Alternatives to NevTan AI

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

  • 1
    Nemotron 3.5 Bolt
    NVIDIA Nemotron 3.5 Bolt is a family of open artificial intelligence models designed for local AI agents, autonomous task execution, and conversational applications. The family includes Nemotron 3.5 Bolt 74B-A9B, a 74-billion-parameter mixture-of-experts model with approximately 9 billion active parameters, and Nemotron 3.5 Bolt E4B, a compact model optimized for conversational agents. The 74B-A9B variant uses native 2-bit quantization to operate within approximately 24GB of memory on compatible NVIDIA hardware. Its agentic capabilities support web research, software development, code debugging, and multistep task automation without requiring cloud-based inference. The E4B variant targets local voice assistants, interactive characters, and embedded applications with a 4GB memory footprint. Nemotron 3.5 Bolt supports deployment on NVIDIA RTX systems, DGX Spark, and other compatible hardware, giving developers greater control over inference, application data, and local AI workflows.
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    Nativ

    Nativ

    Blaizzy

    Nativ is a 100% open-source macOS app for running OpenAI models locally on Apple Silicon, putting frontier intelligence directly on your desk with no accounts or cloud required. It provides a clean chat interface with streaming responses, Markdown, code highlighting, image input, and per-message performance metrics, with every response generated locally. A curated model library includes open models from teams such as Google, Cohere, and Liquid AI, while Nativ recommends models suited to the hardware in your Mac. Built on MLX-VLM and tuned for M-series unified memory and Metal, it runs models without wrappers or translation layers. Live telemetry exposes tokens per second, memory pressure, thermal state, and time to first token so users can see what is actually happening during inference. Nativ supports language, vision, video, code, and audio workflows, including chatting with LLMs, captioning images, summarizing video, autocompleting code, transcribing audio, and generating speech.
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    NevTan Cloud
    NevTan Cloud is an AI-native cloud platform that combines AI inference, application hosting, managed databases, object storage, and infrastructure services into a single developer environment. The platform provides an OpenAI-compatible API for more than 200 AI models while allowing developers to deploy applications, manage databases, and store data from one unified console. NevTan supports modern frameworks such as Next.js, Django, Rails, FastAPI, Go, and containerized applications with Git-based deployment workflows. Built-in observability, monitoring, and centralized billing help teams manage applications, infrastructure, and AI workloads without juggling multiple cloud providers. Developers can deploy managed PostgreSQL databases with pgvector, S3-compatible object storage, and scalable inference services using a single identity and API key.
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    Sanctum

    Sanctum

    Sanctum

    Sanctum is a private, local AI assistant that lets users run and interact with full-featured open source LLMs locally on their own device. It is built as a private Sanctum for AI, where data is encrypted, secure, and never leaves the user’s computer. It makes it easy to run AI locally, with an easy-to-download desktop solution that lets users run large language models on a Mac instantly without complicated installs, and after downloading, no internet connection is required. Sanctum is designed around privacy-first local processing: with on-device encryption and processing, users maintain complete privacy and control. Its Hugging Face integration gives access to thousands of GGUF models directly through Sanctum, making it possible to check compatibility, download models, and start using them on a PC or Mac. Sanctum also supports private PDF workflows, allowing users to chat with PDFs, ask questions, and summarize files in a secure environment.
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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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    Atomic Agent

    Atomic Agent

    Atomic Agent

    Atomic Agent is an open-source, local-first AI agent that runs on your own machine from the terminal. It drives your real tools — shell, files, and browser — and keeps every session on your own disk. Point it at a local model through llama.cpp, or connect a hosted model when you want more power. You choose the model, you own the data, you stay in control. No cloud lock-in. Install with a single command on macOS, Linux, or Windows. Built for developers and power users who want a capable autonomous agent without shipping their work to someone else's cloud.
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    Tinfoil

    Tinfoil

    Tinfoil

    Tinfoil is a verifiably private AI platform built to deliver zero-trust, zero-data-retention inference by running open-source or custom models inside secure hardware enclaves in the cloud, giving you the data-privacy assurances of on-premises systems with the scalability and convenience of the cloud. All user inputs and inference operations are processed in confidential-computing environments so that no one, not even Tinfoil or the cloud provider, can access or retain your data. It supports private chat, private data analysis, user-trained fine-tuning, and an OpenAI-compatible inference API, covers workloads such as AI agents, private content moderation, and proprietary code models, and provides features like public verification of enclave attestation, “provable zero data access,” and full compatibility with major open source models.
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    Kolosal AI

    Kolosal AI

    Kolosal AI

    Kolosal AI is a cutting-edge platform that enables users to run local large language models (LLMs) directly on their devices, ensuring full privacy and control without the need for cloud-based dependencies. This lightweight, open-source application allows for seamless chat and interaction with local LLMs, providing powerful AI capabilities on personal hardware. Kolosal AI emphasizes speed, customization, and security, making it ideal for users who need a private, offline solution to work with LLMs without any subscriptions or external services.
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    Note67

    Note67

    Note67

    Note67 is a privacy-centric meeting assistant designed for professionals who demand total control over their data. Unlike traditional transcription tools that rely on cloud processing, Note67 is an open-source, local-first application for macOS that captures audio, transcribes speech, and generates intelligent summaries entirely on your device. No audio or text ever leaves your machine, ensuring zero data leakage. Built with performance and security in mind, the application leverages the power of Rust and Tauri to deliver a lightweight, native experience. It integrates seamless local AI capabilities, utilizing Whisper for high-accuracy speech-to-text and Ollama for generating insightful meeting summaries using local Large Language Models (LLMs). Key Features: 100% Local Processing: Powered by on-device Whisper models, ensuring your audio and transcripts remain completely private.
  • 10
    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.
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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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    Xinity

    Xinity

    Xinity

    Xinity is open-source, OpenAI-compatible LLM inference software that lets European enterprises run generative AI entirely on their own servers. The platform installs on existing hardware and exposes an OpenAI-compatible API, so existing applications migrate by changing one base URL. No cloud dependency, no data egress, no exposure to the US CLOUD Act. The core engine is open source under Apache 2.0 and supports open-weight models, including European sovereign models, with automatic model routing, audit trails on every inference request, role-based access control, and multi-node orchestration. Xinity is built in Vienna, Austria for regulated industries such as finance, healthcare, legal, public sector, and media, including fully air-gapped environments, and is designed for GDPR and EU AI Act requirements.
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    SillyTavern

    SillyTavern

    SillyTavern

    SillyTavern is a free, open-source AI chat platform that allows users to create and interact with AI-generated characters, making it ideal for role-playing, storytelling, and fan fiction. As a locally installed user interface, it connects to various large language models like OpenAI, KoboldAI, and Claude, providing a customizable and immersive experience. Users can engage in individual or group chats, craft prompts to steer conversations, and utilize features like chat bookmarks and a customizable user interface. SillyTavern supports extensions and is compatible many devices. While the software is free, users need to connect it to an AI model backend, which may involve additional costs depending on the chosen model. Add bookmarks to any point in a chat to easily hop back in for reading or to start the chat back up in a new direction.
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    Fireworks AI

    Fireworks AI

    Fireworks AI

    Fireworks partners with the world's leading generative AI researchers to serve the best models, at the fastest speeds. Independently benchmarked to have the top speed of all inference providers. Use powerful models curated by Fireworks or our in-house trained multi-modal and function-calling models. Fireworks is the 2nd most used open-source model provider and also generates over 1M images/day. Our OpenAI-compatible API makes it easy to start building with Fireworks. Get dedicated deployments for your models to ensure uptime and speed. Fireworks is proudly compliant with HIPAA and SOC2 and offers secure VPC and VPN connectivity. Meet your needs with data privacy - own your data and your models. Serverless models are hosted by Fireworks, there's no need to configure hardware or deploy models. Fireworks.ai is a lightning-fast inference platform that helps you serve generative AI models.
    Starting Price: $0.20 per 1M tokens
  • 15
    Ai2 OLMoE

    Ai2 OLMoE

    The Allen Institute for Artificial Intelligence

    Ai2 OLMoE is a fully open source mixture-of-experts language model that is capable of running completely on-device, allowing you to try our model privately and securely. Our app is intended to help researchers better explore how to make on-device intelligence better and to enable developers to quickly prototype new AI experiences, all with no cloud connectivity required. OLMoE is a highly efficient mixture-of-experts version of the Ai2 OLMo family of models. Experience which real-world tasks state-of-the-art local models are capable of. Research how to improve small AI models. Test your own models locally using our open-source codebase. Integrate OLMoE into other iOS applications. The Ai2 OLMoE app provides privacy and security by operating completely on-device. Easily share the output of your conversations with friends or colleagues. The OLMoE model and the application code are fully open source.
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    CMEM Cloud

    CMEM Cloud

    cmem.ai

    CMEM Cloud is the cloud sync layer for claude-mem, built to link AI agent memory everywhere through one private MCP link. claude-mem is the open source engine that takes notes while an agent works, and CMEM Cloud mirrors that local memory so agents can recall it across every session, machine, editor, and MCP-compatible client. Instead of making users re-explain context, paste old notes, or restart from zero, the system captures decisions, bug fixes, dead ends, environment notes, architecture choices, and other structured observations as the agent works. Those observations are stored in a temporal database, searched by meaning through vector recall, and made available through a private MCP endpoint that any compatible agent can read and write through. It starts with installing the local engine, letting a second model write structured notes out of band, syncing the local database to CMEM Cloud, and then recalling that memory anywhere.
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    ChainForge

    ChainForge

    ChainForge

    ChainForge is an open-source visual programming environment designed for prompt engineering and large language model evaluation. It enables users to assess the robustness of prompts and text-generation models beyond anecdotal evidence. Simultaneously test prompt ideas and variations across multiple LLMs to identify the most effective combinations. Evaluate response quality across different prompts, models, and settings to select the optimal configuration for specific use cases. Set up evaluation metrics and visualize results across prompts, parameters, models, and settings, facilitating data-driven decision-making. Manage multiple conversations simultaneously, template follow-up messages, and inspect outputs at each turn to refine interactions. ChainForge supports various model providers, including OpenAI, HuggingFace, Anthropic, Google PaLM2, Azure OpenAI endpoints, and locally hosted models like Alpaca and Llama. Users can adjust model settings and utilize visualization nodes.
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    Stochastic

    Stochastic

    Stochastic

    Enterprise-ready AI system that trains locally on your data, deploys on your cloud and scales to millions of users without an engineering team. Build customize and deploy your own chat-based AI. Finance chatbot. xFinance, a 13-billion parameter model fine-tuned on an open-source model using LoRA. Our goal was to show that it is possible to achieve impressive results in financial NLP tasks without breaking the bank. Personal AI assistant, your own AI to chat with your documents. Single or multiple documents, easy or complex questions, and much more. Effortless deep learning platform for enterprises, hardware efficient algorithms to speed up inference at a lower cost. Real-time logging and monitoring of resource utilization and cloud costs of deployed models. xTuring is an open-source AI personalization software. xTuring makes it easy to build and control LLMs by providing a simple interface to personalize LLMs to your own data and application.
  • 19
    NevTan Mail
    NevTan Mail is a secure and professional business email solution designed for businesses, startups, teams, and organizations. Create professional email addresses using your own custom domain and manage your business communication from a secure, easy-to-use inbox. NevTan Mail offers up to 10 free email accounts with 35 GB of free storage, making it a practical choice for businesses getting started with professional email. Additional mailboxes are also available at an affordable price. With NevTan Mail, businesses can maintain a professional online identity, organize their communications, and access their email through a reliable business-focused platform.
    Starting Price: FREE 5 GB
  • 20
    IONOS Cloud AI Model Hub
    IONOS AI Model Hub is a fully managed cloud platform designed to simplify the integration and deployment of advanced artificial intelligence models within applications and digital services. It provides access to powerful open-source foundation models that can generate text, create images, and support conversational question-and-answer systems through a unified API. It enables developers to build AI-driven applications without needing to manage the underlying infrastructure or specialized hardware required to run large machine learning models. It incorporates technologies such as vector databases and Retrieval-Augmented Generation (RAG), which allow applications to retrieve relevant information from data sources and combine it with generative AI responses to produce more accurate and contextual outputs.
    Starting Price: $0.17 per 1M tokens
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    AnythingLLM

    AnythingLLM

    AnythingLLM

    Any LLM, any document, and any agent, fully private. Install AnythingLLM and its full suite of tools as a single application on your desktop. Desktop AnythingLLM only talks to the services you explicitly connect to and can run fully on your machine without internet connectivity. We don't lock you into a single LLM provider. Use enterprise models like GPT-4, a custom model, or an open-source model like Llama, Mistral, and more. PDFs, word documents, and so much more make up your business, now you can use them all. AnythingLLM comes with sensible and locally running defaults for your LLM, embedder, and storage for full privacy out of the box. AnythingLLM is free for desktop or self-hosted via our GitHub. AnythingLLM cloud hosting starts at $50/month and is built for businesses or teams that need the power of AnythingLLM, but want to have a managed instance of AnythingLLM so they don't have to sweat the technical details.
    Starting Price: $50 per month
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    Liquid Apollo

    Liquid Apollo

    Liquid AI

    Liquid Apollo is a lightweight mobile application designed for fully on-device, cloud-free AI interactions, enabling users to engage with advanced language and vision models securely, privately, and with low latency. It supports a library of small foundation models from the company’s LEAP platform, allowing users to draft messages, emails, chat with a private AI assistant, craft digital characters, or use image-to-text capabilities, all without an internet connection and with no data leaving the device. Apollo is optimized for real-time responsiveness and offline operation, ensuring that inference happens entirely locally, with no API calls, servers, or user-data logging involved. It serves as both a personal AI playground and a testing bed for developers using LEAP models, letting one “vibe-check” how a model performs on their own mobile hardware before broader deployment.
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    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
    Starting Price: $50 Lifetime
  • 24
    LM Studio

    LM Studio

    LM Studio

    Use models through the in-app Chat UI or an OpenAI-compatible local server. Minimum requirements: M1/M2/M3 Mac, or a Windows PC with a processor that supports AVX2. Linux is available in beta. One of the main reasons for using a local LLM is privacy, and LM Studio is designed for that. Your data remains private and local to your machine. You can use LLMs you load within LM Studio via an API server running on localhost.
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    HeyWoozy

    HeyWoozy

    Creative Crew Studio

    HeyWoozy is an AI receptionist for local service businesses like barbers, salons, dentists, plumbers and gyms. It answers your WhatsApp, Facebook and Instagram messages the second a customer gets in touch, day or night, so you never lose a lead to a slow reply. Woozy books appointments, captures contact details, answers your common questions in the customer's own language, and hands over to your team with full context when a human is needed. It learns your business from your website in about a minute. Flat monthly pricing, no per-message fees, and a 7-day free trial.
    Starting Price: 59/month
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    LM Studio Bionic
    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.
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    MiniMax-M2.1
    MiniMax-M2.1 is an open-source, agentic large language model designed for advanced coding, tool use, and long-horizon planning. It was released to the community to make high-performance AI agents more transparent, controllable, and accessible. The model is optimized for robustness in software engineering, instruction following, and complex multi-step workflows. MiniMax-M2.1 supports multilingual development and performs strongly across real-world coding scenarios. It is suitable for building autonomous applications that require reasoning, planning, and execution. The model weights are fully open, enabling local deployment and customization. MiniMax-M2.1 represents a major step toward democratizing top-tier agent capabilities.
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    Google AI Edge Gallery
    Google AI Edge Gallery is an experimental, open source Android app that demonstrates on-device machine learning and generative AI use cases, letting users download and run models locally (so they work offline once installed). It offers several features including AI Chat (multi-turn conversation), Ask Image (upload or use images to ask questions, identify objects, get descriptions), Audio Scribe (transcribe or translate recorded/uploaded audio), Prompt Lab (for single-turn tasks such as summarization, rewriting, code generation), and performance insights (metrics like latency, decode speed, etc.). Users can switch between different compatible models (including Gemma 3n and models from Hugging Face), bring their own LiteRT models, and explore model cards and source code for transparency. The app aims to protect privacy by doing all processing on the device, no internet connection needed for core operations after models are loaded, reducing latency, and enhancing data security.
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    Spanlens

    Spanlens

    Spanlens

    Spanlens is an open-source (MIT) LLM observability platform that lets developers monitor every call their application makes to OpenAI, Anthropic, Gemini, Mistral, OpenRouter, Azure OpenAI, or a local Ollama model. Integration takes one line: swap your client's baseURL to the Spanlens proxy, or run "npx @spanlens/cli init" and the wizard rewrites your code automatically. From that moment, every request is recorded with its model, token counts, latency, cost, and full prompt and response body, with streaming responses reconstructed automatically. The dashboard turns that raw log into operational insight. Cost tracking breaks spend down per request, per model, and per end user, and parses prompt-cache tokens separately so you see real cache savings rather than sticker price. Agent tracing visualizes multi-step workflows as Gantt waterfalls and node-and-edge graphs, highlighting the critical path so you can find the slowest dependency chain in a fan-out.
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    Image MetaHub

    Image MetaHub

    Image MetaHub

    Image MetaHub is a local-first, open-source desktop app for managing AI-generated images and videos. It automatically reads generation metadata from tools such as ComfyUI, Automatic1111, Forge, Fooocus, InvokeAI, SwarmUI, SD.Next and Draw Things, making it easier to search, compare, organize and continue previous generations. Users can browse large local libraries, inspect prompts, models, LoRAs, seeds, samplers, steps and workflows, compare variations side by side, add tags and notes, preserve PNG metadata on export, and send images or prompts back into supported generation tools for further work. Image MetaHub is designed for creators who want full control of their media library without uploading files to the cloud, keeping their AI outputs, workflows and metadata private and accessible on their own machine.
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    Odysseus

    Odysseus

    PewDiePie

    Odysseus is an open-source, self-hosted AI workspace that allows users to interact with language models directly on their own hardware. The platform combines AI chat, autonomous agents, research tools, model management, email assistance, and persistent memory into a single local-first environment. Users can connect their preferred language models and endpoints while maintaining complete control over their data and infrastructure. Built-in capabilities include tool integration, model comparison, deep research workflows, and support for MCP servers. Odysseus is designed with privacy in mind, operating without telemetry and keeping sensitive information within the user’s environment. By providing a unified workspace for AI-powered tasks, Odysseus helps users leverage advanced AI functionality without relying on third-party cloud platforms.
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    AiXcoder

    AiXcoder

    AiXcoder

    Leave Artificial Intelligence to AIXcoder. Leave Real Intelligence to Human. The offline version is released! Your code is safe on your computer locally. AiXcoder works in smooth locally with state of art deep learning model compression techniques. The models are trained with a massive amount of open source code. And adapted to several areas. A search window is seamlessly integrated into IDE with the ability to search open-source code on GitHub. Deep learning is used to filter high-quality code as search results. Search API usage and examples. Search similar code to avoid duplicated coding. Project Level Personalized Training: Train models on personal project and computer. Enterprise Level Customized Training: Train models on code base and enterprise server. Based on standard model, personalized and customized training will learn the patterns and rules in your proprietary code.
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    dcode

    dcode

    LangChain

    dcode is an open-source terminal coding agent for developers and software teams. Built on the Deep Agents SDK, it can plan and execute coding tasks, inspect and edit project files, run tools, and delegate work to subagents. Its interactive terminal interface streams responses and lets users resume conversations across sessions; headless mode supports scripted and CI workflows. Users select a compatible model provider and supply their own credentials, then customize models, tools, plugins, skills, memory, middleware, hooks, and approval rules. Tool calls can be approved or rejected, and code can run locally or in supported remote sandboxes. dcode supports MCP tools and can connect to LangSmith for tracing prompts, responses, tool calls, errors, and token usage. It is intended for developers who want to configure and inspect an AI coding agent rather than use a fixed coding assistant.
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    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.
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    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.
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    VoiceTypr

    VoiceTypr

    VoiceTypr

    VoiceTypr is an offline, AI-powered voice-to-text tool available for both Windows and macOS that lets you dictate anywhere you can type by simply holding or toggling a hotkey, with automatic transcription directly into applications such as chat editors, code editors, email fields, and text boxes. It supports over 100 languages, offers multiple transcription-model choices (focusing on accuracy or speed), includes smart formatting modes for everything from casual chat to formal documents, and maintains a searchable history of transcriptions that you can export or copy. Crucially, all processing occurs locally on your machine, so your audio stays private. You simply install the app, download your preferred model, set a global hotkey, then speak and ship, whether you’re writing code prompts, emails, notes, or messages. Additional features include drag-and-drop transcription of MP3, WAV, M4A, MP4, or MOV files, global hotkey activation, and hardware hardware-accelerated performance.
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    Airtrain

    Airtrain

    Airtrain

    Query and compare a large selection of open-source and proprietary models at once. Replace costly APIs with cheap custom AI models. Customize foundational models on your private data to adapt them to your particular use case. Small fine-tuned models can perform on par with GPT-4 and are up to 90% cheaper. Airtrain’s LLM-assisted scoring simplifies model grading using your task descriptions. Serve your custom models from the Airtrain API in the cloud or within your secure infrastructure. Evaluate and compare open-source and proprietary models across your entire dataset with custom properties. Airtrain’s powerful AI evaluators let you score models along arbitrary properties for a fully customized evaluation. Find out what model generates outputs compliant with the JSON schema required by your agents and applications. Your dataset gets scored across models with standalone metrics such as length, compression, coverage.
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    FauxPilot

    FauxPilot

    FauxPilot

    FauxPilot is an open source, self-hosted alternative to GitHub Copilot. It utilizes the SalesForce CodeGen models on NVIDIA's Triton Inference Server with the FasterTransformer backend for local code generation. It requires Docker, an NVIDIA GPU with sufficient VRAM, and the ability to split the model across multiple GPUs if needed. The setup involves downloading models from Hugging Face and converting them for FasterTransformer compatibility.
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    Apache PredictionIO
    Apache PredictionIO® is an open-source machine learning server built on top of a state-of-the-art open-source stack for developers and data scientists to create predictive engines for any machine learning task. It lets you quickly build and deploy an engine as a web service on production with customizable templates. Respond to dynamic queries in real-time once deployed as a web service, evaluate and tune multiple engine variants systematically, and unify data from multiple platforms in batch or in real-time for comprehensive predictive analytics. Speed up machine learning modeling with systematic processes and pre-built evaluation measures, support machine learning and data processing libraries such as Spark MLLib and OpenNLP. Implement your own machine learning models and seamlessly incorporate them into your engine. Simplify data infrastructure management. Apache PredictionIO® can be installed as a full machine learning stack, bundled with Apache Spark, MLlib, HBase, Akka HTTP, etc.
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    Private Mind

    Private Mind

    Software Mansion

    Private Mind is an on-device AI assistant that works entirely offline, giving users local AI with total privacy. It is built around the belief that AI should live on the user’s device, with conversations, files, prompts, and data staying local instead of being sent to the cloud. Users can chat with the assistant without Wi-Fi, sign-ups, tracking, or cloud dependency, making it useful for planning trips, translating text, brainstorming ideas, analyzing data, learning new things, or getting help when internet access is unavailable. Private Mind supports chat with files, allowing users to interact with their own documents through on-device AI and intelligent retrieval without sending private material outside the device. It also includes speech-to-text, so users can speak naturally and get instant local transcriptions using Whisper. It supports multiple open-source AI models.
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    RedPajama

    RedPajama

    RedPajama

    Foundation models such as GPT-4 have driven rapid improvement in AI. However, the most powerful models are closed commercial models or only partially open. RedPajama is a project to create a set of leading, fully open-source models. Today, we are excited to announce the completion of the first step of this project: the reproduction of the LLaMA training dataset of over 1.2 trillion tokens. The most capable foundation models today are closed behind commercial APIs, which limits research, customization, and their use with sensitive data. Fully open-source models hold the promise of removing these limitations, if the open community can close the quality gap between open and closed models. Recently, there has been much progress along this front. In many ways, AI is having its Linux moment. Stable Diffusion showed that open-source can not only rival the quality of commercial offerings like DALL-E but can also lead to incredible creativity from broad participation by communities.
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    claude-mem

    claude-mem

    cmem.ai

    claude-mem is an offline-first cloud memory for AI agents, built around an open source engine and a cloud sync layer that links agent memory everywhere through one private MCP link. It is designed so coding agents and AI assistants do not start from zero every session, every machine, or every editor. claude-mem takes notes while an agent works, capturing decisions, fixes, dead ends, environment notes, architecture choices, and other structured observations in a temporal database. CMEM Cloud then mirrors that local memory behind a private Model Context Protocol endpoint, allowing any compatible agent or IDE to read and write the same memory across tools such as Claude Code, Cursor, Windsurf, OpenCode, Codex CLI, Gemini CLI, and VS Code. It works locally first, with or without a network, while keeping memory synchronized when cloud access is available.
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    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
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    NevTan Engage

    NevTan Engage

    NevTan Engage

    NevTan Engage helps businesses automate customer communication and scale engagement across every channel that matters. The platform unifies email, SMS, WhatsApp, Telegram and push notifications with AI-powered personalization, visual workflow journeys, audience segmentation, and A/B testing — giving teams the tools to run sophisticated lifecycle campaigns without stitching together multiple vendors. Used by eCommerce brands, mobile apps, gaming studios, media companies, fintechs, and education businesses, NevTan Engage scales from a founder's first welcome series to enterprise-grade engagement programs. A flexible API, native integrations with leading CRM, eCommerce, and analytics tools, and detailed reporting make it straightforward to plug into existing stacks and measure what's working. With transparent pricing, modern AI and automation capabilities, and infrastructure built for high-volume sending across channels, NevTan Engage supports companies at every growth stage.
    Starting Price: $7.99/month
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    ClaimBuster

    ClaimBuster

    ClaimBuster

    ClaimBuster is the umbrella under which all fact-checking related projects for the IDIR Lab fall under. It started as an effort to create an AI model that could automatically detect claims worth checking. Since then it has steadily made progress towards the holy grail of automated fact-checking. ClaimBuster is mainly used by journalists, but in reality, anyone interested in tackling misinformation can make use of it. Our API provides easy access to our models and is accessible by just registering for a free API key. ClaimBuster is made possible by human data-labeling contributions. Feel free to sign up for an account and begin labeling to help us deliver better models. We have also open-sourced our machine learning model training code, so if you are a savvy AI engineer feel free to make contributions there as well. Our claim-spotting model re-tweets tweets it thinks may need fact-checking.
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    SMS Deliverer

    SMS Deliverer

    TJY Software

    SMS Deliverer is an on-premise SMS gateway and messaging automation platform designed for businesses that need secure, private, and high-performance communication infrastructure. The platform supports GSM and LTE modems, GSM dongles, and Android devices for sending and receiving SMS, MMS, USSD messages, and automated voice calls. SMS Deliverer allows organizations to build their own private messaging infrastructure without relying on third-party cloud services or recurring per-message fees. The system includes SMPP v3.4 server support, RESTful HTTP APIs, webhooks, and SQL database integration for seamless connectivity with business applications and automation workflows. All data is stored locally on the organization’s infrastructure, helping businesses maintain data sovereignty and comply with privacy standards such as GDPR. SMS Deliverer also supports automated notifications, OTP delivery, service automation, system monitoring alerts, and customer communication workflows.
    Starting Price: $49/license
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    BrowserOS

    BrowserOS

    BrowserOS

    BrowserOS is an open source, agent-enabled browser built on a Chromium fork that brings AI agents directly into your web environment, letting you automate tasks, navigate, and interact with web apps simply by using natural language. You log into sites as usual, and with plain-English instructions like “scrape the quarterly results from this page and update a spreadsheet,” BrowserOS generates and runs a repeatable agent locally, handling clicks, form-fills, and navigation chores for you. It features built-in split-view access to major large-language-models such as ChatGPT, Claude, or Gemini, supports local model execution via platforms like Ollama, and ensures full compatibility with Chrome extensions and your existing bookmarks and passwords. With semantic search across browser history and bookmarks, highlighter tools, and the ability to install MCP (Model-Context-Protocol) servers for Gmail, Calendar, Docs, and Notion, the browser becomes a productivity hub.
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    Lucebox

    Lucebox

    Lucebox

    Lucebox is a plug-and-play computer built for running local AI models and agents at full speed. Inside the custom chassis, a Ryzen AI MAX+ 395 with 128GB of unified LPDDR5X memory is paired with an RTX 3090, and the two work together through an open-source inference engine hand-tuned for exactly this hardware. The architecture is what makes it fast. Large models live in the 128GB unified memory tier, while the 3090's high-bandwidth VRAM acts as a fast tier. Speculative decoding (DFlash) and speculative prefill (PFlash) bridge the two, producing inference speeds up to 10x higher than llama.cpp on the same silicon and beating machines like the Mac Studio and DGX Spark at a fraction of their effective cost.
    Starting Price: $4,900 - One time payment
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    Surf.new

    Surf.new

    Steel.dev

    Surf.new is a free, open-source playground for testing and using AI agents that can browse the web. These agents surf the web and interact with webpages similarly to how a human would, making tasks like automation and web research easy and intuitive. Whether you're a developer evaluating web agents for production use or someone looking to automate repetitive tasks like checking flights, scraping product information, or booking reservations, Surf.new provides an accessible environment to quickly experiment and see how web agents perform. Key Features: Swap between AI Agent Frameworks with a button: Supports Browser-use, an experimental Claude Computer-use-based agent, and integrates smoothly with LangChain—allowing easy experimentation with different approaches. Diverse AI Model Compatibility: Compatible with popular models including Claude 3.7, DeepSeek R1, OpenAI models, Gemini 2.0 Flash, and others—giving you the flexibility to choose what works best.
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    ImgLab

    ImgLab

    ImgLab

    ImgLab is an open-source tool designed to simplify the task of annotating images for machine learning and artificial intelligence applications. It provides an intuitive interface that enables users to mark up images with metadata, such as bounding boxes, points, lines, or polygons to identify specific features or objects within the image. ImgLab supports multiple annotation formats including COCO, Pascal VOC, and YOLO, facilitating compatibility with a variety of machine learning models and platforms. It's designed to work with large image sets, making it suitable for complex machine learning tasks.