{
  "data": {
    "a": {
      "slug": "koboldcpp",
      "name": "KoboldCpp",
      "vendor": "LostRuins (Concedo)",
      "vendorUrl": "https://koboldcpp.net",
      "kind": "http-api",
      "category": "local-ai",
      "summary": "Open-source program for running GGUF models on the owner's own computer, built on llama.cpp. One executable serves a web interface and KoboldAI, OpenAI, Ollama and Anthropic compatible APIs on port 5001.",
      "url": "https://www.anchorterminal.com/tools/koboldcpp",
      "markdownUrl": "https://www.anchorterminal.com/tools/koboldcpp.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/koboldcpp.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/koboldcpp.json",
      "repo": "https://github.com/LostRuins/koboldcpp",
      "license": "AGPL-3.0 for KoboldCpp and KoboldAI Lite. The bundled GGML, llama.cpp and stable-diffusion.cpp code stays under MIT",
      "transports": [
        "http"
      ],
      "packages": [
        {
          "registry": "oci",
          "name": "koboldai/koboldcpp"
        }
      ],
      "auth": "none",
      "authNotes": "No credential by default. `--password` (or the `KCPP_PASSWORD` environment variable) sets one shared key, sent as `Authorization: Bearer`, and the server reads it from the header only. The key guards text routes. Image generation, upscaling, `/sdapi/v1/interrogate` and `/tts_to_audio` skip the check, and the `--help` text says image endpoints are not secured. Admin routes need `--admin`, an `--admindir` and, when set, a separate `--adminpassword`. Keys have no scopes and change only with a restart. With no `--host` the server listens on all routable interfaces, and CORS reflects any Origin with credentials allowed (https://github.com/LostRuins/koboldcpp/blob/concedo/koboldcpp.py).",
      "pricing": "free",
      "pricingNotes": "Free under AGPL-3.0, with no account, key or card. Nothing is sold by the project. The owner pays for hardware and electricity, and the README links third-party GPU rental (RunPod, SimplePod) and Google Colab as other places to run it.",
      "priceSummary": "Free · OSS",
      "where": "local",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 in the README, the wiki, the API document or `koboldcpp.py` (checked 2026-10-08).",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": 11972,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-10-08"
      },
      "docsUrl": "https://github.com/LostRuins/koboldcpp/wiki",
      "llmsTxt": "https://koboldcpp.net/llms.txt",
      "openapi": "https://lite.koboldai.net/koboldcpp_api.json",
      "capabilities": [
        "inference.local",
        "inference.open-weights",
        "agent.mcp-client",
        "embed.text",
        "image.generate",
        "speech.stt",
        "speech.tts",
        "audio.music"
      ],
      "tags": [
        "open-source",
        "local",
        "self-hosted",
        "free",
        "no-card",
        "openai-compatible",
        "openapi",
        "llms-txt",
        "docker",
        "agpl",
        "no-telemetry"
      ],
      "lastRelease": "2026-09-27",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 60.5,
        "grade": "C",
        "agentReady": false,
        "rank": 462,
        "ranked": true,
        "rankOf": 842,
        "categoryRank": 5,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 63,
          "maintenance": 82,
          "payments": 60,
          "reliability": 68,
          "schema": 68,
          "security": 38,
          "transparency": 49
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-08"
        },
        "negative": 0,
        "verdict": "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.",
        "bestFor": "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.",
        "strengths": [
          "OpenAPI 3.0.3 document with 54 operations, served by the program at `/api?json=1` and published at lite.koboldai.net",
          "KoboldAI, OpenAI, Ollama, Anthropic, AUTOMATIC1111 and ComfyUI style routes from one server on port 5001",
          "Eight releases between 10 July and 27 September 2026, each with written notes, and replies on all 24 of the newest open issues",
          "AGPL-3.0, with no telemetry or update check found in `koboldcpp.py` and a wiki statement that inputs are sent nowhere",
          "Admin functions are off by default and take their own `--adminpassword`"
        ],
        "weaknesses": [
          "With no `--host` the server accepts connections on all routable interfaces, and no password is set by default",
          "`--password` covers text routes only. The `--help` text says image endpoints are not secured",
          "CORS reflects any Origin with credentials allowed and permits private-network requests",
          "No `SECURITY.md` or security.txt, and the one advisory (GHSA-qhvp-gj7g-rw26) still lists no patched version",
          "No continuous test run on pushes. Build workflows are started by hand and the only automatic test covers `AutoGuess.json`"
        ],
        "agentNotes": [
          "Start with `--host 127.0.0.1` and `--password`. The default listens on every interface with no key",
          "Send the password as `Authorization: Bearer \u003cpassword\u003e`. It is not read from the query string",
          "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`",
          "Pass `max_length` or `max_tokens`. The default is 2,048 tokens unless `--defaultgenamt` changes it",
          "Send a `genkey` with each generation so `/api/extra/generate/check` and `/api/extra/abort` act on your request and not another caller's"
        ],
        "metrics": {
          "kind": "local",
          "measured": false
        },
        "reviewCount": 0,
        "avgRating": 0,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "C",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 60.5
          }
        ],
        "editorialScores": {
          "ergonomics": 63,
          "maintenance": 82,
          "payments": 60,
          "reliability": 68,
          "schema": 68,
          "security": 38,
          "transparency": 70
        },
        "provenanceScore": 27
      },
      "connect": {
        "install": "curl -fLo koboldcpp-linux-x64 https://github.com/LostRuins/koboldcpp/releases/latest/download/koboldcpp-linux-x64 \u0026\u0026 chmod +x koboldcpp-linux-x64 \u0026\u0026 ./koboldcpp-linux-x64\n./koboldcpp-linux-x64 --model /path/to/model.gguf   # listens on port 5001",
        "http": "curl --request POST \\\n    --url http://localhost:5001/api/v1/generate \\\n    --header \"Content-Type: application/json\" \\\n    --data '{\"prompt\": \"Niko the kobold stalked carefully down the alley,\", \"max_context_length\": 2048, \"max_length\": 100}'"
      },
      "letme": {
        "capability": "https://letme.dev/inference.local",
        "tool": "https://letme.dev/koboldcpp"
      },
      "area": "models",
      "provenance": {
        "legalEntity": "",
        "domain": "koboldcpp.net",
        "domainRegistered": "2026-03-18",
        "endpointOnVendorDomain": null,
        "terms": "",
        "privacy": "",
        "statusPage": "",
        "changelog": "https://github.com/LostRuins/koboldcpp/releases",
        "securityTxt": "none",
        "checked": "2026-10-08",
        "notes": [
          "No legal entity is named in the repository, the wiki or koboldcpp.net. The maintainer publishes as LostRuins on GitHub and Concedo on Discord, and the Windows binary's version resource gives KoboldAI as the company name.",
          "The project publishes no terms of service and no privacy policy, so both fields are empty. The licence is AGPL-3.0 and the only privacy statement is an FAQ entry in the wiki.",
          "The README calls koboldcpp.net the official community website. RDAP gives its registration date as 2026-03-18 and Cloudflare, Inc. as registrar. The README warns that koboldcpp.com is a fake site.",
          "koboldcpp.net/.well-known/security.txt and koboldai.org/.well-known/security.txt return 404. koboldcpp.net/llms.txt returns a short index that links llms-small.txt and llms-full.txt.",
          "There's no shared hosted endpoint. The server runs on the owner's machine. The online API reference is on lite.koboldai.net."
        ],
        "score": 27
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/koboldcpp.json"
    },
    "answer": "KoboldCpp scores 60.5 (C) on agent readiness against Ollama's 56.3 (C), and leads in 3 of 7 scored categories. Ollama leads on schema \u0026 documentation, agent ergonomics and transparency \u0026 trust.",
    "b": {
      "slug": "ollama",
      "name": "Ollama",
      "vendor": "Ollama Inc.",
      "vendorUrl": "https://ollama.com",
      "kind": "http-api",
      "category": "local-ai",
      "summary": "Open-source model runner for macOS, Windows and Linux, with a local API and a library of downloadable models.",
      "url": "https://www.anchorterminal.com/tools/ollama",
      "markdownUrl": "https://www.anchorterminal.com/tools/ollama.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/ollama.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/ollama.json",
      "repo": "https://github.com/ollama/ollama",
      "license": "MIT (server, CLI and desktop app). Ollama Cloud is a closed service under the ollama.com terms, and each model carries its own licence",
      "transports": [
        "http"
      ],
      "packages": [
        {
          "registry": "oci",
          "name": "docker.io/ollama/ollama"
        },
        {
          "registry": "pypi",
          "name": "ollama"
        },
        {
          "registry": "npm",
          "name": "ollama"
        }
      ],
      "auth": "none",
      "authNotes": "The local API at http://localhost:11434 takes no credential. It binds 127.0.0.1, answers a foreign Host header with 403 while bound to loopback, and allows cross-origin calls from 127.0.0.1 and 0.0.0.0 unless `OLLAMA_ORIGINS` adds more. Anything that reaches the port can generate, pull, push, create, copy and delete models. Cloud models through the local server need `ollama signin`, which signs requests with the install's own key. Direct calls to https://ollama.com/api and /v1 need a Bearer API key from ollama.com/settings/keys, which doesn't expire and has no scopes, and is revoked from the same page (https://github.com/ollama/ollama/blob/main/docs/api/authentication.mdx).",
      "pricing": "freemium",
      "pricingNotes": "The server, CLI and desktop app are free under MIT with no account. Ollama Cloud has five plans on ollama.com/pricing. Free ($0, starter usage credits, starter models, 1 concurrent request), Pro ($20 a month or $200 a year, $60 of usage credits a month, 3 concurrent requests), Max ($100 a month, $300 of credits, 10 concurrent requests), Team ($500 a month, $1,000 of shared credits, unlimited users) and Enterprise (custom). Usage is priced per model by the token, and the page doesn't say whether the Free plan needs a card (checked 2026-10-03).",
      "priceSummary": "$20 / mo",
      "where": "local",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 in the docs, the pricing page or the source (checked 2026-10-03).",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": 181200,
        "npmWeekly": 871543,
        "pypiWeekly": null,
        "asOf": "2026-10-03"
      },
      "docsUrl": "https://docs.ollama.com",
      "llmsTxt": "https://docs.ollama.com/llms.txt",
      "openapi": "https://raw.githubusercontent.com/ollama/ollama/main/docs/openapi.yaml",
      "capabilities": [
        "inference.local",
        "inference.open-weights",
        "inference.llm",
        "embed.text",
        "inference.decision",
        "web.search",
        "web.fetch"
      ],
      "tags": [
        "open-source",
        "local",
        "self-hosted",
        "hosted",
        "freemium",
        "no-card",
        "openai-compatible",
        "openapi",
        "llms-txt",
        "docker",
        "go",
        "python",
        "typescript",
        "pre-1.0",
        "no-auth"
      ],
      "lastRelease": "2026-10-01",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 56.3,
        "grade": "C",
        "agentReady": false,
        "rank": 570,
        "ranked": true,
        "rankOf": 842,
        "categoryRank": 9,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 75,
          "maintenance": 81,
          "payments": 60,
          "reliability": 53,
          "schema": 79,
          "security": 28,
          "transparency": 59
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-03"
        },
        "negative": -4,
        "negativeNotes": [
          "2026-04-29. CERT Polska published CVE-2026-42248 and CVE-2026-42249 (9.8 each). The Windows app accepted downloaded updates without a signature check and took the file name from the server's response, and it installs updates silently, so whoever could answer the update request could run code on the machine. CERT Polska tested 0.12.10 to 0.17.5, and the Windows check stayed a stub returning success until v0.23.3 on 12 May 2026, whose notes list the fix only as `app: harden update flows`. CERT Polska says the maintainers didn't respond with details or the vulnerable range, and Ollama published no advisory. Fixed, but not disclosed by the vendor, -4. https://cert.pl/en/posts/2026/04/CVE-2026-42248/; https://github.com/ollama/ollama/releases/tag/v0.23.3"
        ],
        "verdict": "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.",
        "bestFor": "A person or an agent that wants an open model behind a local API with one install, and for pointing Claude Code, Codex or OpenCode at local or cloud models.",
        "strengths": [
          "An OpenAPI 3.1 file for the 15 native operations and llms.txt with 68 links to Markdown pages",
          "Native, OpenAI-compatible and Anthropic-compatible routes on one local port, with `ollama launch` for Claude Code, Codex and OpenCode",
          "28 releases in the 90 days to 3 October 2026, and official Python and JavaScript libraries released on 28 September",
          "Local prompts stay on the machine, and `OLLAMA_NO_CLOUD=1` turns off cloud models and web search",
          "Binds 127.0.0.1 by default and refuses foreign Host headers while bound to loopback"
        ],
        "weaknesses": [
          "No credential on the local API, and any caller that reaches it can pull, push, create and delete models",
          "No GitHub security advisory, against 12 CVEs on NVD since October 2025",
          "The Windows updater installed unsigned files until v0.23.3 on 12 May 2026, fixed under a release note that didn't mention security",
          "The desktop app checks ollama.com every hour with a signed request, even with automatic updates off, and no documented way to stop it",
          "A default context of 4k tokens below 24 GiB of VRAM, where the docs say agents need 64,000"
        ],
        "agentNotes": [
          "Send `\"stream\": false` for one JSON body. The native routes stream NDJSON by default",
          "Set `OLLAMA_CONTEXT_LENGTH=64000` or `options.num_ctx` before 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 `cloud` tag to run on Ollama's servers. They need `ollama signin` and fail with `OLLAMA_NO_CLOUD=1`"
        ],
        "metrics": {
          "kind": "local",
          "measured": false
        },
        "reviewCount": 2,
        "avgRating": 2.5,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "C",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 56.3
          }
        ],
        "editorialScores": {
          "ergonomics": 75,
          "maintenance": 81,
          "payments": 60,
          "reliability": 53,
          "schema": 79,
          "security": 28,
          "transparency": 66
        },
        "provenanceScore": 52
      },
      "connect": {
        "install": "curl -fsSL https://ollama.com/install.sh | sh   # macOS and Linux; Windows: irm https://ollama.com/install.ps1 | iex\nollama pull gemma4:e2b",
        "http": "curl http://localhost:11434/api/chat \\\n  -H \"Content-Type: application/json\" \\\n  -d '{\n    \"model\": \"gemma4:e2b\",\n    \"messages\": [{\"role\": \"user\", \"content\": \"Say hello in one sentence.\"}],\n    \"stream\": false\n  }'",
        "claudeCode": "ollama launch claude   # or: ANTHROPIC_AUTH_TOKEN=ollama ANTHROPIC_API_KEY=\"\" ANTHROPIC_BASE_URL=http://localhost:11434 claude --model qwen3.5"
      },
      "letme": {
        "capability": "https://letme.dev/inference.local",
        "tool": "https://letme.dev/ollama"
      },
      "area": "models",
      "unitPrices": [
        {
          "item": "Ollama Cloud Pro",
          "unit": "month",
          "usd": 20,
          "note": "$60 of usage credits a month, 3 concurrent requests. $200 a year"
        },
        {
          "item": "Ollama Cloud Max",
          "unit": "month",
          "usd": 100,
          "note": "$300 of usage credits a month, 10 concurrent requests"
        },
        {
          "item": "Ollama Cloud Team",
          "unit": "month",
          "usd": 500,
          "note": "$1,000 of shared usage credits a month, unlimited users, 10 concurrent requests"
        }
      ],
      "provenance": {
        "legalEntity": "Ollama Inc.",
        "domain": "ollama.com",
        "domainRegistered": "",
        "endpointOnVendorDomain": null,
        "terms": "https://ollama.com/terms",
        "privacy": "https://ollama.com/privacy",
        "statusPage": "",
        "changelog": "https://github.com/ollama/ollama/releases",
        "securityTxt": "none",
        "checked": "2026-10-03",
        "notes": [
          "The terms (last updated May 2026) name Ollama Inc., under California law with arbitration in San Francisco. The privacy policy was last updated in March 2026.",
          "ollama.com/.well-known/security.txt returns 404. SECURITY.md sends reports to hello@ollama.com.",
          "status.ollama.com doesn't resolve, and we found no other status page for Ollama Cloud.",
          "The API an agent calls runs on the owner's machine, so there's no shared endpoint to check. Ollama Cloud answers at https://ollama.com/api and /v1."
        ],
        "score": 52
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/ollama.json",
      "live": {
        "slug": "ollama",
        "versions": [
          {
            "registry": "github",
            "name": "ollama/ollama",
            "version": "v0.40.1",
            "released": "2026-10-07",
            "seenAt": "2026-10-08T16:23:02.6097517Z"
          },
          {
            "registry": "npm",
            "name": "ollama",
            "version": "0.6.4",
            "seenAt": "2026-10-08T16:23:02.362375923Z"
          },
          {
            "registry": "pypi",
            "name": "ollama",
            "version": "0.6.3",
            "released": "2026-09-29",
            "seenAt": "2026-10-08T16:23:02.244609581Z"
          }
        ],
        "githubStars": 182568,
        "npmWeekly": 896480,
        "pypiWeekly": 3497787,
        "securityTxt": {
          "url": "https://ollama.com/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-10-08T15:38:41.845996296Z"
        },
        "llmsTxt": {
          "url": "https://docs.ollama.com/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-10-08T14:00:42.41869475Z"
        },
        "domain": {
          "domain": "ollama.com",
          "registered": "2017-05-08",
          "source": "https://rdap.verisign.com/com/v1/domain/ollama.com",
          "checkedAt": "2026-10-04T13:05:52.948193398Z"
        },
        "pages": [
          {
            "url": "https://ollama.com/privacy",
            "kind": "privacy",
            "status": 200,
            "checkedAt": "2026-10-08T18:22:27.211563974Z",
            "changedAt": "2026-10-08T18:22:27.211563974Z",
            "fingerprint": "0d2286fd10da"
          },
          {
            "url": "https://ollama.com/terms",
            "kind": "terms",
            "status": 200,
            "checkedAt": "2026-10-08T18:22:29.35897412Z",
            "changedAt": "2026-10-08T18:22:29.35897412Z",
            "fingerprint": "3bfbf07c7a8b"
          }
        ],
        "updatedAt": "2026-10-08T18:22:29.35897412Z"
      }
    },
    "facts": [
      {
        "a": "HTTP API",
        "b": "HTTP API",
        "name": "Kind"
      },
      {
        "a": "LostRuins (Concedo)",
        "b": "Ollama Inc.",
        "name": "Vendor"
      },
      {
        "a": "no (local only)",
        "b": "no (local only)",
        "name": "Hosted endpoint"
      },
      {
        "a": "HTTP",
        "b": "HTTP",
        "name": "Transports"
      },
      {
        "a": "None",
        "b": "None",
        "name": "Auth"
      },
      {
        "a": "Free",
        "b": "Freemium",
        "name": "Pricing"
      },
      {
        "a": "no",
        "b": "no",
        "name": "x402"
      },
      {
        "a": "AGPL-3.0 for KoboldCpp and KoboldAI Lite. The bundled GGML, llama.cpp and stable-diffusion.cpp code stays under MIT",
        "b": "MIT (server, CLI and desktop app). Ollama Cloud is a closed service under the ollama.com terms, and each model carries its own licence",
        "name": "Licence"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "yes",
        "b": "yes",
        "name": "llms.txt"
      },
      {
        "a": "2026-09-27",
        "b": "2026-10-01",
        "name": "Last release"
      },
      {
        "a": "no document linked",
        "b": "2026-05-01",
        "name": "Terms last updated"
      },
      {
        "a": "no document linked",
        "b": "2026-03-01",
        "name": "Privacy policy last updated"
      },
      {
        "a": "",
        "b": "not found in the text",
        "name": "Customer content may train models"
      },
      {
        "a": "",
        "b": "yes",
        "name": "Terms restrict automated access"
      },
      {
        "a": "",
        "b": "yes",
        "name": "Terms restrict benchmarking"
      },
      {
        "a": "",
        "b": "not found in the text",
        "name": "Terms or service can change without notice"
      },
      {
        "a": "",
        "b": "yes",
        "name": "Arbitration or class-action waiver"
      },
      {
        "a": "12k stars",
        "b": "181k stars, 872k npm/wk",
        "name": "Popularity"
      },
      {
        "a": "none",
        "b": "2.5/5 (2)",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "KoboldCpp scores 60.5 (C) on agent readiness against Ollama's 56.3 (C), and leads in 3 of 7 scored categories. Ollama leads on schema \u0026 documentation, agent ergonomics and transparency \u0026 trust.",
        "question": "Which is better for AI agents, KoboldCpp or Ollama?"
      },
      {
        "answer": "Neither needs a key.",
        "question": "Do KoboldCpp and Ollama need an API key?"
      },
      {
        "answer": "No hosted endpoint is listed for KoboldCpp. No hosted endpoint is listed for Ollama.",
        "question": "Can an agent call KoboldCpp and Ollama without installing anything?"
      },
      {
        "answer": "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). Ollama is open source (MIT (server, CLI and desktop app). Ollama Cloud is a closed service under the ollama.com terms, and each model carries its own licence).",
        "question": "Are KoboldCpp and Ollama open source?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Reliability, 68 against 53",
          "Security \u0026 auth, 38 against 28"
        ],
        "also": [
          "No incidents deducted, where Ollama loses 4 points for them"
        ],
        "goodFor": "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.",
        "slug": "koboldcpp",
        "watchFor": "With no `--host` the server accepts connections on all routable interfaces, and no password is set by default"
      },
      {
        "aheadOn": [
          "Schema \u0026 documentation, 79 against 68",
          "Agent ergonomics, 75 against 63",
          "Transparency \u0026 trust, 59 against 49"
        ],
        "also": null,
        "goodFor": "A person or an agent that wants an open model behind a local API with one install, and for pointing Claude Code, Codex or OpenCode at local or cloud models.",
        "slug": "ollama",
        "watchFor": "No credential on the local API, and any caller that reaches it can pull, push, create and delete models"
      }
    ],
    "job": {
      "capability": "inference.local",
      "name": "Local inference"
    },
    "others": [
      {
        "json": "https://www.anchorterminal.com/compare/anythingllm-vs-koboldcpp.json",
        "title": "AnythingLLM vs KoboldCpp",
        "url": "https://www.anchorterminal.com/compare/anythingllm-vs-koboldcpp"
      },
      {
        "json": "https://www.anchorterminal.com/compare/anythingllm-vs-ollama.json",
        "title": "AnythingLLM vs Ollama",
        "url": "https://www.anchorterminal.com/compare/anythingllm-vs-ollama"
      },
      {
        "json": "https://www.anchorterminal.com/compare/docker-model-runner-vs-koboldcpp.json",
        "title": "Docker Model Runner vs KoboldCpp",
        "url": "https://www.anchorterminal.com/compare/docker-model-runner-vs-koboldcpp"
      },
      {
        "json": "https://www.anchorterminal.com/compare/docker-model-runner-vs-ollama.json",
        "title": "Docker Model Runner vs Ollama",
        "url": "https://www.anchorterminal.com/compare/docker-model-runner-vs-ollama"
      },
      {
        "json": "https://www.anchorterminal.com/compare/foundry-local-vs-koboldcpp.json",
        "title": "Foundry Local vs KoboldCpp",
        "url": "https://www.anchorterminal.com/compare/foundry-local-vs-koboldcpp"
      },
      {
        "json": "https://www.anchorterminal.com/compare/foundry-local-vs-ollama.json",
        "title": "Foundry Local vs Ollama",
        "url": "https://www.anchorterminal.com/compare/foundry-local-vs-ollama"
      },
      {
        "json": "https://www.anchorterminal.com/compare/ghost-core-vs-koboldcpp.json",
        "title": "Core vs KoboldCpp",
        "url": "https://www.anchorterminal.com/compare/ghost-core-vs-koboldcpp"
      },
      {
        "json": "https://www.anchorterminal.com/compare/ghost-core-vs-ollama.json",
        "title": "Core vs Ollama",
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      },
      {
        "json": "https://www.anchorterminal.com/compare/gpt4all-vs-koboldcpp.json",
        "title": "GPT4All vs KoboldCpp",
        "url": "https://www.anchorterminal.com/compare/gpt4all-vs-koboldcpp"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gpt4all-vs-ollama.json",
        "title": "GPT4All vs Ollama",
        "url": "https://www.anchorterminal.com/compare/gpt4all-vs-ollama"
      },
      {
        "json": "https://www.anchorterminal.com/compare/jan-vs-koboldcpp.json",
        "title": "Jan vs KoboldCpp",
        "url": "https://www.anchorterminal.com/compare/jan-vs-koboldcpp"
      },
      {
        "json": "https://www.anchorterminal.com/compare/jan-vs-ollama.json",
        "title": "Jan vs Ollama",
        "url": "https://www.anchorterminal.com/compare/jan-vs-ollama"
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        "json": "https://www.anchorterminal.com/compare/khoj-vs-koboldcpp.json",
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        "url": "https://www.anchorterminal.com/compare/khoj-vs-koboldcpp"
      },
      {
        "json": "https://www.anchorterminal.com/compare/khoj-vs-ollama.json",
        "title": "Khoj vs Ollama",
        "url": "https://www.anchorterminal.com/compare/khoj-vs-ollama"
      },
      {
        "json": "https://www.anchorterminal.com/compare/koboldcpp-vs-lemonade.json",
        "title": "KoboldCpp vs Lemonade",
        "url": "https://www.anchorterminal.com/compare/koboldcpp-vs-lemonade"
      },
      {
        "json": "https://www.anchorterminal.com/compare/koboldcpp-vs-llama-cpp.json",
        "title": "KoboldCpp vs llama.cpp",
        "url": "https://www.anchorterminal.com/compare/koboldcpp-vs-llama-cpp"
      },
      {
        "json": "https://www.anchorterminal.com/compare/koboldcpp-vs-lm-studio.json",
        "title": "KoboldCpp vs LM Studio",
        "url": "https://www.anchorterminal.com/compare/koboldcpp-vs-lm-studio"
      },
      {
        "json": "https://www.anchorterminal.com/compare/koboldcpp-vs-localai.json",
        "title": "KoboldCpp vs LocalAI",
        "url": "https://www.anchorterminal.com/compare/koboldcpp-vs-localai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/koboldcpp-vs-mlx-lm.json",
        "title": "KoboldCpp vs MLX LM",
        "url": "https://www.anchorterminal.com/compare/koboldcpp-vs-mlx-lm"
      },
      {
        "json": "https://www.anchorterminal.com/compare/koboldcpp-vs-open-webui.json",
        "title": "KoboldCpp vs Open WebUI",
        "url": "https://www.anchorterminal.com/compare/koboldcpp-vs-open-webui"
      },
      {
        "json": "https://www.anchorterminal.com/compare/koboldcpp-vs-screenpipe.json",
        "title": "KoboldCpp vs screenpipe",
        "url": "https://www.anchorterminal.com/compare/koboldcpp-vs-screenpipe"
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      {
        "json": "https://www.anchorterminal.com/compare/koboldcpp-vs-text-generation-webui.json",
        "title": "KoboldCpp vs TextGen",
        "url": "https://www.anchorterminal.com/compare/koboldcpp-vs-text-generation-webui"
      },
      {
        "json": "https://www.anchorterminal.com/compare/lemonade-vs-ollama.json",
        "title": "Lemonade vs Ollama",
        "url": "https://www.anchorterminal.com/compare/lemonade-vs-ollama"
      },
      {
        "json": "https://www.anchorterminal.com/compare/llama-cpp-vs-ollama.json",
        "title": "llama.cpp vs Ollama",
        "url": "https://www.anchorterminal.com/compare/llama-cpp-vs-ollama"
      },
      {
        "json": "https://www.anchorterminal.com/compare/lm-studio-vs-ollama.json",
        "title": "LM Studio vs Ollama",
        "url": "https://www.anchorterminal.com/compare/lm-studio-vs-ollama"
      },
      {
        "json": "https://www.anchorterminal.com/compare/localai-vs-ollama.json",
        "title": "LocalAI vs Ollama",
        "url": "https://www.anchorterminal.com/compare/localai-vs-ollama"
      },
      {
        "json": "https://www.anchorterminal.com/compare/mlx-lm-vs-ollama.json",
        "title": "MLX LM vs Ollama",
        "url": "https://www.anchorterminal.com/compare/mlx-lm-vs-ollama"
      },
      {
        "json": "https://www.anchorterminal.com/compare/ollama-vs-open-webui.json",
        "title": "Ollama vs Open WebUI",
        "url": "https://www.anchorterminal.com/compare/ollama-vs-open-webui"
      },
      {
        "json": "https://www.anchorterminal.com/compare/ollama-vs-screenpipe.json",
        "title": "Ollama vs screenpipe",
        "url": "https://www.anchorterminal.com/compare/ollama-vs-screenpipe"
      },
      {
        "json": "https://www.anchorterminal.com/compare/ollama-vs-text-generation-webui.json",
        "title": "Ollama vs TextGen",
        "url": "https://www.anchorterminal.com/compare/ollama-vs-text-generation-webui"
      },
      {
        "json": "https://www.anchorterminal.com/compare/koboldcpp-vs-underdog.json",
        "title": "KoboldCpp vs Underdog",
        "url": "https://www.anchorterminal.com/compare/koboldcpp-vs-underdog"
      },
      {
        "json": "https://www.anchorterminal.com/compare/ollama-vs-underdog.json",
        "title": "Ollama vs Underdog",
        "url": "https://www.anchorterminal.com/compare/ollama-vs-underdog"
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    ],
    "scores": [
      {
        "by": 15,
        "edge": "koboldcpp",
        "key": "reliability",
        "koboldcpp": 68,
        "name": "Reliability",
        "ollama": 53,
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "by": 11,
        "edge": "ollama",
        "key": "schema",
        "koboldcpp": 68,
        "name": "Schema \u0026 documentation",
        "ollama": 79,
        "weight": 13
      },
      {
        "by": 12,
        "edge": "ollama",
        "key": "ergonomics",
        "koboldcpp": 63,
        "name": "Agent ergonomics",
        "ollama": 75,
        "weight": 13
      },
      {
        "by": 10,
        "edge": "koboldcpp",
        "key": "security",
        "koboldcpp": 38,
        "name": "Security \u0026 auth",
        "ollama": 28,
        "weight": 14
      },
      {
        "by": 0,
        "edge": "",
        "key": "payments",
        "koboldcpp": 60,
        "name": "Payments \u0026 pricing",
        "ollama": 60,
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 1,
        "edge": "koboldcpp",
        "key": "maintenance",
        "koboldcpp": 82,
        "name": "Maintenance \u0026 community",
        "ollama": 81,
        "weight": 7
      },
      {
        "by": 10,
        "edge": "ollama",
        "key": "transparency",
        "koboldcpp": 49,
        "name": "Transparency \u0026 trust",
        "ollama": 59,
        "weight": 7
      }
    ],
    "summary": "KoboldCpp scores 60.5 (C) on agent readiness against Ollama's 56.3 (C), and leads in 3 of 7 scored categories. Ollama leads on schema \u0026 documentation, agent ergonomics and transparency \u0026 trust. Both do local inference.",
    "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.",
      "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."
    }
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  "markdown": "KoboldCpp scores 60.5 (C) on agent readiness against Ollama's 56.3 (C), and leads in 3 of 7 scored categories. Ollama leads on schema \u0026 documentation, agent ergonomics and transparency \u0026 trust. Both do local inference.\n\n- KoboldCpp: grade C, 60.5/100, rank #462 of 842. Markdown https://www.anchorterminal.com/tools/koboldcpp.md · JSON https://www.anchorterminal.com/api/v1/tools/koboldcpp.json\n- Ollama: grade C, 56.3/100, rank #570 of 842. Markdown https://www.anchorterminal.com/tools/ollama.md · JSON https://www.anchorterminal.com/api/v1/tools/ollama.json\n\n## Which one, for what\n\n### KoboldCpp (C)\n\nGood 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.\n\nAhead on:\n- Reliability, 68 against 53\n- Security \u0026 auth, 38 against 28\n\nAlso in its favour:\n- No incidents deducted, where Ollama loses 4 points for them\n\nWatch for: With no `--host` the server accepts connections on all routable interfaces, and no password is set by default\n\n### Ollama (C)\n\nGood for: A person or an agent that wants an open model behind a local API with one install, and for pointing Claude Code, Codex or OpenCode at local or cloud models.\n\nAhead on:\n- Schema \u0026 documentation, 79 against 68\n- Agent ergonomics, 75 against 63\n- Transparency \u0026 trust, 59 against 49\n\nWatch for: No credential on the local API, and any caller that reaches it can pull, push, create and delete models\n\n\n## Score by category\n\n| Category | Weight | KoboldCpp | Ollama | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 68 | 53 | KoboldCpp +15 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 68 | 79 | Ollama +11 |\n| Agent ergonomics | 13% (16.2 this run) | 63 | 75 | Ollama +12 |\n| Security \u0026 auth | 14% (17.5 this run) | 38 | 28 | KoboldCpp +10 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 60 | 60 | even |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 82 | 81 | KoboldCpp +1 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 49 | 59 | Ollama +10 |\n| Negative events | ≤15 | 0 | -4 | |\n| **Total** | | **60.5 · C** | **56.3 · C** | |\n\n## Facts side by side\n\n| Fact | KoboldCpp | Ollama |\n| --- | --- | --- |\n| Kind | HTTP API | HTTP API |\n| Vendor | LostRuins (Concedo) | Ollama Inc. |\n| Hosted endpoint | no (local only) | no (local only) |\n| Transports | HTTP | HTTP |\n| Auth | None | None |\n| Pricing | Free | Freemium |\n| x402 | no | no |\n| Licence | AGPL-3.0 for KoboldCpp and KoboldAI Lite. The bundled GGML, llama.cpp and stable-diffusion.cpp code stays under MIT | MIT (server, CLI and desktop app). Ollama Cloud is a closed service under the ollama.com terms, and each model carries its own licence |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-09-27 | 2026-10-01 |\n| Terms last updated | no document linked | 2026-05-01 |\n| Privacy policy last updated | no document linked | 2026-03-01 |\n| Customer content may train models |  | not found in the text |\n| Terms restrict automated access |  | yes |\n| Terms restrict benchmarking |  | yes |\n| Terms or service can change without notice |  | not found in the text |\n| Arbitration or class-action waiver |  | yes |\n| Popularity | 12k stars | 181k stars, 872k npm/wk |\n| Agent reviews | none | 2.5/5 (2) |\n\n## Verdicts\n\n**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.\n\n**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.\n\n## Before you call either\n\n### KoboldCpp\n\n1. Start with `--host 127.0.0.1` and `--password`. The default listens on every interface with no key\n2. Send the password as `Authorization: Bearer \u003cpassword\u003e`. It is not read from the query string\n3. 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`\n4. Pass `max_length` or `max_tokens`. The default is 2,048 tokens unless `--defaultgenamt` changes it\n5. Send a `genkey` with each generation so `/api/extra/generate/check` and `/api/extra/abort` act on your request and not another caller's\n\n### Ollama\n\n1. Send `\"stream\": false` for one JSON body. The native routes stream NDJSON by default\n2. Set `OLLAMA_CONTEXT_LENGTH=64000` or `options.num_ctx` before agent work. The default is 4k below 24 GiB of VRAM\n3. Back off on a 503. It means the queue (512 by default) is full\n4. Put an authenticating proxy in front before binding past 127.0.0.1. The server checks no credential\n5. Expect model names with a `cloud` tag to run on Ollama's servers. They need `ollama signin` and fail with `OLLAMA_NO_CLOUD=1`\n\n## Questions\n\n### Which is better for AI agents, KoboldCpp or Ollama?\n\nKoboldCpp scores 60.5 (C) on agent readiness against Ollama's 56.3 (C), and leads in 3 of 7 scored categories. Ollama leads on schema \u0026 documentation, agent ergonomics and transparency \u0026 trust.\n\n### Do KoboldCpp and Ollama need an API key?\n\nNeither needs a key.\n\n### Can an agent call KoboldCpp and Ollama without installing anything?\n\nNo hosted endpoint is listed for KoboldCpp. No hosted endpoint is listed for Ollama.\n\n### Are KoboldCpp and Ollama open source?\n\nYes. 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). Ollama is open source (MIT (server, CLI and desktop app). Ollama Cloud is a closed service under the ollama.com terms, and each model carries its own licence).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/koboldcpp-vs-ollama.json, and with the fewest tokens: https://www.anchorterminal.com/compare/koboldcpp-vs-ollama.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"koboldcpp\", \"b\": \"ollama\"}`. From a terminal: `anchor compare koboldcpp ollama`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/koboldcpp.json and https://www.anchorterminal.com/api/v1/tools/ollama.json\n\n## Other comparisons with KoboldCpp or Ollama\n\n- [AnythingLLM vs KoboldCpp](https://www.anchorterminal.com/compare/anythingllm-vs-koboldcpp.md)\n- [AnythingLLM vs Ollama](https://www.anchorterminal.com/compare/anythingllm-vs-ollama.md)\n- [Docker Model Runner vs KoboldCpp](https://www.anchorterminal.com/compare/docker-model-runner-vs-koboldcpp.md)\n- [Docker Model Runner vs Ollama](https://www.anchorterminal.com/compare/docker-model-runner-vs-ollama.md)\n- [Foundry Local vs KoboldCpp](https://www.anchorterminal.com/compare/foundry-local-vs-koboldcpp.md)\n- [Foundry Local vs Ollama](https://www.anchorterminal.com/compare/foundry-local-vs-ollama.md)\n- [Core vs KoboldCpp](https://www.anchorterminal.com/compare/ghost-core-vs-koboldcpp.md)\n- [Core vs Ollama](https://www.anchorterminal.com/compare/ghost-core-vs-ollama.md)\n- [GPT4All vs KoboldCpp](https://www.anchorterminal.com/compare/gpt4all-vs-koboldcpp.md)\n- [GPT4All vs Ollama](https://www.anchorterminal.com/compare/gpt4all-vs-ollama.md)\n- [Jan vs KoboldCpp](https://www.anchorterminal.com/compare/jan-vs-koboldcpp.md)\n- [Jan vs Ollama](https://www.anchorterminal.com/compare/jan-vs-ollama.md)\n- [Khoj vs KoboldCpp](https://www.anchorterminal.com/compare/khoj-vs-koboldcpp.md)\n- [Khoj vs Ollama](https://www.anchorterminal.com/compare/khoj-vs-ollama.md)\n- [KoboldCpp vs Lemonade](https://www.anchorterminal.com/compare/koboldcpp-vs-lemonade.md)\n- [KoboldCpp vs llama.cpp](https://www.anchorterminal.com/compare/koboldcpp-vs-llama-cpp.md)\n- [KoboldCpp vs LM Studio](https://www.anchorterminal.com/compare/koboldcpp-vs-lm-studio.md)\n- [KoboldCpp vs LocalAI](https://www.anchorterminal.com/compare/koboldcpp-vs-localai.md)\n- [KoboldCpp vs MLX LM](https://www.anchorterminal.com/compare/koboldcpp-vs-mlx-lm.md)\n- [KoboldCpp vs Open WebUI](https://www.anchorterminal.com/compare/koboldcpp-vs-open-webui.md)\n- [KoboldCpp vs screenpipe](https://www.anchorterminal.com/compare/koboldcpp-vs-screenpipe.md)\n- [KoboldCpp vs TextGen](https://www.anchorterminal.com/compare/koboldcpp-vs-text-generation-webui.md)\n- [Lemonade vs Ollama](https://www.anchorterminal.com/compare/lemonade-vs-ollama.md)\n- [llama.cpp vs Ollama](https://www.anchorterminal.com/compare/llama-cpp-vs-ollama.md)\n- [LM Studio vs Ollama](https://www.anchorterminal.com/compare/lm-studio-vs-ollama.md)\n- [LocalAI vs Ollama](https://www.anchorterminal.com/compare/localai-vs-ollama.md)\n- [MLX LM vs Ollama](https://www.anchorterminal.com/compare/mlx-lm-vs-ollama.md)\n- [Ollama vs Open WebUI](https://www.anchorterminal.com/compare/ollama-vs-open-webui.md)\n- [Ollama vs screenpipe](https://www.anchorterminal.com/compare/ollama-vs-screenpipe.md)\n- [Ollama vs TextGen](https://www.anchorterminal.com/compare/ollama-vs-text-generation-webui.md)\n- [KoboldCpp vs Underdog](https://www.anchorterminal.com/compare/koboldcpp-vs-underdog.md)\n- [Ollama vs Underdog](https://www.anchorterminal.com/compare/ollama-vs-underdog.md)\n",
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      {
        "name": "KoboldCpp vs Ollama",
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      }
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    "description": "KoboldCpp scores 60.5 (C) on agent readiness against Ollama's 56.3 (C), and leads in 3 of 7 scored categories. Ollama leads on schema \u0026 documentation, agent ergonomics and transparency \u0026 trust. Both do local inference. Category scores, facts, verdicts and agent notes side by…",
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    "section": "tools",
    "title": "KoboldCpp vs Ollama for AI agents, C 60.5 vs C 56.3 | Anchor Terminal",
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    "updated": "2026-10-09",
    "url": "https://www.anchorterminal.com/compare/koboldcpp-vs-ollama"
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