Feishu Integrations

ShareCRM is an all-in-one, AI-powered enterprise CRM platform designed to drive growth through connected data and intelligent automation. It brings marketing, sales, and service functions together to manage the entire customer journey from first contact to long-term retention. The platform supports omnichannel marketing automation, allowing businesses to coordinate campaigns across digital and offline channels. Sales teams benefit from centralized lead management, configurable pipelines, CPQ capabilities, and integrated payment and ERP workflows. ShareCRM also delivers robust service automation, enabling efficient handling of customer inquiries, service orders, vendor coordination, and expense settlement. Built-in collaboration tools improve communication through chats, calendars, tasks, and approval workflows. AI capabilities generate insights, predictions, and personalized content to improve conversions and service quality. Advanced business intelligence dashboards provide deep visibility into marketing, sales, service, and partner performance. The low-code PaaS architecture allows organizations to customize data models, processes, and interfaces with minimal technical effort. ShareCRM supports deployment across multiple industries and niche segments, offering proven scalability and flexibility. With a global presence and thousands of enterprise customers, the platform is designed for complex, growing organizations. Overall, ShareCRM helps businesses streamline operations, improve collaboration, and achieve predictable revenue growth.

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.

CrashSight from Tencent WeTest is a cross-platform crash and exception management platform for game development teams. It detects crashes, ANRs, script errors, and OOM issues across iOS, Android, Windows, Linux, PlayStation, Xbox, and Nintendo Switch, classifying them into trackable issues with occurrence counts, device metrics, and trends. Native integration with Unreal Engine, Unity, and Cocos via lightweight SDK plugins, plus a C interface for proprietary engines. SDK is 1.2 MB on Android, 1 MB on iOS, under 2.7 MB runtime memory, integrable in two hours. Crash reports include error stacks, trace logs, register info, loaded libraries, and system logs. Gaming-specific capabilities: — OOM detection via app runtime state machine analysis with device-specific memory thresholds, identifying crashes invisible to conventional tools — Emulator and cloud gaming recognition at 10-15% higher accuracy with separate statistics for real devices and emulators — 15x faster stack restoration through .stif symbol table format — Behavioral sequence analysis via LCS to identify patterns before crashes — Country/region statistics and custom scene-based crash rate monitoring Real-time dashboard updated every 10 minutes, automated feature analysis with customizable rules, version-to-version quality comparison, user/device timeline tracking, search across 20+ dimensions including device model, OS, GPU, region, and custom fields. Integrates with Jira, TAPD, Slack, DingTalk, Feishu, email, webhooks. OpenAPI for custom integrations. Deployed in the US, Singapore, Shanghai with data residency compliance. Monitors 200M+ DAU. WeTest is certified under SOC 2 Type 2, ISO/IEC 27001:2013, ISO 9001:2015, ISO/IEC 20000-1, CMMI Maturity Level 3, and TMMI Maturity Level 3.

Datus represents a cutting-edge solution for data engineering and analytics that leverages artificial intelligence to establish a cohesive business context layer throughout an organization's existing data framework. By employing the Datus Agent, the platform can thoroughly examine warehouse structures, SQL queries, ETL scripts, and relevant business documents to create semantic models that effectively connect business concepts, metrics, and their corresponding source data. Teams can then assess the suggested definitions and SQL results, utilizing DOSI to verify model compatibility and transform queries into native SQL customized for different data sources. Datus supports a variety of interfaces, including a web-based Studio, a local command-line agent, and various APIs like REST, Python SDK, and MCP, all designed to meet the diverse requirements of analytics professionals, data engineers, and artificial intelligence systems. Among the numerous tasks that Datus facilitates are data exploration, semantic modeling, controlled text-to-SQL generation, metric querying, SQL development, and advanced data engineering suitable for production environments. The platform is designed for effortless integration with current warehouses and model providers, negating the necessity for data migration, thus simplifying the implementation process for organizations. This capability not only boosts operational efficiency but also equips teams to leverage their data in a more impactful manner, fostering a culture of data-driven decision-making across the organization. Ultimately, Datus aims to transform how businesses interact with their data landscapes, ensuring they remain competitive in a rapidly evolving digital environment.

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.

Bika.ai is a cutting-edge AI automation database platform that aids users in effectively organizing their everyday activities, generating reports, and gathering information. By freeing up your time from tedious tasks, it allows you to enjoy more meaningful experiences in your life. In contrast to conventional AI systems that necessitate user interaction to perform functions, Bika.ai operates as a proactive assistant, providing reminders and delegating tasks without requiring explicit instructions. It streamlines various responsibilities based on a predetermined schedule, boosting productivity for both individuals and teams. The platform enhances workflow with its advanced proactive automation capabilities, removing the need for constant communication with the AI. Furthermore, Bika.ai adeptly handles repetitive tasks across multiple sectors, including marketing and sales, empowering you to focus on more strategic goals. It systematically collects, tracks, and manages millions of sales leads, ensuring you can engage with prospective clients efficiently. In essence, Bika.ai transforms the work experience, making it an indispensable partner in any professional environment, and its innovative approach to automation is set to redefine efficiency in the workplace.

Apache DevLake, currently in its incubation phase, integrates, assesses, and visualizes a variety of data from numerous DevOps tools to derive insights that foster engineering excellence. In the software development landscape, data is frequently dispersed across different platforms and silos. DevLake effectively bridges these divides, providing a comprehensive view of your Software Development Life Cycle (SDLC). The platform effortlessly implements metrics ranging from DORA to scrum retrospectives, featuring preconfigured dashboards that align with popular frameworks and objectives. It is designed to support teams of varying sizes and structures, while also allowing for the incorporation of additional data sources, metrics, and dashboards through its flexible data collection and transformation framework. Users can easily choose, adjust, and schedule data synchronization from preferred sources using the intuitive configuration interface. By exploring pre-built dashboards tailored for diverse use cases, you can harness metrics to improve your engineering processes effectively. Furthermore, you have the ability to create custom metrics and dashboards using SQL, broadening the potential applications of DevLake. This adaptability guarantees that DevLake can grow alongside the evolving needs of your team and the dynamic demands of the software development industry, making it an essential tool for continuous improvement. Embracing such a versatile platform can significantly enhance collaboration and efficiency within your development workflows.

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.

Schedly is an innovative, AI-powered scheduling solution that aims to transform how individuals and organizations manage their time. Unlike basic scheduling applications, Schedly operates as an independent virtual administrative assistant. Leveraging sophisticated AI algorithms, it quickly evaluates complex meeting requirements, ensuring clients are matched with the most appropriate team member based on factors such as availability, department, or specific prioritization needs. With extensive, integrated calendar support across major platforms, Schedly eliminates scheduling conflicts effectively. Its AI-driven assistant handles numerous tasks, including smart time zone detection, adjusting buffer times between work periods, and modifying availability based on real-time workload fluctuations. To further improve attendance, Schedly features predictive automated workflows that send personalized SMS and email reminders, significantly decreasing the chances of missed meetings. By taking this forward-thinking approach, Schedly not only simplifies the scheduling process but also encourages enhanced communication and increased productivity among team members. This ensures that everyone involved can focus on their core responsibilities without the hassle of managing their calendars manually.

DS Bot serves as both a desktop application and a plugin for DeepSeek Harness, designed to oversee a team of ongoing AI bots. Each individual bot is equipped with its own model, profile, permissions, and memory capabilities, allowing them to function in both private and group chat settings. A primary bot takes on the role of team coordinator, managing task delegation and structuring larger projects into manageable stages. Users have the ability to integrate MCP servers and skills, connect various services like GitHub and Gmail, and link their bots to popular messaging platforms such as Telegram, WeChat, Feishu, DingTalk, WeCom, QQ, Discord, or Slack. Additionally, local coding-agent command-line tools can also operate as bots within this framework. The application incorporates computer usage controls and requires approval for sensitive actions to enhance security. Moreover, bots are capable of creating and editing documents in Word, PowerPoint, and Excel; however, certain features related to file generation and rendering necessitate either the desktop app or DeepSeek Harness Desktop to function properly. Notably, DS Bot is open source and compatible with Windows, macOS, and Linux operating systems, while also offering support for Docker deployment, making it versatile for various environments. It is important to note that the utilization of models and third-party services may involve additional fees.

ZCode operates as an Agentic Development Environment that incorporates GLM-5.2 into streamlined coding processes, effectively combining sophisticated AI agents with current tools to empower developers to plan, code, review, and deploy while encountering minimal disruptions. Designed for comprehensive context and protracted coding projects, it assists users in moving from grasping requirements to implementation, assessment, and review all within a cohesive and stable desktop interface. The ZCode Agent acts as the primary self-developed agent framework, providing extensive integration with various components such as tasks, models, permissions, file references, execution modes, Git branch statuses, and commit methods, making it an optimal solution for everyday development activities, project segmentation, multi-file editing, debugging, testing, project overviews, and ongoing project management. Leveraging the robust features of GLM-5.2, ZCode guarantees that objectives, files, terminal outputs, browser environments, execution modes, and Git states are consistently held together within the same task, allowing intricate work to advance smoothly without losing momentum. This comprehensive strategy not only boosts productivity but also cultivates a more effective coding environment, empowering developers to concentrate on creativity and innovation. Such an ecosystem encourages collaboration among team members, facilitating shared learning and collective problem-solving as they navigate complex coding challenges.

Oh!Mate is a cutting-edge AI-powered desktop workspace designed specifically for efficient document management tasks. Users can create a dedicated workspace for any client, project, or assignment, gathering crucial source files, communications, outputs, and reusable skills all in one convenient place. The AI agent embedded in Oh!Mate excels at processing approved documents, composing and fine-tuning text, extracting essential information, and producing spreadsheets, reports, presentations, and content appropriate for various platforms. Prior to executing any sensitive actions, users can evaluate the agent's proposed strategies, tool choices, file adjustments, and permission requests. The resulting output files are carefully organized in the designated workspace folder, keeping them distinct from the original source materials. Oh!Mate is compatible with Windows, macOS, and Linux, and is currently in an internal beta testing phase. Costs incurred while utilizing the platform and its associated cloud services are deducted from a prepaid account balance that reflects actual usage. This workspace proves to be invaluable for both individuals and teams involved in the management of office documents, project-related content, research tasks, and routine content generation efforts. Additionally, Oh!Mate prioritizes boosting productivity by optimizing workflows and fostering better collaboration among team members, making it an essential tool in modern work environments.

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.