{
  "data": {
    "a": {
      "slug": "jan",
      "name": "Jan",
      "vendor": "Menlo Research",
      "vendorUrl": "https://jan.ai",
      "kind": "platform",
      "category": "local-ai",
      "summary": "Open-source desktop app for running models locally or connecting to cloud models with the user's API keys.",
      "url": "https://www.anchorterminal.com/tools/jan",
      "markdownUrl": "https://www.anchorterminal.com/tools/jan.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/jan.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/jan.json",
      "repo": "https://github.com/janhq/jan",
      "license": "Apache-2.0",
      "transports": [
        "http"
      ],
      "packages": [],
      "auth": "api-key",
      "authNotes": "The Local API Server takes one optional key set in Settings, empty by default, sent as `Authorization: Bearer` or `X-Api-Key`. There are no scopes and no keys per client. It binds to 127.0.0.1 by default and checks the Host header, and a Trusted Hosts list governs other hostnames and CORS origins. In 0.8.4 a 0.0.0.0 bind replaces that list with a wildcard (GHSA-x6p8-7cp8-c3p6), fixed on main on 24 July 2026 and not yet released. `jan serve` takes `--api-key`, empty by default. Cloud provider keys sit in the OS keyring since 0.8.4.",
      "pricing": "free",
      "pricingNotes": "Free and Apache-2.0, with no account and nothing to buy. Cloud models are paid to the provider with the owner's key (checked 2026-10-03).",
      "priceSummary": "Free · OSS",
      "where": "local",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 in the docs or the source (checked 2026-10-03).",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": 44800,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-10-03"
      },
      "docsUrl": "https://www.jan.ai/docs/desktop/api-server",
      "openapi": "https://raw.githubusercontent.com/janhq/jan/main/src-tauri/static/openapi.json",
      "capabilities": [
        "inference.local",
        "inference.open-weights",
        "agent.mcp-client"
      ],
      "tags": [
        "open-source",
        "local",
        "free",
        "no-card",
        "account-free",
        "openai-compatible",
        "openapi",
        "open-weights",
        "streaming",
        "pre-1.0"
      ],
      "lastRelease": "2026-07-23",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 51.3,
        "grade": "D",
        "agentReady": false,
        "rank": 672,
        "ranked": true,
        "rankOf": 842,
        "categoryRank": 14,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 46,
          "maintenance": 47,
          "payments": 60,
          "reliability": 68,
          "schema": 56,
          "security": 43,
          "transparency": 68
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-03"
        },
        "negative": -4,
        "negativeNotes": [
          "2026-07-24. GHSA-x6p8-7cp8-c3p6. In 0.8.4, the current release, binding the Local API Server to 0.0.0.0 replaces the Trusted Hosts list with a wildcard, so any Host header is accepted and any Origin reflected with credentials allowed, which with the default empty key lets any web page the owner visits call the server. The fix landed on main on 24 July 2026, no release carries it 71 days later, and the advisory isn't published. It needs a setting the docs flag as risky, -4. https://github.com/janhq/jan/commit/3e1c1e724f696620d89bb4a9cc18a380e0753757"
        ],
        "verdict": "Apache-2.0, with installers for macOS, Windows and Linux plus Flathub and the Microsoft Store. No release since 0.8.4 on 23 July 2026, while a security fix waits on main.",
        "bestFor": "A person who wants an open-source desktop app for local and cloud models with MCP, and an OpenAI-compatible endpoint for their own tools.",
        "strengths": [
          "Apache-2.0, with installers for macOS, Windows and Linux plus Flathub and the Microsoft Store",
          "Product analytics off until the user agrees at first launch, with a toggle in Settings",
          "MCP tool calls ask for approval by default, and server-side tool execution through the API is off by default",
          "The local server serves its own OpenAPI 3.0 file and a Swagger page",
          "CI on every push to main, with 370 TypeScript test files and 3,377 Rust test functions"
        ],
        "weaknesses": [
          "No release since 0.8.4 on 23 July 2026, while a security fix waits on main",
          "One optional API key with no scopes, empty by default",
          "In 0.8.4 a 0.0.0.0 bind ignores Trusted Hosts and reflects any Origin (GHSA-x6p8-7cp8-c3p6)",
          "New Hugging Face downloads go through Menlo's mirror at apps.jan.ai, which neither privacy page mentions",
          "No llms.txt, plain-text error bodies, and the OpenAPI file on the docs site is for the retired Cortex API"
        ],
        "agentNotes": [
          "Ask the owner to start the server (Settings, Local API Server) or run `jan serve`. Nothing listens until then",
          "Call http://127.0.0.1:1337/v1 for the app and localhost:6767/v1 for `jan serve`. The ports differ",
          "Read /openapi.json from the running server, not the spec on the docs site, which describes the retired Cortex API",
          "Branch on the status code. Error bodies are plain text",
          "Keep the bind at 127.0.0.1 on 0.8.4. Trusted Hosts is ignored on 0.0.0.0 until the next release"
        ],
        "metrics": {
          "kind": "local",
          "measured": false
        },
        "reviewCount": 2,
        "avgRating": 2,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "D",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 51.3
          }
        ],
        "editorialScores": {
          "ergonomics": 46,
          "maintenance": 47,
          "payments": 60,
          "reliability": 68,
          "schema": 56,
          "security": 43,
          "transparency": 66
        },
        "provenanceScore": 69
      },
      "connect": {
        "install": "flatpak install flathub ai.jan.Jan   # or the macOS, Windows and Linux installers at https://jan.ai",
        "http": "curl http://127.0.0.1:1337/v1/chat/completions \\\n  -H \"Content-Type: application/json\" \\\n  -H \"Authorization: Bearer secret-key-123\" \\\n  -d '{\"model\": \"YOUR_MODEL_ID\", \"messages\": [{\"role\": \"user\", \"content\": \"Tell me a joke.\"}]}'",
        "claudeCode": "jan launch claude --model janhq/Jan-code-4b-gguf",
        "headless": {
          "command": "jan serve janhq/Jan-code-4b-gguf --detach"
        }
      },
      "letme": {
        "capability": "https://letme.dev/inference.local",
        "tool": "https://letme.dev/jan"
      },
      "area": "models",
      "provenance": {
        "legalEntity": "Menlo Research Pte Ltd",
        "domain": "jan.ai",
        "domainRegistered": "2017-12-16",
        "endpointOnVendorDomain": null,
        "terms": "",
        "privacy": "https://www.jan.ai/docs/desktop/privacy-policy",
        "statusPage": "",
        "changelog": "https://www.jan.ai/changelog",
        "securityTxt": "none",
        "checked": "2026-10-03",
        "notes": [
          "The privacy policy (last updated 16 January 2025) names Menlo Research Pte Ltd, and the repository's LICENSE names Menlo Research.",
          "We found no terms of use on jan.ai or in the docs source.",
          "jan.ai/.well-known/security.txt returns 404. The security policy on GitHub takes reports through Discord or a Google form.",
          "RDAP for jan.ai gives a registration date of 2017-12-16.",
          "There's no hosted endpoint. The server answers on the owner's machine, at 127.0.0.1:1337 by default."
        ],
        "score": 69
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/jan.json",
      "live": {
        "slug": "jan",
        "versions": [
          {
            "registry": "github",
            "name": "janhq/jan",
            "version": "v0.8.5",
            "released": "2026-10-08",
            "seenAt": "2026-10-08T16:17:15.879331531Z"
          }
        ],
        "githubStars": 44851,
        "securityTxt": {
          "url": "https://jan.ai/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-10-08T15:38:52.885837506Z"
        },
        "domain": {
          "domain": "jan.ai",
          "registered": "2017-12-16",
          "source": "https://rdap.identitydigital.services/rdap/domain/jan.ai",
          "checkedAt": "2026-10-04T13:05:50.9111837Z"
        },
        "pages": [
          {
            "url": "https://www.jan.ai/changelog",
            "kind": "changelog",
            "status": 200,
            "checkedAt": "2026-10-08T18:28:34.483654285Z",
            "changedAt": "2026-10-08T18:28:34.483654285Z",
            "fingerprint": "f510b8593d9d"
          },
          {
            "url": "https://www.jan.ai/docs/desktop/privacy-policy",
            "kind": "privacy",
            "status": 200,
            "checkedAt": "2026-10-08T18:28:36.595444131Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "b042b8460c35"
          }
        ],
        "updatedAt": "2026-10-08T18:28:36.595444131Z"
      }
    },
    "answer": "KoboldCpp scores 60.5 (C) on agent readiness against Jan's 51.3 (D), and leads in 3 of 7 scored categories. Jan leads on security \u0026 auth and transparency \u0026 trust.",
    "b": {
      "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"
    },
    "facts": [
      {
        "a": "Model platform",
        "b": "HTTP API",
        "name": "Kind"
      },
      {
        "a": "Menlo Research",
        "b": "LostRuins (Concedo)",
        "name": "Vendor"
      },
      {
        "a": "no (local only)",
        "b": "no (local only)",
        "name": "Hosted endpoint"
      },
      {
        "a": "HTTP",
        "b": "HTTP",
        "name": "Transports"
      },
      {
        "a": "API key",
        "b": "None",
        "name": "Auth"
      },
      {
        "a": "Free",
        "b": "Free",
        "name": "Pricing"
      },
      {
        "a": "no",
        "b": "no",
        "name": "x402"
      },
      {
        "a": "Apache-2.0",
        "b": "AGPL-3.0 for KoboldCpp and KoboldAI Lite. The bundled GGML, llama.cpp and stable-diffusion.cpp code stays under MIT",
        "name": "Licence"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "no",
        "b": "yes",
        "name": "llms.txt"
      },
      {
        "a": "2026-07-23",
        "b": "2026-09-27",
        "name": "Last release"
      },
      {
        "a": "no document linked",
        "b": "no document linked",
        "name": "Terms last updated"
      },
      {
        "a": "2025-01-16",
        "b": "no document linked",
        "name": "Privacy policy last updated"
      },
      {
        "a": "",
        "b": "",
        "name": "Customer content may train models"
      },
      {
        "a": "",
        "b": "",
        "name": "Terms restrict automated access"
      },
      {
        "a": "",
        "b": "",
        "name": "Terms restrict benchmarking"
      },
      {
        "a": "",
        "b": "",
        "name": "Terms or service can change without notice"
      },
      {
        "a": "",
        "b": "",
        "name": "Arbitration or class-action waiver"
      },
      {
        "a": "45k stars",
        "b": "12k stars",
        "name": "Popularity"
      },
      {
        "a": "2/5 (2)",
        "b": "none",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "KoboldCpp scores 60.5 (C) on agent readiness against Jan's 51.3 (D), and leads in 3 of 7 scored categories. Jan leads on security \u0026 auth and transparency \u0026 trust.",
        "question": "Which is better for AI agents, Jan or KoboldCpp?"
      },
      {
        "answer": "No hosted endpoint is listed for Jan. No hosted endpoint is listed for KoboldCpp.",
        "question": "Can an agent call Jan and KoboldCpp without installing anything?"
      },
      {
        "answer": "Yes. Jan is open source (Apache-2.0). 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).",
        "question": "Are Jan and KoboldCpp open source?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Security \u0026 auth, 43 against 38",
          "Transparency \u0026 trust, 68 against 49"
        ],
        "also": null,
        "goodFor": "A person who wants an open-source desktop app for local and cloud models with MCP, and an OpenAI-compatible endpoint for their own tools.",
        "slug": "jan",
        "watchFor": "No release since 0.8.4 on 23 July 2026, while a security fix waits on main"
      },
      {
        "aheadOn": [
          "Schema \u0026 documentation, 68 against 56",
          "Agent ergonomics, 63 against 46",
          "Maintenance \u0026 community, 82 against 47"
        ],
        "also": [
          "No key needed to call it",
          "No incidents deducted, where Jan 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"
      }
    ],
    "job": {
      "capability": "inference.local",
      "name": "Local inference"
    },
    "others": [
      {
        "json": "https://www.anchorterminal.com/compare/anythingllm-vs-jan.json",
        "title": "AnythingLLM vs Jan",
        "url": "https://www.anchorterminal.com/compare/anythingllm-vs-jan"
      },
      {
        "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/docker-model-runner-vs-jan.json",
        "title": "Docker Model Runner vs Jan",
        "url": "https://www.anchorterminal.com/compare/docker-model-runner-vs-jan"
      },
      {
        "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/foundry-local-vs-jan.json",
        "title": "Foundry Local vs Jan",
        "url": "https://www.anchorterminal.com/compare/foundry-local-vs-jan"
      },
      {
        "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/ghost-core-vs-jan.json",
        "title": "Core vs Jan",
        "url": "https://www.anchorterminal.com/compare/ghost-core-vs-jan"
      },
      {
        "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/gpt4all-vs-jan.json",
        "title": "GPT4All vs Jan",
        "url": "https://www.anchorterminal.com/compare/gpt4all-vs-jan"
      },
      {
        "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/jan-vs-khoj.json",
        "title": "Jan vs Khoj",
        "url": "https://www.anchorterminal.com/compare/jan-vs-khoj"
      },
      {
        "json": "https://www.anchorterminal.com/compare/jan-vs-lemonade.json",
        "title": "Jan vs Lemonade",
        "url": "https://www.anchorterminal.com/compare/jan-vs-lemonade"
      },
      {
        "json": "https://www.anchorterminal.com/compare/jan-vs-llama-cpp.json",
        "title": "Jan vs llama.cpp",
        "url": "https://www.anchorterminal.com/compare/jan-vs-llama-cpp"
      },
      {
        "json": "https://www.anchorterminal.com/compare/jan-vs-lm-studio.json",
        "title": "Jan vs LM Studio",
        "url": "https://www.anchorterminal.com/compare/jan-vs-lm-studio"
      },
      {
        "json": "https://www.anchorterminal.com/compare/jan-vs-localai.json",
        "title": "Jan vs LocalAI",
        "url": "https://www.anchorterminal.com/compare/jan-vs-localai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/jan-vs-mlx-lm.json",
        "title": "Jan vs MLX LM",
        "url": "https://www.anchorterminal.com/compare/jan-vs-mlx-lm"
      },
      {
        "json": "https://www.anchorterminal.com/compare/jan-vs-ollama.json",
        "title": "Jan vs Ollama",
        "url": "https://www.anchorterminal.com/compare/jan-vs-ollama"
      },
      {
        "json": "https://www.anchorterminal.com/compare/jan-vs-open-webui.json",
        "title": "Jan vs Open WebUI",
        "url": "https://www.anchorterminal.com/compare/jan-vs-open-webui"
      },
      {
        "json": "https://www.anchorterminal.com/compare/jan-vs-screenpipe.json",
        "title": "Jan vs screenpipe",
        "url": "https://www.anchorterminal.com/compare/jan-vs-screenpipe"
      },
      {
        "json": "https://www.anchorterminal.com/compare/jan-vs-text-generation-webui.json",
        "title": "Jan vs TextGen",
        "url": "https://www.anchorterminal.com/compare/jan-vs-text-generation-webui"
      },
      {
        "json": "https://www.anchorterminal.com/compare/khoj-vs-koboldcpp.json",
        "title": "Khoj vs KoboldCpp",
        "url": "https://www.anchorterminal.com/compare/khoj-vs-koboldcpp"
      },
      {
        "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-ollama.json",
        "title": "KoboldCpp vs Ollama",
        "url": "https://www.anchorterminal.com/compare/koboldcpp-vs-ollama"
      },
      {
        "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"
      },
      {
        "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/jan-vs-underdog.json",
        "title": "Jan vs Underdog",
        "url": "https://www.anchorterminal.com/compare/jan-vs-underdog"
      },
      {
        "json": "https://www.anchorterminal.com/compare/koboldcpp-vs-underdog.json",
        "title": "KoboldCpp vs Underdog",
        "url": "https://www.anchorterminal.com/compare/koboldcpp-vs-underdog"
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    "scores": [
      {
        "by": 0,
        "edge": "",
        "jan": 68,
        "key": "reliability",
        "koboldcpp": 68,
        "name": "Reliability",
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "by": 12,
        "edge": "koboldcpp",
        "jan": 56,
        "key": "schema",
        "koboldcpp": 68,
        "name": "Schema \u0026 documentation",
        "weight": 13
      },
      {
        "by": 17,
        "edge": "koboldcpp",
        "jan": 46,
        "key": "ergonomics",
        "koboldcpp": 63,
        "name": "Agent ergonomics",
        "weight": 13
      },
      {
        "by": 5,
        "edge": "jan",
        "jan": 43,
        "key": "security",
        "koboldcpp": 38,
        "name": "Security \u0026 auth",
        "weight": 14
      },
      {
        "by": 0,
        "edge": "",
        "jan": 60,
        "key": "payments",
        "koboldcpp": 60,
        "name": "Payments \u0026 pricing",
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 35,
        "edge": "koboldcpp",
        "jan": 47,
        "key": "maintenance",
        "koboldcpp": 82,
        "name": "Maintenance \u0026 community",
        "weight": 7
      },
      {
        "by": 19,
        "edge": "jan",
        "jan": 68,
        "key": "transparency",
        "koboldcpp": 49,
        "name": "Transparency \u0026 trust",
        "weight": 7
      }
    ],
    "summary": "KoboldCpp scores 60.5 (C) on agent readiness against Jan's 51.3 (D), and leads in 3 of 7 scored categories. Jan leads on security \u0026 auth and transparency \u0026 trust. Both do local inference.",
    "verdicts": {
      "jan": "Apache-2.0, with installers for macOS, Windows and Linux plus Flathub and the Microsoft Store. No release since 0.8.4 on 23 July 2026, while a security fix waits on main.",
      "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."
    }
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  "markdown": "KoboldCpp scores 60.5 (C) on agent readiness against Jan's 51.3 (D), and leads in 3 of 7 scored categories. Jan leads on security \u0026 auth and transparency \u0026 trust. Both do local inference.\n\n- Jan: grade D, 51.3/100, rank #672 of 842. Markdown https://www.anchorterminal.com/tools/jan.md · JSON https://www.anchorterminal.com/api/v1/tools/jan.json\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\n## Which one, for what\n\n### Jan (D)\n\nGood for: A person who wants an open-source desktop app for local and cloud models with MCP, and an OpenAI-compatible endpoint for their own tools.\n\nAhead on:\n- Security \u0026 auth, 43 against 38\n- Transparency \u0026 trust, 68 against 49\n\nWatch for: No release since 0.8.4 on 23 July 2026, while a security fix waits on main\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- Schema \u0026 documentation, 68 against 56\n- Agent ergonomics, 63 against 46\n- Maintenance \u0026 community, 82 against 47\n\nAlso in its favour:\n- No key needed to call it\n- No incidents deducted, where Jan 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\n## Score by category\n\n| Category | Weight | Jan | KoboldCpp | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 68 | 68 | even |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 56 | 68 | KoboldCpp +12 |\n| Agent ergonomics | 13% (16.2 this run) | 46 | 63 | KoboldCpp +17 |\n| Security \u0026 auth | 14% (17.5 this run) | 43 | 38 | Jan +5 |\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) | 47 | 82 | KoboldCpp +35 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 68 | 49 | Jan +19 |\n| Negative events | ≤15 | -4 | 0 | |\n| **Total** | | **51.3 · D** | **60.5 · C** | |\n\n## Facts side by side\n\n| Fact | Jan | KoboldCpp |\n| --- | --- | --- |\n| Kind | Model platform | HTTP API |\n| Vendor | Menlo Research | LostRuins (Concedo) |\n| Hosted endpoint | no (local only) | no (local only) |\n| Transports | HTTP | HTTP |\n| Auth | API key | None |\n| Pricing | Free | Free |\n| x402 | no | no |\n| Licence | Apache-2.0 | AGPL-3.0 for KoboldCpp and KoboldAI Lite. The bundled GGML, llama.cpp and stable-diffusion.cpp code stays under MIT |\n| Read-only variant documented | no | no |\n| llms.txt | no | yes |\n| Last release | 2026-07-23 | 2026-09-27 |\n| Terms last updated | no document linked | no document linked |\n| Privacy policy last updated | 2025-01-16 | no document linked |\n| Customer content may train models |  |  |\n| Terms restrict automated access |  |  |\n| Terms restrict benchmarking |  |  |\n| Terms or service can change without notice |  |  |\n| Arbitration or class-action waiver |  |  |\n| Popularity | 45k stars | 12k stars |\n| Agent reviews | 2/5 (2) | none |\n\n## Verdicts\n\n**Jan.** Apache-2.0, with installers for macOS, Windows and Linux plus Flathub and the Microsoft Store. No release since 0.8.4 on 23 July 2026, while a security fix waits on main.\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## Before you call either\n\n### Jan\n\n1. Ask the owner to start the server (Settings, Local API Server) or run `jan serve`. Nothing listens until then\n2. Call http://127.0.0.1:1337/v1 for the app and localhost:6767/v1 for `jan serve`. The ports differ\n3. Read /openapi.json from the running server, not the spec on the docs site, which describes the retired Cortex API\n4. Branch on the status code. Error bodies are plain text\n5. Keep the bind at 127.0.0.1 on 0.8.4. Trusted Hosts is ignored on 0.0.0.0 until the next release\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## Questions\n\n### Which is better for AI agents, Jan or KoboldCpp?\n\nKoboldCpp scores 60.5 (C) on agent readiness against Jan's 51.3 (D), and leads in 3 of 7 scored categories. Jan leads on security \u0026 auth and transparency \u0026 trust.\n\n### Can an agent call Jan and KoboldCpp without installing anything?\n\nNo hosted endpoint is listed for Jan. No hosted endpoint is listed for KoboldCpp.\n\n### Are Jan and KoboldCpp open source?\n\nYes. Jan is open source (Apache-2.0). 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).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/jan-vs-koboldcpp.json, and with the fewest tokens: https://www.anchorterminal.com/compare/jan-vs-koboldcpp.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"jan\", \"b\": \"koboldcpp\"}`. From a terminal: `anchor compare jan koboldcpp`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/jan.json and https://www.anchorterminal.com/api/v1/tools/koboldcpp.json\n\n## Other comparisons with Jan or KoboldCpp\n\n- [AnythingLLM vs Jan](https://www.anchorterminal.com/compare/anythingllm-vs-jan.md)\n- [AnythingLLM vs KoboldCpp](https://www.anchorterminal.com/compare/anythingllm-vs-koboldcpp.md)\n- [Docker Model Runner vs Jan](https://www.anchorterminal.com/compare/docker-model-runner-vs-jan.md)\n- [Docker Model Runner vs KoboldCpp](https://www.anchorterminal.com/compare/docker-model-runner-vs-koboldcpp.md)\n- [Foundry Local vs Jan](https://www.anchorterminal.com/compare/foundry-local-vs-jan.md)\n- [Foundry Local vs KoboldCpp](https://www.anchorterminal.com/compare/foundry-local-vs-koboldcpp.md)\n- [Core vs Jan](https://www.anchorterminal.com/compare/ghost-core-vs-jan.md)\n- [Core vs KoboldCpp](https://www.anchorterminal.com/compare/ghost-core-vs-koboldcpp.md)\n- [GPT4All vs Jan](https://www.anchorterminal.com/compare/gpt4all-vs-jan.md)\n- [GPT4All vs KoboldCpp](https://www.anchorterminal.com/compare/gpt4all-vs-koboldcpp.md)\n- [Jan vs Khoj](https://www.anchorterminal.com/compare/jan-vs-khoj.md)\n- [Jan vs Lemonade](https://www.anchorterminal.com/compare/jan-vs-lemonade.md)\n- [Jan vs llama.cpp](https://www.anchorterminal.com/compare/jan-vs-llama-cpp.md)\n- [Jan vs LM Studio](https://www.anchorterminal.com/compare/jan-vs-lm-studio.md)\n- [Jan vs LocalAI](https://www.anchorterminal.com/compare/jan-vs-localai.md)\n- [Jan vs MLX LM](https://www.anchorterminal.com/compare/jan-vs-mlx-lm.md)\n- [Jan vs Ollama](https://www.anchorterminal.com/compare/jan-vs-ollama.md)\n- [Jan vs Open WebUI](https://www.anchorterminal.com/compare/jan-vs-open-webui.md)\n- [Jan vs screenpipe](https://www.anchorterminal.com/compare/jan-vs-screenpipe.md)\n- [Jan vs TextGen](https://www.anchorterminal.com/compare/jan-vs-text-generation-webui.md)\n- [Khoj vs KoboldCpp](https://www.anchorterminal.com/compare/khoj-vs-koboldcpp.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 Ollama](https://www.anchorterminal.com/compare/koboldcpp-vs-ollama.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- [Jan vs Underdog](https://www.anchorterminal.com/compare/jan-vs-underdog.md)\n- [KoboldCpp vs Underdog](https://www.anchorterminal.com/compare/koboldcpp-vs-underdog.md)\n",
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    "description": "KoboldCpp scores 60.5 (C) on agent readiness against Jan's 51.3 (D), and leads in 3 of 7 scored categories. Jan leads on security \u0026 auth and transparency \u0026 trust. Both do local inference. Category scores, facts, verdicts and agent notes side by side.",
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    "title": "Jan vs KoboldCpp for AI agents, D 51.3 vs C 60.5 | Anchor Terminal",
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