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AI assistant for LinkedIn, enhancing networking and job applications with LLM-powered features. Arnold is an AI Networking Assistant that revolutionizes LinkedIn engagement by integrating advanced LLM-powered conversational, reasoning, and text generation capabilities directly into the platform. It provides automatic context awareness, eliminating the need for copy-pasting. Arnold aims to be a seamless, intelligent assistant for LinkedIn users, providing accurate answers and following instructions with minimal user input, making networking and job applications effortless.

AI-powered toolkit to enhance GitHub projects and developer productivity. GitDevTool is an AI-powered toolkit designed to enhance GitHub projects. It offers tools to streamline workflows, improve documentation, and boost productivity for developers. It includes features like a README generator, traffic analysis, GitHub profile refiner, social media sharing, Git command helper, code snippet sharing, HackerNews engagement tools, SEO toolbox, and a Repo2LLM converter.

Build AI Agents with confidence: Platform for building, deploying, and managing AI agents. Vivgrid is an AI agent infrastructure platform that helps developers and startups build, deploy, and manage AI agents with observability, evaluation, and safety guardrails. It provides a confident path from prototype to production for AI agents by offering tools for AI observability, debugging, evaluation, testing, and deployment, complemented by a globally distributed inference infrastructure designed for low latency and reliable scale. Vivgrid aims to help users master the right mental model to ship resilient AI systems.

Omnibot is an in-browser AI platform that runs LLMs natively and privately. Omnibot is an innovative AI platform that leverages WebGPU to run large language models (LLMs) natively in your browser, ensuring your data is processed securely on your device without any server-side interference. With offline functionality, Omnibot brings you an in-browser and offline AI experience. It allows you to use selected LLMs offline once the initial download of a model is processed. All AI models run locally (client side) on your hardware, ensuring that your data is processed only on your PC. You can also add custom instructions/memory to allow the AI to provide better and more personalized responses.

Autonomous AI platform for faster life science research and drug discovery. neurons.bio is an autonomous agentic platform designed for life science research, revolutionizing drug discovery and development with agentic AI. It offers AI agents capable of answering queries, analyzing data, and performing complex tasks like sequencing DNA in minutes. The platform integrates LLM technology with domain-specific agents to reduce research costs and time to clinic, driving breakthroughs.

Orq.ai is a GenAI collaboration platform for software teams to scale LLM applications. Orq.ai is a generative AI collaboration platform designed for software teams to control GenAI and deliver LLM applications at scale. It provides MLOps tooling to manage prompts for all LLMs, creating a single source of truth, enabling experimentation on multiple LLMs for quality and pricing, customizing them for specific contexts, and collecting feedback on accuracy and economics. It helps teams optimize prompts, deploy use cases, and monitor performance, offering an end-to-end platform for continuous delivery of LLM apps.

Open-source editor for vector LLM embeddings to improve search and reduce costs. Embedditor is an open-source Editor of vector LLM embeddings, which enables users to create impressive search results, improve performance of vector search, and save up to 30% on embedding and vector storage with the Simplicity of MS Word. It helps you get the most out of your vector search by improving embedding metadata and tokens with a user-friendly UI. Seamlessly apply advanced NLP cleansing techniques like TF-IDF, normalize, and enrich your embedding tokens, improving efficiency and accuracy in your LLM-related applications. Optimize the relevance of the content you get back from a vector database, intelligently splitting or merging the content based on its structure and adding void or hidden tokens, making chunks even more semantically coherent. Get full control over your data by deploying Embedditor locally or in your dedicated enterprise environment. Reduce costs by filtering out irrelevant tokens, saving up to 40% on embedding and vector storage.

Open-source web app for interacting with LLMs, fine-tuning results, and saving prompts. Prompto is an open-source web application designed to make interacting with Large Language Models (LLMs) simple and efficient. It allows users to fine-tune results, chat or query, and save prompts. Prompto runs entirely in your browser as a Progressive Web Application (PWA) and communicates directly with your chosen LLM provider through LangChain.js integrations.

Leading AI company specializing in LLMs and AI-native applications. MiniMax is a leading global technology company and one of the pioneers of large language models (LLMs) in Asia. Its mission is to build a world where intelligence thrives with everyone. MiniMax offers a range of AI-native applications and tools, including text, video, audio, music, and image generation models. These products cater to various needs, from creating lifelike speech and generating music to producing cinematic videos and versatile images.

Niddam provides private AI tools and LLM products to enhance workflow and protect privacy. Niddam is an AI company focused on providing LLM (Large Language Model) products and tools that enhance workflow and respect user privacy. It offers a private AI experience, allowing users to engage in natural-sounding conversations, generate high-quality content, summarize documents, and resolve creative challenges without sacrificing their data security. Niddam aims to empower users with AI capabilities while maintaining control over their personal information, offering an alternative to Big Tech solutions.

A Wikipedia for GitHub repositories, explaining how they are made. OpenRepoWiki is a Wikipedia of Github Repositories that aims to explain how they are made. It helps users understand the core features of a repository without having to examine the entire codebase.

Searchable computer history for people and AI assistants. Screenpipe records screen and audio history locally, making past work searchable. Recall conversations, review how you spent your time across apps, and give AI assistants context through MCP and a local API. Scheduled workflows can turn captured history into meeting notes and work summaries. Screenpipe runs on macOS, Windows, and Linux. The source is available under the Screenpipe Commercial License. Cloud AI, transcription, sync, and integrations can send relevant context off-device when configured.

A unified, full-modal AI inference and model infrastructure platform for developers and creators. Atlas Cloud is marketed as the world's first full-modal inference platform, providing developers and creators with a unified API to run AI across every modality—chat, reasoning, image, audio, and video. It serves as a comprehensive, one-stop platform to discover, test, and scale AI inference by offering access to a massive library of 300+ production-ready models from leading providers (including OpenAI, Google, and ByteDance). Furthermore, Atlas Cloud delivers industry-leading AI model infrastructure, high-performance deployment, training, and application support, focusing on enterprise-grade stability and efficiency while offering highly competitive, low pricing.

No-code prompt engineering tool for generative AI features. Product Prompt is a no-code prompt engineering tool designed to simplify the process of composing prompts with product data for generative AI. It is aimed at teams who need to prototype new generative AI features with LLMs. It allows users to upload data, experiment with prompts using a templating language, and find the perfect output. It also offers features like privacy setup to replace sensitive information, history tracking, and sharing capabilities.

Anyscale is an AI application platform for building, running, and scaling AI applications. Anyscale is the leading AI application platform that allows developers to build, run, and scale AI applications instantly. It leverages Ray, a distributed computing framework, to optimize performance and lower costs for AI workloads. Anyscale offers tools for compute governance, developer tooling, and supports any cloud, accelerator, and stack.

AI for LLMs and document processing to transform business workflows. Upstage AI builds powerful large language models (LLMs) and document processing engines designed to transform workflows and empower leading businesses. Their offerings include generative intelligence models like Solar Pro 2, Solar Mini, and Syn, as well as document intelligence tools such as Document Parse, Information Extract, and AI Space. These solutions are tailored for high-stakes industries like insurance, healthcare, manufacturing, and financial services, providing enterprise-grade AI models optimized for accuracy, speed, and groundedness. Upstage AI offers flexible deployment options, including public cloud, AWS Marketplace, and on-premises, ensuring data sovereignty and compliance.

A developer tool for LLM application quality and AI agents for commerce. Inductor is a developer tool designed for evaluating, ensuring, and improving the quality of LLM (Large Language Model) applications, both during development and in production. It provides AI agents built for commerce, aiming to increase sales and decrease costs for ecommerce businesses.

AI platform for automated, personalized customer support. AssistLoop.ai is an AI platform that enables businesses to train AI agents on their own data (documents, FAQs, knowledge base) to handle customer questions with fast, helpful, and personalized answers 24/7. It aims to transform customer support by automating interactions, reducing support costs, and saving time, while allowing businesses to scale their customer support operations.

A powerful, open-source LLM with various fine-tuned models for specific applications. Mistral 7B is a large language model (LLM) created by Mistral AI, designed to be powerful and adaptable for various use-cases. It outperforms Llama 2 13B on benchmarks and features natural coding abilities and an 8k sequence length. Numerous fine-tuned models based on Mistral 7B are available, each tailored for specific applications like occult knowledge, scientific reasoning, or role-playing.

Lightweight open language models by Google, based on Gemini technology. Google’s Gemma is a family of lightweight, state-of-the-art open language models (LLMs) developed using the same research and technology as Google's Gemini models. It includes 2B and 7B parameter versions, with both base and instruction-tuned modifications. Gemma is designed with AI principles to ensure safe and reliable use, featuring cross-device compatibility and optimization for Google Cloud and NVIDIA GPUs. It is accessible for free on platforms like Kaggle and Colab, and through Google Cloud with Vertex AI or GKE.

Multi-model AI desktop client for various platforms. Cherry Studio AI is a multi-model AI desktop client available on iOS, macOS, Windows, and Linux. It allows users to quickly switch between multiple advanced LLM models to improve work and learning efficiency. It supports integration with various service providers and offers features like local data storage for privacy, personalized knowledge bases, AI drawing, AI translation, and a library of built-in assistants.

Franz uses AI to classify, categorize, and extract text for data applications. Franz is a platform that uses transformer models to classify text, categorize it, and extract meaningful information. It aims to help users build fully functional data applications faster than ever by leveraging AI for precision in product and content classification, as well as data extraction.

Smatr-AI: Summarize text and find answers quickly using AI in your browser. Smatr-AI is a browser extension that uses GPT/LLM to help users fight information overload on the web. It allows users to summarize long paragraphs and find answers quickly to save time. It is available for Chrome and Firefox.

LLM Farm: A platform for building large-scale models with various tools and resources. LLM Farm is constructing a brand new intermediate layer base for the construction of large-scale models. It provides various tools and resources related to Large Language Models (LLMs), including downloadable templates, chain libraries, and tools for tasks like PDF document parsing, SQL data querying, and content creation. It also offers access to different LLMs like ChatGPT-3.5 and ChatGLM.