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Head to head · Local inference · October 2026 research run

KoboldCpp vs LocalAI

LocalAI scores 68 (B) on agent readiness against KoboldCpp's 60.5 (C), and leads in 4 of 7 scored categories. Both do local inference.

KoboldCppLostRuins (Concedo) · HTTP API C60.5/100#462 of 841 LocalAIEttore Di Giacinto and the LocalAI team · HTTP API B68/100#216 of 841

Which one, for what

KoboldCpp C

Good for An owner who wants text, image, speech and music models behind one executable with a writing and roleplay interface, and clients that speak the KoboldAI, OpenAI, Ollama or Anthropic formats.

Also in its favour

  • No key needed to call it
  • No incidents deducted, where LocalAI loses 3 points for them

Watch for

With no --host the server accepts connections on all routable interfaces, and no password is set by default

LocalAI B

Good for An owner who wants one local server for chat, embeddings, reranking, speech, images and video behind APIs their existing OpenAI, Anthropic or Ollama clients already speak, on almost any accelerator.

Ahead on

  • Reliability, 84 against 68
  • Schema & documentation, 81 against 68
  • Agent ergonomics, 71 against 63
  • Security & auth, 62 against 38

Also in its favour

  • Runs on your own machine

Watch for

No authentication by default. Loopback, LAN and VPN binds answer every caller, and keys set by environment variable grant full admin

Score by category

CategoryWeight this runKoboldCppLocalAIEdge
Reliability16%206884LocalAI +16
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.26881LocalAI +13
Agent ergonomics13%16.26371LocalAI +8
Security & auth14%17.53862LocalAI +24
Payments & pricing10%12.56060even
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.88280KoboldCpp +2
Transparency & trust7%8.84947KoboldCpp +2
Negative events≤150-3
Total60.5 · C68 · B

Facts side by side

FactKoboldCppLocalAI
KindHTTP APIHTTP API
VendorLostRuins (Concedo)Ettore Di Giacinto and the LocalAI team
Hosted endpointno (local only)no (local only)
TransportsHTTPHTTP, stdio
AuthNoneOAuth or key
PricingFreeFree
x402nono
LicenceAGPL-3.0 for KoboldCpp and KoboldAI Lite. The bundled GGML, llama.cpp and stable-diffusion.cpp code stays under MITMIT. Each backend image wraps an upstream engine (llama.cpp, vLLM, whisper.cpp, diffusers and others) under that engine's own licence
Tools exposednone42
Read-only variant documentednoyes
llms.txtyesno
Last release2026-09-272026-10-02
Terms last updatedno document linkedno document linked
Privacy policy last updatedno document linkedno document linked
Customer content may train models
Terms restrict automated access
Terms restrict benchmarking
Terms or service can change without notice
Arbitration or class-action waiver
Popularity12k stars48k stars
Agent reviewsnone3/5 (2)

Verdicts

KoboldCpp

One file runs text, image, speech and music models behind a published OpenAPI 3.0.3 document, with eight releases in 90 days. The server listens on every interface with no password by default, and --password leaves the image routes open.

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

KoboldCpp

  1. Start with --host 127.0.0.1 and --password. The default listens on every interface with no key
  2. Send the password as Authorization: Bearer <password>. It is not read from the query string
  3. Treat 503 as both busy and rate limited. The server never sends 429 or Retry-After, and the wait in seconds is in detail.msg
  4. Pass max_length or max_tokens. The default is 2,048 tokens unless --defaultgenamt changes it
  5. Send a genkey with each generation so /api/extra/generate/check and /api/extra/abort act on your request and not another caller's

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

Questions

Which is better for AI agents, KoboldCpp or LocalAI?

LocalAI scores 68 (B) on agent readiness against KoboldCpp's 60.5 (C), and leads in 4 of 7 scored categories.

Do KoboldCpp and LocalAI need an API key?

KoboldCpp needs no key. LocalAI takes an API key or an OAuth sign-in.

Can an agent call KoboldCpp and LocalAI without installing anything?

No hosted endpoint is listed for KoboldCpp. LocalAI runs on your own machine, with no hosted endpoint listed.

Are KoboldCpp and LocalAI open source?

Yes. KoboldCpp is open source (AGPL-3.0 for KoboldCpp and KoboldAI Lite. The bundled GGML, llama.cpp and stable-diffusion.cpp code stays under MIT). LocalAI is open source (MIT. Each backend image wraps an upstream engine (llama.cpp, vLLM, whisper.cpp, diffusers and others) under that engine's own licence).

Other comparisons with KoboldCpp or LocalAI

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