DocsGPT vs MaxKB

Short answer

DocsGPT: Open-source platform for AI agents and assistants that answer from your documents with sources. MaxKB: Enterprise knowledge-base and agent platform with RAG and workflows. Both are in our Knowledge base & RAG category.

Choose DocsGPT if you want: fewer license conditions (Permissive vs Copyleft (GPL)).

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

DocsGPT 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

DocsGPT vs MaxKB side by side

DocsGPTMaxKB
CategoryKnowledge base & RAGKnowledge base & RAG
What it isOpen-source platform for AI agents and assistants that answer from your documents with sources.Enterprise knowledge-base and agent platform with RAG and workflows.
LicenseMITGPL-3.0
License typePermissiveCopyleft (GPL)
License conditionsPermissive. Internal and commercial use allowed; keep license and notices.Free to use internally and commercially. If you distribute a modified version, you must release its source under GPL-3.0.
StatusActiveActive
GitHub stars18.3k23.0k
Last commitOct 24, 2026Oct 21, 2026
Latest release1.0.0v2.10.8-lts
Minimum hardwareNot published4 vCPU · 8 GB RAM · 100 GB disk
Recommended hardwareNot publishedNot published
RAM measured by usNot tested yetNot tested yet
GPUNot required / not statedNot required / not stated
Est. server costNot estimatedfrom €35.99/mo
Deploy methodDocker ComposeDocker
Known gotchas4 listed2 listed
TelemetryOn by defaultNot documented
Calls home by defaultYes, by defaultNot documented
SSO (OIDC / SAML / LDAP)Free (OIDC free)Paid / enterprise only (OIDC paid · SAML paid · LDAP paid)
Audit logYes, freePaid / enterprise only
RBACYes, freePaid / enterprise only
DetailsFull DocsGPT guide →Full MaxKB guide →

Key differences

  • License: DocsGPT: MIT (Permissive). MaxKB: GPL-3.0 (Copyleft (GPL)).
  • Official hardware: DocsGPT: not published. MaxKB: minimum 4 vCPU · 8 GB RAM · 100 GB disk.
  • Est. server cost: DocsGPT: not estimated (no official RAM figure). MaxKB: from €35.99/mo.
  • Deploy: DocsGPT: Docker Compose · multi-container stack. MaxKB: Docker · single container.
  • GitHub stars: DocsGPT: 18.3k. MaxKB: 23.0k.
  • Last commit: DocsGPT: Oct 24, 2026. MaxKB: Oct 21, 2026.
  • Latest release: DocsGPT: 1.0.0 (Oct 8, 2026). MaxKB: v2.10.8-lts (Oct 22, 2026).

Same for both: Category: Knowledge base & RAG; GPU: not required or not stated; Status: Active.

DocsGPT vs MaxKB: FAQ

DocsGPT or MaxKB: which should a small business choose?

Choose DocsGPT if you want: fewer license conditions (Permissive vs Copyleft (GPL)). Choose MaxKB if you want: simpler deploy (one container vs a multi-container stack). DocsGPT publishes no official RAM figure, so we cannot compare hosting cost directly.

Which is cheaper to self-host, DocsGPT or MaxKB?

DocsGPT: not estimated (no official RAM figure). MaxKB: from €35.99/mo. 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 DocsGPT and MaxKB need?

DocsGPT: not published. MaxKB: minimum 4 vCPU · 8 GB RAM · 100 GB disk.

What is the license difference between DocsGPT and MaxKB?

DocsGPT: MIT (Permissive). Permissive. Internal and commercial use allowed; keep license and notices. MaxKB: GPL-3.0 (Copyleft (GPL)). Free to use internally and commercially. If you distribute a modified version, you must release its source under GPL-3.0. This is a summary, not legal advice.

Is DocsGPT or MaxKB more actively maintained?

DocsGPT: Active, last commit Oct 24, 2026. MaxKB: Active, last commit Oct 21, 2026. GitHub data refreshed Oct 24, 2026.

Which is easier to deploy, DocsGPT or MaxKB?

DocsGPT installs via Docker Compose (multi-container stack); MaxKB via Docker (single container). DocsGPT lists 4 known gotchas and MaxKB 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.