Business Software for OpenRouter

Laguna M.1 stands out as Poolside's most proficient model for agentic coding, meticulously developed in-house specifically for enhancing software development workflows. This model features a total of 225 billion parameters, utilizing a Mixture of Experts architecture with 23 billion activated parameters, and has been trained entirely within the organization on a dataset consisting of 30 trillion tokens, leveraging the power of 6,144 interconnected NVIDIA H200 GPUs. Poolside undertook the task of training Laguna M.1 from the ground up, employing its proprietary data, dedicated training codebase, and an asynchronous on-policy reinforcement learning approach within its agent framework, all tailored for agentic coding applications. The design of the model ensures optimal performance within Poolside's coding agent, enabling it to effectively reason through software tasks, interact with various tools, edit code, execute tests, and facilitate extended autonomous development sessions. Specifically crafted for developers and teams tackling intricate coding challenges, Laguna M.1 offers enhanced capabilities in reasoning, architectural comprehension, terminal operations, and multi-step execution, surpassing what lighter models can achieve. Ultimately, its robust feature set positions it as an essential asset for those engaged in demanding software projects.

Sakana Fugu is a multi-agent AI platform and AI model that gives users access to coordinated model intelligence through one API. Instead of relying on one frontier model, Fugu dynamically selects, routes, and coordinates multiple expert models to complete complex tasks more effectively. The system is based on research into learned model orchestration, including the TRINITY and Conductor approaches for assembling agents and guiding collaboration patterns. Fugu is designed for coding, code review, reasoning, research, paper reproduction, cybersecurity analysis, patent investigation, and other work that benefits from multiple specialized agents. Users can access Fugu and Fugu Ultra through an OpenAI-compatible API, making integration easier for existing workflows and developer tools. Fugu is positioned as the default option for everyday use because it balances performance and latency. Fugu Ultra is built for difficult, high-value tasks where maximum quality matters more than speed. The platform also gives organizations the ability to opt out of specific models or providers for data, privacy, compliance, or internal policy reasons. Sakana Fugu helps users reduce dependence on a single AI vendor while gaining a flexible orchestration layer for advanced multi-step AI work.

YeeroAI serves as a comprehensive AI knowledge platform that transforms conversations into enduring knowledge and cultivates a network of ideas. Each dialogue contributes to a personal repository of wisdom, empowering users to delve into various concepts, juxtapose models like GPT, Claude, and Gemini, and develop an AI memory that enhances its intelligence over time. The platform treats every message as a foundational element of a user's knowledge base, with each conceptual branch serving to broaden their thought processes. By automatically identifying key insights from discussions, YeeroAI constructs vector indexes and integrates pertinent context into future dialogues, ensuring that the knowledge base becomes increasingly beneficial with each user interaction. Its innovative Git-style branch management system enables individuals to fork, merge, and revisit their thought lines seamlessly, preventing any loss of direction. Additionally, the ability to engage multiple leading AI models in parallel chats allows for simultaneous inquiries and side-by-side answer comparisons. Furthermore, YeeroAI offers comprehensive management of the entire AI application lifecycle, enabling users to articulate ideas in straightforward language, create HTML applications, and enhance them through AI-driven refinement, thus fostering a creative and iterative development environment. The platform truly transforms the way users engage with knowledge and AI technology.

OpenRouter Fusion transforms a prompt into a compact deliberation process involving multiple models, allowing users to access combined results as effortlessly as they would from a single model. A consortium of specialized models examines the prompt simultaneously while utilizing web search and web fetch capabilities, after which a judge model evaluates their outputs and presents a structured analysis featuring consensus, contradictions, partial coverage, unique insights, and blind spots. This comprehensive analysis culminates in the final answer, enabling users to gain insights from various viewpoints instead of depending solely on one model. Fusion is particularly advantageous in scenarios where a single model falls short, such as in research, expert evaluations, comparative prompts, multi-domain inquiries, or any situation where inaccuracies could be costly. Users have the flexibility to access Fusion directly via the openrouter/fusion model alias, activate it as a fusion server tool, or set it up through the Fusion plugin; all these methods utilize the same underlying framework. By providing these versatile entry points, Fusion caters to a wide range of user needs and preferences.

Wafer is revolutionizing enterprise AI by offering the quickest open-source LLMs, enabling serverless and dedicated inference designed specifically for production workloads. With its serverless inference, teams can utilize top-tier open models without the burden of infrastructure and deployment challenges, providing rapid APIs that include GLM-5.2-Fast for reduced latency through EAGLE speculative decoding and a guaranteed throughput SLA, alongside GLM-5.2, which serves as a flagship model boasting enhanced coding and reasoning abilities. Wafer's innovative technology employs agents to optimize inference throughout the stack, pinpointing and addressing bottlenecks in orchestration, algorithms, serving engines, GPU kernels, and various hardware setups. This system meticulously profiles the stack to determine whether latency or throughput issues arise from factors such as scheduling, decoding, kernels, memory pressure, or hardware compatibility, and then it explores numerous paths to deliver the most effective solution. Rather than depending on a singular switch or heuristic, Wafer undertakes a comprehensive search of combinations involving models, engines, kernels, and hardware to maximize performance. By continually refining these combinations, Wafer ensures that enterprises can operate at peak efficiency while leveraging the best of open-source technologies.

Minds allows you to establish your own AI agent in less than a minute. This always-available assistant can be accessed through Telegram or email without needing any applications, coding, or installations. Minds efficiently manages tasks such as scheduling, email handling, research, reminders, daily chores, appointments, travel plans, side ventures, sales, wellness activities, family scheduling, and much more, enabling you to simply state your requirements and let your Mind take care of the rest. Yet, one Mind is merely the starting point: it can be utilized by multiple users, connect with other Minds for collaboration, and expand into a specialized team of Minds as tasks become more complex. The Bazaar offers one-click Minds like a General Assistant, designed to handle bookings, reminders, and everyday tasks, while integrating with tools such as Google Calendar, Gmail, Google Tasks, Google Sheets, and Google Docs. Additionally, creators have the ability to develop Skills by articulating desired outcomes in straightforward language, further enhancing the utility of the Minds platform. With these innovative features, Minds is revolutionizing how we interact with technology to streamline our daily lives.

AI Workers are independent agents crafted specifically for your organization; these advanced AI entities function like genuine colleagues rather than mere chatbots awaiting instructions. Each comes equipped with its own professional identity, including an email, phone number, and presence on platforms like Slack and Teams, demonstrating initiative and the capacity to operate around the clock without needing prompts. Rather than dictating every detail of their tasks, you simply define the objectives, and they autonomously develop the necessary workflows, accommodating a variety of tasks such as generating daily reports, conducting weekly follow-ups, managing CRM updates, handling client interactions, performing research, overseeing content creation, executing finance responsibilities, coordinating HR activities, supporting design projects, and assisting with development operations. This system includes a diverse range of specialized AI Workers tailored for functions in marketing, development, design, HR, finance, and more, with each worker crafted for a specific role and practical applications. Furthermore, AI Workers can integrate seamlessly with over 3,000 tools, such as Slack, Microsoft Teams, Gmail, Notion, HubSpot, Salesforce, and various other business applications, ensuring they fit effortlessly into your existing workflows. Their versatility and adaptability make them an invaluable asset for enhancing productivity and streamlining processes in any business environment.

Siket is an innovative new tab workspace that transforms your browser's new tab into a centralized command hub for managing todos, focus, emails, calendar events, tab sessions, habits, and AI features. Designed to prioritize keyboard navigation and optimized for Chrome, Edge, and Brave browsers, it consolidates the various aspects of your daily tasks into a single, cohesive starting point. Rather than opening a blank tab and getting sidetracked by other applications, users can initiate their workflow through Siket, allowing them to quickly identify urgent tasks, organize their day, manage emails, monitor habits, restore previous work sessions, and dive into focused work with ease. The platform offers practical guides tailored to real-world work scenarios, such as morning routines, email management, deep focus periods, Slack communications, research activities, and accessing cloud files. By seamlessly integrating todos, calendar events, habits, and emails into a unified schedule, Siket aids users in transforming their fragmented commitments into a more streamlined daily agenda. For tasks involving research and concentrated effort, the Focus feature can be effectively combined with Tab Sessions, ensuring that research tabs are restored after each session, thereby maintaining context and enhancing productivity. This holistic approach not only simplifies task management but also fosters a more organized and efficient work environment.

LLMeter is a comprehensive open-source platform designed for monitoring AI costs, allowing developers to manage their expenditures across various providers like OpenAI, Anthropic, DeepSeek, OpenRouter, Mistral, and Azure OpenAI from a single dashboard. By simply connecting read-only provider keys, teams can instantly access detailed insights into actual costs, daily usage trends, model-specific analytics, and potential areas for optimization, all within approximately 30 seconds and without any need for SDK installation, endpoint modifications, or rerouting production traffic through a proxy. Since it facilitates direct communication with model providers, LLMeter introduces no additional latency, avoids becoming a single point of failure, and does not access or store any user prompts or completions. Additionally, budget alerts notify teams prior to exceeding their daily or monthly spending thresholds, while anomaly detection features help catch unexpected usage surges before they escalate. The platform's dashboard provides a clear overview of the costs associated with various providers, models, endpoints, customers, and environments, and its integration with OpenRouter enhances transparency by covering over 500 models, ensuring users have a robust tool for managing their AI-related expenditures efficiently. Ultimately, LLmeter empowers teams to make informed financial decisions regarding their AI usage.

Dograh is a self-hostable voice agent platform that is open source and features a no-code workflow builder designed for developing production-ready voice agents. Teams have the flexibility to select their preferred inbound channels, speech-to-text services, language models, text-to-speech options, and telephony providers, or they can opt for innovative speech-to-speech models that facilitate direct audio interactions with seamless turn-taking, interruption management, and minimal latency. The platform caters to both inbound and outbound calling, offering widgets, telephony integrations, observability, tracing capabilities, real-time analytics, and a hybrid approach that combines pre-recorded voice with TTS, all while supporting over 70 languages. Additionally, the MCP server enables various agent runtimes, including Claude Code, Cursor, OpenClaw, and Codex, to create, modify, and deploy voice agents directly from development environments. Dograh can be operated on personal servers, within a private cloud or virtual private cloud, or in a managed setting, ensuring that models can be hosted entirely within the user's infrastructure. With its extensive features and adaptability, Dograh stands out as a versatile solution for teams looking to innovate in voice technology.

ZGI is an open-source AI platform designed for enterprises to create business-oriented agents that leverage their specific data, tools, workflows, models, and expertise. With its Agent Runtime feature, agents can efficiently load Skills, access real-time company insights, utilize various tools, and quickly deliver valuable results. The Model Gateway integrates multiple global and domestic model providers, such as OpenAI, Anthropic, Google, DeepSeek, and Qwen, enabling teams to select the most suitable model for each agent based on criteria like quality, availability, cost, or geographic location while maintaining centralized control over access, quotas, routing policies, and fallback options. The comprehensive product workspace encompasses the entire agent development lifecycle: Agent Studio merges Skills, knowledge, tools, and models; Workflows facilitate complex, multi-step processes and allow users to monitor each execution closely; the Database enables natural-language queries over real-time business information while adhering to access governance; Model Management oversees provider connections and enterprise-level routing; and Knowledge Assets transform company documents into searchable, context-aware knowledge repositories. By integrating these features, ZGI aims to streamline the deployment and management of AI agents within enterprises.

Assistable is a comprehensive AI conversation platform that facilitates the creation, testing, deployment, and monitoring of hybrid AI agents capable of responding to calls, texts, WhatsApp messages, and web chats while maintaining a unified memory across all channels. These agents effectively manage entire customer dialogues, interpret intent, retrieve information, qualify leads, and perform tasks such as booking, rescheduling, or canceling appointments, as well as creating support tickets, updating contact details, adding notes and tasks, and escalating issues to human agents when necessary. Thanks to the continuity of memory across channels, a customer can initiate a conversation via phone and seamlessly transition to text or chat later without needing to repeat any previous exchanges. Users can easily outline the desired functionalities of an agent using simple English, connect Assistable through MCP, and have the platform automatically generate the agent, attach relevant tools, connect various communication channels, and designate a phone number. Furthermore, these agents can access real-time calendar availability, follow up with potential leads, and facilitate both incoming and outgoing conversations, ensuring a seamless customer experience throughout the interaction process. This versatility ensures that businesses can efficiently manage customer inquiries while maximizing engagement across different communication platforms.

VibeView is a cloud-based simulator accessible through browsers on iOS, Android, Apple TV, and Android TV, featuring real-time connection capabilities, AI-driven mobile app testing, an SDK that can be embedded into devices, and the ability to generate instantly shareable app previews. This innovative tool empowers developers, QA teams, and product managers to execute mobile applications directly from their browsers, eliminating the need for a Mac, Xcode, Android Studio, or physical devices. Users can simply upload their iOS or Android builds and within moments, stream a live simulator, sharing links that allow teammates, clients, beta testers, or sales prospects to engage with the app immediately—without requiring any installations, TestFlight, or provisioning profiles. Additionally, VibeView serves as a versatile development tool as well, where executing the command vibeview dev allows your React Native application to stream to a browser simulator with complete hot reload capabilities—enabling immediate feedback on code edits made locally, all without the necessity of a Mac, Xcode, Android Studio, or a physical device. As a result, both testing and development processes become streamlined and more efficient, enhancing collaboration and productivity.

OpenAI’s GPT-5 represents the cutting edge in AI language models, designed to be smarter, faster, and more reliable across diverse applications such as legal analysis, scientific research, and financial modeling. This flagship model incorporates built-in “thinking” to deliver accurate, professional, and nuanced responses that help users solve complex problems. With a massive context window and high token output limits, GPT-5 supports extensive conversations and intricate coding tasks with minimal prompting. It introduces advanced features like the verbosity parameter, enabling users to control the detail and tone of generated content. GPT-5 also integrates seamlessly with enterprise data sources like Google Drive and SharePoint, enhancing response relevance with company-specific knowledge while ensuring data privacy. The model’s improved personality and steerability make it adaptable for a wide range of business needs. Available in ChatGPT and API platforms, GPT-5 brings expert intelligence to every user, from casual individuals to large organizations. Its release marks a major step forward in AI-assisted productivity and collaboration.

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.

SheetMagic is an innovative Google Sheets add-on that integrates unlimited AI content creation and web scraping capabilities directly into your spreadsheets. This powerful tool allows users to generate content and images through simple formulas, utilizing advanced models like GPT-3.5 Turbo, GPT-4/GPT-4 Turbo/GPT-4o, DALL·E 3, and any other LLM via OpenRouter, all without the need for coding or additional markup costs. With SheetMagic, you can efficiently clean, analyze, summarize, and categorize your data; scrape comprehensive information from entire web pages, search engine results, meta titles, headings, and custom selectors; and automate the generation of bulk product descriptions, advertising copy, sales emails, SEO-friendly content, and enriched lead lists based on your existing sheet data and scraped information. This add-on also facilitates programmatic workflows, supports multi-language prompts, and allows for team collaboration with sharing capabilities, audit trails, and real-time dashboards, thereby simplifying repetitive tasks and enabling you to concentrate on strategic initiatives rather than manual data entry. By harnessing the power of AI and automation, SheetMagic significantly enhances productivity and efficiency for users across various industries.

The Gemini 2.5 Flash Image is Google's cutting-edge model for image creation and modification, now available through the Gemini API, build mode in Google AI Studio, and Gemini Enterprise Agent Platform. This model empowers users with remarkable creative flexibility, allowing them to seamlessly merge various input images into one cohesive visual, ensure character or product consistency throughout edits for enhanced storytelling, and execute detailed, natural-language transformations such as object removal, pose adjustments, color changes, and background modifications. Drawing from Gemini’s extensive knowledge of the world, the model can comprehend and reinterpret scenes or diagrams contextually, paving the way for innovative applications like educational tutors and scene-aware editing tools. Showcased through customizable template applications in AI Studio, which includes features such as photo editors, multi-image merging, and interactive tools, this model facilitates swift prototyping and remixing through both prompts and user interfaces. With its advanced capabilities, Gemini 2.5 Flash Image is set to revolutionize the way users approach creative visual projects.

ShipAhead is designed for developers and startups that want to skip the painful setup phase and move straight to building real features. Its comprehensive Nuxt boilerplate includes authentication options like email/password, OAuth, and magic link login, making onboarding effortless. It also integrates Stripe for payments, supports subscriptions, and handles multi-currency billing right out of the box. Security features such as Cloudflare Turnstile captcha and Redis-based rate limiting protect your app from abuse. On the backend, ShipAhead includes a Postgres + Drizzle ORM setup, file storage with Cloudflare R2 or AWS S3, cron jobs for automation, and a super admin dashboard for user and content management. Frontend developers benefit from responsive UI components, pre-built layouts, and PWA support for installable apps. Additional perks like affiliate support, customer chat widgets, pre-written legal pages, and AI-powered templates further reduce overhead. With lifetime access pricing, ShipAhead is a one-time investment that saves developers hundreds of hours while providing continuous updates.

Raptor Write is a complimentary writing assistant powered by AI, developed by the Future Fiction Academy, aimed at aiding writers in brainstorming, outlining, and drafting their narratives with ease. Its user-friendly, distraction-minimized design allows authors to concentrate on their creative ideas rather than getting bogged down by complex tools. All work is securely stored within the user’s browser, granting them greater autonomy over their projects. By utilizing OpenRouter, the tool permits users to integrate various AI models and test different writing styles. Although it is straightforward and lightweight, it lacks some of the more advanced structural features available in more robust writing platforms. Nevertheless, it serves as an inviting, cost-free option for writers eager to delve into the integration of AI into their creative processes. With its approachable design and functionalities, it encourages experimentation and innovation among aspiring authors.

The latest iteration in the GPT-5 series, known as GPT-5.1, aims to significantly enhance the intelligence and conversational abilities of ChatGPT. This update features two separate model types: GPT-5.1 Instant, recognized as the most popular option, is characterized by a warmer demeanor, improved instruction adherence, and heightened intelligence; on the other hand, GPT-5.1 Thinking has been fine-tuned as an advanced reasoning engine, making it easier to grasp, quicker for simpler tasks, and more diligent when tackling complex issues. Additionally, queries from users are now intelligently directed to the model variant that is best equipped for the specific task at hand. This update not only focuses on boosting raw cognitive capabilities but also on refining the communication style, resulting in models that are more enjoyable to interact with and better aligned with users' intentions. Notably, the system card addendum indicates that GPT-5.1 Instant employs a feature called "adaptive reasoning," allowing it to determine when deeper thought is necessary before formulating a response, while GPT-5.1 Thinking adjusts its reasoning time precisely in relation to the complexity of the question posed. Ultimately, these advancements mark a significant step forward in making AI interactions more intuitive and user-friendly.

Gemini Image Pro is an advanced multimodal system for generating and editing images, allowing users to craft, modify, and enhance visuals using natural language prompts or by integrating various input images. This platform ensures uniformity in character and object representation throughout edits and offers detailed local modifications, including background blurring, object removal, style transfers, or pose alterations, all while leveraging inherent world knowledge for contextually relevant results. Furthermore, it facilitates the fusion of multiple images into a single, cohesive new visual and prioritizes design workflow elements, featuring template-based outputs, consistency in brand assets, and the ability to maintain recurring character or style appearances across different scenes. Additionally, the system incorporates digital watermarking to identify AI-generated images and is accessible via Gemini API, Google AI Studio, and Gemini Enterprise Agent Platform, making it a versatile tool for creators across various industries. With its robust capabilities, Gemini Image Pro is set to revolutionize the way users interact with image generation and editing technologies.

LFM2 represents an advanced series of on-device foundation models designed to provide a remarkably swift generative-AI experience across a diverse array of devices. By utilizing a novel hybrid architecture, it achieves decoding and pre-filling speeds that are up to twice as fast as those of similar models, while also enhancing training efficiency by as much as three times compared to its predecessor. These models offer a perfect equilibrium of quality, latency, and memory utilization suitable for embedded system deployment, facilitating real-time, on-device AI functionality in smartphones, laptops, vehicles, wearables, and various other platforms, which results in millisecond inference, device durability, and complete data sovereignty. LFM2 is offered in three configurations featuring 0.35 billion, 0.7 billion, and 1.2 billion parameters, showcasing benchmark results that surpass similarly scaled models in areas including knowledge recall, mathematics, multilingual instruction adherence, and conversational dialogue assessments. With these capabilities, LFM2 not only enhances user experience but also sets a new standard for on-device AI performance.

The GPT-5.2 Thinking variant represents the pinnacle of capability within OpenAI's GPT-5.2 model series, designed specifically for in-depth reasoning and the execution of intricate tasks across various professional domains and extended contexts. Enhancements made to the core GPT-5.2 architecture focus on improving grounding, stability, and reasoning quality, allowing this version to dedicate additional computational resources and analytical effort to produce responses that are not only accurate but also well-structured and contextually enriched, especially in the face of complex workflows and multi-step analyses. Excelling in areas that demand continuous logical consistency, GPT-5.2 Thinking is particularly adept at detailed research synthesis, advanced coding and debugging, complex data interpretation, strategic planning, and high-level technical writing, showcasing a significant advantage over its simpler counterparts in assessments that evaluate professional expertise and deep understanding. This advanced model is an essential tool for professionals seeking to tackle sophisticated challenges with precision and expertise.

The GPT-5.2 Instant model represents a swift and efficient iteration within OpenAI's GPT-5.2 lineup, tailored for routine tasks and learning, showcasing notable advancements in responding to information-seeking inquiries, how-to guidance, technical documentation, and translation tasks compared to earlier models. This version builds upon the more engaging conversational style introduced in GPT-5.1 Instant, offering enhanced clarity in its explanations that prioritize essential details, thus facilitating quicker access to precise answers for users. With its enhanced speed and responsiveness, GPT-5.2 Instant is adept at performing common functions such as handling inquiries, creating summaries, supporting research efforts, and aiding in writing and editing tasks, while also integrating extensive enhancements from the broader GPT-5.2 series that improve reasoning abilities, manage longer contexts, and ensure factual accuracy. As a part of the GPT-5.2 family, it benefits from shared foundational improvements that elevate its overall reliability and performance for a diverse array of daily activities. Users can expect a more intuitive interaction experience and a significant reduction in the time spent searching for information.

The Pro version of OpenAI’s latest GPT-5.2 model family, known as GPT-5.2 Pro, stands out as the most advanced offering, designed to provide exceptional reasoning capabilities, tackle intricate tasks, and achieve heightened accuracy suitable for high-level knowledge work, innovative problem-solving, and enterprise applications. Building upon the enhancements of the standard GPT-5.2, it features improved general intelligence, enhanced understanding of longer contexts, more reliable factual grounding, and refined tool usage, leveraging greater computational power and deeper processing to deliver thoughtful, dependable, and contextually rich responses tailored for users with complex, multi-step needs. GPT-5.2 Pro excels in managing demanding workflows, including sophisticated coding and debugging, comprehensive data analysis, synthesis of research, thorough document interpretation, and intricate project planning, all while ensuring greater accuracy and reduced error rates compared to its less robust counterparts. This makes it an invaluable tool for professionals seeking to optimize their productivity and tackle substantial challenges with confidence.