FastGPT vs Langchain-Chatchat
Short answer
FastGPT: Knowledge-base Q&A and visual AI workflow platform. Langchain-Chatchat: Chinese-first local knowledge-base Q&A and agent app built on LangChain, wired to local model servers. Both are in our Knowledge base & RAG category.
Choose FastGPT if you want: an actively maintained project (Langchain-Chatchat is stale).
Choose Langchain-Chatchat if you want: fewer license conditions (Permissive vs Custom / conditional).
Langchain-Chatchat publishes no official RAM figure, so we cannot compare hosting cost directly.
Last updated · computed from each project's official docs and live GitHub data · sources
FastGPT vs Langchain-Chatchat side by side
| FastGPT | Langchain-Chatchat | |
|---|---|---|
| Category | Knowledge base & RAG | Knowledge base & RAG |
| What it is | Knowledge-base Q&A and visual AI workflow platform. | Chinese-first local knowledge-base Q&A and agent app built on LangChain, wired to local model servers. |
| License | FastGPT Open Source License (Apache-2.0 with conditions) | Apache-2.0 |
| License type | Custom / conditional | Permissive |
| License conditions | Commercial use is allowed. You need a commercial license to run a multi-tenant SaaS similar to FastGPT, or to remove or modify the logo or copyright in the console. | Permissive. Internal and commercial use allowed. Models keep their own licenses. |
| Status | Active | Stale (no commit in 180+ days) |
| GitHub stars | 30.0k | 38.7k |
| Last commit | Oct 30, 2026 | Nov 10, 2025 |
| Latest release | v4.17.2 | v0.3.1 |
| Minimum hardware | 2 vCPU · 4 GB RAM | Not published |
| Recommended hardware | 2 vCPU · 8 GB RAM | Not published |
| RAM measured by us | Not tested yet | Not tested yet |
| GPU | Not required / not stated | Not required by the app itself. Since 0.3.0 hardware depends on the model server you connect; the docs say it can run on CPU, GPU, NPU or MPS. The Docker Compose guide pairs it with Xinference and assumes the NVIDIA Container Toolkit. |
| Est. server cost | from €19.99/mo (recommended spec: €35.99/mo) | Not estimated |
| Deploy method | Docker Compose (install script) | pip (or Docker Compose with Xinference) |
| Known gotchas | 2 listed | 5 listed |
| Telemetry | Not documented | Not documented |
| Calls home by default | Not documented | Not documented |
| SSO (OIDC / SAML / LDAP) | Paid / enterprise only | Not documented |
| Audit log | Not documented | Not documented |
| RBAC | Paid / enterprise only | Not documented |
| Details | Full FastGPT guide → | Full Langchain-Chatchat guide → |
Key differences
- License: FastGPT: FastGPT Open Source License (Apache-2.0 with conditions) (Custom / conditional). Langchain-Chatchat: Apache-2.0 (Permissive).
- Official hardware: FastGPT: minimum 2 vCPU · 4 GB RAM (recommended 2 vCPU · 8 GB RAM). Langchain-Chatchat: not published.
- GPU: FastGPT: not required or not stated. Langchain-Chatchat: optional / see notes.
- Est. server cost: FastGPT: from €19.99/mo. Langchain-Chatchat: not estimated (no official RAM figure).
- Deploy: FastGPT: Docker Compose (install script) · multi-container stack. Langchain-Chatchat: pip (or Docker Compose with Xinference) · multi-container stack.
- Status: FastGPT: Active. Langchain-Chatchat: Stale (no commit in 180+ days).
- GitHub stars: FastGPT: 30.0k. Langchain-Chatchat: 38.7k.
- Last commit: FastGPT: Oct 30, 2026. Langchain-Chatchat: Nov 10, 2025.
- Latest release: FastGPT: v4.17.2 (Oct 9, 2026). Langchain-Chatchat: v0.3.1 (Jul 12, 2024).
Same for both: Category: Knowledge base & RAG.
FastGPT vs Langchain-Chatchat: FAQ
FastGPT or Langchain-Chatchat: which should a small business choose?
Choose FastGPT if you want: an actively maintained project (Langchain-Chatchat is stale). Choose Langchain-Chatchat if you want: fewer license conditions (Permissive vs Custom / conditional). Langchain-Chatchat publishes no official RAM figure, so we cannot compare hosting cost directly.
Which is cheaper to self-host, FastGPT or Langchain-Chatchat?
FastGPT: from €19.99/mo. Langchain-Chatchat: not estimated (no official RAM figure). Our estimate is the cheapest Hetzner Cloud plan that meets each project's official RAM and vCPU figure; it covers the server only.
How much hardware do FastGPT and Langchain-Chatchat need?
FastGPT: minimum 2 vCPU · 4 GB RAM (recommended 2 vCPU · 8 GB RAM). Langchain-Chatchat: not published.
What is the license difference between FastGPT and Langchain-Chatchat?
FastGPT: FastGPT Open Source License (Apache-2.0 with conditions) (Custom / conditional). Commercial use is allowed. You need a commercial license to run a multi-tenant SaaS similar to FastGPT, or to remove or modify the logo or copyright in the console. Langchain-Chatchat: Apache-2.0 (Permissive). Permissive. Internal and commercial use allowed. Models keep their own licenses. This is a summary, not legal advice.
Is FastGPT or Langchain-Chatchat more actively maintained?
FastGPT: Active, last commit Oct 30, 2026. Langchain-Chatchat: Stale (no commit in 180+ days), last commit Nov 10, 2025. GitHub data refreshed Oct 31, 2026.
Which is easier to deploy, FastGPT or Langchain-Chatchat?
FastGPT installs via Docker Compose (install script) (multi-container stack); Langchain-Chatchat via pip (or Docker Compose with Xinference) (multi-container stack). FastGPT lists 2 known gotchas and Langchain-Chatchat lists 5; see each app page.
Related
- FastGPT self-hosting guide · Langchain-Chatchat self-hosting guide
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Sources
- FastGPT GitHub repository: github.com/labring/FastGPT
- FastGPT documentation, FastGPT hardware requirements: doc.fastgpt.io/self-host/deploy/docker
- FastGPT license: github.com/labring/FastGPT/blob/main/LICENSE
- FastGPT deploy instructions: github.com/labring/FastGPT#readme
- Langchain-Chatchat GitHub repository: github.com/chatchat-space/Langchain-Chatchat
- Langchain-Chatchat documentation: github.com/chatchat-space/Langchain-Chatchat#readme
- Langchain-Chatchat license: github.com/chatchat-space/Langchain-Chatchat/blob/master/LICENSE
- Langchain-Chatchat hardware requirements: github.com/chatchat-space/Langchain-Chatchat#0-软硬件要求
- Langchain-Chatchat deploy instructions: github.com/chatchat-space/Langchain-Chatchat#pip-安装部署
- Hetzner Cloud pricing used for cost estimates (read 2026-10-25): www.hetzner.com/cloud/regular-performance
- GitHub REST API (stars, commits, releases): docs.github.com/en/rest
Every value is generated from the same verified data as the app pages. Spotted something wrong? Tell us.