FastGPT

Description

FastGPT is an open-source AI agent platform built by Labring/Sealos. The homepage calls it an 'Enterprise AI Productivity Engine' that lets you 'Build secure, controllable enterprise-grade AI Agents' and 'Build AI agents for your business like stacking blocks.' Its README states 'FastGPT is a knowledge-based platform built on the LLMs, offers a comprehensive suite of out-of-the-box capabilities such as data processing, RAG retrieval, and visual AI workflow orchestration.' RAG is the centre of gravity: documented features include '混合检索 & 重排' (hybrid retrieval and rerank), multi-knowledge-base reuse and mixing, and broad file-format ingestion (txt, md, html, pdf, docx, pptx, csv, xlsx). The platform exposes a '规划 Agent 模式' (Planning Agent mode), workflow and plugin workflows with basic RPA nodes, and '双向 MCP' (bidirectional MCP).

Solution

A FastGPT app is a visual workflow on a Flow canvas. Conversation workflows and plugin workflows are first-class app types, both composed of typed nodes (LLM, knowledge-base search, tool/plugin, conditional/code, RPA). Knowledge bases are uploaded, automatically structured and queried via hybrid retrieval with reranking; multiple bases can be reused and mixed inside one workflow. A '规划 Agent 模式' (Planning Agent mode) places an LLM-driven planner over tools and knowledge nodes. Tools and external integrations are pluggable via bidirectional MCP — FastGPT can call external MCP servers and publish workflows as MCP endpoints.

Primary use cases

• enterprise knowledge-grounded chat (RAG over uploaded documents)
• low-code workflow orchestration with plugin and RPA nodes
• agent-style planning over knowledge bases and tools
• bidirectional MCP — consume external MCP tools and expose FastGPT workflows as MCP
• self-hosted on-prem deployment (FastGPT Open Source License)