Business Software for Ollama

Amelia’s Agent is an innovative AI tool that transforms simple English descriptions into a variety of digital products, including websites, applications, games, tools, automations, and code. Users initiate the process with a straightforward sentence, respond to a set of clarifying questions, and then review and approve a proposed plan before any execution occurs. The AI then constructs the project on a secure private cloud server, with a transparent display of all files and commands as they are generated. Every project is archived in a genuine Git repository from the very first build, ensuring that each version is meticulously documented and that the user retains full ownership of the code. Users have the capability to clone, download, upload to GitHub, or execute the project on their local machines. Additionally, Amelia is capable of enhancing existing websites and repositories, analyzing them prior to implementing any accepted modifications. Supporting over 300 AI models, it intelligently directs each task to the most appropriate model while giving advanced users the flexibility to select models directly, utilize their personal API keys, or execute open-source models via Ollama or LM Studio. This versatility makes Amelia's Agent a powerful ally in the realm of AI-driven development.

JustDocz is a desktop application designed for Windows that prioritizes user privacy by enabling the search for information within documents, scanned PDFs, images, email archives, and attachments without the need to upload files to the cloud. It efficiently indexes content locally and provides rapid search capabilities for filenames and full text across various formats including PDFs, Word, Excel, PowerPoint, images, text files, and email archives. With built-in OCR technology, it allows users to make scanned documents and images searchable, and the extracted text can be easily saved in either TXT or DOCX formats. Additionally, JustDocz offers multilingual and phonetic search functionalities, catering to users who handle documents in multiple languages. Users can also benefit from optional local AI features that enable them to pose questions and extract insights from their documents while keeping all data securely on their own machine. This application eliminates the need for cloud storage or login credentials, making it an ideal solution for lawyers, researchers, businesses, professionals, and anyone managing extensive document collections. Overall, JustDocz combines powerful search capabilities with a strong emphasis on user privacy and data security.

StackStats is a powerful desktop analytics tool designed specifically for Substack writers and independent publishers. It efficiently imports or syncs newsletter data, offering a comprehensive overview of subscriber growth, engagement levels, churn-risk indicators, audience demographics, acquisition sources, post performance metrics, and growth projections. This allows writers to assess reader engagement more effectively, pinpoint highly active or potentially at-risk subscribers, and analyze the impact of individual posts on overall growth, as well as investigate the times when readers are most likely to open their emails. The analytics are processed locally on the user's computer, and the application is compatible with both Mac and Windows operating systems. Additionally, optional AI features offer users the ability to access summaries, strategic recommendations, actionable plans, and data-driven conversations via a local Ollama model or supported third-party AI services, utilizing the user's own API key. StackStats is available for purchase with a one-time license, ensuring that the app remains functional even after the included update period has expired, providing ongoing value to its users. This makes it an indispensable tool for anyone looking to enhance their publishing efforts and optimize their newsletter performance.

Pivot Desktop serves as a Windows-based workspace tailored for analysts, researchers, and students, enabling them to prepare, explore, visualize, and model tabular data efficiently. Users can create workflows that are both editable and repeatable by visually arranging steps for data cleaning, transformation, statistical analysis, charting, and machine learning, which can then be saved or exported as needed. The application supports various file formats such as CSV, Excel, Parquet, and JSON, and it can connect to databases including PostgreSQL, MySQL, SQL Server, and SQLite. With an array of interactive charts and statistical tests, users can conduct regression analyses and utilize other modeling techniques, enhanced by a local AI assistant that interprets natural-language queries into actionable pipeline components. All data processing and AI functions occur locally on the user's device, ensuring privacy and control over the data. Moreover, users have the option to utilize a Model Context Protocol server, which facilitates the programmatic creation of workflows by external agents, thus expanding the tool's versatility.

Introducing the next iteration of our open-source large language model, this version features model weights along with initial code for the pretrained and fine-tuned Llama language models, which span from 7 billion to 70 billion parameters. The Llama 2 pretrained models have been developed using an impressive 2 trillion tokens and offer double the context length compared to their predecessor, Llama 1. Furthermore, the fine-tuned models have been enhanced through the analysis of over 1 million human annotations. Llama 2 demonstrates superior performance against various other open-source language models across multiple external benchmarks, excelling in areas such as reasoning, coding capabilities, proficiency, and knowledge assessments. For its training, Llama 2 utilized publicly accessible online data sources, while the fine-tuned variant, Llama-2-chat, incorporates publicly available instruction datasets along with the aforementioned extensive human annotations. Our initiative enjoys strong support from a diverse array of global stakeholders who are enthusiastic about our open approach to AI, including companies that have provided valuable early feedback and are eager to collaborate using Llama 2. The excitement surrounding Llama 2 signifies a pivotal shift in how AI can be developed and utilized collectively.

Code Llama is an advanced language model designed to generate code through text prompts, distinguishing itself as a leading tool among publicly accessible models for coding tasks. This innovative model not only streamlines workflows for existing developers but also aids beginners in overcoming challenges associated with learning to code. Its versatility positions Code Llama as both a valuable productivity enhancer and an educational resource, assisting programmers in creating more robust and well-documented software solutions. Additionally, users can generate both code and natural language explanations by providing either type of prompt, making it an adaptable tool for various programming needs. Available for free for both research and commercial applications, Code Llama is built upon Llama 2 architecture and comes in three distinct versions: the foundational Code Llama model, Code Llama - Python which is tailored specifically for Python programming, and Code Llama - Instruct, optimized for comprehending and executing natural language directives effectively.

GPT Pilot is an innovative open-source AI application designed to function as a comprehensive AI developer, generating fully operational applications with very little human intervention. In contrast to basic code autocompletion utilities, GPT Pilot is capable of creating entire features, troubleshooting code, discussing problems, and even soliciting code reviews. This tool seeks to expand the horizons of AI-driven software development by managing as much as 95% of coding responsibilities, reserving the remaining 5% for human developers. Additionally, it is designed to work seamlessly with platforms such as VS Code, allowing for real-time collaboration between developers and AI. By facilitating this partnership, GPT Pilot empowers developers to focus on more complex tasks while the AI handles routine coding challenges.

Created by LM-SYS, RouteLLM is a publicly available toolkit that enables users to direct tasks among various large language models to enhance resource management and efficiency. It features strategy-driven routing, which assists developers in optimizing speed, precision, and expenses by dynamically choosing the most suitable model for each specific input. This innovative approach not only streamlines workflows but also enhances the overall performance of language model applications.

Airtool is a powerful low-code platform designed to simplify enterprise application development and data management. With features like real-time dashboards, customizable forms, and integrated analytics, businesses can streamline workflows, improve operational reporting, and gain actionable insights into their performance. Airtool's flexibility allows for quick development, with the ability to integrate various data sources and AI-powered tools for enhanced decision-making. Whether you're optimizing data handling or creating custom applications, Airtool provides a scalable, secure, and efficient solution for modern businesses.

AppFit offers a comprehensive suite of tools to take your concepts from inception to launch, ensuring your web and mobile application development is a success. With AI support integrated throughout the entire development journey, you can effortlessly build full-stack applications while generating code, designing intuitive interfaces, and troubleshooting challenges more efficiently than ever. Leverage AI-driven market insights and analytics to validate your app ideas, helping you quickly identify the right product-market fit. Gain a deep understanding of your target audience and competitive landscape even before the first line of code is written. Our gamified no-code editor facilitates learning as you create, offering engaging, bite-sized lessons akin to how Duolingo teaches languages. With AppFit, you can seamlessly develop responsive web applications and mobile apps that feel native, all from a single codebase. This approach not only conserves time and resources but also broadens your reach to users across a multitude of devices, enhancing your application's accessibility and impact. Additionally, our platform empowers you to innovate and iterate rapidly, ensuring your app remains relevant in an ever-changing market.

Introducing Gemma 3n, our cutting-edge open multimodal model designed specifically for optimal on-device performance and efficiency. With a focus on responsive and low-footprint local inference, Gemma 3n paves the way for a new generation of intelligent applications that can be utilized on the move. It has the capability to analyze and respond to a blend of images and text, with plans to incorporate video and audio functionalities in the near future. Developers can create smart, interactive features that prioritize user privacy and function seamlessly without an internet connection. The model boasts a mobile-first architecture, significantly minimizing memory usage. Co-developed by Google's mobile hardware teams alongside industry experts, it maintains a 4B active memory footprint while also offering the flexibility to create submodels for optimizing quality and latency. Notably, Gemma 3n represents our inaugural open model built on this revolutionary shared architecture, enabling developers to start experimenting with this advanced technology today in its early preview. As technology evolves, we anticipate even more innovative applications to emerge from this robust framework.

Elestio is a comprehensive DevOps platform that allows users to launch over 350 open source software applications on dedicated virtual machines in less than three minutes. This service manages crucial tasks such as installation, configuration, encryption, backups, and both software and OS updates, enabling users to concentrate on maximizing the software's capabilities. Elestio is versatile in deployment options, supporting a variety of cloud providers like DigitalOcean, AWS, VULTR, Hetzner, Linode, and Scaleway, as well as on-premise setups, thereby providing flexibility and minimizing the risk of vendor lock-in. All offerings are powered by dedicated hardware, ensuring users have full access to resources and enhanced kernel-level security. The platform guarantees data protection by encrypting all connections between the user's device, the dashboard, and the services through end-to-end TLS encryption. Additionally, Elestio features a fully managed CI/CD system that integrates seamlessly with GitHub, GitLab, and Docker registries while remaining compatible with any Linux technology stack. This makes it an ideal choice for developers looking for a reliable and secure deployment environment.

The GLM-5V-Turbo is an advanced multimodal coding foundation model specifically tailored for tasks that require visual inputs, capable of handling various formats such as images, videos, texts, and files to generate text-based outputs. This model is particularly refined for agent workflows, which allows it to effectively understand environments, plan appropriate actions, and carry out tasks, while also ensuring compatibility with agent frameworks like Claude Code and OpenClaw. Its ability to manage long-context interactions is noteworthy, boasting a context capacity of 200K tokens and an output limit of up to 128K tokens, making it ideal for intricate, long-term projects. Furthermore, it provides a variety of thinking modes suited for diverse scenarios, exhibits robust visual comprehension for both images and videos, and streams output in real-time to enhance user engagement. Additionally, it features sophisticated function-calling abilities that facilitate the integration of external tools, and its context caching capability significantly boosts performance during prolonged conversations. In practical applications, the model can adeptly transform design mockups into fully functional frontend projects, showcasing its versatility and depth in real-world coding scenarios. This versatility ensures that users can tackle a wide range of complex tasks with confidence and efficiency.

Qwen3.6 is an advanced AI model from Alibaba that builds on previous Qwen releases with a focus on real-world utility and performance. It is designed as a multimodal large language model capable of understanding and generating text while also processing visual and structured data. The model is optimized for coding tasks, enabling developers to handle complex, repository-level programming workflows. Qwen3.6 uses a mixture-of-experts (MoE) architecture, which activates only a portion of its parameters during inference to improve efficiency. This design allows it to deliver strong performance while reducing computational costs. It is available in both proprietary and open-weight versions, giving developers flexibility in deployment. The model supports integration into enterprise systems and cloud platforms, particularly within Alibaba’s ecosystem. Qwen3.6 also introduces stronger agentic capabilities, allowing it to perform multi-step reasoning and more autonomous task execution. It is designed to handle complex workflows, including engineering, analysis, and decision-making tasks. The model emphasizes stability and responsiveness based on developer feedback. Overall, Qwen3.6 provides a scalable and efficient AI solution for coding, automation, and multimodal applications.

Osaurus is an innovative AI platform designed for macOS, enabling users to operate open models directly on their Mac while also providing the option to access cloud models for enhanced performance and share memory seamlessly between them. Developed using Swift specifically for Apple Silicon, it allows for complete offline functionality with local models through interfaces like Ollama, MLX, or LM Studio, ensuring that conversations, code, files, settings, agents, skills, and provider keys remain stored on the device unless the user opts for a cloud service. A convenient system-wide chat overlay grants users quick access to the AI from any application, and users can establish distinct agents tailored for various tasks such as coding, research, and file management, with each agent maintaining its own prompt, history, and memory. Osaurus intelligently synthesizes previous conversations into pertinent information, loads necessary skills for specific tasks, and provides agents with targeted access to relevant folders, file search capabilities, Git, and other essential tools. Additionally, agents operate within a secure sandbox environment, can delegate tasks to subagents, adhere to scheduled operations, react to changes in folders, utilize voice commands, and even create images, showcasing the platform's versatility and robust feature set. This comprehensive approach not only enhances productivity but also empowers users to customize their workflows efficiently.

Qwen3.8-Flash-Next represents an open-weight multimodal Mixture-of-Experts architecture and serves as an initial glimpse into the design intended for Qwen4. This model strategically enhances attention mechanisms, residual pathways, embeddings, and optimization techniques to boost its capabilities, improve computational efficiency, expand model capacity, and ensure training stability. Its innovative hybrid architecture merges Gated DeltaNet, which adeptly compresses past information, with Qwen Sparse Attention, enabling the selection of significant context at a micro-block level to lessen both attention and indexing costs associated with lengthy sequences. The Gated Residual feature broadens the residual pathway into four streams, dynamically managing the flow of information across different layers. Additionally, the N-gram Embedding integrates large-scale local-pattern memory with minimal added computation per token, and it can be transferred to host memory for further efficiency. The model is structured around a 125B-parameter main network supplemented by 51B parameters dedicated to N-gram embeddings, activating only 6B parameters for each token processed. This sophisticated framework highlights the ongoing advancements in machine learning architectures, setting a promising stage for future developments.

Step 5 Preview represents the pinnacle of StepFun’s offerings for agentic tasks, tailored specifically for real-world applications in both software engineering and professional knowledge domains, excelling particularly in financial contexts. The model is equipped to handle inputs of text, images, and videos while boasting a substantial 1M-token context window, which is ideal for tasks that necessitate extensive information, tool usage, and ongoing progress towards achieving specific deliverables. It possesses the ability to scrutinize lengthy documents, integrate various source materials, and utilize conversation histories for effective cross-document question answering and organizing research. In the realm of programming and software development, it is proficient in multiple programming languages and capable of assisting with debugging, code modifications, verification processes, and the generation of tests. Furthermore, its advanced multi-step agent functionalities empower applications to access tools for information retrieval, document processing, in-depth research, and the creation of analytical reports. Additionally, the model's multimodal comprehension allows for the synthesis of images, videos, and text, enabling tasks such as analyzing charts and answering questions based on screenshots. Ultimately, this comprehensive capability suite positions Step 5 Preview as an invaluable asset for professionals across various sectors.

The TraceBoard Suite is an ALM platform designed for self-hosting and is ready for air-gapped environments, effectively merging requirements traceability, compliance document creation, and test execution into one secure repository of information. Deployed through Docker on your own infrastructure, it guarantees complete data sovereignty while operating entirely offline. This comprehensive suite incorporates three essential modules: • TraceBoard: Facilitates the connection of items through cycle detection and immutable baselines, featuring a Kanban board. It also offers local or cloud-based AI integration for importing requirements from various formats such as Excel, PDF, or Word, conducting intelligent consistency checks, and automatically generating thorough narratives for audit readiness. • TraceDocs: Produces compliance-ready documents like SRS, Test Plans, and Design Descriptions from established baselines and includes a Markdown editor with hyperlinks to project requirements. • TraceTest: Manages testing by documenting execution evidence such as screenshots and logs, linking results back to the original requirements while utilizing AI to automatically create test cases from source text. This innovative ALM platform streamlines the entire lifecycle of project management, ensuring efficiency and compliance at every step.

VidBee is an open-source desktop application that allows users to download and manage video and audio content from various supported platforms, as well as import media files stored locally. It features a download queue, playlists, the ability to download channels, options for format and subtitles, and subscription feed management, along with batch processing and local file organization capabilities. Using speech-recognition models installed on the user's device, VidBee can generate searchable transcripts complete with timestamps and speaker identification, which can then be exported as text or subtitles. Users have the ability to search through transcripts to quickly locate specific moments and can utilize prompts to summarize, translate, and organize transcript content by connecting with AI services they set up, either in the cloud or locally. Additionally, a Docker-based version of VidBee is available for self-hosting on various platforms such as NAS devices, home servers, or cloud virtual machines, with access via a web browser on the local network. The application supports desktop versions for Windows, macOS, and Linux, making it versatile for different operating systems. With its user-friendly interface and robust features, VidBee aims to enhance the way users interact with their media collections.

QueryWell serves as a desktop SQL and reporting workbench tailored for Oracle Fusion Cloud ERP teams engaged in finance systems, ERP reporting, and internal audit functions. It leverages the BI Publisher services supported by Fusion for executing read-only SQL, utilizing existing reports, and facilitating parameterized queries all within a singular worksheet. Users have the capability to examine results displayed in grids, charts, and profile columns, which can then be exported in various formats such as CSV, JSON, XLSX, or PDF. The platform also maintains a history of runs and SHA-256 records to assist in evidence review and file validation. With three dedicated toolkits, it offers a total of 82 scripts designed for Audit/ITGC, DBA, finance, HR, and supply-chain reporting. Additionally, an optional Data Loader feature allows for the scheduling of selected Fusion tables into a customer-managed Oracle Autonomous Database. The Studio + AI functionality can generate editable SQL through a model provider that is configurable by the user. The application, available for both Windows and macOS, securely stores credentials in the system keychain while ensuring that reporting data remains on the user's device for enhanced privacy. This comprehensive approach not only simplifies reporting tasks but also strengthens data integrity across various operational aspects.

Lightweight, fast, portable, and powered by Rust, our solution is designed to be compatible with OpenAI. We collaborate with cloud providers, particularly those specializing in edge cloud and CDN compute, to facilitate microservices tailored for web applications. Our solutions cater to a wide array of use cases, ranging from AI inference and database interactions to CRM systems, ecommerce, workflow management, and server-side rendering. Additionally, we integrate with streaming frameworks and databases to enable embedded serverless functions aimed at data filtering and analytics. These serverless functions can serve as database user-defined functions (UDFs) or be integrated into data ingestion processes and query result streams. With a focus on maximizing GPU utilization, our platform allows you to write once and deploy anywhere. In just five minutes, you can start utilizing the Llama 2 series of models directly on your device. One of the prominent methodologies for constructing AI agents with access to external knowledge bases is retrieval-augmented generation (RAG). Furthermore, you can easily create an HTTP microservice dedicated to image classification that operates YOLO and Mediapipe models at optimal GPU performance, showcasing our commitment to delivering efficient and powerful computing solutions. This capability opens the door for innovative applications in fields such as security, healthcare, and automatic content moderation.

Gemma represents a collection of cutting-edge, lightweight open models that are built upon the same research and technology underlying the Gemini models. Created by Google DeepMind alongside various teams at Google, the inspiration for Gemma comes from the Latin word "gemma," which translates to "precious stone." In addition to providing our model weights, we are also offering tools aimed at promoting developer creativity, encouraging collaboration, and ensuring the ethical application of Gemma models. Sharing key technical and infrastructural elements with Gemini, which stands as our most advanced AI model currently accessible, Gemma 2B and 7B excel in performance within their weight categories when compared to other open models. Furthermore, these models can conveniently operate on a developer's laptop or desktop, demonstrating their versatility. Impressively, Gemma not only outperforms significantly larger models on crucial benchmarks but also maintains our strict criteria for delivering safe and responsible outputs, making it a valuable asset for developers.

Discover a user-friendly yet thorough evaluation platform designed to continuously enhance your AI-powered products. By optimizing the LLMOps workflow, you can foster trust and secure a competitive advantage. EvalsOne serves as your comprehensive toolkit for refining your application evaluation process. Picture it as a versatile Swiss Army knife for AI, ready to handle any evaluation challenge you encounter. It is ideal for developing LLM prompts, fine-tuning RAG methods, and assessing AI agents. You can select between rule-based or LLM-driven strategies for automating evaluations. Moreover, EvalsOne allows for the seamless integration of human evaluations, harnessing expert insights for more accurate outcomes. It is applicable throughout all phases of LLMOps, from initial development to final production stages. With an intuitive interface, EvalsOne empowers teams across the entire AI spectrum, including developers, researchers, and industry specialists. You can easily initiate evaluation runs and categorize them by levels. Furthermore, the platform enables quick iterations and detailed analyses through forked runs, ensuring that your evaluation process remains efficient and effective. EvalsOne is designed to adapt to the evolving needs of AI development, making it a valuable asset for any team striving for excellence.

The Gemma family consists of advanced, lightweight models developed using the same innovative research and technology as the Gemini models. These cutting-edge models are equipped with robust security features that promote responsible and trustworthy AI applications, achieved through carefully curated data sets and thorough refinements. Notably, Gemma models excel in their various sizes—2B, 7B, 9B, and 27B—often exceeding the performance of some larger open models. With the introduction of Keras 3.0, users can experience effortless integration with JAX, TensorFlow, and PyTorch, providing flexibility in framework selection based on specific tasks. Designed for peak performance and remarkable efficiency, Gemma 2 is specifically optimized for rapid inference across a range of hardware platforms. Furthermore, the Gemma family includes diverse models that cater to distinct use cases, ensuring they adapt effectively to user requirements. These lightweight language models feature a decoder and have been trained on an extensive array of textual data, programming code, and mathematical concepts, which enhances their versatility and utility in various applications.

The leading open-source AI assistant. You can create custom autocomplete experiences and chats by connecting any models to any context. Remove the barriers that hinder productivity when developing software to remain in flow. Accelerate your development with a plug and play system that is easy to use and integrates into your entire stack. Set up your code assistant so that it can evolve with new capabilities. Continue autocompletes entire sections of code or single lines in any programming languages as you type. Ask questions about files, functions, the entire codebase and more by attaching code or context. Highlight code sections, then press the keyboard shortcut to convert code into natural language.