Best Artificial Intelligence Software for Linux - Page 22
View:
Compare the Top Artificial Intelligence Software for Linux as of July 2026 - Page 22
Sort By:
-
1
OpenHuman
TinyHumans AI
OpenHuman is a personal AI superintelligence designed to be private, simple, and extremely powerful. It gives users a single assistant that can connect to their world, learn their context, and start helping within minutes instead of requiring days of setup. OpenHuman is built around deep personalization, learning from information such as screen activity, text, emails, and connected tools while keeping that context private. Its memory can scale up to 1 billion tokens, allowing users to provide extensive personal information, work context, documents, and preferences so the assistant can understand them more completely over time. It can connect to tools like Gmail and Notion in a few clicks for fast setup, while still allowing advanced users to configure credentials manually for maximum control. OpenHuman also runs a local AI model for lower-level tasks such as summarizing and tooling, helping keep more private work off the cloud.Starting Price: Free -
2
elsai
elsai
elsai is a purpose-built agentic operations platform that gives regulated enterprises the infrastructure to run AI at production scale — not just in pilots. The platform combines three integrated layers: a domain intelligence layer trained to comprehend patient records, financial instruments, and regulatory documents; a multi-agent orchestration engine that sequences specialized agents across complex workflows; and ARMS, a full-observability governance framework that tracks every token, decision, and cost in real time. With 200+ pre-built enterprise integrations and a structured six-stage deployment path, elsai is production-ready for healthcare, BFSI, life sciences, and logistics — governed, auditable, and built on 16 years of enterprise delivery. -
3
Noteweave
Noteweave
Noteweave is an Intelligent Research Machines platform that helps teams go from research to executable production plans. It is built to stress-test scientific research, translate papers into validated experiments, and run R&D faster from one research-first workspace. Deep Analysis pressure-tests methods, evaluations, and robustness so failure modes surface before they reach production, helping teams detect production faults in academic papers pre-emptively, find missing evals, set up discrepancies, or misleading robustness trends, and identify technical faults faster. Explore searches across millions of papers, datasets, and code repositories, then synthesizes them into runnable production plans with traceable evidence. Noteweave helps users discover relevant research signals across 3 million+ AI/ML publications, optimize plans against constraints such as GPU utilization, translate academic methods into reproducible steps, and validate evaluation strategies more reliably.Starting Price: $18.99 per month -
4
NeuralWing
Emmi AI
NeuralWing is a real-time neural simulation and design optimization model for transonic aircraft aerodynamics. It is built around the largest 3D transonic wing dataset, created from 30,000 steady-state CFD simulations of a 3D wing in the transonic regime, with variations across four geometry parameters and two inflow conditions. Using Emmi’s AB-UPT surrogate model trained on this data, NeuralWing enables users to modify wing geometry, test optimizations, and maximize aerodynamic efficiency in seconds. The model supports transonic 3D wing simulation, geometry and inflow variations, real-time inference, and design-parameter optimization. Its inputs include a geometry mesh in STL format, speed, and angle of attack, while its outputs include pressure, friction, velocity fields, and integral forces such as lift and drag. Geometry meshes are created in real time from four design parameters in a differentiable manner, allowing fast exploration of design changes.Starting Price: Free -
5
NeuralMould
Emmi AI
NeuralMould is Emmi AI’s Large Engineering Model for injection molding, described as a new gold standard in AI for engineering: any geometry, any material, any injection gates, one model. It lets users select from a range of geometries and test injection, material, and gate placement parameters to simulate filling behavior in seconds, rapidly compare multiple scenarios, optimize process KPIs, and avoid frozen flow fronts. Injection molding simulation is highly complex because it involves multi-physics calculations that model transient flow of viscous plastic through thin-walled geometries under extreme temperature and pressure conditions. NeuralMould captures these phenomena across a wide range of injecting conditions and mold geometries, achieving performance comparable to traditional solvers with a fraction of the computation time. The model supports multi-material scenarios, fast prototyping, multi-gate configurations, and multiple process parameters.Starting Price: Free -
6
Antigravity CLI
Google
Antigravity CLI is the terminal-first surface for interacting with Antigravity agents, built to let developers stay in their flow without context switching. It allows users to edit, orchestrate, and build in natural language by telling agents what they need and letting them work on getting it done. It is designed as the most lightweight way to invoke, monitor, and interact with Antigravity agents, with a snappy experience and minimal resource footprint for builders who live in the terminal. Antigravity CLI supports subagents, allowing multiple agents to work in parallel so larger tasks can be tackled faster. Users can delegate background tasks to concurrent agent sessions, type /agents to open the panel and monitor status, and use ctrl+k to approve tools instantly. It is highly configurable, with standard terminal shortcuts, adjustable permissions, themes, preferences through /config, and customizable keybindings through /keybindings.Starting Price: Free -
7
elsai Foundry
elsai
elsai Foundry is a governance-first platform to design, deploy, and operate AI agents for regulated enterprise workflows. It embeds compliance guardrails, PHI/PII redaction, prompt management, and real-time ARMS observability into every workflow. Its architecture spans multi-agent orchestration, policy and approvals enforcement, human-in-the-loop controls, domain intelligence, and pre-built agents across healthcare, life sciences, insurance, procurement, and supply chain. -
8
AG2
AG2
AG2 is the open source AgentOS for building production-ready AI agents and multi-agent systems in minutes, not months. Formerly AutoGen, it provides an open source Python framework for building, orchestrating, and scaling AI agents that can collaborate through shared context, use tools, execute workflows, and support both autonomous and human-in-the-loop patterns. AG2 is designed for developers who want to build systems, not prompts, with simple and intuitive syntax, built-in conversation patterns, and a flexible platform for multi-agent automation. Agents in AG2 can extend their capabilities with tools, allowing them to interact with external systems, fetch real-time data, execute code, search the web, process documents, and complete complex tasks beyond a model’s internal knowledge. It supports many LLM providers and local models, including OpenAI-compatible endpoints, Anthropic Claude, Gemini through Vertex AI, DeepSeek, and LM Studio.Starting Price: Free -
9
Multica
Multica
Multica is an open source project management platform for human and agent teams, built to turn coding agents into real teammates rather than separate tools. It gives humans and AI agents the same workspace, where agents can be assigned issues, report progress, reply in comments, raise blockers, ship code, and appear in the member list with profiles, avatars, and open-issue queues. Users can assign work to an agent the same way they would hand a task to a teammate, or open a chat window to ask it to draft an issue, answer a question, or handle a one-off request. Multica’s shared context layer keeps issue comments, attachments, reports, task history, and workspace knowledge accessible to both people and agents, while skills act as workspace-wide playbooks that let every agent reuse the same definitions and operating instructions.Starting Price: Free -
10
AionUi
AionUi
AionUi is a desktop workspace where AI agents live on the user’s computer and actually collaborate across everyday tasks such as writing code, making slides, sorting files, crunching numbers, editing photos, creating reports, writing papers, and running automations 24/7. Users can work with one agent, run multiple agents in parallel, assign tasks to the right assistant, or team them up inside one unified workspace. AionUi auto-detects Claude Code, Codex, Gemini CLI, Aion CLI, OpenCode, OpenClaw, Goose, and 20+ more tools already installed on the machine, so users can reuse their existing setup without reinstalling or duplicating tools. It includes 20+ built-in assistants for presentations, Excel, financial models, documents, academic papers, diagrams, UI/UX design, games, creative writing, project planning, recruiting, setup, and autonomous end-to-end work. Users can also create custom assistants tailored to their workflow.Starting Price: Free -
11
Kimchi
Kimchi
Kimchi is a centralized gateway for managing SaaS and self-hosted AI models, built to help teams deploy, route, optimize, and scale LLM infrastructure without changing the developer workflow. It gives organizations one control layer for AI coding agents, open-source models, commercial models, and internal inference, allowing teams to combine lower-cost OSS models with higher-tier providers such as Claude, OpenAI, Gemini, and others when the task requires it. Kimchi focuses on reducing LLM cost while making development more autonomous, with fast model routing, coding-oriented inference, MCP integration, multi-agent workflows, interchangeable OSS and commercial models, and low-friction local setup. It supports running the Kimchi coding agent across teams, giving engineering organizations broader access to AI coding while preserving team-wide usage attribution, cost visibility, and operational control.Starting Price: Free -
12
oh-my-codex (OMX)
oh-my-codex (OMX)
oh-my-codex, also known as OMX, is a workflow layer for OpenAI Codex CLI that helps users start stronger coding sessions and manage complex development work with more structure. The tool keeps Codex as the execution engine while adding prompts, skills, hooks, runtime support, HUDs, agent teams, and durable project state. OMX supports a recommended workflow built around deep interviews, planning, goal creation, execution, verification, and long-running task management. It stores project guidance, plans, logs, memory, and runtime state in a dedicated .omx folder so work can stay organized across sessions. The platform is primarily designed for macOS and Linux users working with Codex CLI, with additional support for team workflows through tmux. oh-my-codex helps developers use Codex more effectively by adding repeatable processes, stronger task routing, and better runtime coordination.Starting Price: Free -
13
oh-my-claudecode
oh-my-claudecode
oh-my-claudecode is a multi-AI orchestration plugin for Claude Code that helps developers coordinate Claude, Gemini, and Codex in one structured workflow. The platform is designed to turn Claude Code into a more powerful development environment with specialized agents, skills, execution modes, and MCP-powered tools. It includes 19 specialized agents for planning, architecture, debugging, execution, review, security, testing, design, documentation, and other software development tasks. oh-my-claudecode supports powerful modes such as Autopilot, Ralph, Ultrawork, Deep Interview, Team, and Planning to match different coding and project needs. The plugin also includes tools for language server integration, structural code analysis, persistent Python work, project memory, and session state. oh-my-claudecode helps developers automate complex engineering work, coordinate multiple AI systems, and complete coding tasks with more speed and structure.Starting Price: Free -
14
Factory Droid
Factory.ai
Factory Droid is an enterprise-grade AI development platform from Factory.ai that helps engineering teams build, refactor, migrate, and ship software faster. The platform acts as an orchestration layer for autonomous engineering, allowing teams to plan complex initiatives and delegate execution to parallel AI Droids. Developers can use Droid to manage multi-step workflows such as feature development, code migrations, refactors, and other large engineering tasks. Factory Droid is designed for both fast-moving software teams and enterprise environments that require security, compliance, and scalable infrastructure. The platform supports industries such as financial services, healthcare, telecom, defense, national security, national labs, and SaaS. Factory Droid helps organizations accelerate development by combining AI agents, mission planning, and autonomous software execution in one engineering platform.Starting Price: $20/month -
15
Docling
Docling
Docling is an easy-to-use, self-contained, MIT-licensed open source toolkit for converting messy documents into structured data and simplifying downstream document and AI processing. It can parse many popular document formats into a unified and richly structured Docling Document, including PDF, DOCX, PPTX, XLSX, HTML, Markdown, AsciiDoc, CSV, images, audio, and scanned pages through an OCR engine of the user’s choice. Docling detects tables, formulas, reading order, chunks, bounding boxes, page headers and footers, pictures, captions, code, list items, paragraphs, cells, and document structure, making extracted content easier to process, search, and ingest into AI, RAG, and agentic systems. It can export parsed documents to JSON, text, Markdown, HTML, and Doctags, giving developers flexible outputs for pipelines and applications. Docling stores and traverses components according to reading order, partitions documents into bite-sized contiguous text chunks.Starting Price: Free -
16
PaddleOCR
PaddlePaddle
PaddleOCR is a leading open source OCR toolkit and document AI engine that turns PDFs and images into structured, LLM-ready data with high accuracy. It is designed to bridge the gap between documents and large language models by extracting, recognizing, parsing, and organizing information from scanned pages, photos, forms, tables, formulas, charts, and complex layouts. PaddleOCR supports more than 100 languages and provides a practical toolkit for building intelligent RAG and agentic applications that need reliable document understanding. Its core capabilities include PaddleOCR-VL, PP-OCRv5, PP-StructureV3, and PP-ChatOCRv4. PaddleOCR-VL is an ultra-compact vision-language model for multilingual document parsing, supporting 109 languages and performing well on complex elements such as text, tables, formulas, and charts. PP-OCRv5 is built for universal-scene text recognition.Starting Price: Free -
17
Laguna XS.2
Poolside
Laguna XS.2 is Poolside’s open-weight agentic coding model, built as the lightest and fastest model in the Laguna family. It is a 33B total-parameter Mixture of Experts model with 3B activated parameters, trained completely in-house on 30T tokens. As Poolside’s newest generation model open to the community, Laguna XS.2 is a second-generation architecture and the company’s first open-weight model, built on the lessons learned from training Laguna M.1 across synthetic data and reinforcement learning. The model is designed for agentic coding workflows, where it can code, act, iterate quickly, and perform best inside Poolside’s coding agent. Laguna XS.2 is positioned as a strong model for rapid agentic iteration, especially for developers and teams that need a compact, efficient coding model rather than a heavier frontier system. It is released under an Apache 2.0 license, allowing the community to evaluate, fine-tune, quantize, serve, and build on the weights.Starting Price: Free -
18
Laguna M.1
Poolside
Laguna M.1 is Poolside’s most capable model for agentic coding, built and trained in-house for software development workflows. It is a 225B total-parameter Mixture of Experts model with 23B activated parameters, trained completely in-house on 30T tokens using 6,144 interconnected NVIDIA H200 GPUs. Poolside trained Laguna M.1 from scratch with its own data work, training codebase, and async on-policy reinforcement learning in its agent harness, all with agentic coding in mind. The model is designed to perform at its best inside Poolside’s coding agent, where it can reason through software tasks, interact with tools, edit code, run tests, and support longer autonomous development sessions. Laguna M.1 is built for developers and teams working on complex coding tasks that require stronger reasoning, architectural understanding, terminal use, and multi-step execution than lightweight models can provide.Starting Price: Free -
19
DiffusionGemma
Google
DiffusionGemma is an experimental open model that explores text diffusion, an exceptionally fast approach to text generation. Released under an Apache 2.0 license, this 26B Mixture of Experts (MoE) model moves beyond the sequential token-by-token processing of typical autoregressive Large Language Models (LLMs). Instead, it generates entire blocks of text simultaneously, delivering up to 4x faster text generation on GPUs. Built on the intelligence-per-parameter of the Gemma 4 family and Gemini Diffusion research, DiffusionGemma integrates a novel diffusion head designed to maximize generation speed. It is designed for researchers and developers exploring speed-critical, interactive local workflows such as in-line editing, rapid iteration, and non-linear text structures. By shifting the decode bottleneck from memory bandwidth to compute, it can generate more than 1,000 tokens per second on a single NVIDIA H100 and more than 700 tokens per second on an NVIDIA GeForce RTX 5090.Starting Price: Free -
20
AutoClaw
Z.ai
AutoClaw by AutoGLM brings Agent execution power into an IM entry point, letting users activate an AI agent avatar with one click, call professional tools autonomously, and complete complex tasks automatically inside a Feishu conversation box. It looks like chat, but it is actually an Agent execution channel: the user starts a goal in a single dialog box, AutoClaw breaks it down, executes the steps, and sends the result and context back into Feishu. The task entrance is just one conversation, not a configuration page, and not another separate task system. Once the task is launched, the agent avatar continues pushing the work forward, while local tools perform real actions and the steps and status unfold along the same track. Feishu then receives not only the final conclusion, but also the context, progress, and the next handoff point. AutoClaw supports one-click OpenClaw setup, Windows and macOS downloads, IM integration, hot-swappable models, and more than 50 skills.Starting Price: Free -
21
RagLeap
RagLeap
RagLeap is a self-hosted AI business platform providing 9 AI roles — AI Manager, Customer Support, Voice Agent, Email Manager, Personal Secretary, DB Analyst and AI COO in one system. Runs on your own server with complete data privacy. Connects to MySQL, PostgreSQL, MongoDB. Handles WhatsApp, Telegram, Voice calls, Email and web chat in 222+ languages. Free self-hosted tier available. Cloud plans from $29/month.Starting Price: $0 -
22
AgentOne
AgentOne
Free alternative to Claude Cowork - AgentOne is an AI agent that helps you get work done, not just talk about it. Give it a goal in plain English, and it can break the task into steps, use the right tools, gather information from connected apps, and work toward a finished result. AgentOne lets non-technical and technical users alike easily automate boring work. With support for over 12,700 apps, services, and websites, AgentOne fits into the tools you already use. It can run multiple agents in parallel to tackle complex tasks faster, sync seamlessly across your devices, and work with hundreds of AI models using your own API keys. Privacy remains a core focus, with your data staying under your control and stored locally whenever possible. Start for free with no credit card required, and experience a more capable, connected, and private approach to AI-powered automation.Starting Price: $8.99/month -
23
Reline
Reline
Reline is an AI notepad for meetings, lectures, and calls, built to capture every conversation without sending a bot into the room. It records the call right on the user's device, preserving microphone and system audio in a single archive, then transcribes in real time with speaker source preserved on every segment. From there, Reline writes summaries, decisions, action items, and follow-ups, then helps ship the outcome to where work already happens. Its Lenses turn raw transcripts into the shape a team actually uses, letting users save a prompt once and share it across the workspace so every standup, discovery call, design review, customer interview, or lecture can produce a consistent TL;DR, decisions, and action-item format. Users can ask questions across one note, one folder, or an entire workspace through RAG chat, with answers cited back to exact transcript timestamps. Reline works in the browser and as a desktop app, with a free plan and per-seat pricing for teams.Starting Price: $12 per month -
24
Hy3
Tencent
Hy3 preview is Tencent Hy’s most intelligent model in the Hy series to date, built as a 295B-parameter Mixture-of-Experts model with 21B activated parameters, 3.8B MTP layer parameters, and support for up to a 256K token context window. As the first model trained on Tencent Hy’s rebuilt infrastructure, Hy3 preview is designed to improve real-world usability across complex reasoning, instruction following, context learning, coding, agent capabilities, and overall inference performance. It integrates both fast and slow thinking capabilities, allowing direct responses for simpler tasks and deeper reasoning for complex math, coding, and reasoning work. The model is built around well-rounded capabilities across long-context understanding, instruction following, tool use, and agent workflows, with evaluation focused not only on standard benchmarks but also on authentic business and development scenarios.Starting Price: Free -
25
Open Voice OS
Open Voice OS
Open Voice OS is a community-driven, open source voice AI platform for creating custom voice-controlled interfaces across devices with NLP, a customizable UI, and a focus on privacy and security. Built by developers from Linux and FOSS communities around the globe, it is an open platform for making cutting-edge voice assistance technology available to everyone. Open Voice OS is multi-platform, designed for embedded headless devices, single-board computers with screens, DIY smart speakers, Raspberry Pi devices, Mark I and Mark II devices, Linux desktops, laptops, and Docker containers. As a voice operating system, OVOS goes beyond a traditional “Hey Mycroft…” assistant and provides the foundational tools and frameworks for integrating voice interaction into robots, automation systems, smart furniture, mirrors, cloud-based voice services, embedded devices, and smart TVs.Starting Price: Free -
26
LM Studio Bionic
LM Studio
LM Studio Bionic is an AI agent built for getting real work done with open models across coding, research, documents, files, and general knowledge work. It gives users flexible control over where models run: locally on their device, through LM Link, or with frontier open-source models in LM Studio Secure Cloud for heavier tasks. Local models are powered by the LM Studio runtime and can be downloaded directly inside the app, while cloud requests use Zero Data Retention and are processed without being stored after completion. For coding, users can connect a local folder as a Code project and ask Bionic to inspect a codebase, explain unfamiliar logic, search for relevant files, trace behavior, edit code, or debug issues. Inline diffs make changes easy to review as the agent works. Work projects support documents, PDFs, presentations, spreadsheets, and local directories, allowing Bionic to generate new files, organize materials, summarize content, edit existing work, and more.Starting Price: Free -
27
Buzz
Block Open Source
Buzz is a self-hostable workspace where humans and AI agents build together in the same rooms, on a relay the team owns. One community brings conversations, agents, workflows, repositories, artifacts, documents, search, and automation into a single workspace with one identity model and one event log. Every message, reaction, workflow step, review approval, canvas update, huddle event, and Git action is recorded as a cryptographically signed Nostr event, giving people and processes the same audit trail. Agents are members, not bots: teams add them to channels like colleagues, give them their own keys and scoped memberships, and let them open repositories, send patches, review code, run workflows, edit canvases, orchestrate other agents, create channels, join voice huddles, and bring the right people into the work. Buzz can search project history and return answers with supporting threads, patches, runs, and approvals.Starting Price: Free -
28
P4
Perforce
P4 (formerly Helix Core) is an enterprise-grade version control system designed to manage the complexities of modern software development. It allows teams to store, track, and manage all digital assets—ranging from source code to 3D models—with unprecedented scalability. P4 is ideal for large, distributed teams working on large-scale projects, offering powerful collaboration tools, seamless integrations, and advanced branching capabilities. With strong support for both centralized and distributed workflows, P4 enhances productivity and efficiency, making it a top choice for software, game, and hardware development teams. -
29
Inventale
Inventale
Having 20+ years of programming background, Inventale specializes in the development of high-quality software engineering projects. Our expertise lies in forecasting and recommendation systems built on unstructured data, Big-Data processing and analytics, video recognition, geo-locations, and audience analysis in different spheres, including online advertising, logistics, finance, medicine, biology, HR, law, and many others. Also, we have not only developed a first-class platform for publishers and media companies, but we have successfully promoted it to the global market. In 2021, the product was acquired by BURT Intelligence to complement their platform. Inventale has: - an extensive experience in working with major global companies, market leaders and small businesses, and ambitious startups from the USA, the UK, Europe, and MENA Region; - 20+ clients worldwide; - 40+ enthusiastic professionals, ready to bring your ideas to life.Starting Price: $25,000 -
30
GraphDB
Ontotext
*GraphDB allows you to link diverse data, index it for semantic search and enrich it via text analysis to build big knowledge graphs.* GraphDB is a highly efficient and robust graph database with RDF and SPARQL support. The GraphDB database supports a highly available replication cluster, which has been proven in a number of enterprise use cases that required resilience in data loading and query answering. If you need a quick overview of GraphDB or a download link to its latest releases, please visit the GraphDB product section. GraphDB uses RDF4J as a library, utilizing its APIs for storage and querying, as well as the support for a wide variety of query languages (e.g., SPARQL and SeRQL) and RDF syntaxes (e.g., RDF/XML, N3, Turtle).
