Groq Integrations

ONLYOFFICE Docs is a secure online office suite for teams and businesses of all sizes. Create and edit docs, sheets, slides, fillable forms and PDFs. Collaborate with your teammates in real time using two co-editing modes, version history and other tools. Enable the AI assistant of your choice — ChatGPT, DeepSeek, Mistral, Groq AI, etc. Generate new content, summarize, translate and do more with your favourite AI tool while working on office files. Integrate ONLYOFFICE Docs into your business platform, whether it be Odoo, Alfresco, Confluence, Pipedrive, Nextcloud, Redmine, SuiteCRM, etc., via an integration app (40+ available integrations). Use Docs within ONLYOFFICE DocSpace, a room-based document collaboration platform equipped with the online office suite. Create dedicated spaces for different purposes, invite your teammates, assign access permissions and collaborate the way you like. With DocSpace, you can store, share and co-edit office files, and even interact with third parties.

Axis LMS is a feature-rich, highly customizable Learning Management System designed to simplify and elevate corporate training. Whether you’re delivering onboarding, compliance, continuing education, or skills development, Axis LMS gives you the tools to engage learners, track progress, and stay audit-ready - all without the complexity of large enterprise systems. Built for real-world business needs, Axis LMS supports a wide range of content formats, including SCORM, video, assessments, documents, and interactive modules. It allows you to automate enrollments, reminders, and certifications, freeing your team from repetitive tasks and ensuring nothing slips through the cracks. With its intuitive drag-and-drop course builder and mobile-friendly learner interface, Axis LMS makes learning accessible and enjoyable on any device. Branding options and flexible permissions let you tailor the experience for different teams, departments, or clients — making it a perfect fit for internal training, external certification, partner enablement, and more. The platform includes powerful reporting and analytics, so you can measure impact, identify trends, and meet compliance standards with ease. Seamless integrations and an open API ensure Axis LMS can work alongside your existing HR, CRM, or business systems. Trusted by organizations of all sizes, Axis LMS combines enterprise-level power with small-business flexibility. Whether you have 25 users or 10,000+, Axis LMS delivers a reliable, scalable solution that evolves with your training needs.

StackAI is an enterprise AI automation platform that allows organizations to build end-to-end internal tools and processes with AI agents. It ensures every workflow is secure, compliant, and governed, so teams can automate complex processes without heavy engineering. With a visual workflow builder and multi-agent orchestration, StackAI enables full automation from knowledge retrieval to approvals and reporting. Enterprise data sources like SharePoint, Confluence, Notion, Google Drive, and internal databases can be connected with versioning, citations, and access controls to protect sensitive information. AI agents can be deployed as chat assistants, advanced forms, or APIs integrated into Slack, Teams, Salesforce, HubSpot, ServiceNow, or custom apps. Security is built in with SSO (Okta, Azure AD, Google), RBAC, audit logs, PII masking, and data residency. Analytics and cost governance let teams track performance, while evaluations and guardrails ensure reliability before production. StackAI also offers model flexibility, routing tasks across OpenAI, Anthropic, Google, or local LLMs with fine-grained controls for accuracy. A template library accelerates adoption with ready-to-use workflows like Contract Analyzer, Support Desk AI Assistant, RFP Response Builder, and Investment Memo Generator. By consolidating fragmented processes into secure, AI-powered workflows, StackAI reduces manual work, speeds decision-making, and empowers teams to build trusted automation at scale.

AiAssistWorks brings AI superpowers to Google Sheets™, Docs™, and Slides™ — powered by 100+ leading AI models including GPT, Claude, Gemini, Llama, Groq, and more. In Google Sheets™, Smart Command lets you simply describe what you need — and AI does the rest. From generating product descriptions and filling 1,000+ rows of data, to building pivot tables, applying formatting, validating inputs, and creating formulas — all without writing any code or formulas. No scripts. No copy-paste. Just results. In Google Docs™, you can work faster and smarter by generating, rewriting, summarizing, translating text, or even creating images directly inside your document. Everything happens within the editor — no switching tools required. In Google Slides™, you can quickly generate complete presentation content or produce AI-powered images in just a few clicks, helping you create polished slides faster than ever. ✅ Smart Command in Sheets™ – Type what you need and let AI handle it ✅ Free Forever – Includes 100 executions per month with your own API key ✅ Paid Plan Unlocks Unlimited Use – Your API key, your limits ✅ No Formula Writing ✅ Docs™ Integration – Write, rewrite, summarize, translate, generate images ✅ Slides™ Integration – Build presentations and images with AI help ✅ AI Vision (Image to Text) – Extract descriptions from images inside Sheets™ ✅ AI Image Generation – Create visuals across Sheets™, Docs™, and Slides™ AiAssistWorks is designed for anyone including marketers, e-commerce sellers, analysts, writers, and professionals looking to boost productivity and eliminate repetitive work — all inside the Google Workspace tools you already use.

TensorFlow is a comprehensive open-source machine learning platform that covers the entire process from development to deployment. This platform boasts a rich and adaptable ecosystem featuring various tools, libraries, and community resources, empowering researchers to advance the field of machine learning while allowing developers to create and implement ML-powered applications with ease. With intuitive high-level APIs like Keras and support for eager execution, users can effortlessly build and refine ML models, facilitating quick iterations and simplifying debugging. The flexibility of TensorFlow allows for seamless training and deployment of models across various environments, whether in the cloud, on-premises, within browsers, or directly on devices, regardless of the programming language utilized. Its straightforward and versatile architecture supports the transformation of innovative ideas into practical code, enabling the development of cutting-edge models that can be published swiftly. Overall, TensorFlow provides a powerful framework that encourages experimentation and accelerates the machine learning process.

OpenAI aims to guarantee that artificial general intelligence (AGI)—defined as highly autonomous systems excelling beyond human capabilities in most economically significant tasks—serves the interests of all humanity. While we intend to develop safe and advantageous AGI directly, we consider our mission successful if our efforts support others in achieving this goal. You can utilize our API for a variety of language-related tasks, including semantic search, summarization, sentiment analysis, content creation, translation, and beyond, all with just a few examples or by clearly stating your task in English. A straightforward integration provides you with access to our continuously advancing AI technology, allowing you to explore the API’s capabilities through these illustrative completions and discover numerous potential applications.

AptlyStar.ai, developed by Aptly Technology Corporation, serves as an advanced AI platform that delivers creative solutions aimed at improving customer service and streamlining workflow automation. Its user-friendly tools enable businesses to create and implement AI-driven agents, fostering increased efficiency and productivity among their teams. By leveraging these capabilities, organizations can significantly enhance their operational performance and customer interactions.

Mistral AI stands out as an innovative startup in the realm of artificial intelligence, focusing on open-source generative solutions. The company provides a diverse array of customizable, enterprise-level AI offerings that can be implemented on various platforms, such as on-premises, cloud, edge, and devices. Among its key products are "Le Chat," a multilingual AI assistant aimed at boosting productivity in both personal and professional settings, and "La Plateforme," a platform for developers that facilitates the creation and deployment of AI-driven applications. With a strong commitment to transparency and cutting-edge innovation, Mistral AI has established itself as a prominent independent AI laboratory, actively contributing to the advancement of open-source AI and influencing policy discussions. Their dedication to fostering an open AI ecosystem underscores their role as a thought leader in the industry.

bolt.diy is an open-source platform that empowers developers to effortlessly create, run, modify, and deploy comprehensive web applications utilizing a variety of large language models (LLMs). It encompasses a diverse selection of models, such as OpenAI, Anthropic, Ollama, OpenRouter, Gemini, LMStudio, Mistral, xAI, HuggingFace, DeepSeek, and Groq. The platform facilitates smooth integration via the Vercel AI SDK, enabling users to tailor and enhance their applications with their preferred LLMs. With an intuitive user interface, bolt.diy streamlines AI development workflows, making it an excellent resource for both experimentation and production-ready solutions. Furthermore, its versatility ensures that developers of all skill levels can harness the power of AI in their projects efficiently.

BuildShip is an intuitive low-code platform designed for visually constructing backend solutions that facilitate the swift deployment of APIs, scheduled tasks, AI-driven workflows, and cloud functions. It seamlessly integrates with various databases, tools, and AI models, allowing users to design comprehensive backend logic flows. You have the option to utilize pre-existing nodes or leverage AI capabilities to craft personalized logic nodes tailored to your specifications. By merging the simplicity of no-code with the robust flexibility of low-code, BuildShip provides a highly scalable method for rapid backend development. It supports a wide array of powerful applications, including handling payments and orchestrating subscription processes with services like Stripe, RevenueCat, and Lemon Squeezy. Additionally, it enables the automation of AI workflows to power backend functionalities for AI applications, as well as the creation of APIs for effective data processing and CRUD operations on various databases. Users can effortlessly relay form submission data to external tools, incorporate AI-driven chatbots with platforms such as OpenAI, Azure, Claude, and Groq, and manage email communications to enhance user engagement and lead generation. With BuildShip, the range of potential applications is truly limitless, empowering users to innovate without boundaries.

DeepSeek-R1 is a cutting-edge open-source reasoning model created by DeepSeek, aimed at competing with OpenAI's Model o1. It is readily available through web, app, and API interfaces, showcasing its proficiency in challenging tasks such as mathematics and coding, and achieving impressive results on assessments like the American Invitational Mathematics Examination (AIME) and MATH. Utilizing a mixture of experts (MoE) architecture, this model boasts a remarkable total of 671 billion parameters, with 37 billion parameters activated for each token, which allows for both efficient and precise reasoning abilities. As a part of DeepSeek's dedication to the progression of artificial general intelligence (AGI), the model underscores the importance of open-source innovation in this field. Furthermore, its advanced capabilities may significantly impact how we approach complex problem-solving in various domains.

Mistral 7B is a language model with 7.3 billion parameters that demonstrates superior performance compared to larger models such as Llama 2 13B on a variety of benchmarks. It utilizes innovative techniques like Grouped-Query Attention (GQA) for improved inference speed and Sliding Window Attention (SWA) to manage lengthy sequences efficiently. Released under the Apache 2.0 license, Mistral 7B is readily available for deployment on different platforms, including both local setups and prominent cloud services. Furthermore, a specialized variant known as Mistral 7B Instruct has shown remarkable capabilities in following instructions, outperforming competitors like Llama 2 13B Chat in specific tasks. This versatility makes Mistral 7B an attractive option for developers and researchers alike.

In honor of Cleopatra, whose magnificent fate concluded amidst the tragic incident involving a snake, we are excited to introduce Codestral Mamba, a Mamba2 language model specifically designed for code generation and released under an Apache 2.0 license. Codestral Mamba represents a significant advancement in our ongoing initiative to explore and develop innovative architectures. It is freely accessible for use, modification, and distribution, and we aspire for it to unlock new avenues in architectural research. The Mamba models are distinguished by their linear time inference capabilities and their theoretical potential to handle sequences of infinite length. This feature enables users to interact with the model effectively, providing rapid responses regardless of input size. Such efficiency is particularly advantageous for enhancing code productivity; therefore, we have equipped this model with sophisticated coding and reasoning skills, allowing it to perform competitively with state-of-the-art transformer-based models. As we continue to innovate, we believe Codestral Mamba will inspire further advancements in the coding community.

Introducing Mistral NeMo, our latest and most advanced small model yet, featuring a cutting-edge 12 billion parameters and an expansive context length of 128,000 tokens, all released under the Apache 2.0 license. Developed in partnership with NVIDIA, Mistral NeMo excels in reasoning, world knowledge, and coding proficiency within its category. Its architecture adheres to industry standards, making it user-friendly and a seamless alternative for systems currently utilizing Mistral 7B. To facilitate widespread adoption among researchers and businesses, we have made available both pre-trained base and instruction-tuned checkpoints under the same Apache license. Notably, Mistral NeMo incorporates quantization awareness, allowing for FP8 inference without compromising performance. The model is also tailored for diverse global applications, adept in function calling and boasting a substantial context window. When compared to Mistral 7B, Mistral NeMo significantly outperforms in understanding and executing detailed instructions, showcasing enhanced reasoning skills and the ability to manage complex multi-turn conversations. Moreover, its design positions it as a strong contender for multi-lingual tasks, ensuring versatility across various use cases.

The Mixtral 8x22B represents our newest open model, establishing a new benchmark for both performance and efficiency in the AI sector. This sparse Mixture-of-Experts (SMoE) model activates only 39B parameters from a total of 141B, ensuring exceptional cost efficiency relative to its scale. Additionally, it demonstrates fluency in multiple languages, including English, French, Italian, German, and Spanish, while also possessing robust skills in mathematics and coding. With its native function calling capability, combined with the constrained output mode utilized on la Plateforme, it facilitates the development of applications and the modernization of technology stacks on a large scale. The model's context window can handle up to 64K tokens, enabling accurate information retrieval from extensive documents. We prioritize creating models that maximize cost efficiency for their sizes, thereby offering superior performance-to-cost ratios compared to others in the community. The Mixtral 8x22B serves as a seamless extension of our open model lineage, and its sparse activation patterns contribute to its speed, making it quicker than any comparable dense 70B model on the market. Furthermore, its innovative design positions it as a leading choice for developers seeking high-performance solutions.

In honor of Archimedes, whose 2311th anniversary we celebrate this year, we are excited to introduce our inaugural Mathstral model, a specialized 7B architecture tailored for mathematical reasoning and scientific exploration. This model features a 32k context window and is released under the Apache 2.0 license. Our intention behind contributing Mathstral to the scientific community is to enhance the pursuit of solving advanced mathematical challenges that necessitate intricate, multi-step logical reasoning. The launch of Mathstral is part of our wider initiative to support academic endeavors, developed in conjunction with Project Numina. Much like Isaac Newton during his era, Mathstral builds upon the foundation laid by Mistral 7B, focusing on STEM disciplines. It demonstrates top-tier reasoning capabilities within its category, achieving remarkable results on various industry-standard benchmarks. Notably, it scores 56.6% on the MATH benchmark and 63.47% on the MMLU benchmark, showcasing the performance differences by subject between Mathstral 7B and its predecessor, Mistral 7B, further emphasizing the advancements made in mathematical modeling. This initiative aims to foster innovation and collaboration within the mathematical community.

Mistral AI has launched two cutting-edge models designed for on-device computing and edge applications, referred to as "les Ministraux": Ministral 3B and Ministral 8B. These innovative models redefine the standards of knowledge, commonsense reasoning, function-calling, and efficiency within the sub-10B category. They are versatile enough to be utilized or customized for a wide range of applications, including managing complex workflows and developing specialized task-focused workers. Capable of handling up to 128k context length (with the current version supporting 32k on vLLM), Ministral 8B also incorporates a unique interleaved sliding-window attention mechanism to enhance both speed and memory efficiency during inference. Designed for low-latency and compute-efficient solutions, these models excel in scenarios such as offline translation, smart assistants that don't rely on internet connectivity, local data analysis, and autonomous robotics. Moreover, when paired with larger language models like Mistral Large, les Ministraux can effectively function as streamlined intermediaries, facilitating function-calling within intricate multi-step workflows, thereby expanding their applicability across various domains. This combination not only enhances performance but also broadens the scope of what can be achieved with AI in edge computing.

Mistral AI has unveiled two cutting-edge models specifically designed for on-device computing and edge use cases, collectively referred to as "les Ministraux": Ministral 3B and Ministral 8B. These innovative models stand out due to their capabilities in knowledge retention, commonsense reasoning, function-calling, and overall efficiency, all while remaining within the sub-10B parameter range. They boast support for a context length of up to 128k, making them suitable for a diverse range of applications such as on-device translation, offline smart assistants, local analytics, and autonomous robotics. Notably, Ministral 8B incorporates an interleaved sliding-window attention mechanism, which enhances both the speed and memory efficiency of inference processes. Both models are adept at serving as intermediaries in complex multi-step workflows, skillfully managing functions like input parsing, task routing, and API interactions based on user intent, all while minimizing latency and operational costs. Benchmark results reveal that les Ministraux consistently exceed the performance of similar models across a variety of tasks, solidifying their position in the market. As of October 16, 2024, these models are now available for developers and businesses, with Ministral 8B being offered at a competitive rate of $0.1 for every million tokens utilized. This pricing structure enhances accessibility for users looking to integrate advanced AI capabilities into their solutions.

On September 17, 2024, Mistral AI revealed a series of significant updates designed to improve both the accessibility and efficiency of their AI products. Among these updates was the introduction of a complimentary tier on "La Plateforme," their serverless platform that allows for the tuning and deployment of Mistral models as API endpoints, which gives developers a chance to innovate and prototype at zero cost. In addition, Mistral AI announced price reductions across their complete model range, highlighted by a remarkable 50% decrease for Mistral Nemo and an 80% cut for Mistral Small and Codestral, thereby making advanced AI solutions more affordable for a wider audience. The company also launched Mistral Small v24.09, a model with 22 billion parameters that strikes a favorable balance between performance and efficiency, making it ideal for various applications such as translation, summarization, and sentiment analysis. Moreover, they released Pixtral 12B, a vision-capable model equipped with image understanding features, for free on "Le Chat," allowing users to analyze and caption images while maintaining strong text-based performance. This suite of updates reflects Mistral AI's commitment to democratizing access to powerful AI technologies for developers everywhere.

Smax AI is a comprehensive platform designed to optimize sales and customer engagement by using AI-driven chatbots, automation flows, and multi-channel integrations. The platform offers features such as automated responses, multi-channel customer support, and lead conversion tools that help businesses turn interactions into sales. It also includes tools for remarketing, allowing businesses to automatically follow up with customers who abandon conversations, boosting engagement and conversions. By integrating with popular social media and messaging platforms, Smax AI enhances customer experience and accelerates sales cycles, all while reducing manual workload and operational costs.

The Mixtral 8x7B model is an advanced sparse mixture of experts (SMoE) system that boasts open weights and is released under the Apache 2.0 license. This model demonstrates superior performance compared to Llama 2 70B across various benchmarks while achieving inference speeds that are six times faster. Recognized as the leading open-weight model with a flexible licensing framework, Mixtral also excels in terms of cost-efficiency and performance. Notably, it competes with and often surpasses GPT-3.5 in numerous established benchmarks, highlighting its significance in the field. Its combination of accessibility, speed, and effectiveness makes it a compelling choice for developers seeking high-performing AI solutions.

Langtail is a cloud-based development tool designed to streamline the debugging, testing, deployment, and monitoring of LLM-powered applications. The platform provides a no-code interface for debugging prompts, adjusting model parameters, and conducting thorough LLM tests to prevent unexpected behavior when prompts or models are updated. Langtail is tailored for LLM testing, including chatbot evaluations and ensuring reliable AI test prompts. Key features of Langtail allow teams to: • Perform in-depth testing of LLM models to identify and resolve issues before production deployment. • Easily deploy prompts as API endpoints for smooth integration into workflows. • Track model performance in real-time to maintain consistent results in production environments. • Implement advanced AI firewall functionality to control and protect AI interactions. Langtail is the go-to solution for teams aiming to maintain the quality, reliability, and security of their AI and LLM-based applications.

Kerlig is an AI writing assistant designed specifically for macOS, offering a range of features that help users enhance their written communication in various apps. With multi-language support, Kerlig allows users to proofread, summarize, translate, and extract key information from documents, web pages, and ebooks. Its seamless integration into any macOS app makes it ideal for professionals looking to streamline their workflow and avoid switching between multiple tools. The app also includes customizable presets, so users can tailor their experience to match their writing style and needs. Kerlig supports over 350 AI models, including OpenAI, Anthropic, and Google, ensuring users have access to powerful AI tools at their fingertips. The software is highly regarded for its ease of use, allowing users to quickly generate content, correct spelling errors, and brainstorm new ideas. With a pay-once pricing model and no subscription required, Kerlig provides flexibility and a cost-effective solution for anyone looking to improve their productivity with AI.

We are excited to unveil Codestral, our inaugural code generation model. This open-weight generative AI system is specifically crafted for tasks related to code generation, enabling developers to seamlessly write and engage with code via a unified instruction and completion API endpoint. As it becomes proficient in both programming languages and English, Codestral is poised to facilitate the creation of sophisticated AI applications tailored for software developers. With a training foundation that encompasses a wide array of over 80 programming languages—ranging from widely-used options like Python, Java, C, C++, JavaScript, and Bash to more niche languages such as Swift and Fortran—Codestral ensures a versatile support system for developers tackling various coding challenges and projects. Its extensive language capabilities empower developers to confidently navigate different coding environments, making Codestral an invaluable asset in the programming landscape.

Launch your concept in just days instead of weeks with Riff, the pioneering AI app developer. Simply express your requirements through natural language, images, or diagrams, and watch as AI constructs React UIs for you. Enhance your product by integrating it with any service, connecting to various APIs or models to unlock its complete capabilities. With Riff, you can instruct it to create Python APIs that scrape websites, gather data from different systems, and much more. We ensure that you continuously deliver value to your clientele while managing the security and infrastructure on your behalf. Whether you are an independent developer creating a micro SaaS or an established business providing online services, we offer a tailored plan that meets your specific needs. We consistently assess the most effective models available for the intelligent framework you interact with in Riff. For those looking to develop an app that leverages a particular model or service, it's essential to either provide your API key/secrets for your application or obtain them from the users of your application as needed. This way, you can maximize the app's functionality while ensuring a seamless experience for your users.

LibreChat is a completely free and open-source AI chat platform that provides users with an extensive range of customization options. This web interface supports a multitude of AI providers and services, allowing for seamless integration and enhanced user experiences. It consolidates all AI conversations into one convenient location, featuring a user-friendly design that is accessible to as many users as required. By utilizing cutting-edge language models from various providers, LibreChat enables users to engage in AI-driven dialogues within a unified framework. With its innovative enhancements, it guarantees an exceptional conversational experience while bringing the forefront of AI technology to your fingertips. Serving as a centralized hub for every AI interaction, LibreChat combines familiarity with advanced features and extensive customization options. Furthermore, the platform empowers users to freely adapt, modify, and share the software without any limitations or fees, promoting an open collaborative environment. This commitment to accessibility and innovation ensures that everyone can leverage the power of AI.

Introducing a user-friendly right-hand side panel for AI models like ChatGPT, Google Gemini, Claude.ai, Mistral, Groq, and Pi.ai, allowing you to access your prompt library effortlessly with just a click. The PI Prompts Chrome extension is a robust tool that significantly improves your interaction with AI by streamlining your workflow and removing the hassle of repetitive copy-pasting of prompts. With features that enable you to download and upload prompts in JSON format, sharing your collection with others or curating task-specific sets is a breeze. As you begin typing your prompt in the input box, the extension intelligently filters and displays relevant prompts in the right panel. You also have the flexibility to manage your prompt list by adding external JSON prompt lists, as well as editing or deleting prompts directly from the panel. Your prompt collections will automatically sync across all devices using Chrome, ensuring seamless access wherever you are. Additionally, the panel is designed to accommodate both light and dark themes, making it visually versatile for any user preference. This extension not only enhances productivity but also fosters collaboration by making it easy to share and manage prompts with friends and colleagues.

OpenLIT serves as an observability tool that is fully integrated with OpenTelemetry, specifically tailored for application monitoring. It simplifies the integration of observability into AI projects, requiring only a single line of code for setup. This tool is compatible with leading LLM libraries, such as those from OpenAI and HuggingFace, making its implementation feel both easy and intuitive. Users can monitor LLM and GPU performance, along with associated costs, to optimize efficiency and scalability effectively. The platform streams data for visualization, enabling rapid decision-making and adjustments without compromising application performance. OpenLIT's user interface is designed to provide a clear view of LLM expenses, token usage, performance metrics, and user interactions. Additionally, it facilitates seamless connections to widely-used observability platforms like Datadog and Grafana Cloud for automatic data export. This comprehensive approach ensures that your applications are consistently monitored, allowing for proactive management of resources and performance. With OpenLIT, developers can focus on enhancing their AI models while the tool manages observability seamlessly.

Mistral Large stands as the premier language model from Mistral AI, engineered for sophisticated text generation and intricate multilingual reasoning tasks such as text comprehension, transformation, and programming code development. This model encompasses support for languages like English, French, Spanish, German, and Italian, which allows it to grasp grammar intricacies and cultural nuances effectively. With an impressive context window of 32,000 tokens, Mistral Large can retain and reference information from lengthy documents with accuracy. Its abilities in precise instruction adherence and native function-calling enhance the development of applications and the modernization of tech stacks. Available on Mistral's platform, Azure AI Studio, and Azure Machine Learning, it also offers the option for self-deployment, catering to sensitive use cases. Benchmarks reveal that Mistral Large performs exceptionally well, securing its position as the second-best model globally that is accessible via an API, just behind GPT-4, illustrating its competitive edge in the AI landscape. Such capabilities make it an invaluable tool for developers seeking to leverage advanced AI technology.

Langtrace is an open-source observability solution designed to gather and evaluate traces and metrics, aiming to enhance your LLM applications. It prioritizes security with its cloud platform being SOC 2 Type II certified, ensuring your data remains highly protected. The tool is compatible with a variety of popular LLMs, frameworks, and vector databases. Additionally, Langtrace offers the option for self-hosting and adheres to the OpenTelemetry standard, allowing traces to be utilized by any observability tool of your preference and thus avoiding vendor lock-in. Gain comprehensive visibility and insights into your complete ML pipeline, whether working with a RAG or a fine-tuned model, as it effectively captures traces and logs across frameworks, vector databases, and LLM requests. Create annotated golden datasets through traced LLM interactions, which can then be leveraged for ongoing testing and improvement of your AI applications. Langtrace comes equipped with heuristic, statistical, and model-based evaluations to facilitate this enhancement process, thereby ensuring that your systems evolve alongside the latest advancements in technology. With its robust features, Langtrace empowers developers to maintain high performance and reliability in their machine learning projects.

SweKit empowers users to create PR agents that can review code, suggest enhancements, uphold coding standards, detect potential problems, automate merge approvals, and offer insights into best practices, thereby streamlining the review process and improving code quality. Additionally, it automates the development of new features, troubleshoots intricate issues, generates and executes tests, fine-tunes code for optimal performance, refactors for better maintainability, and ensures adherence to best practices throughout the codebase, which significantly boosts development speed and efficiency. With its sophisticated code analysis, advanced indexing, and smart file navigation tools, SweKit allows users to effortlessly explore and engage with extensive codebases. Users can pose questions, trace dependencies, uncover logic flows, and receive immediate insights, facilitating smooth interactions with complex code structures. Furthermore, it ensures that documentation remains aligned with the code by automatically updating Mintlify documentation whenever modifications are made to the codebase, guaranteeing that your documentation is precise, current, and accessible for both your team and users. This synchronization fosters a culture of transparency and keeps all stakeholders informed of the latest developments in the project's lifecycle.

Devika is an innovative open-source AI software engineer that interprets high-level commands, dissects them into actionable steps, gathers pertinent information, and writes code to achieve specified goals. By leveraging advanced language models, reasoning techniques, and browsing functionalities, Devika effectively aids in software development, handling intricate coding challenges with little human oversight. The platform is compatible with various programming languages and boasts essential features such as sophisticated AI planning, contextual keyword identification, and real-time agent monitoring. With the intention of becoming a formidable competitor to proprietary AI solutions, Devika presents a bold, open-source alternative for developers seeking versatile support in their projects. Ultimately, it seeks to empower programmers by streamlining the coding process and enhancing productivity.

E2B is an open-source runtime that provides a secure environment for executing AI-generated code within isolated cloud sandboxes. This platform allows developers to enhance their AI applications and agents with code interpretation features, enabling the safe execution of dynamic code snippets in a regulated setting. Supporting a variety of programming languages like Python and JavaScript, E2B offers software development kits (SDKs) for easy integration into existing projects. It employs Firecracker microVMs to guarantee strong security and isolation during code execution. Developers have the flexibility to implement E2B on their own infrastructure or take advantage of the available cloud service. The platform is crafted to be agnostic to large language models, ensuring compatibility with numerous options, including OpenAI, Llama, Anthropic, and Mistral. Among its key features are quick sandbox initialization, customizable execution environments, and the capability to manage long-running sessions lasting up to 24 hours. With E2B, developers can confidently run AI-generated code while maintaining high standards of security and efficiency.

LiteLLM serves as a comprehensive platform that simplifies engagement with more than 100 Large Language Models (LLMs) via a single, cohesive interface. It includes both a Proxy Server (LLM Gateway) and a Python SDK, which allow developers to effectively incorporate a variety of LLMs into their applications without hassle. The Proxy Server provides a centralized approach to management, enabling load balancing, monitoring costs across different projects, and ensuring that input/output formats align with OpenAI standards. Supporting a wide range of providers, this system enhances operational oversight by creating distinct call IDs for each request, which is essential for accurate tracking and logging within various systems. Additionally, developers can utilize pre-configured callbacks to log information with different tools, further enhancing functionality. For enterprise clients, LiteLLM presents a suite of sophisticated features, including Single Sign-On (SSO), comprehensive user management, and dedicated support channels such as Discord and Slack, ensuring that businesses have the resources they need to thrive. This holistic approach not only improves efficiency but also fosters a collaborative environment where innovation can flourish.

MacWhisper allows users to efficiently convert audio content into written text by harnessing OpenAI's Whisper technology. Users have the option to record audio directly from their microphone or any compatible input device on their Mac, or they can simply drag and drop audio files for precise transcription. It is capable of capturing meetings from various platforms, including Zoom, Teams, Webex, Skype, Chime, and Discord, while ensuring that all transcription is processed locally to maintain user privacy. Transcripts generated can be saved or exported in several formats, such as .srt, .vtt, .csv, .docx, .pdf, markdown, and HTML. MacWhisper is known for its rapid transcription capabilities, supporting over 100 languages, and features like transcript searching, synchronized audio playback, removal of filler words, and the ability to add speaker labels. The Pro version further extends its offerings with features like batch transcription, the ability to transcribe YouTube videos, integrations with AI services such as OpenAI's ChatGPT and Anthropic's Claude, as well as system-wide dictation and translation options for audio files into different languages. This makes MacWhisper an exceptional tool not just for individuals but also for professionals who require versatile transcription solutions.

Mastra is an open-source TypeScript framework that allows developers to build AI agents capable of performing tasks, managing knowledge, and retaining memory across interactions. With a clean and intuitive API, Mastra simplifies the creation of complex agent workflows, enabling real-time task execution and seamless integration with machine learning models like GPT-4. The framework supports task orchestration, agent memory, and knowledge management, making it ideal for applications in automation, personalized services, and complex systems.

Activepieces is an intuitive, open-source automation platform that enables teams to build powerful AI-driven workflows without any coding. With 280+ pre-built automation pieces (MCPs), users can easily integrate various applications, streamline repetitive tasks, and automate business processes. The platform offers no-code tools for creating chat interfaces, automating approvals, and generating AI-powered agents. Whether for small businesses or large corporations, Activepieces supports decentralized innovation and seamless collaboration, empowering teams to automate daily operations, improve productivity, and unlock the full potential of AI in their workflows.

Llama 4 Behemoth, with 288 billion active parameters, is Meta's flagship AI model, setting new standards for multimodal performance. Outpacing its predecessors like GPT-4.5 and Claude Sonnet 3.7, it leads the field in STEM benchmarks, offering cutting-edge results in tasks such as problem-solving and reasoning. Designed as the teacher model for the Llama 4 series, Behemoth drives significant improvements in model quality and efficiency through distillation. Although still in development, Llama 4 Behemoth is shaping the future of AI with its unparalleled intelligence, particularly in math, image, and multilingual tasks.

Llama 4 Maverick is a cutting-edge multimodal AI model with 17 billion active parameters and 128 experts, setting a new standard for efficiency and performance. It excels in diverse domains, outperforming other models such as GPT-4o and Gemini 2.0 Flash in coding, reasoning, and image-related tasks. Llama 4 Maverick integrates both text and image processing seamlessly, offering enhanced capabilities for complex tasks such as visual question answering, content generation, and problem-solving. The model’s performance-to-cost ratio makes it an ideal choice for businesses looking to integrate powerful AI into their operations without the hefty resource demands.

Llama 4 Scout is an advanced multimodal AI model with 17 billion active parameters, offering industry-leading performance with a 10 million token context length. This enables it to handle complex tasks like multi-document summarization and detailed code reasoning with impressive accuracy. Scout surpasses previous Llama models in both text and image understanding, making it an excellent choice for applications that require a combination of language processing and image analysis. Its powerful capabilities in long-context tasks and image-grounding applications set it apart from other models in its class, providing superior results for a wide range of industries.

LLM Gateway is a completely open-source, unified API gateway designed to efficiently route, manage, and analyze requests directed to various large language model providers such as OpenAI, Anthropic, and Google Vertex AI, all through a single, OpenAI-compatible endpoint. It supports multiple providers, facilitating effortless migration and integration, while its dynamic model orchestration directs each request to the most suitable engine, providing a streamlined experience. Additionally, it includes robust usage analytics that allow users to monitor requests, token usage, response times, and costs in real-time, ensuring transparency and control. The platform features built-in performance monitoring tools that facilitate the comparison of models based on accuracy and cost-effectiveness, while secure key management consolidates API credentials under a role-based access framework. Users have the flexibility to deploy LLM Gateway on their own infrastructure under the MIT license or utilize the hosted service as a progressive web app, with easy integration that requires only a change to the API base URL, ensuring that existing code in any programming language or framework, such as cURL, Python, TypeScript, or Go, remains functional without any alterations. Overall, LLM Gateway empowers developers with a versatile and efficient tool for leveraging various AI models while maintaining control over their usage and expenses.

Anything is an innovative app and website builder powered by AI that allows users to create fully functional projects simply by using natural language prompts, eliminating the need for any coding skills. This platform harnesses a combination of cutting-edge and bespoke AI models to facilitate reasoning, action planning, code generation, app behavior exploration, and swift updates, meaning that users never have to interact with the source code. With Anything, users can take advantage of built-in design tools that enable the creation of sleek user experiences in mere seconds, along with instant access to development and production Postgres databases that offer over 1 GB of free storage per app. Additionally, it features seamless integration with Stripe for managing subscriptions and one-time payments, as well as secure authentication options through email, Google, Facebook, X, and more, all without requiring any complicated setup or API keys. Users can incorporate the latest AI models (including GPT-4o, GPT-3.5, Claude Sonnet 4, and Gemini 2.5) through simple prompts, generate image assets on demand, utilize web searches for API documentation and examples, and connect with a multitude of third-party APIs like Zapier and Google Maps, making it a versatile tool for developers and creators alike. The platform's user-friendly interface ensures that anyone can dive in and start building their projects effortlessly.

Release0 is an intuitive no-code conversational AI platform that enables companies to create, implement, and enhance engaging chat experiences, such as lead qualification, onboarding, customer support, product launches, and AI-driven chats, on various platforms including websites, WhatsApp, and custom domains, all without requiring any coding skills. With its user-friendly visual drag-and-drop flow builder, users can craft workflows that integrate features like text, multimedia, custom logic, input collection, conditionals, payment processing, and AI integrations with tools like OpenAI, Claude, Mistral, and Groq, among others. The platform allows for effortless deployment through embed codes, links, QR codes, or integration plugins, such as those for WordPress, and boasts extensive integration options with CRM systems, Google Sheets, Zapier, analytics pixels, and conversational APIs, simplifying the automation process while ensuring scalability. Additionally, Release0's versatility makes it suitable for various business needs, providing a comprehensive solution for enhancing customer interactions across multiple channels.

Broxi AI is an innovative no-code platform that empowers users to transform a basic text description into a fully operational AI agent in just minutes, utilizing intuitive visual drag-and-drop functionalities that eliminate the need for any technical expertise. Its unique Broxi Autopilot feature allows users to input natural language commands, like “create an agent to handle FAQs from our PDF handbook,” and seamlessly specify various input types such as PDFs, chat interfaces, or websites, along with diverse output options like emails, messages, or API interactions. With a single click, Broxi efficiently builds, tests within an interactive sandbox, and enables immediate deployment of your AI agent through various channels, including API, web widgets, Slack integration, or embedded applications. Additionally, it boasts compatibility with numerous tools and systems, provides real-time monitoring and centralized management capabilities, and upholds enterprise-level security standards, ensuring that even non-technical teams can easily automate tasks related to customer support, internal processes, sales interactions, content creation, and data extraction without the necessity of coding. This makes Broxi a powerful ally for organizations aiming to enhance their efficiency and service delivery through AI.

Vivgrid serves as a comprehensive development platform tailored for AI agents, focusing on critical aspects such as observability, debugging, safety, and a robust global deployment framework. It provides complete transparency into agent activities by logging prompts, memory retrievals, tool interactions, and reasoning processes, allowing developers to identify and address any points of failure or unexpected behavior. Furthermore, it enables the testing and enforcement of safety protocols, including refusal rules and filters, while facilitating human-in-the-loop oversight prior to deployment. Vivgrid also manages the orchestration of multi-agent systems equipped with stateful memory, dynamically assigning tasks across various agent workflows. On the deployment front, it utilizes a globally distributed inference network to guarantee low-latency execution, achieving response times under 50 milliseconds, and offers real-time metrics on latency, costs, and usage. By integrating debugging, evaluation, safety, and deployment into a single coherent framework, Vivgrid aims to streamline the process of delivering resilient AI systems without the need for disparate components in observability, infrastructure, and orchestration, ultimately enhancing efficiency for developers. This holistic approach empowers teams to focus on innovation rather than the complexities of system integration.

Rebolt is a sophisticated AI platform tailored for enterprises, allowing businesses to develop bespoke applications and intelligent agents through simple verbal commands directed at the AI. It provides seamless integration with various corporate tools like OneDrive, SharePoint, Salesforce, and Slack, as well as custom APIs, and includes essential infrastructure such as databases, file storage, scheduling capabilities (like cron jobs), audit logs, and separate environments for staging and production deployment. Users can generate applications and agents without any need for API key coding, merely by articulating their requirements in natural language, while still ensuring robust enterprise security features, permissions mapping through systems like Azure groups, and role-based access controls. This platform is specifically engineered for constructing operational workflows, internal tools, and automation that link to the firm's existing data and services, thus empowering non-technical users or low-code teams to quickly create solutions that can replace spreadsheets, cumbersome manual processes, and disjointed SaaS solutions. Additionally, Rebolt's intuitive design fosters increased collaboration among teams, enhancing productivity and innovation within the organization.

BotDojo serves as a robust AI enablement platform tailored for enterprises, allowing companies to create, implement, oversee, and expand intelligent agents across various communication channels like chat, voice, email, and web, all through an intuitive low-code visual workflow designer that seamlessly integrates with existing enterprise data systems. It boasts a library of over 100 pre-built templates aimed at streamlining typical applications, including support automation, knowledge retrieval, sales analytics, and internal operations, while also facilitating branching logic, memory capabilities, and the orchestration of tools such as code, RPA, and web browsing. In addition, BotDojo establishes connections with essential business tools like CRMs, ticketing platforms, and databases to enhance its functionality. The platform further fosters continuous improvement and learning for agents through human feedback loops, enabling employees to mentor agents by providing feedback, embedding corrections into agent memory and responses, and assessing performance using comprehensive observability metrics, including deflection rates, first-contact resolution, and cost per interaction. Ultimately, BotDojo not only optimizes operational efficiency but also ensures that intelligent agents evolve and adapt to meet organizational needs effectively.

Ekinox serves as a visual AI automation platform that allows users to create, implement, and oversee AI-driven workflows without the need for coding; its user-friendly drag-and-drop interface facilitates the design of intelligent agents that can link to over 100 pre-existing integrations, triggering actions across numerous productivity, data, and communication applications. The platform is designed for real-time processing and encourages collaboration by offering team workspaces, version control, and immediate deployment capabilities. In addition, it boasts enterprise-level security that adheres to SOC 2 standards, features bank-level encryption, supports custom API connectors, and includes sophisticated access controls. Users benefit from the ability to monitor their workflows through comprehensive analytics dashboards, enabling them to assess costs and performance across various models and integrations while utilizing predictive auto-scaling and log retention for enhanced functionality. With setup times cut down to mere minutes, Ekinox optimizes processes ranging from straightforward task automation to more complex workflows, making it an invaluable tool. This efficiency not only improves productivity but also enhances the overall user experience.

CodinIT.dev is an open-source platform that uses AI to turn plain-language instructions into full-stack applications in just a few minutes. Instead of writing code from scratch, users describe the type of software they need, and the system builds the frontend, backend, database structure, and deployment configuration automatically. The service connects with more than 19 AI models — such as OpenAI, Anthropic Claude, Google Gemini, and Mistral — giving users flexibility in how their apps are generated. Its in-browser WebContainer workspace provides instant code execution, live previews, a built-in terminal, and Git integration without requiring local setup. CodinIT.dev supports a wide range of frameworks, including React, Vue, Angular, Svelte, Next.js, Nuxt, Astro, and React Native. Applications can be deployed quickly to platforms like Vercel, Netlify, or GitHub Pages, and users can link directly to backend or database tools such as Supabase. All generated code can be exported, ensuring complete project ownership. Designed for both developers and non-technical creators, CodinIT.dev simplifies the process of building modern applications by letting users generate production-ready software from a simple text prompt.

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.