Top DS Bot Alternatives

OpenAI Dots are always-on AI agents built to manage ongoing responsibilities and continue working on projects when the user is focused elsewhere. Powered by GPT-6 Astra, dots can proactively identify next steps, perform tasks, monitor developments, and return completed work or decisions requiring human judgment. Each dot can start with context from the user's ChatGPT memory and use Codex, connected tools, and its own cloud computer to perform work. Users decide which applications a dot can access, what responsibilities it should prioritize, and how tasks should be completed. A dot can be assigned an entire project or a smaller workflow and continue making progress between individual ChatGPT conversations. Example use cases include tracking product and revenue metrics while maintaining investor presentations, evaluating customer requirements for sales opportunities, managing API migrations, implementing software improvements based on customer feedback, and preparing content from transcripts. Dots can monitor new information as it arrives and update related work, allowing projects to remain current without requiring users to repeatedly restart the process. Users can inspect what their dot is doing, review details, provide feedback, redirect its work, or pause it whenever needed. Dots operate on independent cloud computers and support configurable permissions and Custom Rules that can allow actions, require approval, or block specific activities. Actions that could affect accounts or share information can go through Auto-review, which checks the proposed action against user instructions, Custom Rules, and safety requirements, while certain sensitive actions remain reserved for the user. Dots can be accessed through ChatGPT on web, mobile, and desktop, with availability across eligible Pro, Business Premium, and Enterprise plans and administrative enablement available for Enterprise environments.

Grok Bot is an AI teammate platform from SpaceXSI that helps users delegate operational work to bots that can act across apps, websites, tools, and routines. Instead of functioning only as a chat assistant, Grok Bot is designed to take real projects from start to finish and come back when user approval is needed. Bots can sign in to tools, use software like a person would, and work across desktop, mobile, and a persistent cloud computer. Users can create different bots for different responsibilities, such as sales outbound, talent scouting, paid media, expense management, product performance, bug reproduction, account health, and chief-of-staff tasks. A sales outbound bot, for example, can research accounts, score contacts using signals, draft emails and LinkedIn messages in the user’s voice, and hold messages for approval before sending. Grok Bot can learn workflows by watching a user complete a task once, then saving the process as a routine that can run again later. Bots can also work in parallel, collaborate in shared threads, and pass tasks between each other when a workflow requires more than one role. The platform supports scheduled routines so bots can continue working 24/7 across repeatable processes. Each user’s bots share one persistent cloud computer with shared files, browser sessions, and logins, allowing context to carry across work. Grok Bot is available across macOS, Windows, iOS, Linux, and other supported environments, with pricing options that include Cursor Ultra and Cursor Premium Teams. By combining agentic execution, tool access, persistent context, workflow learning, scheduled routines, multi-bot collaboration, and human approval, Grok Bot helps individuals and teams automate meaningful work across their stack.

OpenClaw is a powerful open-source AI assistant that functions independently on your computer, server, or VPS, going beyond mere text generation to perform real-world tasks in response to your natural language commands through widely-used messaging platforms like WhatsApp, Telegram, Discord, and Slack. By tapping into various external large language models and services, it prioritizes local processing and data security, allowing the assistant to proficiently handle your inbox, send emails, manage your calendar, check you in for flights, interact with files, execute scripts, and optimize daily workflows without depending on predetermined triggers or cloud-based systems. Designed to have a persistent memory, OpenClaw can retain context across multiple sessions and operate continuously, thus taking the initiative in task and reminder management. Furthermore, it enables seamless integrations with messaging applications and supports community-created "skills," providing users with the flexibility to expand its capabilities and oversee various agents or tools within distinct workspaces. This makes OpenClaw not only a versatile tool for personal productivity but also a customizable platform that adapts to individual needs and preferences. Ultimately, its ability to learn and evolve with user interactions enhances the overall experience, ensuring that it remains relevant and highly effective in managing tasks.

Hermes Agent by Nous Research is a powerful open-source autonomous AI agent designed to operate locally and evolve continuously based on user interactions and workflows. It differs from traditional AI assistants by maintaining persistent memory, allowing it to learn from past tasks and improve its capabilities over time. Running directly on a user’s server, Hermes provides full control over data and customization without reliance on centralized systems. The agent integrates seamlessly with multiple platforms such as Slack, Discord, Telegram, and WhatsApp through a unified messaging gateway. It supports advanced automation through natural language scheduling, enabling users to automate recurring tasks like reporting, backups, and briefings. Hermes can delegate tasks to isolated subagents, allowing parallel processing and efficient handling of complex workflows. It includes robust sandboxing options across environments like Docker, SSH, and local systems, ensuring secure execution of tasks. The platform also offers full web and browser control, including search, automation, and multimedia capabilities. Users can configure Hermes to work with various AI models or endpoints, providing flexibility and scalability. Its command-line interface enables deep customization and direct interaction with tools and processes. Hermes continuously updates and expands its capabilities through ongoing development and user feedback. Overall, Hermes Agent provides a highly adaptable, secure, and intelligent system for automation, development, and AI-driven workflows.

Wukong is a sophisticated AI work platform provided by DingTalk, designed to elevate AI functionality beyond simply answering questions to actively performing tasks. Users can clearly communicate their needs, and Wukong effectively employs a variety of tools, applies skills, and drives tasks toward successful completion. Unlike a conventional chat assistant, it acts as a proactive partner that can interact directly with DingTalk features, such as managing documents, calendars, and approvals, turning natural language requests into concrete results. Its smooth integration within the DingTalk ecosystem guarantees that work is consistently synchronized across smartphones, tablets, and computers, allowing users to start conversations and monitor progress, whether they are in the office or away. Furthermore, a detailed Skills Center provides access to pre-existing tools for diverse tasks including document management, data analysis, and presentation creation, while users also have the ability to upload their personalized skills, customizing the assistant for unique procedural needs. This advanced degree of customization not only enhances individual effectiveness but also significantly boosts team productivity, making Wukong an essential asset in modern work environments. Overall, Wukong represents a transformative approach to integrating AI into daily workflows, ensuring that users can adapt quickly to changing demands.

Tobs functions as an open-source AI agent plugin for DeepSeek Harness, empowering users to create persistent PersonaBots with distinct roles and the ability to retain conversation histories. These bots are equipped with an inspectable file-based memory that includes a Git version history, enabling smooth operation in both individual and group chat settings. They can also manage background tasks, schedule appointments, and integrate with various platforms such as Slack, Discord, Lark/Feishu, QQ, and personal WeChat. Users can configure a model provider and their credentials directly within DeepSeek Harness, with Tobs being compatible with Windows, macOS, or Linux systems under their control. Additionally, beta companion applications for iOS and Android facilitate remote chatting, notifications, and approval processes. To enhance functionality, optional browser and desktop control tools can be restricted based on permissions. Common uses of Tobs encompass conducting research, writing, coding, delegating tasks, and setting reminders. This tool is particularly beneficial for individuals looking for customizable agents that retain context throughout different conversations and can engage with approved files and messaging platforms, offering a more interactive experience than a completely managed hosted agent service. Furthermore, the adaptability in bot configuration enables users to personalize their interactions to align with specific requirements and preferences, thus maximizing the utility of the PersonaBots in various scenarios.

DeepSeek-R1 represents a state-of-the-art open-source reasoning model developed by DeepSeek, designed to rival OpenAI's Model o1. Accessible through web, app, and API platforms, it demonstrates exceptional skills in intricate tasks such as mathematics and programming, achieving notable success on exams like the American Invitational Mathematics Examination (AIME) and MATH. This model employs a mixture of experts (MoE) architecture, featuring an astonishing 671 billion parameters, of which 37 billion are activated for every token, enabling both efficient and accurate reasoning capabilities. As part of DeepSeek's commitment to advancing artificial general intelligence (AGI), this model highlights the significance of open-source innovation in the realm of AI. Additionally, its sophisticated features have the potential to transform our methodologies in tackling complex challenges across a variety of fields, paving the way for novel solutions and advancements. The influence of DeepSeek-R1 may lead to a new era in how we understand and utilize AI for problem-solving.

PicoClaw is an ultra-efficient AI assistant framework written in Go, purpose-built to operate on minimal hardware while maintaining strong performance. It requires less than 10MB of RAM and can start in under a second, enabling deployment on affordable single-board computers and embedded Linux devices. By dramatically reducing hardware requirements compared to traditional AI assistants, PicoClaw lowers both operational cost and energy consumption. The system was rebuilt through a self-bootstrapping methodology in which the AI agent played a major role in generating and refining its own architecture. Distributed as a single portable binary, it runs across RISC-V, ARM, and x86 systems without complex dependencies. Installation options include precompiled releases, manual builds from source, and Docker Compose deployments for containerized workflows. PicoClaw integrates with messaging platforms such as Telegram, Discord, QQ, DingTalk, and LINE, enabling conversational control from widely used apps. Its internal workspace structure organizes sessions, long-term memory, scheduled cron jobs, agent identity files, and customizable skills. A sandboxed security model restricts file access and command execution to prevent unsafe system operations. Even when advanced tools like command execution are enabled, built-in safeguards block destructive patterns such as disk formatting or mass deletion. The assistant supports heartbeat-driven periodic automation, asynchronous subagents through spawn functionality, and scheduled reminders using cron expressions. With multi-provider LLM support, optional web search integration, and lightweight deployment flexibility, PicoClaw provides a scalable foundation for building low-footprint AI agents across diverse environments.

Tencent Yuanbao has emerged as a rapidly popular AI assistant in China, leveraging advanced large language models, notably its proprietary Hunyuan model, in conjunction with DeepSeek. This platform excels in diverse areas, including Chinese language processing, logical reasoning, and efficient task execution. Recently, Yuanbao has witnessed remarkable growth in its user base, surpassing competitors like DeepSeek to claim the top spot on the Apple App Store download rankings in China. A key driver of its success is the seamless integration within the Tencent ecosystem, particularly via WeChat, which enhances its accessibility and broadens its feature set. This notable rise highlights Tencent's growing ambition to establish a substantial foothold in the AI assistant market, as it continues to innovate and broaden its offerings. As Yuanbao advances, it is poised to increasingly challenge established market players, potentially reshaping the competitive dynamics of AI technologies in the region. The continuous evolution of this platform indicates that its impact on the industry could be profound in the coming years.

QwenWork stands out as a multifunctional AI agent platform designed to boost productivity for individuals and organizations alike, leveraging advanced AI models alongside agent-driven capabilities. Building upon the foundational elements of Qoderwork, Mulerun, and Wukong, it merges a variety of desktop, cloud, and enterprise collaboration agents into a unified interface. By integrating autonomous agent features with web development tools and multimodal generation capabilities, QwenWork enables users to effortlessly create high-quality HTML pages, complete with domain and database support, thereby turning ideas into fully functional web applications. Its built-in multimodal tools allow for the creation of images, videos, and audio content, significantly reducing the need to switch between multiple AI solutions. With accessibility through a cloud-based web interface and a desktop client that links directly to local systems, QwenWork is also designed for smooth integration with DingTalk, positioning it as a flexible choice for contemporary workplace requirements. Ultimately, this platform not only streamlines workflows but also fosters improved collaboration among teams, making it an essential tool in today’s digital landscape.

DingTalk, an innovative collaboration tool created by Alibaba Group, functions as a powerful communication platform widely adopted by numerous businesses and organizations. Utilizing advanced mobile and cloud technologies, DingTalk encompasses an extensive range of features, such as messaging, voice and video calls, workflow management, and office automation, designed for teams and companies of all sizes. The application allows users to easily start chats or voice and video conferences, as well as engage in secure group discussions, thanks to its built-in enterprise address book. As a holistic teamwork solution, DingTalk equips users with various tools for seamless collaboration, including group chats organized by company directory, the ability to track message read/unread statuses, document sharing, and transforming messages into actionable tasks, meetings, or notifications. Furthermore, the platform enhances task management by enabling users to effortlessly arrange their tasks, meetings, and events while integrating their local calendar events into a unified schedule view. This comprehensive approach not only boosts team efficiency but also fosters continuous connectivity among members in the ever-evolving work landscape. Overall, DingTalk stands out as an essential resource for modern organizations aiming to streamline their collaborative efforts.

PyGPT is a multifaceted open-source AI assistant tailored for personal use across desktop platforms such as Linux, Windows, and Mac, with Python as its development language. It operates similarly to ChatGPT but runs directly on your computer, offering a plethora of features including chatting, image and video creation, vision capabilities, and voice interaction. Supporting an array of models, PyGPT encompasses options like OpenAI's GPT-5, GPT-4, o1, o3, o4, as well as Google Gemini, Anthropic Claude, xAI Grok, Perplexity Sonar, DeepSeek, Mistral AI, and models from Ollama and LlamaIndex. Users can select from 12 different operational modes such as engaging with files, real-time audio conversations, research activities, completion tasks, and various imaging functions. With LlamaIndex integration, PyGPT allows users to interact seamlessly with their personal files and data. Furthermore, it includes built-in vector database functionalities, automated embedding of files and information, and retains full conversation context with both short- and long-term memory features. The assistant also boasts internet connectivity through services like Google, Microsoft Bing, and DuckDuckGo, which enhances its utility, including capabilities for speech synthesis and recognition, making it a comprehensive productivity tool. In conclusion, PyGPT emerges as an exceptional choice for individuals seeking a robust and efficient local AI assistant.

QwenPaw is a comprehensive personal AI agent platform that enables users to build, deploy, and manage intelligent assistants across local and cloud environments. It offers flexible installation options, including pip, Docker, desktop apps, and one-click cloud deployment, making it accessible to both developers and non-technical users. The platform integrates with a wide range of communication channels such as Telegram, Discord, WeChat, and enterprise messaging tools. QwenPaw provides advanced memory and personalization capabilities, allowing AI agents to learn from user interactions and continuously improve performance. It features custom lightweight models designed for local deployment, enabling fast processing without relying on external cloud services. The platform supports multi-agent collaboration, where multiple assistants operate in isolated workspaces and handle complex workflows simultaneously. QwenPaw includes a robust three-layer security architecture that protects against unauthorized access, malicious tools, and runtime vulnerabilities. Users can leverage it for productivity, research, automation, content creation, and social media analysis. The system is highly extensible, allowing developers to add new tools and capabilities without disrupting workflows. It is designed to reduce technical complexity while maintaining high performance and scalability. The platform also supports asynchronous task execution for improved efficiency. QwenPaw’s open-source nature encourages community-driven innovation and continuous improvement. It provides a powerful yet user-friendly environment for building personalized AI assistants that evolve with user needs.

OpenWorker functions as an open-source AI assistant that focuses on local applications, designed to handle a variety of daily tasks from start to finish rather than just supplying answers. Users can request detailed results such as a renewal brief, incident report, follow-up message, calendar update, sprint summary, or finalized document, with OpenWorker efficiently working across various platforms that house the necessary data. It integrates seamlessly with a diverse range of services, including Slack, Gmail, Outlook, Google Calendar, Notion, HubSpot, GitHub, Attio, Google Drive, Jira, Linear, Asana, Dropbox, Box, and many other applications via both straightforward and manual connections. The platform supports various models, including cloud-based, open-weight, and entirely local ones, featuring providers such as OpenAI, Anthropic, Google, xAI, Mistral, DeepSeek, Kimi, Qwen, and Ollama, enabling users to select models that best fit their task needs. OpenWorker demonstrates remarkable capabilities in researching, collecting relevant context, performing multi-step tasks, and producing polished outputs in various formats such as chat, Slack, Markdown, PDF, images, or files, while also ensuring it checks in before making crucial decisions. This extensive array of features not only helps users optimize their workflows but also significantly boosts overall productivity. Furthermore, the adaptability of OpenWorker to different tasks and user preferences makes it an invaluable tool for enhancing efficiency in various professional settings.

Globster provides secure and reliable AI agents specifically designed for organizations, allowing teams to employ agents that integrate effortlessly with their applications, documents, and operational workflows while maintaining compliance with the organization's predefined guidelines. These agents are adept at connecting with numerous platforms, such as monday.com, Google Workspace, Slack, HubSpot, Notion, Salesforce, Google Sheets, and many more, which helps in retrieving contextual information and improving workflow efficiency. Moreover, users can interact with these agents through popular messaging services like WhatsApp, Telegram, or Slack, enabling them to delegate tasks and receive status updates right within their preferred tools. Recurring tasks can be converted into workflows driven by agents that include triggers, defined steps, oversight, and actions based on informed decision-making. Each agent comes with a dedicated browsing feature for online research and exploration, and they can utilize advanced models like GPT, Claude, NVIDIA Nemotron, Kimi, Qwen, and DeepSeek through a centralized AI gateway. This holistic strategy not only boosts productivity but also ensures the agents adjust to the specific nuances of each organization, enhancing overall operational effectiveness. By tailoring these AI agents to meet the distinctive needs of different teams, Globster further strengthens collaboration and innovation within the workplace.

Ovrin is a cloud-based computing platform specifically designed for developers engaged in creating AI agents and software that need to run in controlled environments. The platform allows users to utilize a REST API, Python, and TypeScript SDKs or an MCP server to create temporary Linux sandboxes, execute shell commands, manage stateful code, handle files, configure scoped API keys, and retrieve execution results. It also includes prebuilt configurations like Claude Code, OpenAI Codex, Gemini CLI, and DeepSeek Harness, while offering browser workflows that work seamlessly with Chrome and Playwright. Furthermore, Ovrin incorporates features such as persistent memory, lifecycle controls for sandboxes, usage analytics, and concurrency limitations. Typical use cases for Ovrin involve running coding agents, automating browser-based tasks, and executing code produced by various models. Importantly, the platform provides a free tier, with multiple paid plans available that enhance concurrency and compute costs based on usage. In essence, Ovrin is designed to facilitate and optimize the development of AI solutions by delivering a dynamic and adaptable environment for developers. Additionally, its user-friendly interface and comprehensive features make it an appealing option for both novice and experienced programmers alike.

Bloome is a cutting-edge platform tailored for group conversations and agent interactions, enabling Claude, ChatGPT, DeepSeek, and other agents to work together harmoniously as a unified team. Instead of feeling obsolete, users find their abilities significantly enhanced. By eliminating the need to switch between multiple assistants in various tabs, Bloome brings together individuals, agents, tools, and collective knowledge within a streamlined conversation interface, where agents are regarded as vital contributors equipped with profiles, visibility, direct messaging, threads, and notifications. Users can conveniently summon an agent by simply mentioning its name, engage in discussions or tasks, and even incorporate several agents into a single dialogue to streamline delegation, contextual sharing, parallel tasks, peer evaluations, and idea refinement. This framework promotes collaboration across different roles, with one agent potentially crafting content, another providing feedback, and yet another pinpointing gaps, all while human team members actively participate in the same thread to oversee and direct the workflow. Bloome guarantees that every interaction, modification, and decision is recorded in a centralized workspace, allowing anyone with access to easily revisit and reflect on prior conversations. This collaborative environment not only boosts productivity but also nurtures a sense of community and shared objectives among all participants, making the overall experience more rewarding and effective. In essence, Bloome is not just a tool; it is a transformative platform that redefines how teams communicate and collaborate.

DeepSeek emerges as a cutting-edge AI assistant, utilizing the advanced DeepSeek-V3 model, which features a remarkable 600 billion parameters for enhanced performance. Designed to compete with the top AI systems worldwide, it provides quick responses and a wide range of functionalities that streamline everyday tasks. Available across multiple platforms such as iOS, Android, and the web, DeepSeek ensures that users can access its services from nearly any location. The application supports various languages and is regularly updated to improve its features, add new language options, and resolve any issues. Celebrated for its seamless performance and versatility, DeepSeek has garnered positive feedback from a varied global audience. Moreover, its dedication to user satisfaction and ongoing enhancements positions it as a leader in the AI technology landscape, making it a trusted tool for many. With a focus on innovation, DeepSeek continually strives to refine its offerings to meet evolving user needs.

Nanobot is a streamlined and open-source framework designed for personal AI assistants, emphasizing core agent functionalities and autonomous capabilities within a concise and easily navigable codebase of approximately 3,400 to 4,000 lines of Python, which is about 99% smaller than comparable large agent frameworks. The framework is intentionally designed to be simple and modular, allowing researchers and developers to easily understand, adapt, and utilize it for various projects. It encompasses features like persistent memory, task scheduling, integrated tools, and compatibility with several large language models through platforms such as OpenRouter, enabling both local operations and quick deployment via command-line commands. Additionally, nanobot facilitates real-time web searches and can interface with a variety of chat platforms, including Telegram, Discord, WhatsApp, and Feishu, thus supporting seamless communication in different environments. The lightweight architecture not only promotes fast startup times and low resource usage but also offers a clean architectural design that developers can modify without needing to navigate complex abstractions, making it a suitable option for personal applications and AI experimentation alike. Moreover, its intuitive design nurtures innovation and creativity among developers, fostering a collaborative atmosphere that is conducive to breakthroughs in AI technologies. As a result, Nanobot serves as a powerful tool for both novices and seasoned developers seeking to push the boundaries of artificial intelligence.

T3 Chat is recognized as the fastest AI chat application, delivering replies at speeds that are double those of ChatGPT and tenfold quicker than DeepSeek. It grants users access to a broad selection of premier AI models, including Claude 3.5 Sonnet, GPT-4o, and DeepSeek V3, allowing for effortless real-time switching among them. The application features a sleek, intuitive chat interface designed for smooth interactions. Emphasizing speed and user satisfaction, T3 Chat adopts a local-first approach, ensuring that data is directly stored on the user's device for rapid access. Recently, T3 Chat underwent a complete redesign to improve both its visual appeal and functionality, introducing features like light mode and advanced syntax highlighting. This cutting-edge chat application caters to individuals who value a quick, effective, and visually captivating AI experience, solidifying its status as a leading option in the industry. Moreover, T3 Chat is continuously evolving, integrating user feedback and technological innovations to stay ahead in the realm of AI chat solutions, thus promising ongoing improvements and updates for its devoted users.

Intrascope acts as a unified team communication platform that empowers users to utilize their own keys (BYOK) while accessing various large language models such as GPT, Claude, and DeepSeek through a single interface. A standout feature of the platform is its shared persistent context referred to as “Manifests,” which allows teams to preserve reusable project details, including documents, guidelines, tone, and requirements. This capability guarantees consistent output quality and the retention of valuable knowledge, even as team members come and go. Users benefit from the seamless integration of their personal API keys and a payment structure based on usage instead of a fixed per-seat fee, granting them the freedom to select specific models for individual projects. By promoting collaboration and continuity among team members, Intrascope significantly boosts productivity and simplifies the project management process. All these features collectively contribute to a more efficient and organized workflow for teams working on diverse initiatives.

Paseo is an open-source development environment specifically designed for developers working with AI coding agents. It supports coding-agent providers that can be hosted on local machines, development servers, or various platforms, and provides a range of client options, including desktop, web, mobile, and command-line interfaces, to facilitate efficient management. Developers can run multiple agents simultaneously within separate Git worktrees, organize sessions into well-structured workspaces, modify files, check diffs, use terminals and an integrated browser, and manage pull requests with ease. In addition, Paseo includes features like scheduling, voice commands, plugins, and orchestration through MCP, complemented by a CLI and a TypeScript SDK. The system's daemon operates locally, inside Docker containers, or on remote servers, allowing clients to connect directly or through an optional encrypted relay for enhanced security. Furthermore, the optional Paseo Hub expands the platform's functionality by integrating triggers from GitHub, Slack, and Discord, enhancing its overall capabilities. Users must install and authenticate their coding-agent providers and provide the necessary credentials, while Paseo ensures that it does not offer any agent services, allowing users to retain control over their development environments. This architecture not only provides a highly customizable experience but also prioritizes security, catering to the unique requirements of each developer. Ultimately, Paseo enables developers to harness the power of AI coding agents while maintaining flexibility and control throughout their workflow.

Construct Computer is designed as a cloud-based workspace for AI agents, specifically aimed at supporting solo entrepreneurs and small teams. Users can easily assign tasks via a desktop browser or a chat-friendly web platform. The agents within this system are equipped with functionalities that allow them to browse the internet, interact with websites, run code in a secure environment, handle files, generate documents, and connect with various applications. Among its features are persistent memory and files, an inbox for agent communications, a calendar system, reusable workflows, activity logs, and communal resources for team collaboration. Users maintain the ability to review or adjust the memory and can oversee or stop the agents' tasks at any time. Construct Computer also offers seamless integration with communication tools like Slack, Telegram, and Discord, alongside a variety of services from its Composio catalog, as well as options for custom MCP servers and private applications within workspaces. Agents can delegate smaller tasks and manage scheduled jobs in the cloud. Subscription plans come with specific limitations for agents, such as caps on task complexity, the number of scheduled tasks, concurrent operations, command runtime, and available storage. Moreover, a mobile web interface is available for access via smartphone browsers, although it is specified that this is not available as an application in the App Store. Ultimately, Construct Computer seeks to enhance workflow efficiency for users by delivering a comprehensive suite of tools and integrations that cater to various needs. By doing so, it empowers teams to optimize their productivity in a competitive environment.

We are excited to present DeepSeek-V3.2-Exp, our latest experimental model that evolves from V3.1-Terminus, incorporating the cutting-edge DeepSeek Sparse Attention (DSA) technology designed to significantly improve both training and inference speeds for longer contexts. This innovative DSA framework enables accurate sparse attention while preserving the quality of outputs, resulting in enhanced performance for long-context tasks alongside reduced computational costs. Benchmark evaluations demonstrate that V3.2-Exp delivers performance on par with V3.1-Terminus, all while benefiting from these efficiency gains. The model is fully functional across various platforms, including app, web, and API. In addition, to promote wider accessibility, we have reduced DeepSeek API pricing by more than 50% starting now. During this transition phase, users will have access to V3.1-Terminus through a temporary API endpoint until October 15, 2025. DeepSeek invites feedback on DSA from users via our dedicated feedback portal, encouraging community engagement. To further support this initiative, DeepSeek-V3.2-Exp is now available as open-source, with model weights and key technologies—including essential GPU kernels in TileLang and CUDA—published on Hugging Face, and we are eager to observe how the community will leverage this significant technological advancement. As we unveil this new chapter, we anticipate fruitful interactions and innovative applications arising from the collective contributions of our user base.

The Excession API provides hosted access to DeepSeek V4.1 Flash and its variant, DeepSeek V4.1 Flash Abliterated, through endpoints that align with OpenAI's Chat Completions, OpenAI Responses, and Anthropic Messages. This enables developers to seamlessly integrate these models into their applications, utilizing features like streaming capabilities and tool calls, while also having the ability to select models based on their API identifiers and manage their usage and costs effectively. Additionally, the API includes endpoints for model catalogs, API key management, account oversight, and balance checks, all of which are governed by request rate limitations and billing determined by usage. This robust functionality is tailored to support developers in crafting AI applications and agents, including those necessitating secure workflows with the abliterated model. Developers can choose between adding a pay-as-you-go balance or subscribing monthly, which provides API credits as part of the package. Importantly, both models are limited to a context of 1,048,576 tokens, and while token rates may vary by model, it's crucial to note that any unused credits from the monthly subscription will not carry over after renewal. In summary, the Excession API is designed to be a versatile and valuable tool for developers aiming to elevate their projects with sophisticated AI capabilities, ensuring they have the resources needed to innovate effectively.

DeepSeek-V4.1-Flash-1017 is an open-weight artificial intelligence model developed by DeepSeek for multimodal understanding, advanced reasoning, autonomous agent workflows, and software engineering. Introduced on October 17, 2026, the release updates DeepSeek-V4.1-Flash with improvements in reasoning accuracy, coding capabilities, agent performance, and computational efficiency. The model builds on DeepSeek's mixture-of-experts architecture and supports native visual understanding alongside natural language processing. Its one-million-token context window enables applications to process extensive documents, large code repositories, and long sequences of interactions. Developers can configure reasoning effort and use the model for tasks involving mathematical reasoning, programming, information analysis, and complex problem-solving. Software engineering capabilities include code generation, debugging, repository analysis, automated testing, and implementation of features across existing projects. DeepSeek also trained the model using reinforcement learning with self-feedback to improve its ability to create complete projects, including web applications, interactive games, and 3D environments. Its agentic capabilities support multi-turn conversations, external tool calling, task planning, and integration with automated development environments. DeepSeek reports improvements over the previous version on benchmarks including Terminal-Bench, DeepSWE, ProgramBench, Automation-Bench, and Agents' Last Exam. The model includes reference prompt encoding tools and supports deployment through Hugging Face Transformers, vLLM, SGLang, and compatible inference infrastructure. DeepSeek-V4.1-Flash-1017 is available through the DeepSeek API under the deepseek-flash model identifier and through downloadable model weights licensed under the MIT License.

DeepSeek Coder represents a groundbreaking advancement in the field of data analysis and programming. Utilizing cutting-edge machine learning and natural language processing, it empowers users to seamlessly integrate data querying, analysis, and visualization into their everyday workflows. With an intuitive interface designed for both novices and experienced developers, it simplifies the processes of writing, testing, and optimizing code. Notable features include real-time syntax checking, intelligent code suggestions, and comprehensive debugging tools, all of which significantly boost coding efficiency. Additionally, DeepSeek Coder excels at interpreting complex data sets, allowing users to derive meaningful insights and create sophisticated data-driven applications with ease. Its robust capabilities and user-friendly design make DeepSeek Coder an indispensable tool for anyone involved in projects that rely on data. As such, it stands out as a key resource in the ever-evolving landscape of technology and analytics.

Chat Stream provides users with access to two powerful language models created by DeepSeek, highlighting their exceptional performance capabilities. These models, known as DeepSeek V3 and R1, boast an impressive total of 671 billion parameters, with 37 billion activated for each token, and consistently deliver outstanding results on benchmarks like MMLU at 87.1% and BBH at 87.5%. With a generous context window length of 128K, they excel in various applications, including code generation, intricate mathematical calculations, and multilingual processing. They are built on an advanced Mixture-of-Experts (MoE) framework, utilize Multi-head Latent Attention (MLA), and incorporate auxiliary-loss-free load balancing along with a multi-token prediction approach to boost their efficiency. The deployment options are highly adaptable, featuring a web-based chat interface for instant use, straightforward integration into websites via iframes, and dedicated mobile applications available for iOS and Android platforms. Moreover, the models can operate on diverse hardware setups, including NVIDIA and AMD GPUs, as well as Huawei Ascend NPUs, facilitating both local inference and cloud deployment. Users enjoy multiple access methods, such as free chat without registration, options for website embedding, mobile app functionality, and an upgraded subscription that provides an ad-free experience while ensuring flexibility and ease of access for everyone. In addition, the versatility of these models allows users to explore a wide range of functionalities tailored to meet varied needs.

Hermes Desktop is a comprehensive open-source AI agent platform developed by Nous Research that provides users with a powerful environment for personal productivity, workflow automation, communication management, and intelligent task execution. Designed to function as a unified AI workspace, the platform allows a single agent to operate across multiple communication channels including Telegram, Discord, Slack, WhatsApp, Signal, email, and command-line interfaces while maintaining a centralized memory system. Persistent memory capabilities enable the agent to learn from user interactions, remember project details, generate reusable skills, and continuously improve its ability to solve problems over time. The platform supports natural-language scheduling, allowing users to automate reports, backups, briefings, and other recurring tasks without manual intervention. Advanced AI capabilities include web search, browser automation, image generation, text-to-speech, computer vision, and multi-model reasoning to support a wide variety of use cases. Hermes Desktop introduces isolated subagents that can operate independently with dedicated conversations, terminal sessions, and Python-based automation workflows, making it possible to build scalable multi-agent processes. Robust sandboxing features provide secure execution environments through multiple backend options, including local systems, Docker containers, SSH servers, Singularity environments, and cloud-based infrastructure. The platform is designed to support experimentation, automation, and complex workflow orchestration while maintaining security through container hardening and environment isolation. Access to hundreds of AI models and built-in tools expands the platform’s capabilities for research, development, content creation, and operational tasks.

ClinePass is a subscription-based platform that grants developers access to a variety of open weight models within Cline, designed to provide generous quotas and reliable access to robust coding tools without the complications of managing multiple API keys or provider configurations. Designed for seamless integration with Cline IDE and CLI, users can quickly move from account creation to active coding within minutes by signing up, installing Cline, selecting the ClinePass provider, and diving into their projects. The service includes a specialized agent harness that enhances workflows optimized for open-weight models, which simplifies and accelerates the development journey. ClinePass features an extensive assortment of open weight models from esteemed sources, including Z.ai, Moonshot AI, DeepSeek, MiniMax, MiMo, and Qwen, catering to diverse programming needs. Among the notable models offered are GLM 5.2, which excels in advanced reasoning tasks, Kimi K2.7 Code for dedicated coding activities, and Kimi K2.6 that supports agentic workflows. Moreover, the platform also provides DeepSeek V4 Pro for managing extensive modifications, DeepSeek V4 Flash for swift iterations, MiniMax M3 that addresses general coding requirements, MiMo V2.5 Pro for high-level professional tasks, and MiMo V2.5 for streamlined editing processes. Additionally, Qwen3.7-Max is designed for highly demanding projects, while Qwen3.7-Plus offers a balanced solution for coding endeavors. This comprehensive selection of models equips developers with the essential resources to tackle a broad spectrum of programming challenges, enhancing their overall productivity and efficiency. As a result, ClinePass stands out as a valuable tool for developers seeking to maximize their coding capabilities.