List of the Top AI Agents for Feishu in 2026

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.

AnyModelBot is an innovative AI agent application that prioritizes a local-first approach, catering to users who desire a customizable and persistent assistant for their personal computers, whether running on Windows, macOS, or Linux. This versatile tool allows users to develop bots with unique personalities, models, workspaces, and local memory, enabling interaction through the app or associated messaging platforms. The bots are equipped with the ability to read and write files, execute commands, manage background processes, and comply with scheduled rules, while also overseeing desktop functions with adjustable permissions and confirmation prompts for tasks that exceed their designated workspace. Supporting various model providers via the Modelflare system, the application charges for model usage based on tokens rather than imposing a subscription fee for AnyModelBot. Furthermore, it can be installed in a Docker environment on a server, providing a local web console for convenient remote access. Conversations, memory, files, and credentials remain securely stored on the user's device, with model requests being channeled through Modelflare to connect with the selected provider. By offering a wide range of robust features, AnyModelBot empowers users to personalize their AI experience, ensuring it aligns perfectly with their unique needs and preferences. This adaptability makes it an exceptional choice for anyone looking to enhance their productivity through tailored AI solutions.

Buda stands out as a groundbreaking platform designed for cloud-native AI agents, allowing businesses to create and oversee complete "AI companies" that feature autonomous agents capable of performing tasks instead of just providing responses. It empowers users to craft customized AI agents for a variety of roles, such as coding, sales, marketing, finance, and operations, which can work concurrently, cooperate, and handle real workflows like lead generation, code development, customer relationship management, and report generation. The platform includes a built-in workspace that provides agents with necessary tools such as a browser, terminal, file system, and version control, enabling them to execute actions in a systematic and transparent manner, contrary to conventional black-box chatbots. A notable aspect of Buda is its continuous “Drive,” which allows agents to maintain memory, documents, and contextual details across multiple sessions, promoting a learning process that lets them adapt and enhance their performance over time rather than resetting with each new interaction. This capacity for adaptability and teamwork not only increases the effectiveness of AI implementations in organizations but also positions Buda as a vital asset in the rapidly changing field of artificial intelligence. Furthermore, by facilitating seamless integration and collaboration among various agents, Buda ensures that organizations can maximize their operational efficiency and achieve greater innovation in their processes.

DS Bot functions as a versatile desktop application and a plugin for DeepSeek Harness, aimed at managing a team of active AI bots. Each bot comes with its own unique model, profile, permissions, and memory capabilities, enabling them to operate effectively in both private conversations and group discussions. A designated primary bot serves as the team leader, responsible for delegating tasks and breaking down larger projects into smaller, more manageable phases. Users can seamlessly integrate MCP servers and skills, connect diverse services such as GitHub and Gmail, and link their bots to widely-used messaging platforms including Telegram, WeChat, Feishu, DingTalk, WeCom, QQ, Discord, or Slack. Furthermore, command-line tools for local coding agents are also capable of functioning as bots within this framework. The application comes equipped with controls for computer usage and mandates approval for sensitive actions, thereby bolstering security measures. Additionally, the bots possess the ability to create and modify documents in Word, PowerPoint, and Excel; however, certain functionalities related to file generation and rendering require the desktop application or DeepSeek Harness Desktop for optimal operation. Remarkably, DS Bot is open-source and supports multiple operating systems, including Windows, macOS, and Linux, while also facilitating Docker deployment for enhanced versatility across various environments. As a final note, users should be aware that utilizing certain models and third-party services may incur additional costs, making it essential to evaluate the overall expenses beforehand.

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.

EasyClaw is an intuitive desktop application that simplifies the setup and use of the OpenClaw autonomous AI agent stack on your personal computer, removing the necessity for DevOps knowledge, programming skills, Docker familiarity, or complicated configurations, and includes a straightforward one-click installation process along with a user-friendly graphical interface for rapid deployment on various popular messaging platforms. Once installed, EasyClaw takes care of the OpenClaw runtime and effortlessly links your AI agents, such as ClawdBot and MoltBot, to messaging services like WhatsApp, Telegram, Signal, and iMessage, enabling you to engage with your assistant using natural language through familiar platforms. By operating locally on your device, EasyClaw ensures that all actions are kept private and secure, while also empowering the AI agent to perform a multitude of tasks, including managing your emails, summarizing documents, setting reminders, translating conversations in real time, comparing prices, and streamlining personalized workflows, all without the need for cloud solutions. This extensive range of capabilities not only boosts productivity but also helps users organize their daily activities more effectively in a safe and efficient manner. With EasyClaw, you can enjoy the benefits of advanced AI assistance right from the comfort of your own home or office.