Alternatives to Izuran Pro

Compare Izuran Pro alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Izuran Pro in 2026. Compare features, ratings, user reviews, pricing, and more from Izuran Pro competitors and alternatives in order to make an informed decision for your business.

  • 1
    Muse Spark Open
    Muse Spark Open is an open-weight, natively multimodal language model for developers and organizations building AI applications, coding systems, and agentic workflows. The released model has 816 billion total parameters, 42 billion active parameters, and a 1-million-token context window. Teams can download the model weights, run inference through supported engines such as vLLM, SGLang, TensorRT-LLM, Hugging Face Transformers, Apple MLX, llama.cpp, or Unsloth, and customize the model using PyTorch. It supports long-context reasoning, software engineering, coding, tool use, and multimodal inputs. Deployment options include cloud inference through listed API providers or self-hosting on compatible GPU systems; Meta documents a desktop setup using two Apple M5 Ultra Mac Studio computers. The model is released under the Muse Model License with limited commercial terms.
  • 2
    Pumli

    Pumli

    ESOTECH

    Pumli is an AI assistant app for iPhone and iPad, and is compatible with Apple-silicon Macs. It supports chat with downloaded on-device language models, including offline use, as well as selected online AI services. Users can ask questions about PDFs and photos, summarize web pages, translate text, research topics with sources, draft email, and generate images or short videos through supported online providers. Optional connectors link selected tools and services. Pumli can also pair with OneLLM Office on a computer, letting users follow work, approve steps, and open completed files from their phone. Local models require storage and compatible hardware; connected services need internet access and may require separate accounts or usage fees. Features depend on the chosen model and provider.
  • 3
    Siri

    Siri

    Apple

    Apple Intelligence and Siri AI bring a more personal, powerful AI experience to Apple devices by helping users communicate, create, search, and get things done across apps. Siri AI is designed to understand personal context, answer open-ended questions, take actions in apps, and support natural conversations. Visual Intelligence lets users ask questions about what is on screen, in front of the camera, or visible through Apple Vision Pro. Apple Intelligence also adds smarter photo editing, image generation, writing assistance, translation, dictation, Safari organization, password updates, and shortcut creation. Privacy is central to the system, using on-device processing and Private Cloud Compute to protect user data. By integrating AI directly into iPhone, iPad, Mac, Apple Watch, Apple Vision Pro, and supported apps, Apple Intelligence helps users work faster while keeping their information private.
  • 4
    Locally AI

    Locally AI

    Locally AI

    Locally AI is an on-device AI application that allows users to run powerful language models directly on their iPhone, iPad, or Mac without relying on cloud infrastructure or an internet connection. Built on Apple’s MLX framework, it delivers fast, efficient performance while minimizing power usage, enabling a seamless experience for chatting, creating, learning, and exploring AI capabilities across devices. It supports multiple open models such as Llama, Gemma, Qwen, and DeepSeek, allowing users to switch between them and tailor outputs to different tasks. Everything runs entirely offline, meaning no login is required, and no data is collected or transmitted, ensuring complete privacy and control over personal information. Users can interact with AI through natural conversations, analyze documents or images, and generate text in a unified interface designed for simplicity and responsiveness.
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    oMLX

    oMLX

    oMLX

    oMLX is a macOS-native MLX server designed to make local AI faster and more practical on Apple Silicon. Built for the way coding agents actually work, it uses paged SSD KV caching to persist cache blocks to disk, allowing previously seen prefixes to be restored across requests and server restarts instead of being recomputed from scratch. This can reduce time to first token on long contexts from 30–90 seconds to under five seconds after the first turn. Continuous batching handles concurrent requests through mlx-lm’s BatchGenerator, improving generation throughput without forcing requests to wait behind a single job. oMLX can serve LLMs, vision-language models, embedding models, and rerankers simultaneously, using LRU eviction when memory runs low. It supports any MLX-format model from Hugging Face, including Qwen, LLaMA, Mistral, Gemma, DeepSeek, MiniMax, and GLM, and can reuse models already stored in the standard Hugging Face cache, LM Studio folders, or custom directories.
  • 6
    Synap

    Synap

    Linkrra LLC

    Synap is a hosted inference API that gives developers an OpenAI-compatible endpoint for open-weight language models. Applications can connect through familiar OpenAI SDKs and chat-completion requests by changing the API base URL, key and model name. Its catalog includes models such as Qwen3, Qwen3-VL, Qwen3 Coder, Gemma 4 and gpt-oss-20b, with model-specific input and output token rates. Synap supports streaming and tool calling, and applies zero data retention to requests. Developers can use prepaid credits that do not expire, monthly plans, or pay-per-call USDC payments through x402. The service is designed for software developers, AI application builders and teams integrating model inference into applications and agent workflows.
    Starting Price: $0.0675/1M input tokens
  • 7
    Snaggy

    Snaggy

    Mohit G Labs

    Snaggy is a native macOS bookmark manager that saves pages from supported browsers to a searchable local library. Users can save the current page with a keyboard shortcut, organize links into folders, add notes, view page previews, track unread items and pin frequently used links in the menu bar. Snaggy can import bookmarks and folders from other browsers, including Arc pinned tabs. On supported Apple silicon Macs, Apple Intelligence can categorize pages and generate short summaries. A built-in Model Context Protocol (MCP) server lets compatible tools such as Claude, Codex and Cursor search and save links. Snaggy requires macOS 14.2 or later, does not require a Snaggy account or server, and can optionally sync across Macs using iCloud. The app is sold as a one-time purchase; AI sorting requires Apple Intelligence.
  • 8
    Qwen3.8-27B
    Qwen3.8-27B is a compact open-weights model in Alibaba’s Qwen3.8 family, aimed at developers and researchers who want strong local AI performance without using the full Max-scale model. Reports from Alibaba’s Qwen3.8 launch state that Qwen3.8-27B was planned for open-weight release alongside Qwen3.8-Max, expanding access for builders working on AI applications. The model is positioned for coding, research, professional workflows, and local deployment scenarios where a 27B model can be more practical than frontier-scale systems. Qwen3.8’s broader launch emphasizes software development, document processing, data analysis, and professional “cowork” use cases. Qwen3.8-27B is especially relevant for teams that need a capable open model for experimentation, coding agents, assistant workflows, and self-hosted inference. Built for practical deployment, Qwen3.8-27B gives developers a smaller Qwen3.8 option for building AI tools, testing agents, and running advanced language model workflows.
  • 9
    Whisperstream

    Whisperstream

    Lanreal Technologies

    Whisperstream is a desktop dictation app for Windows PCs and Apple silicon Macs (beta) that converts speech into text for the focused field in other applications using a push-to-talk shortcut. After its speech-recognition models are downloaded, dictation can run locally and offline. Available models include NVIDIA Parakeet, Qwen3 ASR and Cohere Transcribe. Optional cleanup uses the on-device Stream-1 Mini model or a provider configured by the user. Features include custom vocabulary and text replacements, app-specific enhancement profiles, searchable transcript history, audio-file transcription, and voice playback and replies for Claude Code and Codex sessions. It supports dictation into compatible text fields without an add-in and is designed for people who want to speak into coding editors, email, documents and other applications. Model downloads, software updates and optional online functions may require internet access.
  • 10
    Zerg Client
    Zerg Client (ZTC) is a beta AI coding agent for developers working in existing code projects. It reads and explores project code, plans changes, edits files, runs commands and tests, and checks results. Users can work in a terminal client or, on Apple Silicon Macs, the native desktop app; named sessions can be saved and resumed. Its screen layer lets the agent open and operate terminal panes (zmux) while users watch. ZTC connects to models through a ZergAI account or local provider API keys; available models depend on the sign-in route and provider access. The command-line client runs headlessly on macOS, Linux, and Windows. ZTC is source-available under the Zerg Source Available License and free to evaluate; other commercial use requires a separate license. Model usage is billed separately.
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    Bonsai Image
    Bonsai Image Ternary 4B MLX 2-bit is a ternary-weight text-to-image diffusion transformer deployment for Apple Silicon. It is built as a quality-oriented Bonsai Image variant, using ternary {−1, 0, +1} transformer weights with FP16 group-wise scaling in the matrix-heavy transformer layers, including Q/K/V projections, output projections, and MLP weights. The model reduces the FLUX.2 Klein 4B transformer from 7.75 GB FP16 to a 1.21 GB Bonsai Image transformer, a 6.4× smaller footprint, while keeping visual quality and prompt fidelity close to the original model. The Apple Silicon deployment payload is 3.88 GB, including the MLX 2-bit diffusion transformer, a 4-bit Qwen3-4B text encoder, and an FP16 Flux2 VAE. After prompt encoding, the text encoder is offloaded, so the denoising loop only keeps the compact transformer and VAE resident. The model uses a 4-step FlowMatchEuler sampler with guidance 1.0 and shift 3.0, with no CFG and no negative prompts required.
  • 12
    Outmake

    Outmake

    Ambedo Labs LLC

    Outmake is a Mac app that runs open AI models on the Mac itself, so a chat, a picture or a video can stay on the machine that made it. It lives in the notch and opens into a full window. It shows which models fit a Mac before anything is downloaded, makes and edits pictures and videos, listens and speaks, and works with Claude, ChatGPT, Gemini and OpenCode for people who use them. Outmake's current public beta is free. It is made by Ambedo Labs in Utah, and runs on macOS 26 or later with Apple silicon. Users can browse models from Hugging Face and Civitai, and use local models without an Outmake account. Cloud-provider features may require the user's own account or API key. Outmake also runs Claude Code and Codex agents and supports Model Context Protocol (MCP) tool servers. It is intended for Mac users exploring local AI, creative workflows, voice interaction and coding agents.
  • 13
    MultiMac

    MultiMac

    NovaSynapse OU

    MultiMac is a native macOS utility for using one keyboard and pointer across multiple Macs on the same local network. Move the pointer across screen edges to switch between paired computers, and share text or images through configurable clipboard directions. It pairs Macs independently of their Apple accounts and includes controls for per-device access. Premium adds screen sharing, remote app windows, and file and folder transfers; these features are available in a 30-day trial and require Premium afterward, while keyboard, pointer, and text/image clipboard sharing remain free. MultiMac supports Intel and Apple silicon Macs running macOS 12.3 or later. A lifetime Premium license is available as a one-time purchase.
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    Sidekick

    Sidekick

    Chetan Pujari

    Sidekick pairs an Android phone with a Mac so users can access selected phone functions from the desktop. The companion apps connect directly over the same local Wi-Fi network after a one-time QR-code pairing. The connection uses TLS 1.3 with certificate pinning and operates without a cloud relay or account. Sidekick can show the phone's screen in a Mac window, display notifications and allow replies when the Android app supports them, transfer photos and files in either direction, and share clipboard contents. It also provides caller alerts and Mac-initiated dialing while call audio remains on the phone, plus media playback controls. Users can send replies to supported message notifications from the Mac. Screen sharing requires approval on the Android device for each session. The software is for Macs with Apple silicon running macOS 11 or later and Android 10 or later. Sidekick is currently an invitation-only beta.
  • 15
    Perisclaw

    Perisclaw

    Hashlabs Holdings

    Perisclaw is an AI executive assistant that works through your existing WhatsApp number and web app. It searches chats for messages, commitments and shared information; summarizes conversations and voice notes; tracks follow-ups; sets reminders; schedules messages; and runs recurring automations and multi-step tasks. Its private browser can sign in to websites and complete web tasks. Users can connect services such as Google Calendar, Gmail, Google Drive, Google Sheets, Slack and Notion, then ask Perisclaw to find information or prepare actions from WhatsApp. It can also expose WhatsApp conversations to compatible AI clients through its Model Context Protocol (MCP) server. Users can scope access to selected chats and services, choose read-only or read-and-write permissions, review proposed replies, and revoke connections. Perisclaw is designed for founders, operators and professionals who manage work through WhatsApp.
  • 16
    Qwen3.6

    Qwen3.6

    Alibaba

    Qwen3.6 is a large language model developed by Alibaba as part of its Qwen AI model family, designed for real-world applications and advanced reasoning tasks. It focuses on improving stability, usability, and performance compared to earlier versions. The model supports multimodal capabilities, allowing it to process and reason across text, images, and other data types. Qwen3.6 is particularly strong in coding and developer workflows, offering improved accuracy for complex programming tasks. It uses a mixture-of-experts architecture, enabling efficient performance while maintaining large-scale model capabilities. The model is designed to be deployable in production environments, including enterprise and cloud-based systems. It can be integrated into applications or run locally using open-weight variants. Overall, Qwen3.6 delivers a powerful, efficient, and versatile AI solution for modern use cases.
  • 17
    Qwen3.8-Flash-Next
    Qwen3.8-Flash-Next is an open-weight multimodal Mixture-of-Experts model and an early preview of the architecture planned for Qwen4. It systematically upgrades attention, residual connections, embeddings, and optimization to improve capability, computational efficiency, model capacity, and training stability. Its hybrid architecture combines Gated DeltaNet, which efficiently compresses historical information, with Qwen Sparse Attention, which selects important context at the micro-block level to reduce attention and indexing costs on long sequences. Gated Residual widens the residual stream into four branches and dynamically controls information flow across layers, while N-gram Embedding adds large-scale local-pattern memory with very little extra per-token computation and can be offloaded to host memory. The model uses a 125B-parameter main network plus 51B N-gram embedding parameters, while activating only 6B parameters per token.
  • 18
    OpenHuman

    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.
  • 19
    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.
  • 20
    DeskWink

    DeskWink

    Viva Essence Ltd

    DeskWink connects compatible web-based AI assistants to selected folders on a user's computer through the Model Context Protocol (MCP). A local command-line interface (CLI) pairs with a remote MCP endpoint, allowing clients such as ChatGPT, Claude, and Gemini to browse, read, and search files, and propose edits. DeskWink previews proposed changes for user approval before applying them. Users choose which folders to share, while sensitive paths and files such as .env and .ssh are blocked by default. File contents are not stored in DeskWink's database or logs. DeskWink is in closed beta, with published beta limits of two computers and 5,000 AI actions per month. The service targets developers and other professionals who want AI assistants to work with local project or work folders. A Windows and macOS CLI is documented.
  • 21
    kluster.ai

    kluster.ai

    kluster.ai

    Kluster.ai is a developer-centric AI cloud platform designed to deploy, scale, and fine-tune large language models (LLMs) with speed and efficiency. Built for developers by developers, it offers Adaptive Inference, a flexible and scalable service that adjusts seamlessly to workload demands, ensuring high-performance processing and consistent turnaround times. Adaptive Inference provides three distinct processing options: real-time inference for ultra-low latency needs, asynchronous inference for cost-effective handling of flexible timing tasks, and batch inference for efficient processing of high-volume, bulk tasks. It supports a range of open-weight, cutting-edge multimodal models for chat, vision, code, and more, including Meta's Llama 4 Maverick and Scout, Qwen3-235B-A22B, DeepSeek-R1, and Gemma 3 . Kluster.ai's OpenAI-compatible API allows developers to integrate these models into their applications seamlessly.
  • 22
    Qwen2

    Qwen2

    Alibaba

    Qwen2 is the large language model series developed by Qwen team, Alibaba Cloud. Qwen2 is a series of large language models developed by the Qwen team at Alibaba Cloud. It includes both base language models and instruction-tuned models, ranging from 0.5 billion to 72 billion parameters, and features both dense models and a Mixture-of-Experts model. The Qwen2 series is designed to surpass most previous open-weight models, including its predecessor Qwen1.5, and to compete with proprietary models across a broad spectrum of benchmarks in language understanding, generation, multilingual capabilities, coding, mathematics, and reasoning.
  • 23
    OpenWorker

    OpenWorker

    OpenWorker

    OpenWorker is an open source, local-first AI coworker that gets everyday tasks done from start to finish instead of only returning answers. Users ask for an outcome, such as a renewal brief, incident report, follow-up message, calendar update, sprint summary, or finished document—and OpenWorker works across the tools where the information already lives. It can connect with Slack, Gmail, Outlook, Google Calendar, Notion, HubSpot, GitHub, Attio, Google Drive, Jira, Linear, Asana, Dropbox, Box, files, and other services through one-click or manual connections. It supports cloud, open-weight, and fully local models, including providers such as OpenAI, Anthropic, Google, xAI, Mistral, DeepSeek, Kimi, Qwen, and Ollama, and users can switch models when a task calls for something different. OpenWorker researches, gathers context, performs multi-step work, creates polished outputs in chat, Slack, Markdown, PDF, images, or files, and checks in before consequential actions.
  • 24
    Private LLM

    Private LLM

    Private LLM

    Private LLM is a local AI chatbot for iOS and macOS that works offline, keeping your information completely on-device, safe, and private. It doesn't need the internet to work, so your data never leaves your device. It stays just with you. With no subscription fees, you pay once and use it on all your Apple devices. It's designed for everyone, with easy-to-use features for generating text, helping with language, and a whole lot more. Private LLM uses the latest AI models quantized with state-of-the-art quantization techniques to provide a high-quality on-device AI experience without compromising your privacy. It's a smart, secure way to get creative and productive, anytime and anywhere. Private LLM opens the door to the vast possibilities of AI with support for an extensive selection of open-source LLM models, including the Llama 3, Google Gemma, Microsoft Phi-2, Mixtral 8x7B family and many more on both your iPhones, iPads and Macs.
  • 25
    Apple Intelligence
    Apple Intelligence is a personal intelligence system integrated into iPhones, iPads, and Macs, designed to enhance user productivity and creativity. It introduces systemwide Writing Tools that assist in proofreading, rewriting, and summarizing text across various applications, including third-party apps. These tools enable users to refine their writing style, making it more professional, friendly, or concise, and can generate summaries, key points, tables, and lists from existing content. Additionally, Apple Intelligence enhances Siri with a new design and richer language understanding, making interactions more natural and capable. It also offers features like Clean Up in Photos, allowing users to remove distracting objects from images with a tap, and improved search capabilities in the Photos app, enabling users to find specific moments in photos and videos by simply describing them.
  • 26
    Fastino

    Fastino

    Fastino

    Fastino is an applied AI platform focused on specialized, open-weight language models and the Fastino Fine-Tuning Agent. The agent lets users describe a task in plain language, then automatically selects the architecture, generates training data, trains and evaluates the model, and returns a task-specific model ready to deploy. Fine-tuning projects can be created and revisited from one interface, with models trained on the user’s terms and deployable in their own environment. The resulting models are designed for production-grade performance, with typical response times under 50 ms, while model weights remain private and owned by the user. Models can move from a task description to a trained result in hours, giving teams a faster path to specialized deployment. Fastino also provides open-source and open-weight models for specialized AI workloads.
  • 27
    Smart Jelly

    Smart Jelly

    Keystone Intelligence Technologies

    Smart Jelly is a macOS personal AI assistant that brings together work context from apps and websites a user allows, meetings, messages, email and notes. It builds encrypted memory on the Mac that users can query by text or voice, with answers linked to sources. Features include cross-app dictation, voice assistance, meeting preparation, in-call prompts, meeting notes and follow-up task tracking. Through a connected Google account, it can draft emails and create documents, spreadsheets, slides and calendar events for review. Optional browser agents carry out web tasks with visible steps and confirmation before payments. Users can expose selected memory read-only to other assistants through MCP. Designed for individual knowledge workers, Smart Jelly runs on Apple silicon Macs with macOS 14 or later. Usage allowances vary by plan; agents are in early access.
  • 28
    Sarvam Indus
    Indus is Sarvam’s official conversational AI interface designed to give users direct access to its flagship sovereign language models through a simple, real-time chat experience. Introduced in February 2026 as a limited beta product, it serves as the primary interface for interacting with Sarvam’s 105-billion-parameter model, bringing advanced reasoning, multilingual understanding, and conversational capabilities into a single application. It is built to deliver an AI experience tailored specifically to Indian users, supporting more than 22 Indian languages, including native scripts and code-mixed inputs, while maintaining contextual understanding aligned with local culture and communication patterns. It enables both text and voice interactions, allowing users to speak naturally and receive responses in text or synthesized speech, creating a voice-first, accessible interface for diverse use cases.
  • 29
    LocalChat.app

    LocalChat.app

    LocalChat.app

    LocalChat is a local-first desktop AI application for macOS that lets you chat with over 300 open-source AI models - completely offline, with zero data collection, and no account required. Built natively for Apple Silicon (M1-M6), LocalChat delivers fast, private AI conversations without ever sending a single byte of data to the cloud. Pay once, own it forever - no subscriptions, no recurring fees. Key Features - Chat with Documents: Attach PDF, XLS, PPT, DOC, etc and ask AI to summarize - Retrieval Augmented Generation (RAG) Support: Index multiple documents and ask questions Benefits - No Subscriptions: One-time payment of just 49$ - End-to-End Privacy: Zero cloud servers. Zero data collection. Zero tracking. Conversations are processed and stored locally on your Mac. - New Models Added every month: We keep up with latest AI models so you don't have to, we suggest what model to use for which tasks
  • 30
    Mirai

    Mirai

    Mirai

    Mirai is a developer-focused on-device AI infrastructure platform designed to convert, optimize, and run machine learning models directly on Apple devices with high performance and privacy. It provides a unified pipeline that enables teams to convert and quantize models, benchmark them, distribute them, and execute inference locally. It is built specifically for Apple Silicon and aims to deliver near-zero latency, zero inference cost, and full data privacy by keeping sensitive processing on the user’s device. Through its SDK and inference engine, developers can integrate AI features into applications quickly, using hardware-aware optimizations that unlock the full power of the GPU and Neural Engine. Mirai also includes dynamic routing capabilities that automatically decide whether a request should run locally or in the cloud based on latency, privacy, or workload requirements.
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    Qwen3-Coder-Next
    Qwen3-Coder-Next is an open-weight language model specifically designed for coding agents and local development that delivers advanced coding reasoning, complex tool usage, and robust performance on long-horizon programming tasks with high efficiency, using a mixture-of-experts architecture that balances powerful capabilities with resource-friendly operation. It provides enhanced agentic coding abilities that help software developers, AI system builders, and automated coding workflows generate, debug, and reason about code with deep contextual understanding while recovering from execution errors, making it well-suited for autonomous coding agents and development-oriented applications. By achieving strong performance comparable to much larger parameter models while requiring fewer active parameters, Qwen3-Coder-Next enables cost-effective deployment for dynamic and complex programming workloads in research and production environments.
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    Fluent

    Fluent

    Epic Bits

    Fluent is a native AI assistant for macOS that lets you use any AI model across any app without switching tools. It brings real-time app context into your AI workflows, allowing you to write, edit, and chat directly where you work. Fluent supports over 500 AI models, including OpenAI, Gemini, Anthropic, Grok, OpenRouter, and local models for full privacy. The app preserves original formatting while helping users rewrite content, compare ideas, and follow up seamlessly. Fluent works inside popular apps like browsers, email clients, note-taking tools, calendars, and document editors. Custom actions and keyboard shortcuts help users stay focused and maintain productivity flow. Designed for Apple Silicon and Intel Macs, Fluent delivers fast, private, and powerful AI assistance with a one-time lifetime license.
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    Geode

    Geode

    OmniIntelliLink Pte. Ltd.

    Geode is an on-device AI application for capturing, understanding, and structuring meetings—processed on your own devices for privacy-sensitive professional work. Geode is built for professionals who need to capture conversations and extract structured insights without routing sensitive content through external processing infrastructure. Learn more at geodeclarity.com. On macOS, Geode performs transcription, speaker separation, and AI summarization directly on Apple Silicon. The iPhone app serves as a lightweight companion for recording and review, while compute-intensive AI processing is handled on the Mac. Geode does not transmit recordings, transcripts, or summaries for remote processing. User content is not used for AI model training. By keeping meeting data local and under the user’s control, Geode supports privacy-sensitive and regulated professional workflows, including legal, consulting, healthcare, and executive use cases.
    Starting Price: $8.99/month/user
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    Air Playit

    Air Playit

    Air Playit

    Air Playit is a free video streaming software app designed to stream videos/audio/movies from PC/Mac to Apple iPhone, iPad, iPod touch, and Google Android OS mobile devices. Providing free media streaming service, Air Playit is capable of streaming 320 different video & audio formats to your mobile devices via WiFi, 3G, and 4G networks. It acts as your personal audio video cloud server and lets you watch HD movies and listen to lossless music on the go. Download and install the AirPlayit server on a PC or Mac. Add movie file(s) to the shared folder. Download and install Client on an iOS/Android device, discover your local or remote server, choose a movie file under your server folder, click "play" and watch the streamed media on iPhone, iPad, etc. WinX DVD Ripper can help you rip & copy any DVDs to the video library on your PC or Mac. Then stream the DVD movies to your iPhone or iPad with Air Playit.
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    Osaurus

    Osaurus

    Osaurus

    Osaurus is a native AI harness for macOS that lets users run open models entirely on their Mac, connect cloud models when greater capability is needed, and carry shared memory across them. Built in Swift for Apple Silicon, it works fully offline with local models through Ollama, MLX, or LM Studio, keeping conversations, code, files, settings, agents, skills, and provider keys on the device unless the user explicitly chooses a cloud provider. A system-wide chat overlay provides quick access from any app, while separate agents can be created for coding, research, file organization, and other jobs, each with its own prompt, history, and memory. Osaurus distills past conversations into relevant facts, loads packaged skills when tasks require them, and gives agents scoped access to working folders, file search, Git, and other tools. Agents can run code in an isolated sandbox, delegate work to subagents, operate on schedules, respond to folder changes, use voice input, and generate images.
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    AgenticCutter

    AgenticCutter

    Götzendorfer

    AgenticCutter is a native video rough-cutting app for Apple Silicon Macs running macOS 26 or later. Import a local recording, transcribe it, review proposed edits as text, approve the cut, and render locally to MP4 or ProRes. It helps creators shorten pauses and make transcript-driven edits while retaining control over the final result. Transcription and rendering run on the Mac. Cutting decisions can use Claude Code or Codex, or a local model through LM Studio; cloud providers may receive transcript text and still frames. Automatic retake cleanup is still in progress and requires manual review. The direct-download app offers a 7-day trial without payment details, then EUR 9.99/month, EUR 79/year, or EUR 149 once for the first 100 buyers. Supported cloud-provider access is supplied by the user.
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    Tinker

    Tinker

    Thinking Machines Lab

    Tinker is a training API designed for researchers and developers that allows full control over model fine-tuning while abstracting away the infrastructure complexity. It supports primitives and enables users to build custom training loops, supervision logic, and reinforcement learning flows. It currently supports LoRA fine-tuning on open-weight models across both LLama and Qwen families, ranging from small models to large mixture-of-experts architectures. Users write Python code to handle data, loss functions, and algorithmic logic; Tinker handles scheduling, resource allocation, distributed training, and failure recovery behind the scenes. The service lets users download model weights at different checkpoints and doesn’t force them to manage the compute environment. Tinker is delivered as a managed offering; training jobs run on Thinking Machines’ internal GPU infrastructure, freeing users from cluster orchestration.
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    Doodi

    Doodi

    Doodi

    Doodi is a social media design and campaign workspace for Apple silicon Macs. Its canvas supports creating and editing social posts, refining supported text and image layers, reusing templates, and organizing campaign projects with brand context and assets. Users can import Canva design links or unflattened PDFs, although some fonts, effects and elements may not transfer as editable content. Doodi syncs project data across up to two active Macs and can connect to compatible local AI clients through its Model Context Protocol (MCP) server. Users can prepare, schedule and publish content through connected social accounts. The app requires a Doodi account, internet access and a compatible Mac; AI-provider charges and renewals for updates or publishing are separate from the design license.
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    Memoe

    Memoe

    Memoe

    Memoe is a native macOS assistant for voice-driven computer interaction and task automation. Users can hold a keyboard shortcut in another app and speak a request, type to Moe, or enable the “Hey Moe” wake phrase. Memoe can work with connected mail, messages, and calendars; take meeting notes locally without joining the call; and operate Mac applications. The vendor reports connections to about 1,400 services. Memory is stored as editable plain files on the Mac, and Memoe asks for confirmation before sending content to another person. Speech recognition and voice processing run locally. Responses can use an existing ChatGPT or Claude plan, an API key, or a model running on the Mac. The vendor states that on-Mac features are free. Memoe is in beta and requires an Apple silicon Mac running macOS 15 or later.
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    Recursive Flint
    Recursive Flint is a 40-billion-parameter mixture-of-experts language model for agentic coding on local hardware. It activates about 2.5 billion parameters per token and supports reasoning, multi-turn tool use, and context windows up to 512,000 tokens. Developers can use Flint with coding agents to inspect codebases, fix bugs, implement features, and write tests while running inference on their own hardware. Its weights are published under the Apache 2.0 license. Flint works with llama.cpp, Ollama, Unsloth, LM Studio, vLLM, and SGLang; Recursive also provides rec, an inference engine optimized for Apple Silicon M4 Pro and M5 Pro/Max. Setup documentation and examples help developers run the model locally. Flint is for developers and technical teams that want to operate and adapt a code-focused model on their own systems.
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    Hydra Dev Studio

    Hydra Dev Studio

    Hankinsoft Development, Inc

    Hydra Dev Studio is a native macOS workspace for developers who manage databases, remote servers, storage, and source code. It combines database tools, transfers, cloud storage, SSH, Git, editing, and file comparison in one app. Connections cover major SQL and NoSQL databases, file-transfer protocols, cloud storage, SMB, and local folders. Users can inspect schemas and tables, edit remote files, compare local and server folders, stage Git changes by file or hunk, and resolve merge conflicts. Workspaces organize connections, credentials, and notes, with optional iCloud library sync between Macs. A command-line tool and MCP server let approved agents and scripts use saved connections without receiving passwords. Activity logging and approval controls apply to selected operations. It is for software developers, database administrators, and DevOps professionals using Apple silicon Macs with macOS 26 or later.
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    Bitdefender VPN for AI Agents
    Bitdefender VPN for AI Agents is an installable macOS utility that routes network requests from supported AI agents through Bitdefender VPN servers. It connects Claude Desktop, Cursor, Codex, and OpenCode through Bitdefender MCP tools. Each routed prompt receives a separate encrypted connection and isolated container, which closes when the prompt ends; users can select an exit location for regional testing. The product is intended for individual developers and freelancers using agents for web research, quality assurance, and comparison tasks. It is not a device-wide VPN: traffic outside the supported agent tools is not covered, and the VPN does not conceal prompts from the AI service provider. The beta installer requires macOS 13 or later on Apple silicon; Intel Macs are not supported. The vendor says Windows support is planned.
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    Gemma

    Gemma

    Google

    Gemma is a family of lightweight, state-of-the-art open models built from the same research and technology used to create the Gemini models. Developed by Google DeepMind and other teams across Google, Gemma is inspired by Gemini, and the name reflects the Latin gemma, meaning “precious stone.” Accompanying our model weights, we’re also releasing tools to support developer innovation, foster collaboration, and guide the responsible use of Gemma models. Gemma models share technical and infrastructure components with Gemini, our largest and most capable AI model widely available today. This enables Gemma 2B and 7B to achieve best-in-class performance for their sizes compared to other open models. And Gemma models are capable of running directly on a developer laptop or desktop computer. Notably, Gemma surpasses significantly larger models on key benchmarks while adhering to our rigorous standards for safe and responsible outputs.
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    xPrivo

    xPrivo

    xPrivo

    A free, open-source AI chat alternative to ChatGPT and Perplexity that prioritizes your privacy and anonymity. No account required – not even for PRO features. All chats are stored locally on your device and never logged or used for training. Key Features: - 100% Anonymous | Zero personal data collection - EU-hosted models - GDPR-compliant servers running Mistral 3, DeepSeek V3.2, and other powerful open-source models behind the default xprivo model - Web search with sources. Get fact-checked, current information - Self-hostable. Run it on your own infrastructure or use the hosted version - BYOK support. Connect your own API keys from OpenAI, Anthropic, Grok, etc. - Local-first. Your chat history never leaves your device - Open source. Fully auditable code on GitHub - Use it with ollama to chat with your local models fully offline Perfect for privacy-conscious users who want powerful AI assistance without compromising their anonymity.
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    Aurio

    Aurio

    Aurio

    Aurio is a macOS application that reduces background noise from a microphone in real time and routes the processed signal through a virtual input device called Aurio Microphone. Users select that input in compatible calling, recording, or streaming apps, allowing the same cleaned microphone audio to be used across apps. Aurio works with a Mac’s built-in microphone, USB or XLR audio interfaces, and Bluetooth headsets, and includes an adjustable noise-removal strength control, an A/B audio preview, and a menu-bar on/off control. Audio processing runs locally on Apple silicon Macs and works offline. Aurio is intended for Mac users who take calls, record audio, or stream where fans, traffic, keyboard noise, or other background sounds may be picked up. It requires macOS 13.3 or later and an Apple silicon Mac; Intel Macs are not supported.
    Starting Price: Starting price $40, one-time p
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    FoldersSynchronizer
    FoldersSynchronizer is a nifty and popular utility for macOS (Apple Silicon and Intel) which synchronizes and backs-up files, folders and disks. You can choose one or more pairs of files, folders or disks then FS will synchronize or backup those exactly. FS lets you organize your sync and backup on several sessions you can save to a file for a later reuse. On each session you can apply special options like Timers, Multiple pairs of folders, Filters, Exclude Items, Auto-Mount local and remote volumes, launch your own AppleScripts, set how to resolve Conflicts, execute an incremental or an exact copy, include locked files... FS can display a preview panel listing all the files FS is going to copy, replace and delete. FS can save a log file or send it to a custom email address, and it can sync and automatically quit the application… FoldersSynchronizer has been successfully tested on macOS 14 Sonoma. Previous versions for previous macOSs, for Intel and PPC are available too.
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    Jan

    Jan

    Jan.ai

    Jan is an open-source personal AI assistant designed to run locally on your device, giving you full control over your data and privacy. It allows users to interact with AI models without relying on cloud-based services or incurring API costs. The platform supports a wide range of models, including popular options from OpenAI, Anthropic, Google, Meta, and others. Jan provides a clean, user-friendly interface that makes it easy to chat, research, and complete tasks efficiently. It also includes real-time web search capabilities to enhance responses with up-to-date information. Users can customize their experience by selecting different models and integrating external providers. Jan is lightweight and optimized for performance, enabling smooth operation even on personal machines. It empowers users to build a private, flexible AI environment tailored to their needs.
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    Tencent Yuanbao
    Tencent Yuanbao is an AI-powered assistant that has quickly become popular in China, leveraging advanced large language models, including Tencent's proprietary Hunyuan model, and integrating with DeepSeek. The application excels in areas like Chinese language processing, logical reasoning, and efficient task execution. Yuanbao's popularity has surged in recent months, even surpassing competitors such as DeepSeek to top the Apple App Store download charts in China. A key driver of its growth is its deep integration into the Tencent ecosystem, particularly within WeChat, further enhancing its accessibility and functionality. This rapid rise highlights Tencent's growing ambition in the competitive AI assistant market.
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    LFM3

    LFM3

    Liquid AI

    LFM3 is Liquid AI’s family of compact, open-weight foundation models for text, vision, audio, and multimodal tasks. The release includes text-generation, vision-language, audio, omni, and decision-model variants. Developers can download the model weights, adapt supported models through fine-tuning, and run them locally on edge hardware or access them through Liquid AI’s hosted API. Use cases include conversational assistants, tool calling, speech transcription and generation, image and video understanding, document extraction, classification, routing, and robotics applications. LFM3 is intended for developers, researchers, and organizations building specialized AI applications that need flexible deployment choices, including local inference. Open-weight models are available under Liquid AI’s LFM Open License; commercial eligibility and terms depend on an organization’s annual revenue.
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    Geovo

    Geovo

    Geovo

    Geovo changes an iPhone or iPad's reported location so developers and QA teams can test location features and create demos, while other users can control location data shared with apps. Mac and Windows apps set up and install the Geovo iPhone app. After initial computer setup with the separate free LocalDevVPN app, the iPhone app can work independently. Users can jump to map locations, simulate road travel, create multi-stop routes, import GPX or KML files, steer with a joystick, and save trips. One tap restores the real location. The iPhone app requires renewal every seven days using the user's Apple ID; Geovo does not store the password, and location data stays on the user's devices. It supports iPhone and iPad with iOS 17.4 or later, Mac computers with Apple silicon or Intel processors, and Windows 10 or 11 PCs. A free account includes a 15-minute trial. Paid plans start at $6.99 per week, with monthly, quarterly, annual, and lifetime options.