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Head to head · Local inference · October 2026 research run

Khoj vs vLLM

vLLM scores 57.7 (C) on agent readiness against Khoj's 38.5 (E), and leads in 5 of 7 scored categories. Both do local inference.

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KhojKhoj Inc. · Model platform E38.5/100#920 of 950 vLLMvLLM project (PyTorch Foundation) · HTTP API C57.7/100#600 of 950

Which one, for what

Khoj E

Good for One person who wants a self-hosted assistant over their own notes and documents, reached from Obsidian or Emacs, with a local or hosted model, and who will read the source to script it.

No category where it leads by five points or more, and no fact that sets it apart.

Watch for

No tagged release since 2.0.0-beta.28 on 26 March 2026 and no commit since 2 August

vLLM C

Good for An owner with a GPU server who wants many concurrent requests against one open-weight model behind OpenAI or Anthropic compatible routes.

Ahead on

  • Schema & documentation, 68 against 34
  • Agent ergonomics, 64 against 46
  • Security & auth, 50 against 29
  • Maintenance & community, 88 against 19
  • Transparency & trust, 67 against 60

Also in its favour

  • No key needed to call it
  • Free to start without a card

Watch for

--api-key guards only the /v1, /v2, /inference and /cohere prefixes. /invocations, /pooling, /classify, /score, /rerank, /pause and /update_weights answer without it

Score by category

CategoryWeight this runKhojvLLMEdge
Reliability16%206562Khoj +3
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.23468vLLM +34
Agent ergonomics13%16.24664vLLM +18
Security & auth14%17.52950vLLM +21
Payments & pricing10%12.56060even
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.81988vLLM +69
Transparency & trust7%8.86067vLLM +7
Negative events≤15-7-6
Total38.5 · E57.7 · C

Facts side by side

FactKhojvLLM
KindModel platformHTTP API
VendorKhoj Inc.vLLM project (PyTorch Foundation)
Hosted endpointno (local only)no (local only)
TransportsHTTPHTTP
AuthOAuth or keyNone
PricingFreeFree
x402nono
LicenceAGPL-3.0-or-laterApache-2.0
Read-only variant documentednono
llms.txtnono
Last release2026-03-262026-10-02
Terms last updated2024-06-05no document linked
Privacy policy last updatedno date givenno document linked
Customer content may train modelsnot found in the text
Terms restrict automated accessnot found in the text
Terms restrict benchmarkingnot found in the text
Terms or service can change without noticenot found in the text
Arbitration or class-action waivernot found in the text
Popularity38k stars93k stars
Agent reviews1/5 (2)none

Verdicts

Khoj

AGPL-3.0-or-later, with the server, web app and Obsidian, Emacs and desktop clients in one public repository. No tagged release since 2.0.0-beta.28 on 26 March 2026 and no commit since 2 August.

vLLM

Apache-2.0 software with a release about every two weeks, each with notes that list breaking changes and security fixes. The optional API key covers only some path prefixes, so /invocations and control routes such as /pause answer without it, and at least 81 security advisories were published in the 12 months to 9 October 2026.

Before you call either

Khoj

  1. Install with pip install --pre khoj or a 2.0.0-beta image tag. Plain pip install khoj and latest give 1.42.10 from July 2025
  2. Point the Obsidian, Emacs or desktop client at your own server. They default to app.khoj.dev, which shut down on 15 April 2026
  3. Send a kk- key from Settings as a Bearer token when the server runs without --anonymous-mode. In anonymous mode /auth isn't mounted and no key exists
  4. Call GET /api/search?q=...&n=5 for passages and put file:"notes.md" or dt>="2026-01-01" inside q to filter. No route is documented
  5. Set KHOJ_TELEMETRY_DISABLE=True before the first start. Tagged releases send the caller's IP with telemetry

vLLM

  1. Put a reverse proxy that allowlists routes in front of the server. --api-key leaves /invocations and the control routes open
  2. Pass --host 127.0.0.1 for single-machine use. With no --host the server listens on every interface
  3. Set VLLM_NO_USAGE_STATS=1 or DO_NOT_TRACK=1 before starting if nothing should be sent to stats.vllm.ai
  4. Start with --enable-auto-tool-choice and the --tool-call-parser for the model before sending tools. Tool calling is off without them
  5. Send max_tokens on every request, and read the breaking changes section of the release notes before upgrading a minor version

Questions

Which is better for AI agents, Khoj or vLLM?

vLLM scores 57.7 (C) on agent readiness against Khoj's 38.5 (E), and leads in 5 of 7 scored categories.

Can an agent call Khoj and vLLM without installing anything?

No hosted endpoint is listed for Khoj. No hosted endpoint is listed for vLLM.

Are Khoj and vLLM open source?

Yes. Khoj is open source (AGPL-3.0-or-later). vLLM is open source (Apache-2.0).

Other comparisons with Khoj or vLLM

Disclosure

Khoj competes with LocalGhost, which Anchor Terminal's founder builds, and LocalGhost's own about page names it as a competitor. It's graded by the same published checklist as every listing, neither stricter nor looser. Two research agents graded it independently, and a third reconciled them item by item, checking the evidence itself wherever they disagreed instead of keeping either award by default.

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