Business Software for OpenClaw

Laguna S 2.1 is an advanced open weight coding model that emphasizes long-term project completion and efficient reasoning capabilities. Featuring a 118-billion-parameter Mixture-of-Experts architecture, it activates 8 billion parameters for each token and accommodates a context window of up to one million tokens in both thinking and non-thinking modes. The model’s streamlined active size allows it to perform intricate tasks on local machines while still competing favorably against significantly larger models across various benchmarks, including terminal usage, software engineering, codebase question answering, and tool utilization. Designed for resilience, Laguna S 2.1 excels in tackling challenging assignments with enhanced persistence, meticulous verification, and a readiness to backtrack rather than prematurely claim success. In practical applications, it has successfully created and validated a browser rendering engine from scratch, optimized an agent harness for improved execution speed and reduced memory usage, and conducted extensive mathematical research using the available tools within its environment, demonstrating its versatility and effectiveness. This combination of features positions Laguna S 2.1 as a powerful tool for developers seeking innovative solutions.

GLM-5.3-Flash is a multimodal foundation model from Z.ai built for high-efficiency reasoning, coding, agents, and visual understanding. The model contains 320 billion parameters in total but activates only 18 billion parameters during inference, helping reduce compute requirements. Its architecture combines linear attention with sparse attention so it can efficiently handle both local dependencies and relevant information spread across very long contexts. Z.ai also introduced IndexPool to reduce the memory and latency overhead associated with long-context retrieval at context lengths reaching one million tokens. The model was pretrained on a 30-trillion-token multimodal dataset that incorporates both textual and visual information. GLM-5.3-Flash is designed for software engineering tasks, autonomous workflows, frontend development, computer use, document analysis, and other professional workloads that benefit from visual reasoning. Its visual coding capabilities allow it to inspect rendered interfaces, identify layout or interaction problems, and use those observations to revise its work. Benchmark results published by Z.ai show that it improves substantially over GLM-5.2 on multiple coding and agentic tests while remaining competitive with more expensive frontier models. GLM-5.3-Flash can be accessed through Z.ai services and is also available as downloadable model weights for deployment through supported open inference frameworks.

Kimi K2.7 Code is a Moonshot AI coding model built to help developers handle software engineering, code generation, debugging, and agent-based development workflows. It focuses on long-horizon coding tasks, where an AI assistant needs to understand goals, work across many files, and complete multi-step development work. The model builds on the Kimi K2.6 architecture and is described as improving agentic capabilities while reducing thinking-token usage by about 30% compared with K2.6. Kimi K2.7 Code offers a 256K context window, which helps developers work with larger repositories, longer prompts, and more detailed project instructions. It can be accessed through Kimi Code, Moonshot’s API platform, and third-party model providers such as Together AI. The model also supports OpenAI- and Anthropic-compatible APIs, making it easier for teams to test it as a replacement or addition to existing coding assistant workflows. Developers who want to self-host or experiment with the model can access it through Hugging Face, where deployment guidance references vLLM, SGLang, and KTransformers. Kimi K2.7 Code is especially relevant for teams interested in open-source coding agents, long-context software tasks, and tool-integrated development. While some third-party commentary notes that benchmark claims should be reviewed carefully, the model is positioned as a strong option for developers seeking flexible, agentic coding support.

Gemini 3.5 Flash is Google’s high-performance multimodal AI model built to deliver frontier-level intelligence, fast execution speeds, and advanced agentic capabilities for coding, automation, and enterprise workflows. As the first release in the Gemini 3.5 series, the model is designed to help developers, businesses, and users execute complex long-horizon tasks through AI-powered reasoning, workflow orchestration, and intelligent automation. Gemini 3.5 Flash combines powerful coding performance, multimodal understanding, and real-time responsiveness while outperforming earlier Gemini models and competing frontier AI systems across several coding and reasoning benchmarks. The model is optimized for agentic workflows, allowing it to plan, execute, and manage multi-step tasks such as software development, infrastructure management, document preparation, and business process automation through the updated Antigravity harness. Gemini 3.5 Flash can also deploy collaborative subagents that work together under supervision to complete demanding workflows more efficiently and at lower operational cost. Beyond coding and automation, the platform generates richer graphics, dynamic web interfaces, interactive animations, and advanced multimodal experiences that support developers and enterprise users building AI-driven applications. Google has integrated Gemini 3.5 Flash across the Gemini app, AI Mode in Google Search, Google AI Studio, Android Studio, Gemini Enterprise Agent Platform, and enterprise AI services to expand access to advanced AI capabilities globally. The model also powers Gemini Spark, Google’s new personal AI agent designed to operate continuously and assist users with digital life management and automated task execution.

DeepSeek-V4-Pro is an advanced Mixture-of-Experts language model built for high-performance reasoning, coding, and large-scale AI applications. With 1.6 trillion total parameters and 49 billion activated parameters, it delivers strong capabilities while maintaining computational efficiency. The model supports a massive context window of up to one million tokens, making it ideal for handling long documents and complex workflows. Its hybrid attention architecture improves efficiency by reducing computational overhead while maintaining accuracy. Trained on more than 32 trillion tokens, DeepSeek-V4-Pro demonstrates strong performance across knowledge, reasoning, and coding benchmarks. It includes advanced training techniques such as improved optimization and enhanced signal propagation for better stability. The model offers multiple reasoning modes, allowing users to choose between faster responses or deeper analytical thinking. It is designed to support agentic workflows and complex multi-step problem solving. As an open-source model, it provides flexibility for developers and organizations to customize and deploy at scale. Overall, DeepSeek-V4-Pro delivers a balance of performance, efficiency, and scalability for demanding AI applications.

Claude Opus 4.8 is Anthropic’s newest flagship AI model built to improve coding performance, reasoning accuracy, agentic task execution, and collaborative AI workflows for developers, enterprises, and advanced productivity use cases. The model serves as an upgrade to Claude Opus 4.7, delivering measurable improvements across benchmarks related to coding, practical reasoning, software engineering, and autonomous task management while maintaining the same pricing structure for standard usage. One of the most significant improvements in Claude Opus 4.8 is its enhanced honesty and judgment during complex tasks, reducing the likelihood of unsupported claims, hidden errors, or overlooked flaws in generated code and analytical outputs. Anthropic’s evaluations show that Opus 4.8 is substantially less likely than previous versions to allow software defects or reasoning mistakes to pass without flagging uncertainty or requesting clarification. The platform introduces new effort control settings that allow users to adjust how deeply the model reasons through tasks, balancing response quality, processing depth, speed, and token usage depending on workflow requirements. Claude Opus 4.8 also powers new dynamic workflow functionality in Claude Code, enabling the model to coordinate hundreds of parallel subagents within a single session to handle large-scale software engineering tasks such as codebase migrations and extensive automation projects. The model supports high-speed fast mode processing, now significantly more affordable than previous versions, while also offering higher-effort reasoning modes optimized for difficult coding and operational workflows.

Muse Spark 1.2 is Meta’s newest coding-focused model, released alongside Muse Code as part of Meta’s AI developer platform. The model improves on Muse Spark 1.1 with stronger code generation, complex debugging, codebase understanding, and full developer workflow performance. Muse Spark 1.2 powers Muse Code, a terminal coding agent that can plan changes, write code, validate results, and coordinate persistent background subagents. The model was co-trained with Muse Code so it performs well inside the agentic coding runtime and tool environment. Its training included scaled coding compute, broader training environment diversity, rejection-sampled harness trajectories, recipe optimizations, and Muse Code toolset integration. Muse Spark 1.2 is designed for long-horizon coding tasks such as whole-repository generation, large end-to-end projects, auto-research, and extended optimization work. It uses planning to sequence work, goal conditioning to stay aligned with the user’s objective, and context compaction to preserve useful knowledge over long sessions. The model also benefits from a self-improvement loop where Muse Spark 1.1 generated challenging coding environments and instruction-following templates for training. By combining coding specialization, agentic workflow support, long-horizon training, subagent compatibility, and Meta Model API availability, Muse Spark 1.2 helps developers build, debug, and optimize software more effectively.

MiniMax M3 is a frontier open-weight AI model built for coding, agentic work, multimodal understanding, and ultra-long-context tasks. The model supports up to a 1 million token context window, allowing it to work across large codebases, long documents, logs, project histories, and complex task environments. MiniMax M3 introduces MiniMax Sparse Attention, a sparse attention architecture designed to make long-context processing more efficient. The model is natively multimodal, with training that supports deeper semantic fusion across text, image, and video inputs. It is designed to support software engineering tasks, repository analysis, terminal-style work, browser-style retrieval, tool use, and autonomous workflows. MiniMax M3 has a mixture-of-experts architecture with hundreds of billions of total parameters and a smaller activated parameter count for more efficient inference. Developers can use it for AI coding assistants, workflow automation, research agents, document analysis, visual reasoning, and enterprise AI systems. Its long-context capability makes it especially useful when tasks require many files, references, instructions, or interaction histories to stay available at once. MiniMax M3 helps teams build more capable AI agents that can understand larger problems, work across multiple modalities, and execute complex tasks with stronger context awareness.

Seed2.1 represents a groundbreaking advancement in productivity tools, featuring two distinct AI models, Pro and Turbo, tailored for varying levels of user needs. Designed to address intricate challenges encountered in everyday tasks, workplace responsibilities, and innovative ventures, this agent significantly enhances capabilities in areas such as general assistance, code development, multimodal comprehension, knowledge application, and reasoning processes. For demanding office tasks and intricate daily consultations, Seed2.1 adeptly manages a range of multi-step processes, including project management, document handling, tool utilization, data analysis, solution formulation, content organization, and synthesis of outcomes. In the realm of software development, Seed2.1 optimizes end-to-end processes within enterprise-level workflows, covering aspects like requirement gathering, software architecture, feature development, debugging, environment configuration, and quality assurance. Additionally, the model is proficient in comprehending entire codebases, effectively coordinating updates across numerous files, and ensuring the delivery of sustainable, production-ready software engineering solutions. Ultimately, Seed2.1 not only enhances productivity but also empowers users to tackle complex challenges with confidence.

Google has introduced Gemini Omni, a groundbreaking family of models that merges reasoning skills with creative capabilities, starting with video production. The flagship model, Gemini Omni Flash, possesses the remarkable ability to generate content from diverse inputs such as images, audio, video, and text, resulting in high-quality videos enriched by Gemini's comprehensive knowledge of the real world. By allowing users to edit video through a conversational interface, it ensures that each instruction seamlessly builds upon the previous one, maintaining character consistency, adhering to the laws of physics, and retaining continuity in scenes. Users are empowered to modify intricate details or entire environments, reimagine actions, introduce new characters or objects, alter surroundings, adjust camera perspectives, enhance styles, and execute multi-step edits without losing sight of the original narrative. Designed to seamlessly connect photorealism with impactful storytelling, Gemini Omni skillfully reasons about subsequent actions, drawing on an innate understanding of natural forces like gravity, kinetic energy, and fluid dynamics, which enhances the overall storytelling experience. This innovative approach not only simplifies video editing but also opens new avenues for creative expression, making it accessible to a broader audience.

Seedance 2.5 is a video creation model from ByteDance Seed designed to move AI video generation from short clips toward complete creative works. Built on the multimodal audio-video joint-generation architecture introduced with Seedance 2.0, the model focuses on foundational generation, reference-based generation, long-form storytelling, and editing control. Seedance 2.5 can generate up to 30 seconds of high-quality audio-video content in one pass and supports multiple rounds of extension. This allows users to create multi-minute videos while maintaining consistency across characters, environments, shot transitions, pacing, motion, and sound. The model supports up to 30 image references, 10 video references, and 10 audio references in a single generation request. It can preserve visual composition, characters, props, voices, scene style, motion paths, and creative intent across complex multi-subject videos. Editing capabilities include timestamp-level changes, green screen workflows, camera perspective editing, reference-based editing, and targeted modifications to characters, actions, or plot elements. Seedance 2.5 is rolling out through Jimeng AI and Doubao Pro, with API access planned through BytePlus ModelArk. By combining long-form generation, multimodal references, cinematic quality, synchronized audio-video output, and professional editing control, Seedance 2.5 helps creators produce more coherent and polished AI videos.

Gemini Omni is an AI-powered multimodal video creation and editing platform developed by Google to help users transform ideas into cinematic-quality visual content using natural language interactions. The platform combines text, image, and video inputs to generate high-quality videos while simplifying traditionally complex video editing workflows through conversational AI capabilities. Gemini Omni allows users to perform advanced editing tasks such as cinematic zooming, background replacement, scene enhancement, and template-based production without needing specialized technical expertise or professional editing equipment. Users can upload footage from their camera roll, apply AI-driven modifications, and create polished videos using simple prompts and intuitive workflows. The platform also includes AI avatar generation capabilities that allow users to create personalized digital avatars that look and sound like them for more immersive and customized content creation. Gemini Omni is designed to make professional-grade video production more accessible for creators, marketers, businesses, and everyday users seeking faster and more flexible content generation tools. By combining multimodal AI generation with conversational editing controls, the platform reduces the complexity of traditional post-production and creative workflows. Gemini Omni is rolling out to Google AI Plus, Pro, and Ultra subscribers globally as part of Google’s expanding AI-powered creative ecosystem. Through AI-driven automation, multimodal generation, and intuitive editing experiences, Gemini Omni helps users create cinematic video content with greater speed, creativity, and ease.

Veo 3 is Google’s most advanced video generation tool, built to empower filmmakers and creatives with unprecedented realism and control. Offering 4K resolution video output, real-world physics, and native audio generation, it allows creators to bring their visions to life with enhanced realism. The model excels in adhering to complex prompts, ensuring that every scene or action unfolds exactly as envisioned. Veo 3 introduces powerful features such as precise camera controls, consistent character appearance across scenes, and the ability to add sound effects, ambient noise, and dialogue directly into the video. These new capabilities open up new possibilities for both professional filmmakers and enthusiasts, offering full creative control while maintaining a seamless and natural flow throughout the production.

Veo 3.1 expands upon the features of its predecessor, allowing for the creation of longer and more adaptable AI-generated videos. This upgraded version empowers users to produce multi-shot videos based on various prompts, generate sequences using three reference images, and incorporate frames in video projects that smoothly transition between a starting and ending image, all while maintaining synchronized, native audio. A notable addition is the scene extension capability, which permits the lengthening of the last second of a clip by up to an entire minute of newly generated visuals and sound. Furthermore, Veo 3.1 includes editing tools for adjusting lighting and shadow effects, enhancing realism and consistency throughout the scenes, and features advanced object removal techniques that intelligently reconstruct backgrounds to eliminate unwanted elements from the footage. These improvements render Veo 3.1 more precise in following prompts, present a more cinematic experience, and provide a broader scope compared to models designed for shorter clips. Additionally, developers can easily utilize Veo 3.1 through the Gemini API or via the Flow tool, which is specifically aimed at enhancing professional video production workflows. This new version not only refines the creative process but also opens up new avenues for innovation in video content creation.

OpenRouter is a unified AI inference platform that lets developers connect to a large catalog of models without integrating separately with every model provider. Through one API, users can access models from major AI companies including OpenAI, Google, Anthropic, Meta, Mistral, DeepSeek, Qwen, xAI, and numerous independent providers. The service supports multimodal workloads involving text, images, video, and audio. Developers can use a single account, credit balance, and API key across supported models instead of maintaining separate billing relationships and credentials. OpenRouter's routing infrastructure can prioritize providers based on factors such as price, latency, and reliability. Requests can also be redirected to alternate providers when a preferred endpoint becomes unavailable, helping applications maintain higher uptime. Organizations can configure data policies that restrict prompts to approved models and infrastructure providers. The platform provides benchmarks, model rankings, usage information, documentation, and developer tools for evaluating and deploying different models. OpenRouter is OpenAI API compatible, making it easier for teams to add broad model access to existing AI applications with limited integration changes.

Slack is an AI-powered productivity and collaboration platform designed to help teams work together through conversations, channels, automations, and connected business tools. It gives organizations a central place to manage communication, projects, customer conversations, files, meetings, workflows, and updates. Channels create transparent spaces where employees, external partners, apps, and AI agents can collaborate around shared work. Slackbot adds personalized AI assistance by using the messages, files, channels, apps, and tools users already have permission to access. It can answer questions, summarize missed conversations, schedule meetings, generate content, analyze reports, create charts, and help teams act on information inside Slack. The platform also includes huddles for quick voice and video conversations, Slack Connect for working with clients and partners, and Workflow Builder for automating repetitive tasks. Slack integrates with many business systems, including Salesforce, Agentforce, GitHub, Claude, Google Drive, Vercel, Jira, Zoom, HubSpot, Workday, and other workplace tools. Its AI and automation features help teams reduce meeting overload, find information faster, and coordinate work across departments. With security, scalability, and enterprise controls, Slack helps businesses create a connected operating system for everyday work.

Today's intricate business challenges require collaborative efforts from dedicated teams. To assist you and your team in mastering the art of effective collaboration, we have developed a comprehensive online guide. When you establish a collaborative environment for discussion and decision-making, the potential for success expands exponentially. Microsoft Teams consolidates all necessary resources into a unified workspace, allowing seamless communication through chat, virtual meetings, file sharing, and integration with various business applications. Enhance your team's synchronization with features like group chat, online meetings, calling, and web conferencing. Engage in collaborative document editing using integrated Microsoft 365 (formerly Office 365) tools such as Word, Excel, PowerPoint, and SharePoint. You can also incorporate your preferred Microsoft applications and third-party services to facilitate continuous business progress. Teams offers robust end-to-end security, comprehensive administrative control, and ensures compliance—all backed by Microsoft 365’s capabilities. Designed to accommodate various types of groups, Teams provides a free version with no commitments, as well as an option to access it within a superior suite of productivity tools. Embrace the power of teamwork and unlock new opportunities for innovation and growth.

Trello allows teams to work together more effectively and get more done. Trello's cards, lists, and boards allow teams to organize and prioritize projects in an easy, flexible, and rewarding manner. Trello can help your team stay organized, whether it's for work or a side project, or even the next family vacation. Trello cards allow you to dive into the details, adding attachments, comments, due dates and more. Collaborate on projects, from beginning to end. Let the robots do all the work! Automate your team's productivity with Butler. Eliminate tedious tasks from your to-do list. Trello can be used the way your team works best. Trello has the flexibility and features to suit any team's needs. Trello makes it easy to get your team started. All the tools and boards your team needs to succeed are gathered in one place. Integrate the apps that your team already uses into your workflow.

Discord is a no-cost communication application tailored for gamers, available on both desktop and mobile devices. Each day, millions of users flock to this widely used gaming platform to engage in conversations with friends via voice or text, and they can even broadcast their gameplay in high-definition quality to fellow Discord members. In addition to quickly setting up voice or text gatherings, the platform offers features to help users discover other players or teammates, seek out specific groups or activities, or simply discuss games during their leisure time. A standout feature of Discord is its versatility; it caters to all genres and types of games, making it an ideal tool for coordinating communication, regardless of the gaming experience you seek!

PrimeClaws serves as a managed hosting solution for OpenClaw autonomous AI agents, enabling users to easily deploy and operate their OpenClaw instances in the cloud without extensive setup or DevOps expertise; it prioritizes a straightforward, one-click deployment method, allowing an AI assistant powered by OpenClaw to function continuously without the need for a personal laptop or local server to remain operational. The platform supports leading large language models such as Claude, GPT, and Gemini, and features persistent memory across sessions, enabling agents to retain context and continue their tasks over time. Furthermore, it seamlessly integrates with popular messaging platforms like WhatsApp, Telegram, and Slack, ensuring that users can engage with their AI assistant through familiar channels. By utilizing PrimeClaws, users benefit from a simplified approach to infrastructure management, with global cloud operations guaranteeing consistent uptime, root access on self-hosted VPS environments, and comprehensive control over the agent’s ecosystem. This allows for the automatic maintenance of the AI instance, ensuring that it remains active and accessible at all times. Overall, PrimeClaws streamlines the deployment and management of AI assistants, making cutting-edge technology accessible to everyone, regardless of their technical background.

Windscribe is more than a VPN. Windscribe is a browser extension and a desktop application that works together to protect your online privacy and unblock websites. It also removes ads and trackers from your daily browsing. Windscribe is easy to use. It doesn't require you to mess with complicated settings or menus. Just turn it on once and it will run in the background.

Google Chrome is a modern web browser created to deliver speed, security, and productivity in one streamlined experience. Developed by Google, it works smoothly across operating systems and devices, making browsing consistent wherever you sign in. Chrome includes built-in AI tools like Gemini in Chrome, allowing users to summarize content, answer complex questions, and complete tasks using open tabs as context. The browser enhances searching with AI Mode directly in the address bar for deeper, more interactive results. Google Lens lets users search, translate, and identify objects directly from images or webpages. Chrome’s password manager automatically saves and generates strong passwords for safer browsing. Enhanced Safe Browsing actively warns users about phishing, malware, and harmful sites. Chrome offers extensive customization through themes, extensions, and tab management tools. Sync features keep bookmarks, payment methods, and saved data available across devices. Automatic updates ensure Chrome remains fast, stable, and secure without manual effort.

Everything revolves around listening. With countless songs and podcasts at your disposal, you don't need a credit card to enjoy them. Spotify makes it simple to discover the perfect music or podcast for any occasion, whether you're using a phone, tablet, or computer. Featuring millions of tracks and episodes, Spotify ensures that whether you're driving, exercising, celebrating, or unwinding, the ideal audio experience is always within reach. You have the option to select what you want to hear, or you can let Spotify surprise you with its recommendations. Additionally, you can explore curated collections from friends, artists, and celebrities, or even create your own radio station to enjoy a continuous stream of music. Let Spotify be the soundtrack to your life, with options to subscribe or enjoy for free. Dive into a world of sound that enhances every moment you live.

Notion is a comprehensive all-in-one workspace that empowers teams to write, plan, collaborate, and organize everything in one place. The platform offers a wide range of tools to create documents, manage tasks, and build detailed project roadmaps, allowing teams to work smarter, not harder. Notion's AI-powered features assist with summarizing lengthy documents, drafting content, and providing quick answers to questions related to ongoing projects. The platform's high degree of customization gives users the flexibility to set up workflows, build templates, and tailor the workspace to their needs, making it ideal for teams of any size. Whether it's managing a project timeline, tracking goals, or maintaining a shared knowledge base, Notion provides a flexible and powerful solution for improving collaboration, communication, and overall team productivity.

WhatsApp offers a messaging platform that is fast, straightforward, secure, and free*, accessible on mobile devices globally. Designed with small business owners in mind, WhatsApp Business is available for download at no cost, allowing users to create catalogs that highlight their products and services. Furthermore, it provides tools that facilitate easy communication with customers by automating responses, sorting messages, and enabling quick replies. In addition to supporting small enterprises, WhatsApp also assists medium and large businesses in delivering customer support and crucial notifications. To discover more about the WhatsApp Business API, you can visit their website. Privacy is a priority on WhatsApp, which is why our latest app versions feature end-to-end encryption, ensuring that your most intimate conversations remain confidential. With this security measure, only you and your conversation partner can access your messages and calls, safeguarding them from interception by anyone else, including WhatsApp itself. This commitment to security reinforces our dedication to maintaining your privacy while you connect with others.