Head to head · Local inference · October 2026 research run

KoboldCpp vs TextGen

KoboldCpp scores 60.5 (C) on agent readiness against TextGen's 45.1 (E), and leads in 4 of 7 scored categories. Both do local inference.

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.

Ahead on

  • Reliability, 68 against 51
  • Schema & documentation, 68 against 61
  • Agent ergonomics, 63 against 50
  • Maintenance & community, 82 against 24

Also in its favour

  • No key needed to call it
  • No incidents deducted, where TextGen loses 4 points for them

Watch for

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

TextGen E

Good for A person who wants one app for several backends (llama.cpp, ExLlamaV3, Transformers) with an OpenAI and Anthropic-compatible endpoint, LoRA training and image generation.

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

Watch for

No release since v4.9 on 20 May 2026 and no code commit on main or dev since 31 May 2026

Score by category

CategoryWeight this runKoboldCppTextGenEdge
Reliability16%206851KoboldCpp +17
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.26861KoboldCpp +7
Agent ergonomics13%16.26350KoboldCpp +13
Security & auth14%17.53840TextGen +2
Payments & pricing10%12.56060even
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.88224KoboldCpp +58
Transparency & trust7%8.84949even
Negative events≤150-4
Total60.5 · C45.1 · E

Facts side by side

FactKoboldCppTextGen
KindHTTP APIModel platform
VendorLostRuins (Concedo)oobabooga
Hosted endpointno (local only)no (local only)
TransportsHTTPHTTP
AuthNoneAPI key
PricingFreeFree
x402nono
LicenceAGPL-3.0 for KoboldCpp and KoboldAI Lite. The bundled GGML, llama.cpp and stable-diffusion.cpp code stays under MITAGPL-3.0
Read-only variant documentednono
llms.txtyesno
Last release2026-09-272026-05-20
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

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.

TextGen

AGPL-3.0 with no telemetry, and a local API on 127.0.0.1:5000 that checks the Host header, limits CORS to localhost and separates an admin key from the caller's key. No release since v4.9 on 20 May 2026, no code commits since 31 May, no test suite, and ten security advisories in the year, all fixed.

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

TextGen

  1. Ask the owner to launch with --api. Nothing listens on port 5000 without it, and a model must be loaded first
  2. Call http://127.0.0.1:5000/v1. Any Host header other than localhost or 127.0.0.1 gets 400 Invalid host header unless --listen is set
  3. Send the key as Authorization: Bearer on OpenAI routes and as x-api-key on /v1/messages. Model loading needs the admin key
  4. Read http://127.0.0.1:5000/docs or modules/api/typing.py for parameters. max_tokens defaults to 512 on chat completions
  5. Run tool calls yourself. The API returns finish_reason: "tool_calls" and executes nothing on the server
  6. Use the repository name oobabooga/textgen. The old text-generation-webui URL redirects

Questions

Which is better for AI agents, KoboldCpp or TextGen?

KoboldCpp scores 60.5 (C) on agent readiness against TextGen's 45.1 (E), and leads in 4 of 7 scored categories.

Can an agent call KoboldCpp and TextGen without installing anything?

No hosted endpoint is listed for KoboldCpp. No hosted endpoint is listed for TextGen.

Are KoboldCpp and TextGen 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). TextGen is open source (AGPL-3.0).

Other comparisons with KoboldCpp or TextGen

Machine-readable

For companies

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