AnythingLLM vs LibreChat

Short answer

AnythingLLM: All-in-one private chat with your documents, agents and an embeddable widget. LibreChat: Multi-provider ChatGPT-style interface with agents, file search and user management. They sit in different categories (Knowledge base & RAG and Private ChatGPT-style chat) but overlap: All of them give a team a ChatGPT-style chat interface where users can upload files and ask questions about them.

Choose AnythingLLM if you want: simpler deploy (one container vs a multi-container stack).

Choose LibreChat if you want: cheaper to host (from €6.49/mo vs €19.99/mo) and lighter official minimum (1 GB vs 2 GB RAM).

Last updated · computed from each project's official docs and live GitHub data · sources

AnythingLLM vs LibreChat side by side

AnythingLLMLibreChat
CategoryKnowledge base & RAGPrivate ChatGPT-style chat
What it isAll-in-one private chat with your documents, agents and an embeddable widget.Multi-provider ChatGPT-style interface with agents, file search and user management.
LicenseMITMIT
License typePermissivePermissive
License conditionsPermissive. Internal and commercial use allowed; keep the copyright notice.Permissive. Internal and commercial use allowed; keep the copyright notice.
StatusActiveActive
GitHub stars67.4k46.1k
Last commitOct 22, 2026Oct 22, 2026
Latest releasev1.18.0—
Minimum hardware2 vCPU · 2 GB RAM · 5 GB disk1 vCPU · 1 GB RAM
Recommended hardwareNot published2 GB RAM
RAM measured by usNot tested yetNot tested yet
GPUNot required / not statedNot required / not stated
Est. server costfrom €19.99/mofrom €6.49/mo (recommended spec: €11.99/mo)
Deploy methodDockerDocker Compose
Known gotchas2 listed2 listed
TelemetryOn by defaultNot documented
Calls home by defaultNo (documented)Not documented
SSO (OIDC / SAML / LDAP)Not documentedFree (OIDC free · SAML free · LDAP free)
Audit logNot documentedNot documented
RBACNot documentedNot documented
DetailsFull AnythingLLM guide →Full LibreChat guide →

Key differences

  • Category: AnythingLLM: Knowledge base & RAG. LibreChat: Private ChatGPT-style chat.
  • Official hardware: AnythingLLM: minimum 2 vCPU · 2 GB RAM · 5 GB disk. LibreChat: minimum 1 vCPU · 1 GB RAM (recommended 2 GB RAM).
  • Est. server cost: AnythingLLM: from €19.99/mo. LibreChat: from €6.49/mo.
  • Deploy: AnythingLLM: Docker · single container. LibreChat: Docker Compose · multi-container stack.
  • GitHub stars: AnythingLLM: 67.4k. LibreChat: 46.1k.
  • Latest release: AnythingLLM: v1.18.0 (Oct 13, 2026). LibreChat: none published.

Same for both: License: MIT (Permissive); GPU: not required or not stated; Status: Active; Last commit: Oct 22, 2026.

AnythingLLM vs LibreChat: FAQ

AnythingLLM or LibreChat: which should a small business choose?

Choose AnythingLLM if you want: simpler deploy (one container vs a multi-container stack). Choose LibreChat if you want: cheaper to host (from €6.49/mo vs €19.99/mo) and lighter official minimum (1 GB vs 2 GB RAM).

Which is cheaper to self-host, AnythingLLM or LibreChat?

LibreChat: cheaper to host (from €6.49/mo vs €19.99/mo).

How much hardware do AnythingLLM and LibreChat need?

AnythingLLM: minimum 2 vCPU · 2 GB RAM · 5 GB disk. LibreChat: minimum 1 vCPU · 1 GB RAM (recommended 2 GB RAM).

What is the license difference between AnythingLLM and LibreChat?

AnythingLLM: MIT (Permissive). Permissive. Internal and commercial use allowed; keep the copyright notice. LibreChat: MIT (Permissive). Permissive. Internal and commercial use allowed; keep the copyright notice. This is a summary, not legal advice.

Is AnythingLLM or LibreChat more actively maintained?

AnythingLLM: Active, last commit Oct 22, 2026. LibreChat: Active, last commit Oct 22, 2026. GitHub data refreshed Oct 22, 2026.

Which is easier to deploy, AnythingLLM or LibreChat?

AnythingLLM installs via Docker (single container); LibreChat via Docker Compose (multi-container stack). AnythingLLM lists 2 known gotchas and LibreChat lists 2; see each app page.

Related

Sources

Every value is generated from the same verified data as the app pages. Spotted something wrong? Tell us.