Hermes Agent Integrations

bb is an innovative, local-first IDE that allows for extensive customization while interacting with AI coding agents, enabling users to automate, control, and even enhance its functionalities. With just a single prompt, users can effortlessly modify nearly every aspect of the environment, including the addition of panels, CLI commands, skills, plugins, and workflows, which become instantly accessible to their agents. The platform’s various features, such as GitHub integration, agent memory, scheduled tasks, and remote access, are structured as plugins utilizing the same tools that users can employ. Furthermore, its command line interface supports integration with external applications, such as shell scripts, cron jobs, and messaging bots from Telegram, Signal, and Slack, which can initiate tasks that remain visible in the sidebar. bb accommodates several coding agents, like Claude Code, Codex, Cursor, Pi, OpenCode, Grok, omp, and Hermes, allowing users to delegate tasks to the most appropriate agent or enable one agent to create and oversee another in distinct threads. Additionally, all work is executed on the user's own device, providing the flexibility for tasks to persist and operate autonomously until the user decides to resume their interaction. This level of independence enhances productivity and allows for a seamless workflow experience.

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.

Tencent HY is a versatile and comprehensive family of large models developed in-house by Tencent, designed to deliver AI solutions tailored for enterprise needs across various domains such as content creation, business automation, and real-world agent functionalities. It encompasses multiple modalities, including language, imagery, 3D modeling, and translation, seamlessly integrating Tencent’s proprietary algorithms with advanced natural language processing and computer vision technologies to enable superior image generation, 3D content creation, and intelligent applications. Via Tencent Hunyuan AI Studio, users can engage with the model through intuitive human-computer dialogue, which allows the system to comprehend commands, perform tasks, assist users in information retrieval, generate content, and discover the model's extensive capabilities in a user-friendly environment. Additionally, Tencent HY facilitates API integration and customizable parameter configurations, enhancing accessibility and usability for developers, product teams, and enterprise-focused applications. This adaptability ensures that a wide range of users can leverage the power of Tencent HY in their projects, driving innovation and efficiency across industries.

The Meta Model API is an innovative developer interface designed for utilizing Muse Spark 1.1, Meta's advanced multimodal reasoning model tailored for agentic tasks such as coding, tool utilization, and comprehensive computer interactions. Currently available in public preview, this API enables developers to seamlessly integrate Muse Spark 1.1 via an OpenAI-compatible package, simplifying the transition for existing clients while maintaining the same code framework and allowing for easy configuration to the muse-spark-1.1 model. This model excels in personal agentic functions, facilitating planning and coordination across various external applications and services, while also adapting to new native tools, MCP servers, and bespoke skills. Functioning as a primary agent, it can collect contextual information, devise plans, and oversee execution across multiple subagents; conversely, as a subagent, it adheres to its designated role, comprehends available tools, and recognizes when to escalate issues. Additionally, the model is capable of managing a context window of 1 million tokens, allowing it to remember past actions, retrieve information from significantly earlier tasks, and effectively condense context for optimal performance. With these capabilities, the Meta Model API represents a significant advancement in the development of intelligent, responsive applications.

Hooksbase serves as a robust event infrastructure tailored for AI agents, facilitating the ingestion of events through four distinct channels: HTTP webhooks, email, hosted forms, and scheduled cron jobs. Each event is meticulously verified and stored, followed by routing, transformation, and delivery to five specific outbound destinations, including HTTP, AWS SQS, AWS EventBridge, GCP Pub/Sub, and S3-compatible storage. The system ensures reliable delivery through features such as retries with exponential backoff, strict FIFO ordering, a dead-letter queue, and deterministic replay from stored dispatch snapshots, empowering agents to recover any missed events. Additionally, five verified provider packs—Stripe, GitHub, Clerk, Slack, and Resend—are responsible for validating signatures upon ingestion, while the outbound signing process is compatible with Standard Webhooks and includes rotation overlap. Users can start for free with up to 5,000 deliveries per month and no credit card required; further options include Starter at $25, Pro at $79, and Business at $249, each providing additional features like transforms, FIFO, and increased volume capabilities. This structured approach not only enhances reliability but also offers flexibility and scalability for various user needs.

Ling 3.0 Flash represents an advanced language model optimized for long-term agent workflows, characterized by swift response times, minimal activation levels, and consistent tool usage. Incorporating a Mixture-of-Experts structure, it boasts a staggering 124 billion parameters in total, with 5.1 billion parameters activated per token, which enhances its capability while maintaining efficient inference. This model features an impressive native context window of 256K tokens, which can be expanded to accommodate up to 1 million tokens, ensuring effective retrieval of information from any part of lengthy contexts. When compared to its predecessor, the original Flash model, Ling 3.0 Flash significantly enhances stability for prolonged tasks, improves the accuracy of tool-calling, better adheres to instructions, and shows greater compatibility with agent harnesses and coding tasks. Additionally, its refined spatial awareness allows it to create grids of physical scenes and evaluate relative positions effectively, while its hybrid reasoning capabilities boost success rates across a range of task complexities. Overall, Ling 3.0 Flash exemplifies a significant leap forward in language modeling technology, ensuring users can achieve superior performance across diverse applications.

AgentSky is a comprehensive platform that offers agent-as-a-service solutions for deploying persistent, always-active AI agents in the cloud, eliminating the need for Mac minis, extensive setups, or any infrastructure management. Users are able to select an agent harness, such as Claude Code, Codex, Hermes, or OpenClaw, pair it with an appropriate model, enhance its capabilities, and initiate it effortlessly with a single click. These agents are accessible through various platforms including WhatsApp, iMessage, Telegram, Slack, Discord, web chat, the A2A protocol, and the CLI, ensuring consistent history, tools, and state across different communication channels. Additionally, local setups of Claude Code, Codex, or OpenClaw can be seamlessly transferred to the cloud, maintaining all instructions, model configurations, and MCP servers while avoiding the transfer of sensitive information like secrets, API keys, or session history. Every agent operates as a managed worker featuring a durable state, ongoing history tracking, snapshots, backups, restoration capabilities, and an isolated sandbox environment that starts up with only the tools that are attached, ensuring both security and efficiency. This innovative approach allows for greater flexibility and scalability in deploying AI solutions tailored to user needs.

Solar Pro 4 is an advanced AI model designed to effectively complete real-world tasks such as document analysis, tool execution, and deliverable production, ceasing operations when there is insufficient evidence. This model is specifically tailored for extensive and intricate workloads that span multiple documents, run commands in a terminal, and coordinate numerous tool interactions over several steps. With a remarkable 512K context window and the capacity for up to 128K output tokens, it enables the seamless incorporation of contracts, reports, and data files into a single workflow without the need for division. It can process both input and output in English, Korean, and Japanese, while users have the flexibility to adjust reasoning levels for either in-depth analysis or swift, real-time responses. Designed for precision, Solar Pro 4 maintains accuracy across lengthy documents, multi-turn tool applications, and terminal operations, ensuring that values and conclusions remain consistent throughout sequential deliverables, including Excel spreadsheets, comprehensive reports, and presentation slides. Moreover, its architecture supports collaborative projects by allowing teams to work simultaneously on various aspects of a task, enhancing overall productivity and efficiency.

Keenable operates as a standalone web search infrastructure tailored for AI laboratories, inference frameworks, agents, and developers seeking quick and reliable access to real-time web content. The Search API equips AI entities with an extensive index comprising over 100 billion documents, specifically designed for rapid retrieval with performance fine-tuned for demanding production agent tasks. Agents are enabled to search through web pages and obtain page content via a REST API, MCP server, or command-line interface, all under a single account and API key. Continuously striving for excellence, Keenable assesses and enhances search quality through its NEEDLE benchmark, which evaluates retrieval efficiency across various search providers and aligns results with an oracle ranking derived from aggregated outcomes. For expansive AI tasks, the platform offers dedicated search capacity alongside options for cloud and on-premises deployment. Additionally, its Time Machine feature enhances retrieval capabilities by allowing users to conduct searches across historical webpage versions, offering a comprehensive view of past content. This dual focus on current and historical data positions Keenable as a versatile tool for modern AI applications.

Qwen3.8-Flash-Next represents an open-weight multimodal Mixture-of-Experts architecture and serves as an initial glimpse into the design intended for Qwen4. This model strategically enhances attention mechanisms, residual pathways, embeddings, and optimization techniques to boost its capabilities, improve computational efficiency, expand model capacity, and ensure training stability. Its innovative hybrid architecture merges Gated DeltaNet, which adeptly compresses past information, with Qwen Sparse Attention, enabling the selection of significant context at a micro-block level to lessen both attention and indexing costs associated with lengthy sequences. The Gated Residual feature broadens the residual pathway into four streams, dynamically managing the flow of information across different layers. Additionally, the N-gram Embedding integrates large-scale local-pattern memory with minimal added computation per token, and it can be transferred to host memory for further efficiency. The model is structured around a 125B-parameter main network supplemented by 51B parameters dedicated to N-gram embeddings, activating only 6B parameters for each token processed. This sophisticated framework highlights the ongoing advancements in machine learning architectures, setting a promising stage for future developments.

SEAOTTER serves as a managed control plane specifically designed for the Hermes Agent on Google Cloud, providing isolated and consistently active agents without the need for VPS or SSH access. Users can easily create an agent via the dashboard, and within minutes, SEAOTTER sets up a dedicated namespace for each agent using a gVisor sandbox. The system allows for actions such as pausing, restarting, restoring, and reprovisioning through both API and user interface, all while offering integrated logs and metrics without the necessity of SSH access. Sensitive information is securely managed in a write-only section and stored within Google Secret Manager, with Hermes loading the secrets at startup, ensuring that users should refrain from sharing keys in chat. Upon signing up, users can connect using an organization-scoped so_ MCP key from Cursor, Claude, or Codex, while Hermes acts as the operational hub featuring various tools, memory management, and cron capabilities, all hosted in the us-central1 region. A trial period of seven days is available without requiring a credit card, allowing users to utilize one agent with limited resources (1 CPU / 4Gi / 8Gi). Following the trial, the cost for each always-on agent is $99 per month, with additional agents available for an extra $99 each, and custom solutions can be arranged through a consultation. This streamlined approach makes SEAOTTER an efficient choice for deploying agents in a managed cloud environment.

Step 5 Preview represents the pinnacle of StepFun’s offerings for agentic tasks, tailored specifically for real-world applications in both software engineering and professional knowledge domains, excelling particularly in financial contexts. The model is equipped to handle inputs of text, images, and videos while boasting a substantial 1M-token context window, which is ideal for tasks that necessitate extensive information, tool usage, and ongoing progress towards achieving specific deliverables. It possesses the ability to scrutinize lengthy documents, integrate various source materials, and utilize conversation histories for effective cross-document question answering and organizing research. In the realm of programming and software development, it is proficient in multiple programming languages and capable of assisting with debugging, code modifications, verification processes, and the generation of tests. Furthermore, its advanced multi-step agent functionalities empower applications to access tools for information retrieval, document processing, in-depth research, and the creation of analytical reports. Additionally, the model's multimodal comprehension allows for the synthesis of images, videos, and text, enabling tasks such as analyzing charts and answering questions based on screenshots. Ultimately, this comprehensive capability suite positions Step 5 Preview as an invaluable asset for professionals across various sectors.

Qwen3-Omni is a comprehensive multilingual omni-modal foundation model designed to handle text, images, audio, and video, providing real-time streaming responses in both textual and natural spoken formats. Utilizing a unique Thinker-Talker architecture along with a Mixture-of-Experts (MoE) framework, it employs early text-centric pretraining and mixed multimodal training, ensuring high-quality performance across all formats without compromising on text or image fidelity. This model is capable of supporting 119 different text languages, 19 languages for speech input, and 10 languages for speech output. Demonstrating exceptional capabilities, it achieves state-of-the-art performance across 36 benchmarks related to audio and audio-visual tasks, securing open-source SOTA on 32 benchmarks and overall SOTA on 22, thereby rivaling or equaling prominent closed-source models like Gemini-2.5 Pro and GPT-4o. To enhance efficiency and reduce latency in audio and video streaming, the Talker component leverages a multi-codebook strategy to predict discrete speech codecs, effectively replacing more cumbersome diffusion methods. Additionally, this innovative model stands out for its versatility and adaptability across a wide array of applications.

Veo 3.1 Fast represents a major leap forward in generative video technology, combining the creative intelligence of Veo 3.1 with faster generation times and expanded control. Available through the Gemini API, the model turns written prompts and still images into cinematic videos with synchronized sound and expressive storytelling. Developers can guide scene generation using up to three reference images, extend video length continuously with “Scene Extension,” and even create dynamic transitions between first and last frames. Its enhanced AI engine maintains character and visual consistency across sequences while improving adherence to user intent and narrative tone. Veo 3.1 Fast’s audio generation adds depth with natural voices and realistic soundscapes, enabling richer, more immersive outputs. Integration with Google AI Studio and Gemini Enterprise Agent Platform makes it simple to build, test, and deploy creative applications. Leading creative teams, such as Promise Studios and Latitude, are already using Veo 3.1 Fast for generative filmmaking and interactive storytelling. Offering the same price as Veo 3.0 but vastly improved capability, it sets a new benchmark for AI-driven video production.

Kling 2.6 is a next-generation AI video model built to merge sound and visuals into a single, seamless creative process. It eliminates the need for separate voiceovers, sound effects, and audio mixing by generating everything at once. Users can create complete videos from either text prompts or images with synchronized audio output. Kling 2.6 produces natural speech, ambient soundscapes, and action-based sound effects that match visual motion and pacing. The Native Audio system ensures emotional consistency between dialogue, background audio, and scene dynamics. Creators have control over who speaks, how they sound, and the overall mood of the video. The model supports narration, dialogue, music, and mixed sound effects. Kling 2.6 simplifies professional video creation for small teams and solo creators. Its intuitive workflow reduces technical complexity while maintaining creative flexibility. The result is faster production of immersive, shareable video content.

Kling 3.0 is a next-generation AI video creation model designed for producing highly realistic and cinematic video content. It transforms text and image prompts into visually rich scenes with smooth motion and accurate physics. The model excels at maintaining character consistency, ensuring natural expressions and stable identities across frames. Improved understanding of prompts allows for precise control over camera movement, transitions, and scene composition. Kling 3.0 supports higher resolution outputs suitable for professional use cases. Faster rendering capabilities help creators move from idea to finished video more efficiently. The system reduces the technical complexity traditionally associated with video production. It enables creative experimentation without the need for large production teams. Kling 3.0 is well suited for storytelling, advertising, and branded content creation. Overall, it delivers professional-grade results with minimal setup and effort.

xCloud.host is an innovative cloud hosting and server management solution aimed at making the hosting, deployment, and management of websites, particularly WordPress and PHP applications, accessible without requiring extensive technical expertise or DevOps skills. This platform merges a robust managed control panel with a global cloud infrastructure, enabling users to effortlessly launch, scale, and monitor their servers and sites through features such as one-click application deployment, optimized NGINX/OpenLiteSpeed configurations, staging environments, and both incremental and full backups. Additionally, it offers SSL provisioning, real-time performance and health monitoring, as well as automated security protocols including firewalls and Fail2Ban protection. Users have the flexibility to link their existing cloud provider accounts, such as DigitalOcean, Vultr, and GCP, or choose to utilize xCloud’s managed servers, which allows for centralized management of servers and sites. The platform also includes team access controls, database management tools, file managers, site cloning capabilities, Git repository deployment, and streamlined migration processes, making it a comprehensive solution for modern web hosting needs. Ultimately, xCloud.host is designed to empower users to focus on their content and growth without getting bogged down by technical complexities.

Seed2.0 Pro is a high-performance general-purpose AI model engineered for demanding enterprise and research environments. Built to manage long-chain reasoning and complex multi-step instructions, it ensures consistent and stable outputs across extended workflows. As the flagship model in the Seed 2.0 series, it introduces substantial enhancements in multimodal intelligence, combining language, vision, motion, and contextual understanding. The system achieves top-tier benchmark results in mathematics, coding, STEM reasoning, and multimodal evaluations, positioning it among leading industry models. Its advanced visual reasoning capabilities enable it to interpret images, reconstruct structured layouts, and generate fully functional interactive web interfaces from visual inputs. Beyond creative tasks, Seed2.0 Pro supports technical operations such as CAD design automation, scientific research problem-solving, and detailed data analysis. The model is optimized for real-world deployment, balancing inference depth with operational reliability. It performs strongly in long-context scenarios, maintaining coherence across extended documents and conversations. Additionally, its robust instruction-following capabilities allow it to execute highly specific professional commands with precision. Overall, Seed2.0 Pro combines research-level intelligence with production-grade performance for complex, high-value tasks.

GPT-5.4 Pro is a high-performance AI model introduced by OpenAI for users who require maximum capability when solving complex problems. It builds on earlier GPT models by integrating advanced reasoning, coding, and workflow automation into a single system. The model is designed to assist professionals with demanding tasks such as data analysis, financial modeling, document generation, and software development. GPT-5.4 Pro can interact directly with computers and applications, allowing AI agents to perform multi-step workflows across different tools and environments. Its extended context window supports up to one million tokens, enabling it to analyze large amounts of information while maintaining accuracy. The model also improves deep web research and long-form reasoning tasks. Developers benefit from improved tool usage and search capabilities that help agents select and operate external tools efficiently. GPT-5.4 Pro delivers stronger coding performance and faster iteration cycles for developers working on complex software projects. It also reduces token usage compared with earlier models, improving cost efficiency and speed. Overall, GPT-5.4 Pro is designed to support advanced professional workflows and AI-powered automation at scale.

Qwen3.6-Plus is a state-of-the-art AI model designed to support real-world agentic applications, advanced coding, and multimodal reasoning. Developed by the Qwen team under Alibaba Cloud, it offers a significant upgrade over previous versions with improved performance across coding, reasoning, and tool usage tasks. The model features a 1 million token context window, enabling it to handle long and complex workflows with high accuracy. It excels in agentic coding scenarios, including debugging, repository-level problem solving, and automated development tasks. Qwen3.6-Plus integrates reasoning, memory, and execution into a unified system, allowing it to operate as a highly capable autonomous agent. Its multimodal capabilities enable it to process and analyze text, images, videos, and documents for deeper insights. The model supports real-time tool usage and long-horizon planning, making it ideal for enterprise and developer use cases. It is accessible via API through Alibaba Cloud Model Studio and integrates with popular coding tools and assistants. Developers can leverage features like preserved reasoning context to improve performance in multi-step tasks. Overall, Qwen3.6-Plus empowers businesses and developers to build intelligent, scalable, and autonomous AI-driven applications.

Xiaomi MiMo-V2.5-Pro is a next-generation open-source AI model designed for advanced reasoning, coding, and long-horizon task execution. It uses a Mixture-of-Experts architecture with over one trillion parameters and a large active parameter set for efficient performance. The model supports an extended context window of up to one million tokens, allowing it to handle complex, multi-step workflows. It is built to perform autonomous tasks, including software development, system design, and engineering optimization. Benchmark results show strong performance across coding, reasoning, and agent-based evaluation tests. MiMo-V2.5-Pro incorporates hybrid attention mechanisms to improve efficiency while maintaining accuracy across long contexts. It is optimized for token efficiency, reducing the computational cost of running complex tasks. The model can integrate with development tools and frameworks to support real-world applications. It is designed to complete tasks that would typically require significant human effort over extended periods. Xiaomi has made the model open source, enabling developers to access and customize it. By combining performance, scalability, and efficiency, MiMo-V2.5-Pro pushes the boundaries of modern AI capabilities.

Xiaomi MiMo-V2.5 is a next-generation open-source AI model that combines agentic intelligence with multimodal capabilities. It is designed to process and understand text, images, and audio within a single architecture. The model uses a sparse Mixture-of-Experts framework with a large parameter count to deliver efficient and scalable performance. It supports a context window of up to one million tokens, allowing it to handle long and complex workflows. MiMo-V2.5 integrates visual and audio encoders to improve perception and cross-modal reasoning. It is capable of performing tasks such as coding, reasoning, and multimodal analysis with strong accuracy. Benchmark results show competitive performance compared to leading AI models in both agentic and multimodal tasks. The model is optimized for token efficiency, balancing performance with lower computational cost. It is designed for real-world applications that require both reasoning and perception. Xiaomi has open-sourced the model, making it accessible for developers and researchers. By combining multimodality, scalability, and efficiency, MiMo-V2.5 pushes forward the development of advanced AI systems.

Qwen3.7-Plus is an advanced multimodal agent model that seamlessly integrates vision and language into a single, adaptable foundation for intelligent agents. Expanding upon the agentic intelligence of Qwen3.7, it enhances its abilities to include visual comprehension, reasoning, grounded interactions, and the use of various multimodal tools, allowing agents to perceive, analyze, and operate within text, images, documents, screens, and intricate real-world scenarios. This model is specifically crafted for dynamic tasks that go beyond mere static question answering, facilitating activities such as visual searches, document understanding, chart and table evaluations, screen comprehension, GUI interactions, image-driven reasoning, and workflows where perception, planning, and action are interlinked. Qwen3.7-Plus fortifies the relationship between linguistic reasoning and visual cues, empowering users to inquire about images, decode complex multimodal information, extract organized data, and formulate responses that incorporate both contextual and visual elements, thus broadening the scope of interactive AI applications. With these enhancements, users can engage in more sophisticated and nuanced interactions with the system, making it a powerful tool for various practical applications.

Neteronhost is a hosting provider that offers shared hosting, VPS hosting, cloud hosting, WordPress hosting, and domain registration for businesses and individuals. The platform is designed to help users launch websites quickly with NVMe SSD storage, free SSL certificates, 24/7 support, and instant deployment. Neteronhost provides shared hosting for bloggers, small businesses, startups, and developers who need affordable website hosting with reliable performance. It also offers Windows VPS hosting with full RDP access, DDR5 RAM, NVMe SSD storage, dedicated resources, and fast provisioning for business applications and data-heavy workloads. Linux VPS plans include root access, dedicated CPU cores, unlimited bandwidth, NVMe SSD storage, automated backups, and scalable resources for agencies, developers, and resource-intensive projects. Security features include free SSL, hardware firewalls, DDoS mitigation, malware scanning, HTTPS encryption, and timely security patching. Performance features include a global CDN, redundant cloud infrastructure, automatic failover, load balancing, and resource isolation to help keep websites fast and available. Users can install WordPress, WooCommerce, Joomla, and hundreds of other apps through one-click installation tools. Neteronhost is built to give customers a fast, secure, and affordable hosting environment that can grow from basic shared hosting to powerful VPS infrastructure.

Ming-Flash Omni 2.0, developed by Ant Group, represents a comprehensive large language model that operates on a cohesive multimodal framework, emphasizing a philosophy of “modal unity + task unity.” This model, as a part of the Ming series, is engineered to facilitate an integrated understanding and generation of content across various modalities, including text, images, audio, and video, thus eliminating the need for multiple specialized models to perform distinct tasks such as seeing, hearing, speaking, and drawing. Progressing from its predecessors, Ming-Light Omni and Ming-Flash Omni Preview, this iteration advances from validating a unified architecture and scaling to hundreds of billions of parameters to implementing a Data Scaling approach that achieves state-of-the-art performance in open-source environments across numerous benchmarks. Notably, the model encompasses four essential capability modules: image-text comprehension, video interpretation, speech generation, and image creation or manipulation. To enhance image-text understanding, Ming employs structured knowledge graphs that contribute to a more nuanced visual perception. This innovative approach not only broadens the model's applicability but also sets a new standard in the field of artificial intelligence.

LongCat-2.0 represents a significant advancement in the realm of language models, featuring a staggering 1.6 trillion parameters through a Mixture-of-Experts architecture that leverages AI ASIC superpods, with approximately 48 billion parameters engaged per token, showcasing exceptional capabilities in coding and agentic tasks. This model marks a notable improvement over its predecessors by integrating a large-scale sparse architecture with specialized post-training methods tailored for tasks in real-world software development, tool utilization, long-context reasoning, and complex agent workflows. Entirely developed and executed on AI ASIC superpods, LongCat-2.0 underwent pretraining that encompassed over 35 trillion tokens and millions of accelerator hours, exemplifying cutting-edge training methodologies on innovative hardware solutions. To enhance its performance on tasks requiring long-term context, the model incorporates LongCat Sparse Attention and is trained using hundreds of billions of tokens from 1M-context datasets, enabling it to effectively manage ultra-long context tasks and ensure robust understanding of lengthy documents. This combination of features positions LongCat-2.0 as a pioneering force in the landscape of advanced language models.