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.
FastGPT – An Open‑Source AI‑Agent Building Platform
What it is – FastGPT is a self‑hostable web platform that lets you assemble AI agents, chat‑bots and RPA‑style workflows without writing code. It bundles data‑pre‑processing, model‑calling, knowledge‑base (RAG) support and a visual Flow editor for arranging “skills” and plugins into complex applications.
Core capabilities
| Area | What FastGPT provides |
|---|---|
| Application orchestration | Visual Flow editor; supports Agent‑Skill pipelines, conversational and plugin workflows, basic RPA nodes, two‑way multi‑channel communication (MCP). |
| Debug & testing | Single‑point knowledge‑base search test, reference feedback that can be edited/deleted during a chat, full call‑chain logs, app‑level evaluation tools. |
| Knowledge‑base (RAG) | Multiple reusable vector stores, chunk edit/delete, manual input or automatic chunking, import from TXT, MD, HTML, PDF, DOCX, PPTX, CSV, XLSX, URLs, CSV bulk import; mixed retrieval & re‑ranking; API‑exposed KB. |
| Plugins | Hot‑reload of system tools; roadmap includes hot‑reload for RAG modules, agent loops and real‑time AI generation plugins. |
| Operations | Shareable no‑login UI windows, one‑click iframe embed, unified conversation history with annotation, operational logs. |
How to get started
- One‑click Docker install – run the provided script to fetch a
docker-compose.ymland start the service:
The UI becomes available atbash <(curl -fsSL https://doc.fastgpt.io/deploy/install.sh) docker compose up -dhttp://localhost:3000(default credentialsroot / 1234). - Cloud SaaS – if you prefer not to self‑host, a hosted version is available at fastgpt.io.
- Self‑host alternatives – besides Docker you can deploy with Sealos Cloud for a one‑click cluster setup.
- Commercial edition – offers extra features and dedicated support; licensing details are linked in the docs.
Ecosystem & integrations
- FastGPT‑plugin repository for extending the platform with custom tools.
- AI‑Proxy (labring/aiproxy) – a model‑aggregation load‑balancer that FastGPT can call.
- Sealos – the underlying Kubernetes‑style deployment system used for cloud/cluster installs.
- Third‑party services such as TokenDance (unified AI API gateway) and SiliconCloud (online model demo) are listed as compatible.
Community & contribution
- Open issues and pull‑requests are welcomed; contribution guidelines are in the repo.
- A Feishu (Chinese Slack‑like) group is provided for real‑time discussion.
- Contributor statistics are displayed via OSS Insight widgets.
License – FastGPT uses the FastGPT Open Source License which permits commercial backend use but forbids offering the software as a SaaS product without a separate commercial agreement. Full terms are in LICENSE.
All information above is taken directly from the repository’s README; no external assumptions have been added.
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