DeerFlow vs Khoj

Short answer

DeerFlow: ByteDance's open-source super-agent harness for deep research, reports and multi-step tasks with sandboxes. Khoj: Personal and team AI "second brain" for your documents and the web. Both are in our AI search & research assistants category.

Choose DeerFlow if you want: fewer license conditions (Permissive vs Network copyleft (AGPL)) and larger community (84.5k vs 37.9k GitHub stars).

Khoj 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

DeerFlow vs Khoj side by side

DeerFlowKhoj
CategoryAI search & research assistantsAI search & research assistants
What it isByteDance's open-source super-agent harness for deep research, reports and multi-step tasks with sandboxes.Personal and team AI "second brain" for your documents and the web.
LicenseMITAGPL-3.0
License typePermissiveNetwork copyleft (AGPL)
License conditionsPermissive. Internal and commercial use allowed; keep the license notice.Free for internal and commercial use. If you modify Khoj and let users interact with it over a network, you must offer them the modified source code under AGPL-3.0.
StatusActiveActive
GitHub stars84.5k37.9k
Last commitOct 28, 2026Aug 2, 2026
Latest releasev2.1.02.0.0-beta.28
Minimum hardware8 vCPU · 16 GB RAM · 40 GB diskNot published
Recommended hardware16 vCPU · 32 GB RAMNot published
RAM measured by usNot tested yetNot tested yet
GPUNot required / not statedOnly for offline chat with local models. 16 GB VRAM recommended; an NVIDIA/AMD GPU or an Apple M1+ machine speeds up responses significantly.
Est. server costfrom €69.99/mo (recommended spec: €130.49/mo)Not estimated
Deploy methodDocker Compose (via make)Docker Compose
Known gotchas4 listed2 listed
TelemetryNot documentedOn by default
Calls home by defaultNot documentedNot documented
SSO (OIDC / SAML / LDAP)Not documentedNot documented
Audit logNot documentedNot documented
RBACYes, freeNot documented
DetailsFull DeerFlow guide →Full Khoj guide →

Key differences

  • License: DeerFlow: MIT (Permissive). Khoj: AGPL-3.0 (Network copyleft (AGPL)).
  • Official hardware: DeerFlow: minimum 8 vCPU · 16 GB RAM · 40 GB disk (recommended 16 vCPU · 32 GB RAM). Khoj: not published.
  • GPU: DeerFlow: not required or not stated. Khoj: optional / see notes.
  • Est. server cost: DeerFlow: from €69.99/mo. Khoj: not estimated (no official RAM figure).
  • Deploy: DeerFlow: Docker Compose (via make) · multi-container stack. Khoj: Docker Compose · multi-container stack.
  • GitHub stars: DeerFlow: 84.5k. Khoj: 37.9k.
  • Last commit: DeerFlow: Oct 28, 2026. Khoj: Aug 2, 2026.
  • Latest release: DeerFlow: v2.1.0 (Sep 24, 2026). Khoj: 2.0.0-beta.28 (Mar 26, 2026).

Same for both: Category: AI search & research assistants; Status: Active.

DeerFlow vs Khoj: FAQ

DeerFlow or Khoj: which should a small business choose?

Choose DeerFlow if you want: fewer license conditions (Permissive vs Network copyleft (AGPL)) and larger community (84.5k vs 37.9k GitHub stars). Khoj publishes no official RAM figure, so we cannot compare hosting cost directly.

Which is cheaper to self-host, DeerFlow or Khoj?

DeerFlow: from €69.99/mo. Khoj: 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 DeerFlow and Khoj need?

DeerFlow: minimum 8 vCPU · 16 GB RAM · 40 GB disk (recommended 16 vCPU · 32 GB RAM). Khoj: not published.

What is the license difference between DeerFlow and Khoj?

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

Is DeerFlow or Khoj more actively maintained?

DeerFlow: Active, last commit Oct 28, 2026. Khoj: Active, last commit Aug 2, 2026. GitHub data refreshed Oct 28, 2026.

Which is easier to deploy, DeerFlow or Khoj?

DeerFlow installs via Docker Compose (via make) (multi-container stack); Khoj via Docker Compose (multi-container stack). DeerFlow lists 4 known gotchas and Khoj 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.