Business Software for Hermes Agent

Oqoqo serves as a comprehensive platform for creating evaluations and tailored benchmarks for practical tasks requiring agency, enabling teams to conduct large-scale experiments in realistic settings utilizing fully managed cloud services. Users have the flexibility to establish private sets of tasks and criteria, evaluate agents on their ability to interact with various products such as skills, MCP servers, CLIs, SDKs, APIs, documentation, and files, while also facilitating the comparison of agents, models, interventions, and levels of effort under consistent conditions. Each individual task operates in its own separate environment, complete with the necessary project state, context, files, tools, and credentials. Oqoqo meticulously records every aspect of each run, documenting commands, tool interactions, errors, files, and the point at which an agent ceased functioning, ultimately providing metrics such as pass or fail results, pass rates, improvements, token utilization, and areas of friction. With these valuable insights, teams are empowered to pinpoint issues within product interfaces, address token inefficiencies, analyze performance variances, rectify failures, and subsequently re-execute the experiments for further refinement and learning. This iterative process fosters a culture of continuous improvement, ensuring that agents are consistently enhanced for optimal performance.

Nativ is an entirely open-source application designed for macOS, enabling users to execute OpenAI models locally on Apple Silicon, thereby bringing cutting-edge intelligence directly to your workspace without the need for accounts or cloud infrastructure. It features an intuitive chat interface that facilitates streaming responses, supports Markdown and code highlighting, accepts image inputs, and offers performance metrics for each message, all while ensuring that responses are generated locally on the device. The app includes a curated library of models from various teams, such as Google, Cohere, and Liquid AI, and it intelligently suggests models that align with the specifications of your Mac hardware. Built on the MLX-VLM architecture and optimized for M-series unified memory and Metal, Nativ operates models seamlessly without the need for wrappers or translation layers. Users benefit from live telemetry that provides insights into tokens processed per second, memory usage, thermal conditions, and the time taken to generate the first token, giving a clear view of the inference process. Furthermore, Nativ accommodates diverse workflows, including language processing, vision tasks, video analysis, code assistance, and audio manipulation, allowing users to engage in activities like conversing with LLMs, generating image captions, summarizing video content, auto-completing code snippets, transcribing audio files, and producing speech outputs. This versatility makes Nativ an invaluable tool for developers and creators looking to harness local AI capabilities.

AdKit serves as a comprehensive advertising toolkit tailored for marketers and AI agents, integrating competitor analysis, ad development, campaign management, and performance evaluation into a seamless workflow. With access to an extensive library featuring over 500,000 advertisements, users can effortlessly import and monitor competitors across major platforms like Meta, Google, and LinkedIn, pinpoint enduring evergreen creatives, track which experiments competitors have discontinued, and receive timely updates on their activities. Additionally, the AI Ads Generator and Cloner allows for the creation of static ads from a brand kit, mimics the successful formats of competitor ads, crafts fresh variations, and modifies creatives through AI capabilities. AdKit also enhances connectivity with its Ads MCP and CLI tools, enabling AI agents such as Claude, ChatGPT, Codex, Cursor, Gemini CLI, OpenClaw, and others to interface directly with advertising accounts on platforms like Meta, Google, TikTok, Reddit, LinkedIn, X, and Microsoft Ads. These agents can conduct thorough campaign research, identify effective keywords, evaluate account performance, suggest strategies for discontinuation, scaling, or testing, and facilitate the upload of creative assets, ensuring that users have all the tools necessary for effective advertising management. This holistic approach empowers marketers to make more informed decisions and optimize their advertising efforts across multiple channels.

HOL Guard is a security layer designed for AI agents that operates on a local-first basis, monitoring the actions of an AI assistant and preemptively preventing potentially harmful activities. It functions as an intermediary between the agent and the computer, assessing tool calls and local resources for various threats, including the risk of secret and credential leaks, harmful commands, actions driven by prompt injection, and the use of compromised or altered packages, as well as risky configurations and unsafe plugins, skills, hooks, and settings. Threats that are identified can be automatically blocked, while uncertain actions are temporarily halted to seek user consent, ensuring that individuals maintain oversight. Operating entirely on the developer’s local machine, Guard does not require an internet connection and refrains from uploading any files, prompts, or sensitive information. Local evaluations are typically completed in less than 50 milliseconds, and the implementation of Guard does not necessitate modifications to current code or workflows. It is compatible with various coding agents including Claude Code, Cursor, Codex, Gemini CLI, OpenCode, Hermes, and OpenClaw, providing custom integrations that analyze actions prior to their execution. Additionally, this enhances the overall safety and reliability of AI interactions, fostering greater trust in automated processes.

Showly is a platform designed for hosting websites generated by AI agents, providing a sleek environment for users to preview, publish, share, and manage their creations. Users can articulate their desired project to their coding agent—whether it’s a report, research page, presentation, documentation site, portfolio, landing page, prototype, or product specification—and the agent will generate the corresponding page while Showly takes care of the hosting and publication process. The platform integrates seamlessly with various agents like Claude Code, Codex, Cursor, OpenClaw, and Hermes Agent, enabling users to publish their work without disrupting their existing workflows. Changes are first displayed as private previews, allowing users to assess the page, request modifications, and choose the moment of publication. Once live, the work generates a stable, shareable web link, and the version history feature allows for easy restoration of previous versions if necessary. Additionally, Showly has the capability to transform existing outputs into live web pages by simply accepting the provided content. This makes it an invaluable tool for anyone looking to streamline their digital publishing process.

MiMo-V2.6-Pro-UltraSpeed is Xiaomi MiMo’s accelerated serving option for MiMo-V2.6-Pro, built for applications that require very high output speed without changing the underlying model quality. Xiaomi states that UltraSpeed can generate output at up to 20 times the speed of the standard MiMo-V2.6-Pro configuration. The model retains MiMo-V2.6-Pro’s natively omnimodal capabilities across coding, agentic workflows, visual reasoning, computer use, and research. Developers can use it for long-horizon software engineering, automation, debugging, tool-driven tasks, and other workloads that benefit from rapid model responses. Its multimodal abilities also support frontend generation, presentation creation, 3D modeling, interactive environments, and visual feedback loops. The broader MiMo-V2.6 architecture combines coding capabilities with 3D spatial reasoning, multimodal perception, and computer-use agent functionality. Xiaomi positions UltraSpeed for real-time interaction and other workflows where response latency is especially important. The accelerated model is offered through MiMo Desktop and can also be called through the Xiaomi MiMo API Platform. MiMo-V2.6-Pro-UltraSpeed is intended for developers and organizations that prioritize maximum generation speed while retaining the capabilities of Xiaomi’s higher-end MiMo-V2.6-Pro model.

Holo4 is H Company's series of generalist computer-use and agentic AI models built to perform multi-step work across software interfaces. It is available as Holo4 27B, a dense 27-billion-parameter model, and Holo4 35B-A3B, a Mixture-of-Experts model containing 35 billion total parameters with 3 billion active. Holo4 can interact with applications by clicking and typing through graphical interfaces, writing and executing code, or calling MCP and API tools. The same model can operate across desktops, websites, Android devices, code sandboxes, and business APIs without requiring developers to select a separate specialized model for each environment. H Company trained Holo4 using 127 billion supervised fine-tuning tokens, with approximately three-quarters consisting of successful agentic trajectories spanning desktop, web, MCP/API, and mobile tasks. Reinforcement learning then trained separate experts for desktop and web interaction and for terminal, MCP, and API work before merging them into a single model. Holo4 27B scored 85.2% on OSWorld, 61.7% on OSWorld 2.0, 45.4% on AutomationBench, and 85.1% on AndroidWorld in the evaluations reported by H Company. The models support a 256K context window, with the 27B model positioned for greater accuracy on long multi-step tasks and the 35B-A3B version positioned as a faster and less expensive alternative. Holo4 is available through a hosted API and downloadable model weights, enabling developers and enterprises to build agents that perform workflows spanning multiple applications and interaction methods.

We developed a containerization platform entirely in Rust, aiming to achieve the quickest cold-start times possible. It allows you to scale seamlessly from hundreds of GPUs down to zero within seconds, ensuring that you only pay for the resources you utilize. You can deploy functions to the cloud in mere seconds while accommodating custom container images and specific hardware needs. Forget about writing YAML; our system simplifies the process. Startups and researchers in academia are eligible for free compute credits up to $25,000 on Modal, which can be applied to GPU compute and access to sought-after GPU types. Modal continuously monitors CPU utilization based on the number of fractional physical cores, with each physical core corresponding to two vCPUs. Memory usage is also tracked in real-time. For both CPU and memory, you are billed only for the actual resources consumed, without any extra charges. This innovative approach not only streamlines deployment but also optimizes costs for users.

The official launch of the Seedance 1.0 API makes ByteDance’s industry-leading video generation technology accessible to creators worldwide. Recently ranked #1 globally in the Artificial Analysis benchmark for both T2V and I2V tasks, Seedance is recognized for its cinematic realism, smooth motion, and advanced multi-shot storytelling capabilities. Unlike single-scene models, it maintains subject identity, atmosphere, and style across multiple shots, enabling narrative video production at scale. Users benefit from precise instruction following, diverse stylistic expression, and studio-grade 1080p video output in just seconds. Pricing is transparent and cost-effective, with 2 million free tokens to start and affordable tiers at $1.8–$2.5 per million tokens, depending on whether you use the Lite or Pro model. For a 5-second 1080p video, the cost is under a dollar, making high-quality AI content creation both accessible and scalable. Beyond affordability, Seedance is optimized for high concurrency, meaning developers and teams can generate large volumes of videos simultaneously without performance loss. Designed for film production, marketing campaigns, storytelling, and product pitches, the Seedance API empowers businesses and individuals to scale their creativity with enterprise-grade tools.

Kling O1 serves as a generative AI platform that converts text, images, and videos into high-quality video content, effectively merging video generation with editing capabilities into a cohesive workflow. It accommodates various input types, including text-to-video, image-to-video, and video editing, and features an array of models, prominently the “Video O1 / Kling O1,” which empowers users to create, remix, or modify clips utilizing natural language prompts. The advanced model facilitates actions such as object removal throughout an entire clip without the need for manual masking or painstaking frame-by-frame adjustments, alongside restyling and the effortless amalgamation of different media forms (text, image, and video) for versatile creative projects. Kling AI prioritizes smooth motion, authentic lighting, cinematic-quality visuals, and precise adherence to user prompts, ensuring that actions, camera movements, and scene transitions closely align with user specifications. This combination of features allows creators to explore new dimensions of storytelling and visual expression, making the platform a valuable tool for both professionals and hobbyists in the digital content landscape.

Seedance 1.5 Pro, an advanced AI model for audio and video generation, has been created by the Seed research team at ByteDance to produce synchronized video and sound seamlessly from text prompts alongside image or visual inputs, which removes the conventional approach of generating visuals before adding audio. This innovative model is designed for joint audio-visual generation, achieving precise lip-sync and motion alignment while offering support for multilingual audio and spatial sound effects that enhance the storytelling experience. Furthermore, it ensures visual consistency and maintains cinematic motion throughout multi-shot sequences, accommodating camera movements and narrative continuity. The system can generate short clips, typically ranging from 4 to 12 seconds, in resolutions up to 1080p and features expressive motion, stable aesthetics, and options for controlling the first and last frames. It caters to both text-to-video and image-to-video workflows, enabling creators to animate still images or construct complete cinematic sequences that flow coherently, thus expanding creative possibilities in audiovisual production. Ultimately, Seedance 1.5 Pro stands as a transformative tool for content creators aiming to elevate their storytelling capabilities.

Agent 37 is an innovative platform that enables users to create, launch, and profit from autonomous AI “skills” or assistants without needing to engage with infrastructure or intricate technical processes. This platform offers a hosted environment where users can input their knowledge, workflows, or tools, transforming them into operational AI agents capable of performing real-world tasks such as making API calls, browsing the web, executing code, processing files, and automating various operations, rather than merely producing text outputs. It accommodates several prominent AI models, including Claude, GPT, and Gemini, while providing over 1,000 integrations to facilitate smooth connections with external applications and services. Additionally, Agent 37 is equipped with essential features like hosting, authentication, analytics, and monetization, empowering creators to share their agents through easy-to-use links, embed them on their websites, and monetize their offerings via integrated payment systems. With its user-friendly interface and robust capabilities, Agent 37 stands out as a versatile solution for those looking to harness the power of AI without diving into the complexities of coding or infrastructure management.

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

Reaudit serves as the platform for AI Agent Visibility, GEO, and revenue attribution, tailored for an era dominated by AI agents that identify brands ahead of human users. When consumers utilize ChatGPT, Claude, Perplexity, Gemini, or Copilot for product searches or comparisons, Reaudit ensures that your brand is prominently featured and referenced. It enables tracking of brand mentions, sentiment analysis, citations, and competitor strategies across 11 different AI platforms, including the often overlooked "fanout" queries executed internally by ChatGPT. Furthermore, it allows the creation of GEO-optimized content, such as blogs, FAQs, and videos, in over ten languages, which can be seamlessly published to various content management systems and social media platforms. Additionally, Reaudit integrates Revenue Attribution, connecting AI bot interactions and referrals to tangible revenue generated through Stripe, leveraging GA4, Cloudflare, and first-party tracking methods. Designed to be compatible with the MCP ecosystem, our server incorporates 162 tools, empowering Claude, ChatGPT, Cursor, and other AI agents to manage your complete marketing operations through intuitive natural language commands. Ultimately, Reaudit positions itself as the essential operating system for enhancing brand visibility in this new agent-driven landscape, ensuring that your brand remains at the forefront of consumer awareness.

Hermes Desktop is a multi-platform AI agent solution designed to help users manage tasks, automate workflows, and interact with AI across a wide range of communication channels. The platform allows a single AI agent to operate seamlessly through messaging applications, email systems, command-line interfaces, and other connected services while maintaining a shared memory and contextual understanding. Persistent memory capabilities enable the agent to remember previous conversations, project details, and successful solutions, creating a more personalized and effective user experience over time. Users can automate recurring activities such as reports, backups, briefings, and scheduled workflows using natural-language instructions. The platform includes advanced features for web browsing, browser automation, image generation, text-to-speech, vision capabilities, and multi-model AI reasoning. Hermes Desktop also supports subagents that can operate independently with their own conversations, environments, terminals, and automation pipelines. Flexible sandboxing options provide secure execution environments through local systems, Docker containers, SSH connections, Singularity, and cloud-based infrastructure. As an open-source solution released under the MIT License, Hermes Desktop gives users significant flexibility, transparency, and control over their AI-powered workflows.

Nous Portal is an AI subscription and infrastructure platform developed by Nous Research to simplify access to large language models, AI tools, and agent workflows. The platform serves as a centralized gateway that allows users to access hundreds of frontier and open-source AI models through a single login, reducing the complexity of managing multiple providers, API keys, and billing relationships. Built to integrate seamlessly with Hermes Agent, Nous Portal provides hosted tool usage, web search capabilities, image generation, browser automation, code execution, and other AI-powered services that can be incorporated into automated workflows. Subscription plans include monthly credits, expanded rate limits, and access to a growing ecosystem of AI models and productivity tools. The platform is designed for developers, researchers, technical professionals, and organizations seeking a streamlined way to build, deploy, and manage AI-driven applications and autonomous agent systems.

Paperclip is a self-hosted agent management platform designed to help users organize and operate AI agents as structured teams rather than standalone assistants. The platform provides organizational hierarchies, role-based agent assignments, ticket management, budget controls, and governance mechanisms that enable multiple agents to collaborate on business goals. Supporting a wide range of AI providers and agent frameworks, Paperclip allows organizations to build customized AI workforces for tasks such as software development, marketing, quality assurance, research, outreach, and operations. Its open-source architecture and extensible design give teams complete ownership of their infrastructure while ensuring visibility into every decision, action, and resource consumed by AI agents.

MaxHermes serves as MiniMax’s AI assistant hosted in the cloud, leveraging the Hermes Agent and powered by MiniMax M2.7, and it is designed to adapt and evolve alongside its user. By eliminating the technical challenges associated with self-hosted solutions, it allows users to easily initiate a personalized AI agent online without the need for server configurations, Docker setups, API keys, or local environments. Available around the clock, MaxHermes can be activated in roughly 10 seconds and operates continuously in the cloud, making it ideal for tasks that require extended durations, regular monitoring, recurring workflows, and real-time support via common chat applications. One of its standout features is its capacity for self-evolution: upon finishing intricate tasks, MaxHermes can recognize patterns that can be reused, distilling them into new abilities that enhance future interactions and align more closely with the user’s routines, projects, and workflows over time. Each time it accomplishes a complex task, it has the potential to unlock a new skill, transforming its work history into procedural memory rather than simply disposable chat records. In this way, MaxHermes not only assists users but also learns and grows, becoming an increasingly integral part of their daily lives.

Virtarix offers Virtual Private Server (VPS) hosting and cloud server solutions designed to provide users with real control from the outset, ensuring consistent performance, root access, and freedom from contract obligations. Their cloud VPS hosting features high-speed NVMe performance, the ability to scale resources instantly, and reliable infrastructure suitable for developers, businesses, and expanding projects that require a solid foundation unlike that of conventional hosting options. Users can deploy servers in less than five minutes by selecting a plan and operating system, triggering automatic provisioning of the VPS, allocation of both IPv4 and IPv6 addresses, and delivery of login credentials. With full root access, users can SSH into their servers right away, allowing them to install any necessary software stack, configure services without limitations, and build their projects without the constraints of cPanel or delays from support tickets. Furthermore, Virtarix supports a wide range of popular runtimes, frameworks, databases, and infrastructure tools, catering to the diverse needs of its clientele. This flexibility makes Virtarix a compelling choice for those seeking a powerful and adaptable hosting solution.

LumaDock provides quick and dependable virtual server hosting, featuring high-performance VPS, GPU, and dedicated server choices tailored for developers, businesses, and gamers alike. Engineered for optimal speed, the infrastructure utilizes AMD EPYC processors alongside NVMe storage, ensuring that VPS hosting comes with integrated security and is user-friendly, ready to go in seconds, and capable of scaling to meet the demands of expanding projects. Clients can effortlessly deploy servers from various data center locations across Europe, the United Kingdom, and the United States, with options in cities such as London, Frankfurt, New York, Amsterdam, Paris, Madrid, Helsinki, Warsaw, and Bucharest. The diverse server offerings from LumaDock include entry-level VPS, AMD Ryzen VDS, GPU VPS, dedicated servers, and storage VPS, assisting users in selecting the ideal environment for their specific workloads. The platform boasts features such as instant deployment, complete root access, KVM virtualization, a high-speed 1 Gbps network, scalable resources, and one-click templates for various systems including n8n, Docker, Linux, and Windows, allowing for seamless setup and operation. This versatility ensures that users have the tools they need to effectively manage their hosting requirements as they grow.

Virtua.Cloud is a European cloud service designed specifically for developers, enabling a swift transition from concept to operational server in mere seconds, all governed by your own rules. Users have the flexibility to select their preferred operating systems, such as Linux, Windows, or FreeBSD, and can easily set up a VPS tailored for various applications, including AI agents, web applications, APIs, databases, Docker containers, remote desktops, .NET tools, ZFS, Jails, and self-hosted solutions. With Linux VPS options featuring over 10 different distributions, complete root access, rapid deployment, and high-speed SSD or NVMe storage, users benefit from a streamlined experience that includes one-click OS reinstalls, package managers, and Docker-compatible environments, alongside support for Git, Node.js, Python, Go, Rust, and comprehensive system control through systemd or init. Each server is designed for maximum user control, equipped with management features like VNC console access, firewalls, snapshots, reverse DNS capabilities, custom ISOs, and post-install scripts, all easily accessible from the control panel. Additionally, users can adjust their resource allocations seamlessly without risking data loss, as the process requires only a simple restart instead of a complete reinstall. This level of flexibility and control makes Virtua.Cloud an ideal choice for developers seeking robust cloud solutions.

QuantVPS offers advanced Windows Trading VPS services tailored specifically for automated futures trading, ensuring that traders benefit from the speed, stability, and dependability essential for reliable trade execution. The company's infrastructure is strategically located in Chicago to enhance trading performance, featuring ultra-low latency connections to the CME and optimized pathways to key financial markets like NASDAQ and NYSE. By utilizing QuantVPS, traders can avoid the pitfalls of using a personal computer, home internet, or Wi-Fi—each of which may experience interruptions, slowdowns, or disconnections that lead to trade slippage. Instead, QuantVPS guarantees that trading platforms and bots operate continuously on top-tier infrastructure, providing a seamless trading experience around the clock. Servers are set up instantly, and login credentials are sent via email, allowing traders to connect swiftly and start their preferred futures trading platform with assurance. Furthermore, QuantVPS is compatible with leading trading platforms such as NinjaTrader, Sierra Chart, TradeStation, Quantower, Tradovate, MetaTrader 4/5, and MultiCharts, among others, making it a versatile choice for various trading strategies. This extensive support for popular platforms ensures that traders have the flexibility to select the tools that best fit their trading style and needs.

Ling 2.6 represents an independently developed and open-source series of large language models created by Ant Group, utilizing a Mixture of Experts (MoE) architecture to enhance inference efficiency, long context modeling, training methodologies, and collaborative reasoning for AI agents. By employing this MoE architecture, Ling effectively directs each token to engage only the most pertinent expert subnetworks, significantly reducing the computational load while preserving the extensive capabilities of the model. This series makes strides in long-sequence modeling, exemplified by Ling-2.6-1T, which accommodates a native context window of up to 1 million tokens and offers a 256K context window through its official API; additionally, Ling-2.6-flash features a native 256K context window, enabling it to handle around 200,000 characters in lengthy inputs. These models are meticulously crafted to ensure dependable retrieval of long-range information without any discernible loss of quality, regardless of whether the data is located at the start, middle, or end of the context. This innovative approach to long-context processing sets a new benchmark for efficiency and reliability in language model performance.

The Ling 2.6 Flash represents the newest and most economical addition to the Ling series, utilizing a Mixture of Experts architecture that encompasses a total of 104 billion parameters, with 7.4 billion of those being actively engaged. This model is crafted to strike an ideal balance between inference speed and computational expense, making it an excellent fit for diverse scenarios where reasoning prowess, high throughput, and effective deployment are essential. By employing its MoE structure, Ling ensures that each token activates only the most pertinent expert subnetworks, significantly reducing the actual computational load while preserving the expansive capacity of the model. Offering a native context window of 256K, Ling 2.6 Flash is capable of handling around 200,000 characters of lengthy input, adeptly retrieving critical long-range information regardless of its position in the context. Furthermore, its overall benchmark performance rivals or surpasses that of 40 billion parameter Dense models, highlighting its competitive edge in the field of AI. This blend of efficiency and performance makes Ling 2.6 Flash a noteworthy option for developers seeking advanced capabilities without excessive resource demands.

Ring is a sophisticated trillion-parameter thinking model created by Ant Group, specifically tailored for real-world Agent workflows. It employs a Mixture of Experts architecture similar to that of Ling, activating approximately 63 billion parameters during each inference, and is particularly geared towards tasks such as coding agents, utilizing tools, collaborating with multiple tools, engineering development, conducting research analysis, and executing long-term tasks. Instead of merely striving for "smarter" outcomes, Ring prioritizes the reliable completion of intricate tasks while maintaining a cost-effective approach, effectively balancing quality, speed, and efficiency in production settings. The latest iteration, Ring-2.6-1T, incorporates an adjustable Reasoning Effort mechanism that features high and xhigh reasoning intensity levels, which allocates an adaptive reasoning budget according to the complexity of the task at hand. The high mode is specifically optimized for high-frequency Agent workflows, resulting in lower token costs and quicker multi-step execution, while also facilitating multi-turn interactions, tool collaboration, and task decomposition. As a result, Ring demonstrates a significant advancement in enhancing the capabilities of agents in various operational contexts.