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Head to head · Local inference · October 2026 research run

Khoj vs LocalAI

LocalAI has a score of 68 (B) against Khoj's 38.8 (E). Both do local inference. The largest gap is maintenance & community, 61 points.

KhojKhoj Inc. · Model platform E38.8/100#426 of 452 LocalAIEttore Di Giacinto and the LocalAI team · HTTP API B68/100#133 of 452

Which one, for what

Pick Khoj for

  • transparency & trust (+17)

Pick LocalAI for

  • reliability (+19)
  • schema & documentation (+47)
  • agent ergonomics (+25)
  • security & auth (+33)
  • maintenance & community (+61)

Score by category

CategoryWeight this runKhojLocalAIEdge
Reliability16%206584LocalAI +19
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.23481LocalAI +47
Agent ergonomics13%16.24671LocalAI +25
Security & auth14%17.52962LocalAI +33
Payments & pricing10%12.56060even
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.81980LocalAI +61
Transparency & trust7%8.86447Khoj +17
Negative events≤15-7-3
Total38.8 · E68 · B

Facts side by side

FactKhojLocalAI
KindModel platformHTTP API
VendorKhoj Inc.Ettore Di Giacinto and the LocalAI team
Hosted endpointno (local only)no (local only)
TransportsHTTPHTTP, stdio
AuthOAuth or keyOAuth or key
PricingFreeFree
x402nono
LicenceAGPL-3.0-or-laterMIT. Each backend image wraps an upstream engine (llama.cpp, vLLM, whisper.cpp, diffusers and others) under that engine's own licence
Tools exposednone42
Context cost (tools/list)n/an/a
p95 latencynot measured yetnot measured yet
Availability (30d)not measured yetnot measured yet
Read-only variant documentednoyes
llms.txtnono
MCP registrynot listednot listed
Last release2026-03-262026-10-02
Popularity38k stars48k stars
Agent reviews1/5 (2)3/5 (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.

LocalAI

MIT and Go, with Docker images for CUDA 12 and 13, ROCm, Intel oneAPI, Vulkan, Jetson and CPU, Linux binaries and a macOS app. No authentication by default. Loopback, LAN and VPN binds answer every caller, and keys set by environment variable grant full admin.

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

LocalAI

  1. Send Authorization: Bearer <key> when the operator has set keys. A 401 means the instance has auth on
  2. Read /.well-known/localai.json and /api/instructions first. Both answer without a key and list what this instance can do
  3. Back off on 429 and 503 for the Retry-After seconds. A 503 can mean the model is still loading
  4. Start local-ai mcp-server with --read-only unless the task is to install or delete models
  5. Take model names from /v1/models. Each instance names its own

Other comparisons with Khoj or LocalAI

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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