Platform Overview

An agent is an AI entity that can independently execute tasks based on user instructions or preset rules. An agent generally has certain intelligence and decision-making capabilities, and can simulate human thinking and behavior patterns to automatically complete complex operations such as information retrieval, data analysis, and task scheduling. Agents are widely used in scenarios such as customer service, automated office, and data analysis. Agents continuously improve their performance through learning and optimization to provide efficient and convenient services for users.

The agent development platform provides a complete set of tools and frameworks for creating, configuring, and managing agents. The platform supports zero-code/low-code hybrid development. You can orchestrate workflows (integrating nodes such as the LLM, knowledge retrieval, and plug-ins) on the visualized GUI to quickly configure capabilities such as intent recognition, task routing, and code execution, implementing efficient development and large-scale deployment of agents.

Zero code: Easy creation of agents

Intelligent prompt generation: The platform provides an intelligent prompt generation function. Even if you do not have a foundation in large models, you can quickly generate suitable prompts to easily guide agents to complete tasks.
Rich skill configuration: The platform provides various skill configuration options, covering knowledge bases, plug-ins, and workflows. Adding skills is as simple as building blocks. You only need to click and select skills to enable the agent to master new skills, such as accessing knowledge bases in specific domains to become experts in these domains.
Quick creation and running: The entire creation process is very simple. You can bring an agent online in a few steps. From conception to actual application, the time is greatly shortened, allowing zero-code users to quickly have their own intelligent assistants.

Low code: flexible setup of complex workflows

Visualized workflow design: The GUI encapsulates various functions into nodes, such as the large model node and intent recognition node. Developers can drag and connect nodes like a puzzle to build complex workflows. The logic is clear and visible.
Code enhancement flexibility: Code can be written between nodes, providing more customization space for developers with programming experience. For example, you can add several lines of data processing code to the code node to implement special data conversion and meet personalized requirements.

Why Agent Development Platform?

Comprehensive plug-in integration capabilities
The agent development platform continuously expands the capability boundaries of agents through a rich plug-in ecosystem. The platform presets dozens of practical plug-ins, such as file processing and code interpreter, for out-of-the-box use. It also provides open capabilities for creating custom plug-ins. Developers can encapsulate internal APIs, third-party tools, or self-developed functions into plug-ins and enable agents to invoke the plug-ins with simple parameter configuration.
Flexible knowledge base management
The platform provides an intelligent knowledge base system, which allows developers to build dedicated data asset libraries. Local documents (PDF, Doc, and PPT formats), web page data, and structured databases can be quickly imported to the knowledge base. Th agent automatically learns the data and creates indexes to implement accurate knowledge retrieval and content generation. For example, after an industry report is uploaded, the agent can automatically generate a competitive product analysis report.
Modular workflow design
The platform uses the zero-code and low-code visualized development mode, allowing developers to quickly build complex task flows by dragging and dropping nodes. It provides nearly 100 standard components, such as natural language processing, logic judgment, and code execution, to meet the development requirements from simple Q&A to multi-step tasks (for example, building an intelligent customer service workflow that includes requirement analysis, solution design, and cost accounting).
Full-link agent development support
The platform provides a complete development and debugging system, covering code compilation, plug-in testing, and workflow verification. Developers can observe each step of the agent execution in real time, view the plug-in calling result and inference process, and quickly locate problems through hierarchical log analysis (for example, tracing the dialog logic and data calling path when the intelligent customer service handles user complaints).
Flexible MCP service
MCP uses the universal standard language to supply tools and data through the MCP server (one-off development and unlimited connections). In this way, AI agents can communicate with thousands of external tools and data more efficiently and conveniently.

Platform Architecture

The agent development platform provides one-stop AI application building capabilities. The platform provides multiple capability combinations to support Agent development scenarios with different complexities.

Basic general capabilities

The agent development platform can be used by multiple tenants and managed in a unified manner. Session management and historical dialog records can be viewed. Agents can be released as APIs.

Core functional modules

Workstation: The workstation allows you to create zero-code apps, orchestrate apps through workflows, create custom plug-ins through plugin management and connect them to apps, create MCP services, and create and manage knowledge bases.
App treasure box: The app treasure box contains the AppGallery, workflow market, and external apps, and supports various out-of-the-box apps.
Plug-in market: More than 10 types of plug-ins are preset in the plug-in market, such as the file processing plug-in and code interpreter, which are out-of-the-box.
MCP service market: Multiple external MCP APIs are preset for users to easily invoke.

Applicable scenarios

The agent development platform supports multiple application scenarios:

Knowledge engineering scenarios: Knowledge bases are mounted to apply the agent development platform to professional fields such as finance and healthcare.
Dynamic planning scenarios: The agent development platform is used in scenarios such as chatbot and tool calling.
Process orchestration scenarios: The agent development platform is used in complex service scenarios through the component library and workflow orchestration.