Karakeep vs PrivateGPT

Short answer

Karakeep: Self-hosted bookmark and read-later app (formerly Hoarder) with AI tagging, summaries and full-text search. PrivateGPT: API-first private document Q&A that sits on top of your own LLM server. Both are in our Knowledge base & RAG category.

Choose PrivateGPT if you want: fewer license conditions (Permissive vs Network copyleft (AGPL)) and larger community (57.6k vs 30.2k GitHub stars).

Karakeep and PrivateGPT publish 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

Karakeep vs PrivateGPT side by side

KarakeepPrivateGPT
CategoryKnowledge base & RAGKnowledge base & RAG
What it isSelf-hosted bookmark and read-later app (formerly Hoarder) with AI tagging, summaries and full-text search.API-first private document Q&A that sits on top of your own LLM server.
LicenseAGPL-3.0Apache-2.0
License typeNetwork copyleft (AGPL)Permissive
License conditionsFree for internal and commercial use. If you modify Karakeep and let users interact with it over a network, you must offer them the modified source under AGPL-3.0.Permissive. Internal and commercial use allowed; keep license and notices.
StatusActiveActive
GitHub stars30.2k57.6k
Last commitOct 31, 2026Oct 29, 2026
Latest releasev0.34.1v1.0.1
Minimum hardwareNot publishedNot published
Recommended hardwareNot publishedNot published
RAM measured by usNot tested yetNot tested yet
GPUNo. AI tagging calls OpenAI or an Ollama server you configure.Not required / not stated
Est. server costNot estimatedNot estimated
Deploy methodDocker Composeuv (Python) or Docker
Known gotchas4 listed2 listed
TelemetryNot documentedNot documented
Calls home by defaultYes, by defaultNot documented
SSO (OIDC / SAML / LDAP)Free (OIDC free)Paid / enterprise only (LDAP paid)
Audit logNot documentedPaid / enterprise only
RBACNot documentedPaid / enterprise only
DetailsFull Karakeep guide →Full PrivateGPT guide →

Key differences

  • License: Karakeep: AGPL-3.0 (Network copyleft (AGPL)). PrivateGPT: Apache-2.0 (Permissive).
  • GPU: Karakeep: optional / see notes. PrivateGPT: not required or not stated.
  • Deploy: Karakeep: Docker Compose · multi-container stack. PrivateGPT: uv (Python) or Docker · uv (Python) or Docker.
  • GitHub stars: Karakeep: 30.2k. PrivateGPT: 57.6k.
  • Last commit: Karakeep: Oct 31, 2026. PrivateGPT: Oct 29, 2026.
  • Latest release: Karakeep: v0.34.1 (Oct 22, 2026). PrivateGPT: v1.0.1 (Jun 18, 2026).

Same for both: Category: Knowledge base & RAG; Official hardware: not published; Est. server cost: not estimated (no official RAM figure); Status: Active.

Karakeep vs PrivateGPT: FAQ

Karakeep or PrivateGPT: which should a small business choose?

Choose PrivateGPT if you want: fewer license conditions (Permissive vs Network copyleft (AGPL)) and larger community (57.6k vs 30.2k GitHub stars). Karakeep and PrivateGPT publish no official RAM figure, so we cannot compare hosting cost directly.

Which is cheaper to self-host, Karakeep or PrivateGPT?

Karakeep: not estimated (no official RAM figure). PrivateGPT: 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 Karakeep and PrivateGPT need?

Karakeep: not published. PrivateGPT: not published.

What is the license difference between Karakeep and PrivateGPT?

Karakeep: AGPL-3.0 (Network copyleft (AGPL)). Free for internal and commercial use. If you modify Karakeep and let users interact with it over a network, you must offer them the modified source under AGPL-3.0. PrivateGPT: Apache-2.0 (Permissive). Permissive. Internal and commercial use allowed; keep license and notices. This is a summary, not legal advice.

Is Karakeep or PrivateGPT more actively maintained?

Karakeep: Active, last commit Oct 31, 2026. PrivateGPT: Active, last commit Oct 29, 2026. GitHub data refreshed Nov 1, 2026.

Which is easier to deploy, Karakeep or PrivateGPT?

Karakeep installs via Docker Compose (multi-container stack); PrivateGPT via uv (Python) or Docker (uv (Python) or Docker). Karakeep lists 4 known gotchas and PrivateGPT 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.