficiently, and scales through interchangeable providers, channels, memory systems, and tools. Built around a trait-based architecture, ZeroClaw allows developers to swap model backends, communication layers, and storage implementations through configuration changes without rewriting core code, reducing vendor lock-in and improving long-term maintainability. It emphasizes a minimal footprint, shipping as a single binary of about 3.4 MB with startup times under 10 milliseconds and very low memory usage, making it suitable for servers, edge devices, and low-power hardware. Security is a first-class design goal, with sandbox controls, filesystem scoping, allowlists, and encrypted secret handling enabled by default.
    Starting Price: Free
  • 6
    OpenFang

    OpenFang

    OpenFang

    OpenFang is an open source Agent Operating System built in Rust that provides a unified runtime for building, deploying, and managing autonomous AI agents at production scale. It packages a batteries-included architecture into a single binary, enabling developers to run agents that operate continuously, build knowledge graphs, and report results to a centralized dashboard without constant user prompts. At the core of OpenFang are “Hands,” pre-built autonomous capability packages that execute on schedules and perform tasks such as lead generation, research, browser automation, and social management. It includes dozens of pre-built agents, native tools, and channel adapters that allow agents to function across platforms like Slack, WhatsApp, Discord, and Teams from a single environment. Security is built into the foundation through multiple defense layers such as WASM sandboxing, cryptographic signing, taint tracking, and tamper-evident audit trails.
    Starting Price: Free
  • 7
    AgentScope

    AgentScope

    AgentScope

    AgentScope is an AI-driven agent observability and operations platform that provides visibility, control, and performance analytics for autonomous AI agents across production workloads. It enables engineering and DevOps teams to monitor, diagnose, and optimize complex multi-agent applications in real time by capturing detailed telemetry on agent actions, decisions, resource usage, and outcome quality. With rich dashboards and timelines, AgentScope helps teams trace execution flows, identify bottlenecks, and understand how agents interact with external systems, APIs, and data sources, improving debugging and reliability for autonomous workflows. It supports customizable alerting, log aggregation, and structured event views so teams can quickly surface anomalous behavior or errors across distributed agent fleets. In addition to real-time monitoring, AgentScope provides historical analysis and reporting that help teams measure performance trends, model drift, etc.
    Starting Price: Free
  • 8
    QwenPaw

    QwenPaw

    AgentScope

    QwenPaw is a personal AI agent workstation designed to help users build, deploy, and manage intelligent assistants with ease. It enables users to create AI-powered assistants in minutes through simple installation methods like pip, Docker, desktop apps, or cloud deployment. The platform supports integration with multiple communication channels such as Telegram, Discord, WeChat, and Slack-like tools. QwenPaw offers memory and personalization features, allowing assistants to adapt to user preferences and behaviors over time. It includes custom lightweight models optimized for local deployment and high-frequency tasks like document processing and information retrieval. The platform features a multi-agent workspace system where multiple assistants can run independently and collaborate on complex tasks. Its built-in security architecture protects against threats, unauthorized access, and risky operations.
    Starting Price: Free
  • 9
    Mistral Small 4
    Mistral Small 4 is an advanced open-source AI model developed by Mistral AI that combines reasoning, coding, and multimodal capabilities into a single system. It unifies the strengths of previous models such as Magistral for reasoning, Pixtral for multimodal processing, and Devstral for agentic coding tasks. The model can handle both text and image inputs, allowing it to perform tasks ranging from conversational chat to visual analysis and document understanding. Built with a mixture-of-experts architecture, Mistral Small 4 delivers efficient performance while scaling to complex workloads. It also features a configurable reasoning parameter that allows users to switch between fast responses and deeper analytical outputs. With a large context window and optimized inference performance, the model supports long-form interactions and complex workflows.
    Starting Price: Free
  • 10
    Leanstral

    Leanstral

    Mistral AI

    Leanstral is an open-source code agent developed by Mistral AI specifically designed to work with the Lean 4 proof assistant. The model focuses on generating code while also formally verifying its correctness against strict mathematical or software specifications. Unlike traditional coding assistants, Leanstral integrates directly with formal proof systems to ensure that generated code satisfies defined logical requirements. Its architecture is optimized for proof engineering tasks and operates efficiently with sparse model parameters. Leanstral is released under the Apache 2.0 license, making it freely accessible for developers, researchers, and organizations to use and customize. The model is designed to operate within real-world formal repositories rather than isolated problem environments. By combining code generation with formal verification, Leanstral aims to reduce the need for manual human review in complex software and mathematical development.
    Starting Price: Free
  • 11
    guIDE

    guIDE

    Graysoft

    guIDE is a native desktop IDE built for local LLM inference. Run AI models directly on your hardware — your code never leaves your machine. Features an agentic AI loop for autonomous multi-step task execution, RAG codebase indexing for context-aware responses, 53 built-in MCP tools (file operations, web search, browser automation), Playwright integration, code runner for 50+ languages, Whisper voice input, and full Git integration. Optional cloud LLM support (OpenAI, Anthropic, etc.). Available as Desktop (Win/Linux/macOS), browser version, and Chrome extension.
    Starting Price: $4.99/month
  • 12
    LocalAI

    LocalAI

    LocalAI

    LocalAI is a free, open source, local-first AI platform designed as a drop-in replacement for the OpenAI API, allowing developers to run large language models and other AI systems entirely on their own hardware without relying on cloud services. It provides a complete AI stack for local inferencing, enabling text generation, image creation with diffusion models, audio transcription and speech synthesis, embeddings for semantic search, and multimodal capabilities such as vision analysis. It is compatible with OpenAI API specifications, allowing existing applications to integrate seamlessly by simply switching endpoints, while supporting a wide range of open source model families that can run on CPU or GPU, including consumer-grade devices. LocalAI emphasizes privacy and control by ensuring all processing happens locally, keeping data on-device and eliminating external dependencies.
    Starting Price: Free
  • 13
    MiniMax M2.7
    MiniMax M2.7 is an advanced AI model designed to enhance real-world productivity across coding, search, and office workflows. It is trained with reinforcement learning across numerous real-world environments, enabling it to handle complex, multi-step tasks effectively. The model excels in problem-solving by breaking down challenges before generating solutions across multiple programming languages. It delivers high-speed performance with rapid token generation, allowing tasks to be completed efficiently. With optimized reasoning and cost-effective pricing, it provides powerful capabilities while minimizing resource usage. It also achieves strong performance in software engineering benchmarks, reducing incident response time and improving development efficiency. Additionally, it supports advanced agentic workflows and professional-grade office tasks, making it highly versatile for modern work environments.
    Starting Price: Free
  • 14
    MiMo-V2-Pro

    MiMo-V2-Pro

    Xiaomi Technology

    Xiaomi MiMo-V2-Pro is a flagship AI foundation model designed to power real-world agentic workflows and complex task execution. It is built to function as the core intelligence behind agent systems, enabling orchestration of multi-step processes and production-level tasks. The model demonstrates strong capabilities in coding, tool usage, and search-based tasks, performing competitively on global benchmarks. With its large-scale architecture and extended context window, it can handle long and complex interactions efficiently. MiMo-V2-Pro is optimized for practical applications, delivering reliable performance across development, automation, and enterprise workflows.
    Starting Price: $1/million tokens
  • 15
    Hermes Agent

    Hermes Agent

    Nous Research

    Hermes Agent by Nous Research is an open-source autonomous AI agent designed to run locally on your server and improve over time. It operates independently from traditional chatbots by maintaining persistent memory and learning from past interactions. The agent can integrate with multiple platforms such as Slack, Discord, Telegram, and WhatsApp through a unified gateway. Hermes supports automation tasks like scheduling reports, managing workflows, and executing commands using natural language. It also enables parallel task execution through subagents, improving efficiency for complex operations. With built-in tools for web browsing, search, and code execution, it provides a versatile environment for various tasks. Overall, Hermes Agent acts as a continuously evolving AI system that adapts to user needs and workflows.
    Starting Price: Free
  • 16
    1DevTool

    1DevTool

    StoicSoft

    1DevTool saves developers 40+ minutes every day by eliminating the constant switching between Chrome, terminal, AI tools, and notes apps. One workspace. Zero interruptions. 🐛 Browser + AI — Stop copy-pasting errors to your AI terminals One click sends console logs, network requests, errors, and screenshots straight to your AI agent. No more switching between Chrome and terminal 20+ times a day. Works with Claude, Codex, Gemini & AMP. Saves ~30 seconds per bug report. ✍️ Agent Prompt Editor — Write better prompts without leaving your terminal A rich prompt editor built into your terminal. @ mention files, drag-and-drop images, format with markdown. Saves ~15 seconds per prompt — 7+ minutes daily. 💾 Persistent Terminals — Close the app. Reopen. Nothing lost. Every terminal session is exactly where you left it — scrollback, running processes, agent conversations. Restart your machine, come back hours later, pick up instantly. Saves ~5 minutes per restart.
    Starting Price: $29 one-time payment
  • 17
    Claw Code

    Claw Code

    Claw Code

    Claw Code is an open-source AI coding agent framework designed to replicate and expand upon modern AI-assisted development architectures. Built using a combination of Python and Rust, it delivers a modular and high-performance system for coding automation. The framework features a plugin-based tool system, allowing developers to execute tasks like file operations, shell commands, and web interactions with permission controls. Its core query engine manages LLM interactions, enabling intelligent code generation, analysis, and multi-step task execution. Claw Code supports multi-agent orchestration, allowing complex tasks to be broken down into parallel workflows. It is provider-agnostic, meaning it can integrate with multiple AI models rather than being limited to a single ecosystem. Overall, Claw Code offers developers a flexible, transparent, and customizable foundation for building advanced AI coding agents.
    Starting Price: Free
  • 18
    Oh My OpenAgent

    Oh My OpenAgent

    Oh My OpenAgent

    Oh My OpenAgent is an open-source AI agent harness designed to automate complex development workflows with minimal human intervention. It features a multi-agent system where specialized agents collaborate to plan, execute, and verify tasks efficiently. The platform includes an advanced orchestration layer that separates planning and execution, ensuring high-quality outcomes. Its “Ultra Work” mode enables full automation by combining auto-planning, deep research, and self-correcting loops. Oh My OpenAgent supports parallel agent execution, allowing multiple tasks to run simultaneously for faster results. The system emphasizes reliability through independent verification of all outputs and continuous learning across tasks. Overall, it provides a powerful framework for developers seeking autonomous, high-performance AI-driven coding workflows.
    Starting Price: Free
  • 19
    OpenSpec

    OpenSpec

    Fission AI

    OpenSpec is an open-source spec-driven development framework designed to bring structure and clarity to AI-assisted coding workflows. It introduces a lightweight specification layer that helps teams define requirements before writing code. The platform organizes each change into structured artifacts such as proposals, specifications, designs, and task lists. It integrates with over 20 AI coding tools, allowing developers to use their preferred assistants while maintaining consistency. OpenSpec emphasizes an iterative and flexible approach rather than rigid development phases. Its command-based workflow enables users to propose, implement, and archive features efficiently. Overall, OpenSpec helps developers align with AI systems, reduce ambiguity, and produce more predictable and reliable outcomes.
    Starting Price: Free
  • 20
    ComputeSDK

    ComputeSDK

    ComputeSDK

    ComputeSDK is a free and open-source toolkit designed to enable developers to safely run external or user-generated code within their applications through a unified and consistent interface. It provides a TypeScript-native API that abstracts multiple compute providers, allowing developers to switch between environments such as E2B, Vercel, Daytona, Modal, and others without modifying their core codebase. It is built around isolated sandbox environments, which ensure that executed code runs securely without impacting the host infrastructure, making it suitable for applications that require controlled execution of untrusted code. ComputeSDK supports key capabilities such as executing code and shell commands, managing filesystems, creating and destroying sandboxes, and integrating with modern web frameworks like Next.js, Nuxt, and SvelteKit.
    Starting Price: $500 per month
  • 21
    Spacesuit

    Spacesuit

    Spacesuit

    Spacesuit is a productivity and personal thinking tool designed as a “futuristic canvas” where users can organize ideas freely without the constraints of traditional folders or hierarchical systems. It provides a flexible grid-based workspace where anything can be placed anywhere, allowing thoughts, notes, and resources to evolve naturally as users think and create. Instead of rigid structures, it uses resizable “cards” as containers for ideas, which can be moved, resized, and connected across multiple grids to reflect different contexts or workflows. It includes powerful navigation features like a global search bar and grid linking, enabling users to jump between related ideas and access information instantly. Spacesuit integrates AI processors that connect with models from providers such as OpenAI, Anthropic, Google, and others, allowing users to generate insights and dynamic content tailored to their context.
    Starting Price: $29.99 per month
  • 22
    LaReview

    LaReview

    LaReview

    LaReview is a local-first, open source code review workbench designed to transform pull requests and code diffs into structured, high-signal review workflows that prioritize understanding over noise. It takes a GitHub or GitLab PR or raw diff as input and uses AI coding agents to generate a clear review plan that organizes changes by flows, risks, and intent, allowing developers to review code in a deliberate and meaningful order rather than scrolling through files. It emphasizes a reviewer-first approach, helping engineers plan their review before commenting, and focuses on delivering actionable feedback instead of producing large volumes of low-value comments. It includes AI-powered planning that analyzes code like a staff engineer, identifying hazards and building structured checklists, along with task-focused review views that group work by logical flows and highlight risk through features like file heatmaps.
    Starting Price: Free
  • 23
    Qwen3.6-35B-A3B
    Qwen3.5-35B-A3B is part of the Qwen3.5 “Medium” model series, designed as a highly efficient, multimodal foundation model that balances strong reasoning ability with practical deployment requirements. It uses a Mixture-of-Experts (MoE) architecture with 35 billion total parameters but activates only about 3 billion per token, allowing it to deliver performance comparable to much larger models while significantly reducing computational cost. The model integrates a hybrid attention mechanism that combines linear attention with standard attention layers, enabling efficient long-context processing and improved scalability for complex tasks. As a native vision-language model, it can process both text and visual inputs, supporting use cases such as multimodal reasoning, coding, and agent-based workflows. It is designed to function as a general-purpose “AI agent,” capable of planning, tool use, and structured problem solving rather than just conversational responses.
    Starting Price: Free
  • 24
    Junction

    Junction

    Junction

    Junction Panel is a lightweight control surface for managing AI coding agents from anywhere, designed to keep developers connected to their workflows without being tied to a desktop environment. It enables users to monitor, interact with, and control multiple local AI agents in real time, receiving alerts when an agent needs input and responding instantly from any device, including a phone. Through a unified interface, users can review diffs, tail logs, merge pull requests, and approve execution steps with one-tap actions, allowing development processes to continue seamlessly even when away from a workstation. It includes built-in features such as per-turn cost tracking for token usage, workspace browsing, custom commands, and agent checkpoints that allow rollback to previous states if something goes wrong. It also introduces a structured permission system with five levels of risk classification, ensuring that every agent action is categorized and reviewed appropriately.
    Starting Price: $10 per month
  • 25
    LiveVoice

    LiveVoice

    LiveVoice

    LiveVoice is a cloud-based live audio platform for real-time interpretation across on-site, online, and hybrid events. Listeners use their own phones (BYOD), no rented hardware. Three translation modes: human interpreters working remotely (RSI), AI Voice & Text Translation in 65+ languages, or both combined in one event. Highlights: Unlimited language channels per event, no extra cost Pay-as-you-go AI billed by the minute, no per-event fees Works alongside Zoom, Teams, or any video conferencing tool Listeners join via QR code, link, or invite with browser or app
    Starting Price: $10/month/10 listeners
  • 26
    DeepSeek-V4-Pro
    DeepSeek-V4-Pro is a large-scale Mixture-of-Experts (MoE) language model designed for advanced reasoning, coding, and long-context understanding. It features 1.6 trillion total parameters with 49 billion activated parameters, enabling high performance while maintaining efficiency. The model supports an exceptionally large context window of up to one million tokens, allowing it to process extensive documents and workflows. It uses a hybrid attention architecture to optimize long-context performance and reduce computational cost. DeepSeek-V4-Pro is trained on over 32 trillion tokens, improving its knowledge and reasoning capabilities. It also includes advanced optimization techniques for stability and faster convergence during training. The model supports multiple reasoning modes, allowing users to balance speed and accuracy based on their needs. Overall, it provides a powerful open-source solution for complex AI tasks and large-scale applications.
    Starting Price: Free
  • 27
    DeepSeek-V4-Flash
    DeepSeek-V4-Flash is a high-efficiency Mixture-of-Experts (MoE) language model designed for fast, scalable reasoning and text generation. It features 284 billion total parameters with 13 billion activated parameters, delivering strong performance while optimizing computational cost. The model supports an extensive context window of up to one million tokens, enabling it to process large documents and complex workflows with ease. Its hybrid attention architecture enhances long-context efficiency by reducing memory and compute requirements. Trained on over 32 trillion tokens, DeepSeek-V4-Flash demonstrates solid capabilities across knowledge, reasoning, and coding tasks. It is designed for scenarios where speed and efficiency are critical, offering a balance between performance and resource usage. The model also supports multiple reasoning modes, allowing users to adjust between faster outputs and deeper analysis.
    Starting Price: Free
  • 28
    Worktale

    Worktale

    Worktale

    Worktale is a local-first developer tool that transforms git history into a structured, persistent record of everything a developer builds, combining code activity tracking with AI usage insights in a single system. It operates primarily as a lightweight CLI with an optional desktop interface, scanning repositories to generate a complete work journal based on commit metadata such as timestamps, messages, and line changes, without ever accessing source code. It automatically captures development activity through a post-commit hook or batch import, compiling daily digests that summarize progress, decisions, and output, which can be edited and reused for status updates, performance reviews, or documentation. It includes visual dashboards with streak tracking, contribution heatmaps, and historical analytics, allowing developers to understand productivity patterns over time.
    Starting Price: $9 per month
  • 29
    OpenWork

    OpenWork

    OpenWork

    OpenWork is an open source, AI-powered desktop application designed to help individuals and teams run, manage, and share agentic workflows using large language models through a unified, local-first environment. It allows users to connect to more than 50 LLM providers, bring their own API keys, and integrate existing tools, skills, and plugins into a single workspace, enabling flexible and customizable AI-driven automation. It transforms plain-language instructions into executable actions, such as automating browser tasks, extracting data, or generating outputs across connected applications, while providing a transparent execution timeline that shows what actions were taken and why. OpenWork emphasizes composability and extensibility, supporting desktop, CLI, and cloud configurations, and enabling workflows to be packaged as reusable “skills” that can be shared with teams through a single link and imported instantly without technical setup.
    Starting Price: $50 per month
  • 30
    HiClaw

    HiClaw

    AgentScope

    HiClaw is an open source multi-agent OS powered by Matrix. It lets multiple AI agents collaborate in Matrix rooms, fully visible to humans, with real-time intervention capability. A Manager Agent coordinates multiple Worker Agents to complete complex tasks, intelligently decomposing work and enabling parallel execution for stronger complex task handling. Built for enterprise-grade security and multi-agent collaboration, HiClaw uses the open Matrix IM protocol so all agent communications remain transparent, auditable, and suitable for distributed deployment and federation. Humans can enter any Matrix room at any time to observe agent conversations, intervene, or correct agent behavior in real time, ensuring safety and control. It's clear that a two-tier Manager-Worker architecture gives each agent distinct responsibilities and makes it easier to extend the system with custom Worker Agents for different scenarios.
    Starting Price: Free
MongoDB Logo MongoDB