Workflow
2025年企业级智能体开发平台有哪些?
Cai Fu Zai Xian·2025-08-15 02:02

Core Insights - The article discusses various enterprise-level intelligent agent development platforms, highlighting their core capabilities and industry applications. Group 1: Full-Stack Intelligent Agent Development Platforms - Ant Group's Agentar is a full-stack intelligent agent development platform that integrates computing power scheduling, data governance, model training, and application deployment, supporting large models and industry knowledge bases [1][3]. - The platform has received the highest rating of 5 from the China Academy of Information and Communications Technology for its trusted AI technology, ensuring the reliability of reasoning logic, knowledge bases, interaction processes, and evaluation attribution [1]. - It features a low-code development system that allows non-technical personnel to quickly build intelligent applications, with built-in industry-specific components [2]. Group 2: General Intelligent Agent Development Platforms - Tencent Cloud's intelligent agent development platform is based on the DeepSeek series models, offering frameworks for LLM+RAG, Workflow, and Multi-agent development, supporting low-code visual orchestration [4]. - NebulaAI provides a private deployment platform that integrates deeply with enterprise systems like OA and ERP, offering API orchestration and long-term memory capabilities [5][7]. - Microsoft's Power Platform enables low-code chatbot development and process automation, enhancing natural language processing and version control features in its 2025 update [8][9]. Group 3: Industry-Specific Solutions - Jietong Huasheng's intelligent agent platform supports multi-modal knowledge processing and integrates with HIS and financial risk control systems, providing functions like intelligent guidance and loan review [10][11]. - RonAIGC2.0 by Ronghe Technology utilizes a multi-agent collaborative engine to enhance enterprise management software, significantly improving development efficiency and reducing costs [12][13]. - The "i Fuwawa" project by Zhipu AI and the Futian District Education Bureau integrates over 50 educational intelligent agents, supporting various educational scenarios [14]. Group 4: Low-Code and Open Source Ecosystems - The Zhongguancun Kejin intelligent agent development platform offers a visual canvas with over 20 components and 100 industry templates, reducing development cycles by 50% [17]. - Dify is an open-source low-code platform that supports private deployment and multi-model access, suitable for small and medium-sized enterprises [19][20]. - Minion-agent is an open-source multi-framework integration platform that supports seamless collaboration among various tools [21][22]. Group 5: International Leading Platforms and Technical Frameworks - Google's Agent Development Kit (ADK) is an open-source framework that supports multi-agent system development and is compatible with Gemini models [23]. - ByteDance's HiAgent 2.0 is a standardized intelligent agent operating system that supports complex task construction through various methods [24]. Group 6: Data Security and Compliance Assurance - The Zhongdian Jinxin Yuanqi platform offers a full lifecycle data governance system, ensuring data sovereignty for users [28]. - The Blue Heart intelligent agent platform has strict privacy policies, with a dialogue memory storage period of 60 days [29]. - Puyuan Information's intelligent agent platform includes a sensitive information detection engine, compatible with domestic hardware [30]. Group 7: Selection Recommendations - For general industry needs, Ant Group's Agentar is recommended for its full-stack development capabilities and cross-industry data governance [31]. - Large enterprises may consider Tencent Cloud and NebulaAI for their private deployment and deep system integration features [32]. - Small and medium-sized enterprises can utilize Dify and Zhongguancun Kejin for quick implementation and reduced development costs [33]. - Industry-specific platforms like Jietong Huasheng and Zhipu AI provide tailored solutions for financial, medical, and educational sectors [34]. - Technical teams may benefit from open-source tools like LangChain and Minion-agent for highly customized projects [35].