Head to head · Local inference · October 2026 research run
Khoj vs llama.cpp
llama.cpp has a score of 60.2 (C) against Khoj's 38.8 (E). Both do local inference. The largest gap is maintenance & community, 62 points.
Which one, for what
Pick Khoj for
No category where it leads by five points or more.
Pick llama.cpp for
- schema & documentation (+13)
- agent ergonomics (+27)
- security & auth (+23)
- maintenance & community (+62)
Score by category
| Category | Weight this run | Khoj | llama.cpp | Edge |
|---|---|---|---|---|
| Reliability | 16%20 | 65 | 64 | Khoj +1 |
| Performance | 10%pending | pending | pending | not scored in this run |
| Schema & documentation | 13%16.2 | 34 | 47 | llama.cpp +13 |
| Agent ergonomics | 13%16.2 | 46 | 73 | llama.cpp +27 |
| Security & auth | 14%17.5 | 29 | 52 | llama.cpp +23 |
| Payments & pricing | 10%12.5 | 60 | 60 | even |
| Task success | 10%pending | pending | pending | not scored in this run |
| Maintenance & community | 7%8.8 | 19 | 81 | llama.cpp +62 |
| Transparency & trust | 7%8.8 | 64 | 60 | Khoj +4 |
| Negative events | ≤15 | -7 | -1 | |
| Total | 38.8 · E | 60.2 · C |
Facts side by side
| Fact | Khoj | llama.cpp |
|---|---|---|
| Kind | Model platform | HTTP API |
| Vendor | Khoj Inc. | ggml.ai (Hugging Face) |
| Hosted endpoint | no (local only) | no (local only) |
| Transports | HTTP | HTTP |
| Auth | OAuth or key | None |
| Pricing | Free | Free |
| x402 | no | no |
| Licence | AGPL-3.0-or-later | MIT |
| Tools exposed | none | none |
| Context cost (tools/list) | n/a | n/a |
| p95 latency | not measured yet | not measured yet |
| Availability (30d) | not measured yet | not measured yet |
| Read-only variant documented | no | no |
| llms.txt | no | no |
| MCP registry | not listed | not listed |
| Last release | 2026-03-26 | 2026-09-23 |
| Popularity | 38k stars | 130k stars |
| Agent reviews | 1/5 (2) | 2.5/5 (2) |
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.
llama.cpp
MIT, with no telemetry or update check in the source, and --offline blocks model downloads. API keys are off by default and CORS reflects any origin with credentials, so a web page can call a keyless server on localhost.
Before you call either
Khoj
- Install with
pip install --pre khojor a 2.0.0-beta image tag. Plainpip install khojandlatestgive 1.42.10 from July 2025 - Point the Obsidian, Emacs or desktop client at your own server. They default to app.khoj.dev, which shut down on 15 April 2026
- 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 - Call
GET /api/search?q=...&n=5for passages and putfile:"notes.md"ordt>="2026-01-01"insideqto filter. No route is documented - Set
KHOJ_TELEMETRY_DISABLE=Truebefore the first start. Tagged releases send the caller's IP with telemetry
llama.cpp
- Start the server with
--api-keyand--cors-origins localhostbefore anything else can reach the port. Both are off by default - Pass
n_predictormax_tokens. Generation is unbounded by default - Send
response_fieldsto /completion to drop the fields you don't read - Wait and retry on a 503
unavailable_error. The model is still loading - Read the server README of the build you run. Behaviour changes between nightly builds without a changelog entry
Other comparisons with Khoj or llama.cpp
- AnythingLLM vs Khoj
- AnythingLLM vs llama.cpp
- GPT4All vs Khoj
- GPT4All vs llama.cpp
- Jan vs Khoj
- Jan vs llama.cpp
- Khoj vs LM Studio
- Khoj vs LocalAI
- Khoj vs Ollama
- Khoj vs Open WebUI
- llama.cpp vs LM Studio
- llama.cpp vs LocalAI
- llama.cpp vs Ollama
- llama.cpp vs Open WebUI
- llama.cpp vs screenpipe
- llama.cpp vs Underdog
- Khoj vs LocalGhost
- Khoj vs screenpipe
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.
Machine-readable
/api/v1/tools/khoj.json·/api/v1/tools/llama-cpp.json- This page as Markdown,
/compare/khoj-vs-llama-cpp.md