labring/FastGPT
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, letting you easily develop and deploy complex question-answering systems without the need for extensive setup or configuration. observed · 2026-10-20
Health v2 · maintenance only
94/100
- Activity 100
- Release rhythm 87
- Longevity 95
Flags: no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.
- gap_med: 2
- age_days: 1335
- days_rel: 11
- days_push: 1
- n_releases_24m: 148
Adoption not part of the score
29869 stars · 7339 forks observed · 2026-10-20
What it is AI-extracted, prompt v1, taxonomy v1, 2026-10-05, confidence 0.93
FastGPT is an open‑source AI agent building platform that combines knowledge‑base retrieval, RAG, and visual workflow orchestration. It lets developers and business users create, debug, and deploy complex LLM‑powered applications with minimal configuration.
Use cases
- Build a customer‑support chatbot that answers queries using an internal knowledge base.
- Create a sales‑assistant that retrieves product data and generates personalized recommendations.
- Design a multi‑step workflow that extracts data from PDFs, runs it through an LLM, and stores results in a database.
- Deploy an AI‑driven ticket routing system that classifies and forwards support tickets automatically.
- Set up an internal Q&A portal that continuously syncs with corporate documents and wikis.
When to choose
- You need a ready‑made UI for building LLM agents without writing extensive code.
- Your project requires RAG capabilities combined with custom workflow logic.
- You want a self‑hosted solution that can run on Docker or in a cloud environment.
- You need enterprise features such as SSO, RBAC, and audit logging out of the box.
When to avoid
- You only need a lightweight library for calling LLM APIs from a script.
- Your deployment target is a constrained edge device with no Docker support.
- You require fine‑grained control over the underlying inference engine beyond the provided integrations.
Facets
application · maturity active
api-framework web-framework search-engine agent-framework artificial-intelligence large-language-models chatbots browser self-hosted cloud low-code visual-workflow knowledge-base enterprise open-source retrieval-augmented-generation devops nodejs docker
6 sources
- readme: https://github.com/labring/FastGPT · fetched 2026-10-20 · 9488af3a36bc
- homepage: https://fastgpt.io · fetched 2026-09-21 · 9a5a9eded0bb
- site_page: https://doc.fastgpt.io/docs/introduction · fetched 2026-09-21 · 1f6f966cc6a0
- site_page: https://doc.fastgpt.io/ · fetched 2026-09-21 · 1f6f966cc6a0
- site_page: https://fastgpt.io/faq · fetched 2026-09-21 · d7b06a787552
- site_page: https://fastgpt.io/price · fetched 2026-09-21 · 2a91ce4ac5ba
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| labring/FastGPT | main | 94 |
For agents
Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem