{
  "data": {
    "a": {
      "slug": "gpt4all",
      "name": "GPT4All",
      "vendor": "Nomic, Inc.",
      "vendorUrl": "https://www.nomic.ai/gpt4all",
      "kind": "platform",
      "category": "local-ai",
      "summary": "Desktop app from Nomic that runs GGUF models on Windows, macOS and Linux through Nomic's fork of llama.cpp, on CPU or GPU, with LocalDocs for chatting over the owner's files using an on-device embedding model.",
      "url": "https://www.anchorterminal.com/tools/gpt4all",
      "markdownUrl": "https://www.anchorterminal.com/tools/gpt4all.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/gpt4all.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/gpt4all.json",
      "repo": "https://github.com/nomic-ai/gpt4all",
      "license": "MIT (app, backend and bindings). Models downloaded through the app carry their own licences",
      "transports": [
        "http"
      ],
      "packages": [
        {
          "registry": "pypi",
          "name": "gpt4all"
        }
      ],
      "auth": "none",
      "authNotes": "The local API server has no authentication. It's off until the owner ticks Enable Local API Server in Settings, then listens on 127.0.0.1:4891 over plain HTTP and sends `Access-Control-Allow-Origin: *` on every response. Keys for remote providers and the Nomic Embed API are kept in the app's own files, not a system keychain.",
      "pricing": "free",
      "pricingNotes": "Free and MIT with nothing to buy. Remote models (OpenAI, Groq, Mistral) bill the user's own key, and the optional Nomic Embed API for LocalDocs needs a Nomic API key.",
      "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": 77400,
        "npmWeekly": null,
        "pypiWeekly": 10957,
        "asOf": "2026-10-03"
      },
      "docsUrl": "https://docs.gpt4all.io",
      "capabilities": [
        "inference.local",
        "inference.open-weights",
        "memory.search",
        "embed.text"
      ],
      "tags": [
        "open-source",
        "local",
        "free",
        "no-card",
        "no-key",
        "openai-compatible",
        "open-weights",
        "python"
      ],
      "lastRelease": "2025-02-24",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 36.2,
        "grade": "F",
        "agentReady": false,
        "rank": 825,
        "ranked": true,
        "rankOf": 842,
        "categoryRank": 17,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 41,
          "maintenance": 6,
          "payments": 60,
          "reliability": 56,
          "schema": 40,
          "security": 28,
          "transparency": 56
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "high",
          "date": "2026-10-03"
        },
        "negative": -6,
        "negativeNotes": [
          "2026-06-26. Two security reports filed as public issues, unanswered, with no release since. #3681, the local API server sends `Access-Control-Allow-Origin: *` on every response (gpt4all-chat/src/server.cpp line 614) and has no authentication, so a web page open in the user's browser can call /v1/chat/completions while the server is on and read the answers, including LocalDocs snippets from the owner's files. #3682, the model catalogue and the fallback model download use plain http://gpt4all.io, and the app turns TLS certificate checks off on nine request sites. A host-header fix has sat unmerged on the mitigate-dns-rebind branch since 27 May 2025. Unfixed, with the server off by default, -6. https://github.com/nomic-ai/gpt4all/issues/3681; https://github.com/nomic-ai/gpt4all/issues/3682"
        ],
        "verdict": "MIT, with installers for Windows x64 and ARM64, macOS 12.6 or later and Linux, and published minimum and recommended hardware. No release since 24 February 2025 and no commit to main since 27 May 2025.",
        "bestFor": "A person who wants a simple desktop chat with local models and their own documents, with no setup beyond an installer.",
        "strengths": [
          "MIT, with installers for Windows x64 and ARM64, macOS 12.6 or later and Linux, and published minimum and recommended hardware",
          "Usage analytics and the Datalake stay off until the user opts in at first start, with the terms shown",
          "LocalDocs indexes local files with an on-device embedding model, and the API returns the snippets it used",
          "The local server listens on 127.0.0.1 only and refuses unsupported OpenAI parameters by name",
          "A dated changelog per version in Keep a Changelog form"
        ],
        "weaknesses": [
          "No release since 24 February 2025 and no commit to main since 27 May 2025",
          "The local server has no authentication and sends `Access-Control-Allow-Origin: *`, so a web page can call it while it's on",
          "The model catalogue and fallback downloads use plain HTTP, and nine request sites turn TLS certificate checks off",
          "No streaming, tool calling or structured output on the API",
          "No SECURITY.md or security.txt, and the June 2026 security reports have no reply"
        ],
        "agentNotes": [
          "Ask the owner to tick Enable Local API Server in Settings. Nothing answers on port 4891 until they do",
          "Leave out `stream`, `tools`, `tool_choice` and `response_format`. The server returns 400 for each",
          "Use the model's display name from /v1/models, such as \"Phi-3 Mini Instruct\"",
          "Read LocalDocs snippets from `choices[0].references`. Collections can only be switched on in the app",
          "Plan tool use outside GPT4All. Its API can't call tools"
        ],
        "metrics": {
          "kind": "local",
          "measured": false
        },
        "reviewCount": 2,
        "avgRating": 1,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "high",
            "grade": "F",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 36.2
          }
        ],
        "editorialScores": {
          "ergonomics": 41,
          "maintenance": 6,
          "payments": 60,
          "reliability": 56,
          "schema": 40,
          "security": 28,
          "transparency": 54
        },
        "provenanceScore": 58
      },
      "connect": {
        "install": "pip install gpt4all   # Python SDK. The desktop app, which runs the API server, installs from https://gpt4all.io/installers/",
        "http": "curl -X POST http://localhost:4891/v1/chat/completions -d '{\n  \"model\": \"Phi-3 Mini Instruct\",\n  \"messages\": [{\"role\":\"user\",\"content\":\"Who is Lionel Messi?\"}],\n  \"max_tokens\": 50,\n  \"temperature\": 0.28\n}'"
      },
      "letme": {
        "capability": "https://letme.dev/inference.local",
        "tool": "https://letme.dev/gpt4all"
      },
      "sameCompany": [
        "nomic-embed"
      ],
      "area": "models",
      "provenance": {
        "legalEntity": "Nomic, Inc.",
        "domain": "nomic.ai",
        "domainRegistered": "",
        "endpointOnVendorDomain": null,
        "terms": "",
        "privacy": "https://www.nomic.ai/privacy",
        "statusPage": "",
        "changelog": "https://github.com/nomic-ai/gpt4all/blob/main/gpt4all-chat/CHANGELOG.md",
        "securityTxt": "none",
        "checked": "2026-10-03",
        "notes": [
          "`LICENSE.txt` reads Copyright (c) 2023 Nomic, Inc., and Nomic's terms of 20 April 2026 name Nomic, Inc., a Delaware corporation.",
          "Nomic's terms at nomic.ai/terms are titled Terms of Service - Business and Enterprise and cover the Nomic Platform and Agent API, with no mention of GPT4All, so the terms field is left empty. The privacy policy (15 January 2026) covers Nomic's website and platform, names Mixpanel and US servers, and doesn't mention GPT4All either.",
          "nomic.ai/.well-known/security.txt returns 404, and the repository has no SECURITY.md.",
          "Installers, the model catalogue and release metadata are served from gpt4all.io, and docs from docs.gpt4all.io. There's no hosted endpoint, and the API server runs on the owner's machine."
        ],
        "score": 58
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/gpt4all.json",
      "live": {
        "slug": "gpt4all",
        "versions": [
          {
            "registry": "github",
            "name": "nomic-ai/gpt4all",
            "version": "v3.10.0",
            "released": "2025-02-25",
            "seenAt": "2026-10-08T16:14:52.035953201Z"
          },
          {
            "registry": "pypi",
            "name": "gpt4all",
            "version": "2.8.2",
            "released": "2024-08-14",
            "seenAt": "2026-10-08T16:14:51.848144818Z"
          }
        ],
        "githubStars": 77377,
        "pypiWeekly": 10592,
        "securityTxt": {
          "url": "https://nomic.ai/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-10-08T15:38:55.419973485Z"
        },
        "domain": {
          "domain": "nomic.ai",
          "registered": "2021-10-22",
          "source": "https://rdap.identitydigital.services/rdap/domain/nomic.ai",
          "checkedAt": "2026-10-04T13:09:16.171290345Z"
        },
        "pages": [
          {
            "url": "https://raw.githubusercontent.com/nomic-ai/gpt4all/main/gpt4all-chat/CHANGELOG.md",
            "kind": "changelog",
            "status": 304,
            "checkedAt": "2026-10-08T18:24:29.725233314Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "5e4e4d883d6e"
          },
          {
            "url": "https://www.nomic.ai/privacy",
            "kind": "privacy",
            "status": 200,
            "checkedAt": "2026-10-08T18:29:20.057365648Z",
            "changedAt": "2026-10-06T16:16:07.873015295Z",
            "fingerprint": "221b22e3ab3c"
          }
        ],
        "updatedAt": "2026-10-08T18:29:20.057365648Z"
      }
    },
    "answer": "KoboldCpp scores 60.5 (C) on agent readiness against GPT4All's 36.2 (F), and leads in 5 of 7 scored categories. GPT4All leads on 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": "Nomic, Inc.",
        "b": "LostRuins (Concedo)",
        "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": "Free",
        "name": "Pricing"
      },
      {
        "a": "no",
        "b": "no",
        "name": "x402"
      },
      {
        "a": "MIT (app, backend and bindings). Models downloaded through the app carry their own licences",
        "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": "2025-02-24",
        "b": "2026-09-27",
        "name": "Last release"
      },
      {
        "a": "no document linked",
        "b": "no document linked",
        "name": "Terms last updated"
      },
      {
        "a": "2026-01-15",
        "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": "77k stars, 11k PyPI/wk",
        "b": "12k stars",
        "name": "Popularity"
      },
      {
        "a": "1/5 (2)",
        "b": "none",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "KoboldCpp scores 60.5 (C) on agent readiness against GPT4All's 36.2 (F), and leads in 5 of 7 scored categories. GPT4All leads on transparency \u0026 trust.",
        "question": "Which is better for AI agents, GPT4All or KoboldCpp?"
      },
      {
        "answer": "No hosted endpoint is listed for GPT4All. No hosted endpoint is listed for KoboldCpp.",
        "question": "Can an agent call GPT4All and KoboldCpp without installing anything?"
      },
      {
        "answer": "Yes. GPT4All is open source (MIT (app, backend and bindings). Models downloaded through the app carry their own licences). 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 GPT4All and KoboldCpp open source?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Transparency \u0026 trust, 56 against 49"
        ],
        "also": null,
        "goodFor": "A person who wants a simple desktop chat with local models and their own documents, with no setup beyond an installer.",
        "slug": "gpt4all",
        "watchFor": "No release since 24 February 2025 and no commit to main since 27 May 2025"
      },
      {
        "aheadOn": [
          "Reliability, 68 against 56",
          "Schema \u0026 documentation, 68 against 40",
          "Agent ergonomics, 63 against 41",
          "Security \u0026 auth, 38 against 28",
          "Maintenance \u0026 community, 82 against 6"
        ],
        "also": [
          "No incidents deducted, where GPT4All loses 6 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-gpt4all.json",
        "title": "AnythingLLM vs GPT4All",
        "url": "https://www.anchorterminal.com/compare/anythingllm-vs-gpt4all"
      },
      {
        "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-gpt4all.json",
        "title": "Docker Model Runner vs GPT4All",
        "url": "https://www.anchorterminal.com/compare/docker-model-runner-vs-gpt4all"
      },
      {
        "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-gpt4all.json",
        "title": "Foundry Local vs GPT4All",
        "url": "https://www.anchorterminal.com/compare/foundry-local-vs-gpt4all"
      },
      {
        "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-gpt4all.json",
        "title": "Core vs GPT4All",
        "url": "https://www.anchorterminal.com/compare/ghost-core-vs-gpt4all"
      },
      {
        "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"
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        "json": "https://www.anchorterminal.com/compare/gpt4all-vs-khoj.json",
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      },
      {
        "json": "https://www.anchorterminal.com/compare/gpt4all-vs-lemonade.json",
        "title": "GPT4All vs Lemonade",
        "url": "https://www.anchorterminal.com/compare/gpt4all-vs-lemonade"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gpt4all-vs-llama-cpp.json",
        "title": "GPT4All vs llama.cpp",
        "url": "https://www.anchorterminal.com/compare/gpt4all-vs-llama-cpp"
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        "json": "https://www.anchorterminal.com/compare/gpt4all-vs-lm-studio.json",
        "title": "GPT4All vs LM Studio",
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      },
      {
        "json": "https://www.anchorterminal.com/compare/gpt4all-vs-localai.json",
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        "title": "GPT4All vs MLX LM",
        "url": "https://www.anchorterminal.com/compare/gpt4all-vs-mlx-lm"
      },
      {
        "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/gpt4all-vs-open-webui.json",
        "title": "GPT4All vs Open WebUI",
        "url": "https://www.anchorterminal.com/compare/gpt4all-vs-open-webui"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gpt4all-vs-screenpipe.json",
        "title": "GPT4All vs screenpipe",
        "url": "https://www.anchorterminal.com/compare/gpt4all-vs-screenpipe"
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        "json": "https://www.anchorterminal.com/compare/gpt4all-vs-text-generation-webui.json",
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        "url": "https://www.anchorterminal.com/compare/gpt4all-vs-text-generation-webui"
      },
      {
        "json": "https://www.anchorterminal.com/compare/jan-vs-koboldcpp.json",
        "title": "Jan vs KoboldCpp",
        "url": "https://www.anchorterminal.com/compare/jan-vs-koboldcpp"
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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"
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      {
        "json": "https://www.anchorterminal.com/compare/koboldcpp-vs-lemonade.json",
        "title": "KoboldCpp vs Lemonade",
        "url": "https://www.anchorterminal.com/compare/koboldcpp-vs-lemonade"
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        "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"
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      {
        "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"
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        "json": "https://www.anchorterminal.com/compare/koboldcpp-vs-ollama.json",
        "title": "KoboldCpp vs Ollama",
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        "title": "KoboldCpp vs TextGen",
        "url": "https://www.anchorterminal.com/compare/koboldcpp-vs-text-generation-webui"
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        "json": "https://www.anchorterminal.com/compare/gpt4all-vs-underdog.json",
        "title": "GPT4All vs Underdog",
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        "json": "https://www.anchorterminal.com/compare/gpt4all-vs-localghost.json",
        "title": "GPT4All vs LocalGhost",
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    "scores": [
      {
        "by": 12,
        "edge": "koboldcpp",
        "gpt4all": 56,
        "key": "reliability",
        "koboldcpp": 68,
        "name": "Reliability",
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "by": 28,
        "edge": "koboldcpp",
        "gpt4all": 40,
        "key": "schema",
        "koboldcpp": 68,
        "name": "Schema \u0026 documentation",
        "weight": 13
      },
      {
        "by": 22,
        "edge": "koboldcpp",
        "gpt4all": 41,
        "key": "ergonomics",
        "koboldcpp": 63,
        "name": "Agent ergonomics",
        "weight": 13
      },
      {
        "by": 10,
        "edge": "koboldcpp",
        "gpt4all": 28,
        "key": "security",
        "koboldcpp": 38,
        "name": "Security \u0026 auth",
        "weight": 14
      },
      {
        "by": 0,
        "edge": "",
        "gpt4all": 60,
        "key": "payments",
        "koboldcpp": 60,
        "name": "Payments \u0026 pricing",
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 76,
        "edge": "koboldcpp",
        "gpt4all": 6,
        "key": "maintenance",
        "koboldcpp": 82,
        "name": "Maintenance \u0026 community",
        "weight": 7
      },
      {
        "by": 7,
        "edge": "gpt4all",
        "gpt4all": 56,
        "key": "transparency",
        "koboldcpp": 49,
        "name": "Transparency \u0026 trust",
        "weight": 7
      }
    ],
    "summary": "KoboldCpp scores 60.5 (C) on agent readiness against GPT4All's 36.2 (F), and leads in 5 of 7 scored categories. GPT4All leads on transparency \u0026 trust. Both do local inference.",
    "verdicts": {
      "gpt4all": "MIT, with installers for Windows x64 and ARM64, macOS 12.6 or later and Linux, and published minimum and recommended hardware. No release since 24 February 2025 and no commit to main since 27 May 2025.",
      "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 GPT4All's 36.2 (F), and leads in 5 of 7 scored categories. GPT4All leads on transparency \u0026 trust. Both do local inference.\n\n- GPT4All: grade F, 36.2/100, rank #825 of 842. Markdown https://www.anchorterminal.com/tools/gpt4all.md · JSON https://www.anchorterminal.com/api/v1/tools/gpt4all.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### GPT4All (F)\n\nGood for: A person who wants a simple desktop chat with local models and their own documents, with no setup beyond an installer.\n\nAhead on:\n- Transparency \u0026 trust, 56 against 49\n\nWatch for: No release since 24 February 2025 and no commit to main since 27 May 2025\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 56\n- Schema \u0026 documentation, 68 against 40\n- Agent ergonomics, 63 against 41\n- Security \u0026 auth, 38 against 28\n- Maintenance \u0026 community, 82 against 6\n\nAlso in its favour:\n- No incidents deducted, where GPT4All loses 6 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 | GPT4All | KoboldCpp | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 56 | 68 | KoboldCpp +12 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 40 | 68 | KoboldCpp +28 |\n| Agent ergonomics | 13% (16.2 this run) | 41 | 63 | KoboldCpp +22 |\n| Security \u0026 auth | 14% (17.5 this run) | 28 | 38 | 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) | 6 | 82 | KoboldCpp +76 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 56 | 49 | GPT4All +7 |\n| Negative events | ≤15 | -6 | 0 | |\n| **Total** | | **36.2 · F** | **60.5 · C** | |\n\n## Facts side by side\n\n| Fact | GPT4All | KoboldCpp |\n| --- | --- | --- |\n| Kind | Model platform | HTTP API |\n| Vendor | Nomic, Inc. | LostRuins (Concedo) |\n| Hosted endpoint | no (local only) | no (local only) |\n| Transports | HTTP | HTTP |\n| Auth | None | None |\n| Pricing | Free | Free |\n| x402 | no | no |\n| Licence | MIT (app, backend and bindings). Models downloaded through the app carry their own licences | 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 | 2025-02-24 | 2026-09-27 |\n| Terms last updated | no document linked | no document linked |\n| Privacy policy last updated | 2026-01-15 | 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 | 77k stars, 11k PyPI/wk | 12k stars |\n| Agent reviews | 1/5 (2) | none |\n\n## Verdicts\n\n**GPT4All.** MIT, with installers for Windows x64 and ARM64, macOS 12.6 or later and Linux, and published minimum and recommended hardware. No release since 24 February 2025 and no commit to main since 27 May 2025.\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### GPT4All\n\n1. Ask the owner to tick Enable Local API Server in Settings. Nothing answers on port 4891 until they do\n2. Leave out `stream`, `tools`, `tool_choice` and `response_format`. The server returns 400 for each\n3. Use the model's display name from /v1/models, such as \"Phi-3 Mini Instruct\"\n4. Read LocalDocs snippets from `choices[0].references`. Collections can only be switched on in the app\n5. Plan tool use outside GPT4All. Its API can't call tools\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, GPT4All or KoboldCpp?\n\nKoboldCpp scores 60.5 (C) on agent readiness against GPT4All's 36.2 (F), and leads in 5 of 7 scored categories. GPT4All leads on transparency \u0026 trust.\n\n### Can an agent call GPT4All and KoboldCpp without installing anything?\n\nNo hosted endpoint is listed for GPT4All. No hosted endpoint is listed for KoboldCpp.\n\n### Are GPT4All and KoboldCpp open source?\n\nYes. GPT4All is open source (MIT (app, backend and bindings). Models downloaded through the app carry their own licences). 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/gpt4all-vs-koboldcpp.json, and with the fewest tokens: https://www.anchorterminal.com/compare/gpt4all-vs-koboldcpp.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"gpt4all\", \"b\": \"koboldcpp\"}`. From a terminal: `anchor compare gpt4all koboldcpp`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/gpt4all.json and https://www.anchorterminal.com/api/v1/tools/koboldcpp.json\n\n## Other comparisons with GPT4All or KoboldCpp\n\n- [AnythingLLM vs GPT4All](https://www.anchorterminal.com/compare/anythingllm-vs-gpt4all.md)\n- [AnythingLLM vs KoboldCpp](https://www.anchorterminal.com/compare/anythingllm-vs-koboldcpp.md)\n- [Docker Model Runner vs GPT4All](https://www.anchorterminal.com/compare/docker-model-runner-vs-gpt4all.md)\n- [Docker Model Runner vs KoboldCpp](https://www.anchorterminal.com/compare/docker-model-runner-vs-koboldcpp.md)\n- [Foundry Local vs GPT4All](https://www.anchorterminal.com/compare/foundry-local-vs-gpt4all.md)\n- [Foundry Local vs KoboldCpp](https://www.anchorterminal.com/compare/foundry-local-vs-koboldcpp.md)\n- [Core vs GPT4All](https://www.anchorterminal.com/compare/ghost-core-vs-gpt4all.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 Khoj](https://www.anchorterminal.com/compare/gpt4all-vs-khoj.md)\n- [GPT4All vs Lemonade](https://www.anchorterminal.com/compare/gpt4all-vs-lemonade.md)\n- [GPT4All vs llama.cpp](https://www.anchorterminal.com/compare/gpt4all-vs-llama-cpp.md)\n- [GPT4All vs LM Studio](https://www.anchorterminal.com/compare/gpt4all-vs-lm-studio.md)\n- [GPT4All vs LocalAI](https://www.anchorterminal.com/compare/gpt4all-vs-localai.md)\n- [GPT4All vs MLX LM](https://www.anchorterminal.com/compare/gpt4all-vs-mlx-lm.md)\n- [GPT4All vs Ollama](https://www.anchorterminal.com/compare/gpt4all-vs-ollama.md)\n- [GPT4All vs Open WebUI](https://www.anchorterminal.com/compare/gpt4all-vs-open-webui.md)\n- [GPT4All vs screenpipe](https://www.anchorterminal.com/compare/gpt4all-vs-screenpipe.md)\n- [GPT4All vs TextGen](https://www.anchorterminal.com/compare/gpt4all-vs-text-generation-webui.md)\n- [Jan vs KoboldCpp](https://www.anchorterminal.com/compare/jan-vs-koboldcpp.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- [GPT4All vs Underdog](https://www.anchorterminal.com/compare/gpt4all-vs-underdog.md)\n- [KoboldCpp vs Underdog](https://www.anchorterminal.com/compare/koboldcpp-vs-underdog.md)\n- [GPT4All vs LocalGhost](https://www.anchorterminal.com/compare/gpt4all-vs-localghost.md)\n",
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    "description": "KoboldCpp scores 60.5 (C) on agent readiness against GPT4All's 36.2 (F), and leads in 5 of 7 scored categories. GPT4All leads on transparency \u0026 trust. Both do local inference. Category scores, facts, verdicts and agent notes side by side.",
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    "title": "GPT4All vs KoboldCpp for AI agents, F 36.2 vs C 60.5 | Anchor Terminal",
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