Head to head · Local inference · October 2026 research run
Khoj vs Ollama
Ollama has a score of 56.6 (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
- reliability (+12)
Pick Ollama for
- schema & documentation (+45)
- agent ergonomics (+29)
- maintenance & community (+62)
Score by category
| Category | Weight this run | Khoj | Ollama | Edge |
|---|---|---|---|---|
| Reliability | 16%20 | 65 | 53 | Khoj +12 |
| Performance | 10%pending | pending | pending | not scored in this run |
| Schema & documentation | 13%16.2 | 34 | 79 | Ollama +45 |
| Agent ergonomics | 13%16.2 | 46 | 75 | Ollama +29 |
| Security & auth | 14%17.5 | 29 | 28 | Khoj +1 |
| 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 | Ollama +62 |
| Transparency & trust | 7%8.8 | 64 | 63 | Khoj +1 |
| Negative events | ≤15 | -7 | -4 | |
| Total | 38.8 · E | 56.6 · C |
Facts side by side
| Fact | Khoj | Ollama |
|---|---|---|
| Kind | Model platform | HTTP API |
| Vendor | Khoj Inc. | Ollama Inc. |
| Hosted endpoint | no (local only) | no (local only) |
| Transports | HTTP | HTTP |
| Auth | OAuth or key | None |
| Pricing | Free | Freemium |
| x402 | no | no |
| Licence | AGPL-3.0-or-later | MIT (server, CLI and desktop app). Ollama Cloud is a closed service under the ollama.com terms, and each model carries its own licence |
| 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 | yes |
| MCP registry | not listed | not listed |
| Last release | 2026-03-26 | 2026-10-01 |
| Popularity | 38k stars | 181k stars, 872k npm/wk |
| 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.
Ollama
An OpenAPI 3.1 file for the 15 native operations and llms.txt with 68 links to Markdown pages. No credential on the local API, and any caller that reaches it can pull, push, create and delete models.
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
Ollama
- Send
"stream": falsefor one JSON body. The native routes stream NDJSON by default - Set
OLLAMA_CONTEXT_LENGTH=64000oroptions.num_ctxbefore agent work. The default is 4k below 24 GiB of VRAM - Back off on a 503. It means the queue (512 by default) is full
- Put an authenticating proxy in front before binding past 127.0.0.1. The server checks no credential
- Expect model names with a
cloudtag to run on Ollama's servers. They needollama signinand fail withOLLAMA_NO_CLOUD=1
Other comparisons with Khoj or Ollama
- AnythingLLM vs Khoj
- AnythingLLM vs Ollama
- GPT4All vs Khoj
- GPT4All vs Ollama
- Jan vs Khoj
- Jan vs Ollama
- Khoj vs llama.cpp
- Khoj vs LM Studio
- Khoj vs LocalAI
- Khoj vs Open WebUI
- llama.cpp vs Ollama
- LM Studio vs Ollama
- LocalAI vs Ollama
- Ollama vs Open WebUI
- Ollama vs screenpipe
- Ollama 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/ollama.json- This page as Markdown,
/compare/khoj-vs-ollama.md