Alternatives to Hermes Agent

Claude Code is a developer-focused AI tool built to actively assist with real-world coding tasks inside the tools engineers already use. Instead of only completing lines of code, it understands full features, repositories, and workflows. Developers can run Claude Code from their terminal, IDE, Slack, or browser to ask questions, make changes, or debug issues. It automatically explores codebases to provide context-aware explanations and recommendations. This makes onboarding to new projects significantly faster and less error-prone. Claude Code can refactor large sections of code, run tests, and help resolve issues without jumping between platforms. It supports integrations with GitHub, GitLab, and common CLI utilities for end-to-end development workflows. Teams can use it to turn issues into pull requests with minimal manual effort. Claude Code is included in Anthropic’s Pro and Max plans with varying usage limits. Overall, it helps developers focus more on decision-making and less on repetitive implementation work.

Amp is a next-generation coding agent engineered for developers working at the frontier of software development. It brings powerful AI agents directly into the terminal and code editors, allowing engineers to build, refactor, review, and explore large codebases with minimal friction. Unlike simple code assistants, Amp operates agentically, running subagents, managing context, and making coordinated changes across dozens of files. It supports multiple state-of-the-art models and continuously evolves with frequent updates, new agents, and performance improvements. Features like agentic code review, clickable diagrams, fast search subagents, and context-aware analysis make Amp feel like a true engineering partner rather than a chat tool. By reducing manual overhead and increasing leverage, Amp enables teams to focus on higher-level design and problem solving. The result is faster iteration, cleaner architectures, and more ambitious builds.

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Viktor is an AI-powered coworker built to live natively inside Slack and Microsoft Teams and handle complex tasks autonomously. Equipped with its own cloud computer, Viktor can write and execute code, build and deploy applications, analyze metrics, and manage workflows across more than 3,000 integrated tools. It proactively monitors systems, flags issues, and suggests actionable next steps instead of simply responding to prompts. Teams can request reports, create tickets, audit marketing campaigns, or retrieve analytics directly within Slack conversations. Viktor maintains persistent context over long-running projects, coordinating tasks and deadlines across multiple weeks. It connects seamlessly to platforms like Linear, PostHog, Google Ads, and other business tools to automate cross-functional operations. The agent drafts artifacts such as documents, issues, and updates for approval before execution. With both free and enterprise plans, Viktor scales to match team workload and automation needs. Security and workspace controls ensure safe collaboration within organizational environments. By combining autonomy, integrations, and persistent context, Viktor acts as a highly capable digital teammate embedded in daily workflows.

OpenAI Dots are persistent AI agents powered by GPT-6 Astra that can independently make progress on projects while remaining under the user's direction. A dot functions as an extension of its user by learning how they work, monitoring what requires attention, and using its own cloud computer to carry out tasks between conversations. It can begin with context from ChatGPT memory and use Codex and connected tools to work with relevant applications, documents, data, and workflows. Users can give a dot responsibility for a large project or a smaller recurring workflow and allow it to proactively determine appropriate next steps. Dots can analyze new data, refresh reports and presentations, investigate unexpected results, prepare code and tests, monitor feedback, and draft supporting materials for review. They can also maintain continuity across related tasks, such as updating an investor presentation when new financial data arrives or tracking an API migration until remaining dependencies are resolved. Users can communicate with their dots through ChatGPT on web, mobile, and desktop to provide feedback, change direction, or review work in progress. Permissions and Custom Rules determine which applications a dot can access, which actions it can perform independently, and which activities require explicit approval. Potentially consequential actions are subject to additional review against the user's instructions, configured rules, and applicable safety requirements.

Codex is an advanced AI coding assistant from OpenAI that helps developers streamline the entire software development process from start to finish. It functions as a powerful pair programmer capable of understanding repositories, writing code, and generating production-ready pull requests. The platform supports complex workflows, including debugging, refactoring, testing, and code reviews, all within a unified environment. One of its standout features is computer use, which allows Codex to operate your computer directly by seeing the screen, clicking, and typing within applications. This capability enables it to interact with tools and software that lack direct integrations or APIs. Codex also includes an in-app browser, allowing developers to iterate on web applications and provide precise instructions directly on live pages. It integrates with a wide range of tools and plugins, enhancing its ability to gather context and take action across workflows. The platform supports multi-agent collaboration, enabling parallel work across projects to accelerate development timelines. Codex also offers automation features that allow it to schedule and complete recurring tasks without manual input. With memory capabilities, it can remember preferences and past actions to improve future performance. Overall, Codex delivers a comprehensive AI-powered solution that combines coding, automation, and real-world computer interaction to boost developer efficiency.

Meta Muse is a personal AI agent built to help users complete everyday tasks rather than only answer questions in a chat interface. The service operates through a persistent secure virtual machine equipped with its own browser so it can navigate websites and carry out online workflows. Muse can help with activities such as scheduling appointments, completing forms, interacting with customer service, and making arrangements on the user’s behalf. Users can communicate with the agent through the Muse app or directly in WhatsApp using a conversational messaging interface. The agent can connect with services such as email, calendars, Instagram, and other frequently used applications to work across a broader set of personal tasks. Muse can turn goals into action plans, track progress, and proactively suggest additional steps based on what the user is trying to accomplish. For consequential actions such as sending emails or completing purchases, the system can request approval before proceeding and provides an audit trail of agent activity. Login credentials are stored in a secure credential system that the agent itself cannot read, while checkout workflows can use one-time card numbers so the user’s primary payment information is not exposed. Muse is designed for people who want an AI agent that can actively execute tasks, coordinate across apps, and continue working toward goals with user oversight.

Grok Bot is an AI teammate platform that allows users to assign work to bots across their tools, apps, websites, and business workflows. The platform is designed for AI agents that can sign in to tools, operate them like a user would, and complete projects from start to finish. Users can message bots like teammates on desktop or iOS, give them tasks, and receive completed work or approval requests when needed. Grok Bot supports multiple bots working at once, making it possible to run one bot for outbound sales, another for expenses, another for inbox management, and another for systems or project operations. Bots can learn by watching a user complete a workflow, save that process as a routine, and repeat it later on a schedule. They keep context over time, learn from each other, and can collaborate inside shared threads by passing work between bots. Example workflows include researching accounts, scoring contacts, drafting email and LinkedIn messages, managing receipts, clearing inboxes, preparing follow-ups, booking venues, and creating recap documents. The platform includes a persistent cloud computer that bots share, allowing them to keep files, browser sessions, logins, and context available across work. By combining agentic task execution, tool access, workflow learning, scheduled routines, multi-bot collaboration, and approval checkpoints, Grok Bot helps users turn AI into an active teammate.

OpenClaw is a versatile open-source AI assistant that operates autonomously on your computer, server, or VPS, surpassing the basic function of text generation by executing real-world tasks based on your natural language commands via popular messaging platforms such as WhatsApp, Telegram, Discord, and Slack. By connecting to various external large language models and services, it emphasizes local processing and data control, enabling the assistant to efficiently manage your inbox, send emails, organize your calendar, check you in for flights, interact with files, execute scripts, and streamline daily workflows without relying on predefined triggers or cloud-based solutions. It is designed to maintain persistent memory, which allows it to remember context across different sessions and run continuously, thereby proactively managing tasks and reminders. Additionally, OpenClaw facilitates integrations with messaging applications and supports community-developed "skills," empowering users to enhance its functionality and manage various agents or tools within separate workspaces, making it an adaptable solution for personal productivity.

Muse Code is a beta terminal coding agent from Meta designed to help developers complete complex software engineering work across large codebases. Powered by Muse Spark 1.2, the agent can plan repository changes, write code, run validation steps, and coordinate persistent subagents for difficult development tasks. Muse Code uses a simple main agent loop supported by async background agents that remain active throughout each session. These background agents can gather information, carry out next steps, and decide when to report back to the main agent, reducing latency and unnecessary user steering. The runtime is built around a local event log where every model call, tool run, approval, and edit is appended. This event log makes Muse Code replay-exact and restart-safe, allowing it to resume from the point of failure after a crash. Muse Code also ships with default skills, including /plan, /grill, and /goal, to support structured planning, plan validation, and objective completion. It can be installed on macOS or Linux and is integrated with Meta’s AI developer ecosystem. By combining terminal-based coding, persistent subagents, replay-safe execution, bundled skills, and Muse Spark 1.2, Muse Code helps developers automate larger and longer software engineering workflows.

Reasonix functions as an open-source coding agent tailored for extended autonomous sessions, ensuring that the code produced is readable, auditable, and reversible. It utilizes a single local engine that integrates with four different interfaces: terminal, desktop application, web browser, and ACP-compatible editors, sharing sessions, permissions, skills, and MCP servers among them. The plan mode retains all writes until the suggested steps undergo review and approval, while read, write, and shell commands are distinctly gated and limited within a secure workspace sandbox. Each action taken generates a checkpoint outside of Git, enabling users to revert to earlier points in a lengthy session without disrupting the commit history. Support for MCP through stdio, SSE, and streamable HTTP amalgamates external tools within a single registry, while Markdown skills and independent subagents enhance the agent's capabilities without necessitating a fork. Reasonix maintains a map of the codebase established at the outset, preserving that map for the entirety of the session, which allows users to organize tasks, examine differences, and continue their work seamlessly without sacrificing context. This design fosters an efficient workflow that minimizes the risk of losing track of ongoing projects.

Sai is an intelligent computer-use agent that transforms a private cloud virtual machine or personal device into an automated system. It mimics human behavior by interacting with real interfaces, executing clicks and typing within browsers, desktop applications, file systems, and command terminals. Users communicate their requirements in straightforward language, and Sai performs the tasks while providing real-time visibility and approval mechanisms for critical actions. Designed for repetitive and labor-intensive computer work, it manages activities such as research, lead generation, drafting follow-ups, scheduling, organizing files, updating spreadsheets, handling documents, and producing regular reports. Once Sai learns a particular workflow, it can efficiently execute it on a predetermined schedule, improving its speed and effectiveness with each iteration. Since it operates through graphical interfaces, Sai is capable of interacting with software that lacks APIs. Furthermore, tasks can be executed on Sai's cloud desktop independently of the user’s laptop, allowing for seamless notifications and approvals via iMessage, thus enhancing user convenience and productivity. This unique approach revolutionizes how users delegate their computing tasks, making their work-life more manageable.

Osaurus is an innovative AI platform designed for macOS, enabling users to operate open models directly on their Mac while also providing the option to access cloud models for enhanced performance and share memory seamlessly between them. Developed using Swift specifically for Apple Silicon, it allows for complete offline functionality with local models through interfaces like Ollama, MLX, or LM Studio, ensuring that conversations, code, files, settings, agents, skills, and provider keys remain stored on the device unless the user opts for a cloud service. A convenient system-wide chat overlay grants users quick access to the AI from any application, and users can establish distinct agents tailored for various tasks such as coding, research, and file management, with each agent maintaining its own prompt, history, and memory. Osaurus intelligently synthesizes previous conversations into pertinent information, loads necessary skills for specific tasks, and provides agents with targeted access to relevant folders, file search capabilities, Git, and other essential tools. Additionally, agents operate within a secure sandbox environment, can delegate tasks to subagents, adhere to scheduled operations, react to changes in folders, utilize voice commands, and even create images, showcasing the platform's versatility and robust feature set. This comprehensive approach not only enhances productivity but also empowers users to customize their workflows efficiently.

Odysseus is a self-hosted AI workspace platform designed to provide users with a comprehensive environment for interacting with large language models while maintaining full ownership of their data. The platform supports conversational AI, autonomous agents, research workflows, email management, document handling, and memory-driven assistance within a single interface. Users can connect local or external AI models and manage them through a centralized workspace tailored to their specific needs. Autonomous agent functionality enables AI systems to plan tasks, execute tools, and complete multi-step workflows with minimal user intervention. Built-in support for MCP servers and various tools, including file access, web capabilities, shell commands, and memory management, expands the platform’s functionality. The Deep Research feature automates information gathering, analysis, and report generation across multiple sources. Odysseus also includes model comparison tools that allow users to evaluate responses from multiple language models side by side. Persistent memory capabilities help the platform retain context across conversations, improving personalization and productivity over time. As an open-source and privacy-focused solution, Odysseus gives users a flexible alternative to cloud-based AI platforms.

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.

NemoClaw from NVIDIA is a framework designed to simplify the creation of AI agents and intelligent automation systems. The platform builds on NVIDIA’s NeMo ecosystem, which is known for enabling high-performance AI development using GPU acceleration. With NemoClaw, developers can design agents that understand instructions, interact with software tools, and automate complex workflows. The framework supports integration with large language models, allowing AI agents to process natural language and perform advanced reasoning tasks. Developers can connect these agents to APIs, databases, and enterprise tools so they can gather information and execute actions. NemoClaw is optimized for scalable deployment on NVIDIA GPU infrastructure, making it suitable for production-grade AI systems. The platform helps developers create applications such as virtual assistants, AI copilots, and automated decision-making systems. It also supports modular development, enabling teams to add new capabilities or tools to agents over time. By leveraging NVIDIA’s AI technologies, NemoClaw provides a reliable environment for building sophisticated AI-driven automation. Overall, the framework helps organizations accelerate the development of intelligent AI agents that can handle complex real-world tasks.

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.

OpenHuman is an advanced personal AI superintelligence designed to prioritize privacy, simplicity, and exceptional capability. It serves as a singular assistant that swiftly integrates into a user's environment, learning their context and providing support within minutes rather than requiring extensive setup time. The foundation of OpenHuman lies in its deep personalization, which involves learning from various inputs like screen activity, text messages, emails, and connected applications while ensuring that all contextual information remains confidential. With a memory capacity that scales up to 1 billion tokens, users can share detailed personal information, work-related contexts, documents, and preferences, enabling the assistant to gain a more comprehensive understanding of their needs over time. Additionally, OpenHuman can seamlessly link to tools such as Gmail and Notion with just a few clicks, while also offering advanced users the option to manually configure credentials for enhanced control. Furthermore, it operates a local AI model for handling lower-level tasks like summarization and tooling, ensuring that sensitive work can be kept off the cloud and enhancing overall data security. This combination of features makes OpenHuman a powerful ally in managing personal and professional tasks efficiently.

QoderWake functions as a round-the-clock AI workforce platform, featuring specialized digital workers capable of undertaking genuine responsibilities instead of being mere generic AI solutions. This platform offers over six distinct predefined roles and more than 100 job skills, ensuring rapid onboarding and uninterrupted operation 24/7. After the initial guidelines are established, AI employees can autonomously initiate tasks without requiring detailed instructions, effectively planning, executing, and syncing proactively as necessary. The system enhances collaboration by accumulating memory, judgment, and quality of output, which leads to performance improvements over time. QoderWake ensures stable long-term operations through inherent validation mechanisms, recovery from failures, and the ability to maintain state across tasks, allowing each execution to leverage previous experiences without sacrificing consistency. Each digital employee possesses a unique identity, complete with a name, role, hire date, and work history, while options for expanding capabilities are available through a comprehensive role skill library and the creation of custom skills. Additionally, this structure fosters a more adaptable workforce, enabling businesses to meet evolving demands efficiently.

OpenWork is a versatile, open-source desktop application powered by AI, crafted to assist both individuals and teams in the execution, management, and sharing of agentic workflows utilizing large language models within a cohesive and locally-centered environment. This tool facilitates connections to over 50 language model providers, allowing users to input their own API keys and seamlessly integrate their existing tools, skills, and plugins into one comprehensive workspace, which fosters adaptable and personalized AI-driven automation. It converts everyday language commands into actionable tasks, such as automating web activities, extracting information, or producing outputs across linked applications, all while offering a clear execution timeline that details the actions performed and their rationale. OpenWork prioritizes both composability and extensibility, catering to desktop, command line interface, and cloud setups, while also enabling workflows to be packaged as shareable “skills” that can easily be imported by teams through a single link, without the need for complex technical configurations. This innovative approach not only streamlines workflows but also enhances collaboration, making it an invaluable resource for teams looking to harness the power of AI effectively.

The Portable Computer serves as a local-first alternative to the Perplexity Computer, operating entirely on your personal device to ensure that sensitive information remains private while still accommodating sophisticated workflows. In collaboration with NVIDIA, it effectively manages various functionalities such as the orchestrator, planner, tool router, scheduler, durable task queue, local search index, and AI models, all executed locally. This enables it to perform data analysis, file synthesis, document and code searching, and execute tasks directly on the device, maintaining long-running processes without needing cloud connectivity. It is designed to operate on NVIDIA DGX Spark, utilizing either Qwen 3.8 27B or PPLX 27B models, with the addition of NVIDIA Nemotron 3.5 Lightning to enhance model selection. The system is optimized to carry out as many operations as possible locally, only escalating tasks that require real-time data, internet browsing, integration with other applications, or advanced reasoning capabilities. Additionally, when there’s a need to transmit any information from the device to a cloud-based service, the Portable Computer will first seek user consent before continuing with the action, ensuring user control over data sharing. This thoughtful approach not only emphasizes privacy but also enhances user confidence in managing their data securely.

QoderWork serves as a versatile AI work partner that offers advanced functionalities that extend beyond mere coding. Just specify your requirements, and QoderWork will strategize, implement, and provide results, assisting with various daily responsibilities like file organization, data processing, document creation, web research, visual design, and spreadsheet analysis. Its integrated browser automation feature allows it to navigate websites, gather information, complete forms, and streamline repetitive online tasks without needing additional software. It is capable of reading Excel files, examining data from multiple angles, producing charts and actionable insights, synthesizing discussions into organized reports, crafting relevant visuals to accompany written material, and generating detailed educational demonstration videos. Professional-grade outputs can be produced and delivered in formats such as Word, Excel, PowerPoint, and PDF, incorporating AI-generated images, infographics, and posters seamlessly. Users can manage their tasks in a conversational manner by articulating their objectives and designating a specific folder for their work. This intuitive approach makes it easier for users to maximize productivity while relying on QoderWork's extensive capabilities.

QwenWork serves as a comprehensive AI agent platform aimed at enhancing productivity for both individuals and businesses, utilizing sophisticated AI models and agent-oriented functionalities. Drawing from the foundational strengths of Qoderwork, Mulerun, and Wukong, it consolidates various desktop, cloud, and enterprise collaboration agents into one cohesive system. By combining autonomous agent functionality with web development and integrated multimodal generation, QwenWork empowers users to produce high-quality HTML pages that come with domain and database services, effectively transforming concepts into fully operational web applications. Its native multimodal features facilitate the creation of images, videos, and audio, minimizing the necessity of toggling between different AI tools. Accessible via a cloud-based web interface and a desktop client that connects directly to local machines, QwenWork is also crafted for seamless integration with DingTalk, making it a versatile choice for modern workplace needs. This platform not only simplifies workflows but also enhances collaborative efforts among teams.

QwenPaw is an open-source personal AI agent framework designed to simplify the creation and deployment of intelligent assistants. It allows users to quickly set up AI agents using various installation options, including local environments, cloud platforms, and desktop applications. The platform integrates with over 10 communication channels, enabling seamless interaction across messaging and collaboration tools. QwenPaw includes advanced memory and personalization features, allowing agents to learn user preferences and deliver tailored responses. It introduces custom lightweight models that can run locally without cloud dependency, making it suitable for privacy-sensitive environments. The platform supports multi-agent workspaces, where multiple AI agents can operate independently and collaborate asynchronously. Its three-layer security architecture ensures protection against runtime threats, unauthorized file access, and unsafe tool usage. QwenPaw is designed for a wide range of use cases, including productivity, research, content creation, and social media monitoring. Developers can extend its capabilities through customizable tools and integrations. The framework is optimized for efficiency, reducing maintenance costs and improving long-term scalability. QwenPaw empowers users to build intelligent, secure, and personalized AI assistants for everyday tasks.

PyGPT is a versatile open-source AI assistant designed for personal use on desktop systems such as Linux, Windows, and Mac, and it is developed using Python. It operates in a manner akin to ChatGPT but functions locally on your computer, providing features like chat, image and video generation, vision capabilities, voice control, and more. Supporting a variety of models, PyGPT includes options like OpenAI's GPT-5, GPT-4, o1, o3, o4, Google Gemini, Anthropic Claude, xAI Grok, Perplexity Sonar, DeepSeek, Mistral AI, alongside models from Ollama and LlamaIndex. Users can choose from 12 operational modes, including chatting with files, real-time audio interactions, research, completion tasks, and various imaging capabilities. With integrated LlamaIndex support, users can engage with their personal files and data seamlessly. Additionally, PyGPT features built-in vector database capabilities, automated embedding of files and data, and maintains full conversation context alongside both short- and long-term memory. The assistant is equipped with internet access through platforms like Google, Microsoft Bing, and DuckDuckGo, enhancing its functionality, which also includes speech synthesis and recognition, making it a comprehensive tool for productivity. Overall, PyGPT stands out as an innovative solution for those seeking a powerful local AI assistant.

Pi is a streamlined terminal coding environment designed to seamlessly integrate with developer workflows rather than requiring developers to conform to its structure. It comes equipped with robust default settings while maintaining a compact size and extensive customization options, allowing users to enhance Pi through various extensions, skills, prompt templates, themes, and shareable packages sourced from npm or git. When a team requires a specific command, tool, provider, workflow, or UI modification, they can simply instruct Pi to create it, make adjustments on the fly, reload, and continue their work without interruption. Pi is versatile, offering support for interactive, print/JSON, RPC, and SDK modes, which enables it to function as a comprehensive terminal UI, a scriptable command interface, a JSON event stream, or an easily embeddable agent harness. It is compatible with over 15 providers and numerous models, including options like Anthropic, OpenAI, Google, Azure, Bedrock, Mistral, Groq, Cerebras, xAI, Hugging Face, Kimi For Coding, MiniMax, OpenRouter, Ollama, and other services, facilitating mid-session model switching to enhance flexibility and user experience. This adaptability makes Pi an invaluable tool for developers looking to tailor their coding environment to meet their specific needs.

Town serves as a comprehensive AI productivity assistant that seamlessly integrates with a user's existing workplace applications to carry out genuine operational tasks related to email, documents, scheduling, and workflows from a singular interface. This tool functions as a cohesive assistant that connects with platforms like Gmail, Google Calendar, Slack, Notion, Google Drive, and various project management systems, enabling it to automatically streamline work across these applications. Rather than having to toggle between different programs, users can instruct Town to sort their inbox, create replies in their unique writing style, compile information, oversee meetings, and implement complex workflows involving multiple connected tools. It evaluates incoming email conversations, highlights urgent messages and deadlines, archives newsletters, and prioritizes remaining emails while also suggesting responses that capture the user's tone and contextual relevance. This innovative assistant not only enhances productivity but also allows users to focus on more strategic tasks by managing routine communications efficiently.

Nanobot is a lightweight, open-source framework for personal AI assistants that focuses on providing essential agent functionalities and autonomous capabilities within a compact and understandable codebase of roughly 3,400 to 4,000 lines of Python, which is around 99% smaller than similar large agent frameworks. Its design is purposely straightforward and modular, making it accessible for researchers and developers to comprehend, modify, and explore for various projects. The framework includes features such as persistent memory, task scheduling, built-in tools, and the ability to integrate with several large language models through platforms like OpenRouter, allowing it to function locally or to be deployed swiftly using command-line instructions. Furthermore, nanobot supports real-time web searches and can connect through multiple chat platforms, including Telegram, Discord, WhatsApp, and Feishu, enabling seamless interaction across diverse environments. The lightweight structure not only facilitates rapid startup times and minimal resource consumption but also provides a clean architectural framework that developers can easily customize without intricate abstractions, making it an ideal choice for both personal use and experimentation in AI development. Additionally, its user-friendly nature encourages innovation and creativity among developers, fostering an environment ripe for advancements in AI applications.

The Xiaomi MiMo Desktop is an innovative desktop application powered by AI, intended to manage intricate tasks across various areas such as presentations, documents, spreadsheets, scheduling, file management, programming, and research. Its intelligent scheduling feature evaluates the nature, difficulty, and resource requirements of tasks to determine the most effective execution path, directing work to appropriate frameworks for office tasks, coding, or research while dynamically choosing the necessary models and tools. Users have the ability to decompose complex assignments into smaller subtasks that can be progressed simultaneously by different agents, all while maintaining complete visibility of progress from start to finish, aided by a Self-Evolve engine that consistently enhances the system’s codebase. Furthermore, users can easily provide context by dropping files into the application and generating various deliverables such as slides, web pages, 3D models, applications, and more, enabling them to run and interact with the results in real-time within the session or preview area. Additionally, the application allows for the selection of specific local areas for targeted edits, bulk modifications, and version rollback capabilities, ensuring that users can refine their work without the need to regenerate all content. With the continuous advancements in its functionality, Xiaomi MiMo Desktop proves to be a versatile tool for enhancing productivity and efficiency in various professional domains.

Vorker.ai serves as an AI assistant tailored for small enterprises, streamlining everyday operational tasks. This innovative tool aids in managing emails, conducting research, preparing documents, handling bookkeeping, organizing schedules, facilitating meetings, and supporting marketing efforts, all while integrating seamlessly with the tools companies already use. Users maintain control by reviewing and approving significant actions before they are executed or documented. This service is specifically crafted for individual entrepreneurs and small groups working in various sectors such as services, trades, and professional fields. Additionally, it empowers users to focus on their core activities by taking care of repetitive tasks efficiently.

OpenCode brings AI-driven development directly into the terminal with a sleek, native TUI that adapts to your preferred theme and style. Its LSP-enabled architecture automatically detects and configures the best tools for each language, ensuring seamless coding assistance across stacks. Unlike typical agents, OpenCode is designed for true multi-session workflows, allowing multiple agents to run in parallel on the same project without conflict. Developers can instantly generate shareable links from their sessions, making debugging and collaboration smoother than ever. With support for Claude Pro, Claude Max, and over 75 different LLM providers through Models.dev—including local models— OpenCode offers unmatched flexibility. Installation is simple across npm, Bun, Homebrew, and Paru, giving developers fast access no matter their setup. Beyond the terminal, OpenCode integrates with VS Code and GitHub, extending AI power across familiar environments. For coders who want speed, flexibility, and direct control in their workflows, OpenCode is the definitive AI agent for the command line.

omp (oh my pi) is an AI coding agent platform designed to give developers a fully integrated environment for software development, debugging, automation, and collaboration. Built as an enhanced evolution of the Pi coding harness, it connects AI models directly to language servers, debuggers, shells, browsers, memory systems, GitHub repositories, and local development tools without relying on separate plugins or external workflows. The platform supports more than 40 AI providers, allowing developers to switch between frontier models, coding plans, local models, and self-hosted AI services from a unified interface. omp includes advanced capabilities such as structural code editing, intelligent code review, persistent Python and JavaScript execution, browser automation, workflow orchestration, subagents, and collaborative live coding sessions. Developers can debug applications using integrated DAP support, perform semantic code analysis through LSP integration, and automate complex development tasks with specialized built-in tools. Its local memory system allows the agent to retain project knowledge across sessions while maintaining developer control over stored information. omp also introduces innovations such as hash-based code editing, deterministic context compaction, time-traveling stream rules, and content-aware retrieval that improve AI coding accuracy while reducing token usage. Built on a native Rust engine with support for Windows, macOS, and Linux, the platform emphasizes speed, low overhead, and deep integration with local development environments. As an MIT-licensed open-source project, omp gives developers an extensible AI coding platform that can be customized, audited, and expanded to match their own engineering workflows.

TrustClaw serves as a round-the-clock AI assistant that boasts over 1000 integrations via OAuth and operates in a secure, sandboxed environment, fundamentally redesigned with a focus on security based on the principles of OpenClaw. This intelligent assistant is engineered to perform tasks while users rest, allowing for seamless interaction with the same agent across various messaging platforms such as Telegram, with additional support for WhatsApp, Discord, and Slack anticipated in the near future. Users can rely on TrustClaw to manage their workflows efficiently, as it can retrieve and organize emails, compose responses, document customer feedback in Notion, summarize messages from Slack, extract completed tickets from Linear, and create release notes. Furthermore, it can scrape reviews, evaluate sentiment, monitor Gmail for customer inquiries, and integrate with numerous applications including Gmail, GitHub, Notion, Figma, Linear, Jira, Google Drive, Google Calendar, Todoist, Asana, Trello, Stripe, HubSpot, and Airtable, among others. The platform's key feature is its commitment to enhancing security by eliminating the need for insecure password or API-key-based agent configurations in favor of OAuth-only connections and encrypted management of credentials, ensuring a safer user experience. Ultimately, TrustClaw aims to redefine how users interact with AI by providing a trustworthy and efficient solution for managing their digital tasks.

Spinnable offers AI-driven virtual employees that autonomously manage repetitive business tasks within the existing software that teams already utilize, functioning continuously around the clock. Each AI worker is designed for a particular role or process and can operate based on a predetermined schedule or be activated by specific events, all without the need for any technical configuration. The range of available AI workers includes capabilities in areas such as product management, executive assistance, financial analysis, research, real estate operations, sales, customer service, and general operations. These intelligent assistants can perform a variety of tasks, including researching potential clients, following up on leads, drafting product requirement documents and tickets, managing appointments and email correspondence, analyzing financial data, tracking market trends, publishing content, collecting invoices, handling routine customer inquiries, and generating regular reports. Additionally, these workers can integrate with over 50 different tools like Gmail, HubSpot, Notion, Google Sheets, Google Calendar, Stripe, Outlook, Salesforce, Intercom, GitHub, Jira, Zendesk, and Asana, allowing them to read, modify, and take action across the entire technological landscape as if they were a part of the team. This seamless integration ensures that teams can focus on higher-level tasks while the AI handles the more mundane aspects of their workflow.

Vellum is an intelligent personal assistant platform that automates daily tasks and enhances productivity across multiple devices and applications. It enables users to create a unified assistant that works across web apps, macOS, iOS, and command-line interfaces. The platform can manage tasks such as cleaning inboxes, summarizing conversations, scheduling events, and handling communications. Vellum assistants are designed with persistent memory, allowing them to learn user preferences, routines, and working styles over time. This memory system helps deliver more personalized and context-aware assistance. The platform integrates with tools like Slack, email, Telegram, and other communication channels for seamless workflow management. Vellum also supports task automation such as app development, meeting coordination, and real-time updates. It prioritizes security by storing credentials in secure environments like local keychains or isolated vaults. Users maintain full control over permissions and how much autonomy their assistant has. The system ensures that personal data is not used as training data, preserving user privacy. Vellum helps users save time and focus on high-value activities by automating routine processes.

Wingman enables e-commerce platforms to connect consumers with product specialists for live one-on-one consultations, allowing shoppers to make informed purchase decisions in mere moments. Rather than leaving customers to navigate static product pages or limited text-based support, Wingman enhances a store's existing customer service tools by introducing proactive shopping assistance. The platform features a selection of vetted experts who can field product inquiries, clarify features, offer recommendations, and assist customers in making the right selection for their needs. Designed to foster interactivity, it aims to boost conversion rates, facilitate upselling and cross-selling opportunities, and minimize returns by providing tailored, personal support before a purchase is finalized. Wingman transcends the constraints of text communication through one-way video calls, enabling experts to respond to queries, elucidate features, or demonstrate products live, all while keeping the customer's camera off by default. Additionally, the co-browsing feature allows experts and shoppers to synchronize their browsing experience, working collaboratively to discover the ideal product tailored to the customer's preferences. This innovative approach not only enhances the shopping experience but also builds customer confidence in their purchasing decisions.

WorkClaw is an advanced AI-driven platform designed to enhance collaboration, ensure security, and facilitate productive work throughout an organization. It provides teams with customizable AI assistants known as WorkClaws, which are capable of completing real tasks, functioning around the clock in the cloud, and integrating seamlessly with the tools that teams are already accustomed to using. Each WorkClaw operates independently with its own computing capabilities and can engage in collaboration via Slack, Teams, email, and over 3,000 applications, including popular platforms like Google Workspace, Notion, Salesforce, and Asana, among others. Teams have the flexibility to create multiple WorkClaws quickly, assign them to specific individuals or entire groups, and incorporate them into Slack channels for direct messaging by coworkers. These intelligent assistants can support a variety of tasks such as research, organizing schedules, drafting correspondence, managing follow-ups, generating reports, and handling data entry, among other essential workflows. When a WorkClaw encounters a task it is unfamiliar with, teams can easily develop new skills through simple conversations, implementing proven skill packs, adjusting them as necessary, and distributing those skills among team members for enhanced efficiency. By fostering a collaborative and adaptive work environment, WorkClaw empowers organizations to optimize their productivity and streamline processes effectively.

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

AutoClaw, developed by AutoGLM, revolutionizes the process of activating an AI agent avatar by allowing users to do so with a simple click within an IM entry point, enabling the autonomous utilization of professional tools to accomplish intricate tasks automatically in a Feishu conversation box. While it appears to be a chat interface, it serves as an Agent execution channel where a user can initiate a goal in a single dialog box, after which AutoClaw systematically breaks down the task, executes the necessary steps, and relays the results along with relevant context back to Feishu. This streamlined approach means that the task entrance is unified in one conversation instead of requiring users to navigate a configuration page or an additional task management system. Once a task is set in motion, the agent avatar persistently drives the work forward, while local tools carry out tangible actions, allowing the steps and status updates to progress seamlessly along the same path. Consequently, Feishu receives not only the ultimate outcome but also detailed context, ongoing progress, and the next point of transition. Furthermore, AutoClaw offers one-click setup for OpenClaw, compatibility with both Windows and macOS platforms, integration with instant messaging systems, swappable models, and a robust array of over 50 skills, ensuring an adaptable and efficient user experience. This versatility positions AutoClaw as a powerful tool for professionals seeking to enhance productivity and streamline workflows.

Siift is a platform that leverages artificial intelligence to enhance strategy and operations, enabling entrepreneurs to establish their businesses with greater insight, assurance, and effectiveness. By integrating established methodologies for entrepreneurship and innovation with a comprehensive contextual framework, it provides data-driven advice and a visual business canvas that connects ideas, assumptions, actions, outcomes, and metrics seamlessly. The platform operates across five key phases: Ideate, Validate, Build, Go To Market, and Scale. Users can investigate various opportunities simultaneously, pinpoint blind spots, and evaluate concepts using a consistent evidence-based approach. Additionally, it allows users to transform assumptions into well-structured research and experiments, align validated customer value with their minimum viable product (MVP) and overall product strategy, fine-tune positioning and channel strategies, and recognize barriers that may hinder growth. Furthermore, siift assesses the strength of evidence supporting claims, empowering users to make informed decisions based on actual signals instead of mere confidence or AI-generated motivations. This approach not only enhances decision-making but also fosters a more rigorous and analytical mindset among entrepreneurs.

CellCog serves as an innovative platform for integrating AI employees into various roles, allowing them to collaborate, onboard, and manage their responsibilities autonomously. Each AI employee possesses a distinct identity, complete with an email inbox, task board, dashboards, and persistent memory, all while operating under permissions that owners can customize. At the core of CellCog is the advanced super-agent, which ranked #1 on the DeepResearch Bench in July 2026 and is capable of generating research, code, dashboards, PDFs, videos, images, and spreadsheets efficiently. In addition to its employee capabilities, CellCog offers interactive chat modes, access to a desktop for collaborative work, a Chrome extension for browser tasks, over 1,000 tool connectors, and a Python SDK for further integration. New users can kick off their experience with 200 complimentary credits upon signup, with no credit card required; typically, a full-time AI employee costs between $500 and $1,000 per month, with a usage fee of around $25 per shift. Designed specifically for small to medium-sized businesses and solo entrepreneurs, this platform provides an effective solution for replacing costly specialist work that often exceeds $5,000 per month. By streamlining operations and reducing overhead costs, CellCog empowers businesses to harness the full potential of AI in their daily functions.

AutoGLM serves as an exceptional report assistant that efficiently retrieves high-quality information through advanced search techniques and professional website extraction, enabling the automatic generation of structured research reports and the creation of deliverables like PowerPoint presentations and web pages with just a single click. This tool is founded on the principle that a single sentence can yield various forms of multimodal content, achieving state-of-the-art performance in diverse applications such as AI-driven PPT creation, video production, podcast development, web page construction, and digital human content generation. By streamlining the process for analysts drafting reports, content creators producing media, or anyone needing to transform intricate information into organized outputs, AutoGLM significantly reduces the need for manual searching, copying, structuring, and formatting tasks. It also features Agent web automation, which expands its capabilities beyond mere question answering to include executing tasks on websites and completing comprehensive online workflows. Furthermore, AutoGLM's versatility ensures it can cater to a wide range of user needs, making it an invaluable tool in today's fast-paced information landscape.

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.

Aidan serves as an innovative platform designed to develop AI-driven employees capable of managing live customer calls on a large scale, employing real-time browser engagement and advanced computer vision technology. It integrates a constantly evolving context graph that encompasses a company’s products and optimal communication strategies with the capability to manipulate software during interactions. By utilizing real-time computing, Aidan can actively showcase workflows rather than merely explaining them, and its vision system enables a pixel-level guided experience for customers as they navigate the product. Organizations can enhance Aidan’s functionality by sharing recordings of their top sales conversations, insights from internal specialists, and promotional content, allowing them to modify its appearance, tone, and behavior to align with their brand identity. Furthermore, Aidan has the ability to initiate product demonstrations and qualification processes without requiring additional integrations, gradually increasing its expertise as it encounters more customer interactions, thus enriching its context graph continuously. This ongoing evolution fosters a more personalized and effective customer experience over time.

Claude Cowork is an AI-powered productivity platform that autonomously handles knowledge work tasks across local files, applications, and business documents. Built for non-technical users, the platform allows professionals to delegate complex workflows such as document preparation, research synthesis, data extraction, and file organization without needing technical expertise or manual prompt engineering. Claude Cowork navigates multiple information sources, processes large volumes of content, and delivers structured outputs while maintaining human oversight for important decisions. Its desktop-based approach enables seamless interaction with the tools and files employees already use, helping organizations improve efficiency, reduce administrative workloads, and accelerate decision-making.