AnythingLLM vs Langchain-Chatchat
Short answer
AnythingLLM: All-in-one private chat with your documents, agents and an embeddable widget. 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 AnythingLLM if you want: an actively maintained project (Langchain-Chatchat is stale), larger community (67.8k vs 38.7k GitHub stars) and simpler deploy (one container vs a multi-container stack).
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
AnythingLLM vs Langchain-Chatchat side by side
| AnythingLLM | Langchain-Chatchat | |
|---|---|---|
| Category | Knowledge base & RAG | Knowledge base & RAG |
| What it is | All-in-one private chat with your documents, agents and an embeddable widget. | Chinese-first local knowledge-base Q&A and agent app built on LangChain, wired to local model servers. |
| License | MIT | Apache-2.0 |
| License type | Permissive | Permissive |
| License conditions | Permissive. Internal and commercial use allowed; keep the copyright notice. | Permissive. Internal and commercial use allowed. Models keep their own licenses. |
| Status | Active | Stale (no commit in 180+ days) |
| GitHub stars | 67.8k | 38.7k |
| Last commit | Oct 30, 2026 | Nov 10, 2025 |
| Latest release | v1.19.0 | v0.3.1 |
| Minimum hardware | 2 vCPU · 2 GB RAM · 5 GB disk | Not published |
| Recommended hardware | Not published | Not published |
| RAM measured by us | 274 MiB idle, 915 MiB working (our test, v1.18.0, Oct 22, 2026) | 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 | Not estimated |
| Deploy method | Docker | pip (or Docker Compose with Xinference) |
| Known gotchas | 2 listed | 5 listed |
| Telemetry | On by default | Not documented |
| Calls home by default | No (documented) | Not documented |
| SSO (OIDC / SAML / LDAP) | Not documented | Not documented |
| Audit log | Not documented | Not documented |
| RBAC | Not documented | Not documented |
| Details | Full AnythingLLM guide → | Full Langchain-Chatchat guide → |
Key differences
- License: AnythingLLM: MIT (Permissive). Langchain-Chatchat: Apache-2.0 (Permissive).
- Official hardware: AnythingLLM: minimum 2 vCPU · 2 GB RAM · 5 GB disk. Langchain-Chatchat: not published.
- GPU: AnythingLLM: not required or not stated. Langchain-Chatchat: optional / see notes.
- Est. server cost: AnythingLLM: from €19.99/mo. Langchain-Chatchat: not estimated (no official RAM figure).
- Deploy: AnythingLLM: Docker · single container. Langchain-Chatchat: pip (or Docker Compose with Xinference) · multi-container stack.
- Status: AnythingLLM: Active. Langchain-Chatchat: Stale (no commit in 180+ days).
- GitHub stars: AnythingLLM: 67.8k. Langchain-Chatchat: 38.7k.
- Last commit: AnythingLLM: Oct 30, 2026. Langchain-Chatchat: Nov 10, 2025.
- Latest release: AnythingLLM: v1.19.0 (Oct 26, 2026). Langchain-Chatchat: v0.3.1 (Jul 12, 2024).
Same for both: Category: Knowledge base & RAG.
AnythingLLM vs Langchain-Chatchat: FAQ
AnythingLLM or Langchain-Chatchat: which should a small business choose?
Choose AnythingLLM if you want: an actively maintained project (Langchain-Chatchat is stale), larger community (67.8k vs 38.7k GitHub stars) and simpler deploy (one container vs a multi-container stack). Langchain-Chatchat publishes no official RAM figure, so we cannot compare hosting cost directly.
Which is cheaper to self-host, AnythingLLM or Langchain-Chatchat?
AnythingLLM: 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 AnythingLLM and Langchain-Chatchat need?
AnythingLLM: minimum 2 vCPU · 2 GB RAM · 5 GB disk. Langchain-Chatchat: not published.
What is the license difference between AnythingLLM and Langchain-Chatchat?
AnythingLLM: MIT (Permissive). Permissive. Internal and commercial use allowed; keep the copyright notice. 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 AnythingLLM or Langchain-Chatchat more actively maintained?
AnythingLLM: 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, AnythingLLM or Langchain-Chatchat?
AnythingLLM installs via Docker (single container); Langchain-Chatchat via pip (or Docker Compose with Xinference) (multi-container stack). AnythingLLM lists 2 known gotchas and Langchain-Chatchat lists 5; see each app page.
Related
- AnythingLLM self-hosting guide · Langchain-Chatchat self-hosting guide
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Sources
- AnythingLLM GitHub repository: github.com/Mintplex-Labs/anything-llm
- AnythingLLM documentation, AnythingLLM hardware requirements: docs.anythingllm.com/installation-docker/system-requirements
- AnythingLLM license: github.com/Mintplex-Labs/anything-llm/blob/master/LICENSE
- AnythingLLM deploy instructions: github.com/Mintplex-Labs/anything-llm/blob/master/docker/HOW_TO_USE_DOCKER.md
- 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.