FastGPT

Overview

FastGPT is a new-generation enterprise-grade AI Agent building platform. It provides visual workflow orchestration, an ultra-easy-to-use AI knowledge base, and innovative RAG retrieval technology, backed by a powerful template ecosystem that makes building robust AI applications as easy as assembling blocks. Designed for enterprise administration and HR, operations and customer service, and development engineers, it solves frontline work problems.

Core capabilities

Visual workflow builder

Build complex data flows and task automation processes by dragging and connecting nodes—no coding required.

Ecosystem integration

Seamlessly connect leading domestic and international apps and services (e.g., Feishu, DingTalk, WeCom, databases) to break data silos and enable data interoperability.

Prebuilt AI components

Out-of-the-box AI nodes (e.g., AI chat, knowledge base search, question classification, document parsing) let you embed intelligence into business processes easily.

Enterprise knowledge base

Turn internal documents, databases, and APIs into knowledge bases that provide accurate, reliable information for AI apps and improve decision quality.

Mainstream model support

Connect leading models like ChatGPT, Claude, DeepSeek, and Ernie Bot to experience cutting-edge AI capabilities.

Intent recognition in conversations

Chatbots select workflows by intent, handle user-system interactions, and confirm processes, with fallback intent detection.

Automated content scraping

One-stop content processing for information collection, format conversion, and trend tracking—including web scraping, Markdown-to-file, hot-list data, text extraction, and Base64 encode/decode.

Powerful toolbox & extensions

Built-in code runner, HTTP requests, conditionals, batch execution, and MCP-based extension points, so you can handle complex business logic.

Team collaboration and asset management

Team spaces, shared workflows, and unified asset management (knowledge bases, variables) for enterprise-grade collaboration and automated operations.

Use cases

Build enterprise intelligent customer service bots that automatically answer common questions

Create an internal knowledge management assistant for quickly searching technical documents

Develop automated data processing pipelines for batch content review

Build a personalized learning assistant that recommends study materials based on user questions

Integrate into e-commerce platforms as an intelligent shopping guide to recommend products and answer questions

Create a code generation tool that automatically writes code from natural language descriptions

Implement multi-turn dialogue applications that use memory to handle complex tasks

Build a data report generator that queries databases and produces visual reports