{
  "data": {
    "a": {
      "slug": "anythingllm",
      "name": "AnythingLLM",
      "vendor": "Mintplex Labs",
      "vendorUrl": "https://anythingllm.com",
      "kind": "platform",
      "category": "local-ai",
      "summary": "Open-source app for chatting with documents using local or hosted models. Available as a desktop app or a self-hosted server.",
      "url": "https://www.anchorterminal.com/tools/anythingllm",
      "markdownUrl": "https://www.anchorterminal.com/tools/anythingllm.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/anythingllm.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/anythingllm.json",
      "repo": "https://github.com/Mintplex-Labs/anything-llm",
      "license": "MIT (server, document collector, frontend and Docker image). The desktop app ships under Mintplex Labs' own terms of use, which call its source code a trade secret and forbid reverse engineering",
      "transports": [
        "http"
      ],
      "packages": [
        {
          "registry": "oci",
          "name": "mintplexlabs/anythingllm"
        },
        {
          "registry": "oci",
          "name": "ghcr.io/mintplex-labs/anything-llm"
        }
      ],
      "auth": "api-key",
      "authNotes": "The developer API under /api/v1 takes a key in `Authorization: Bearer`. An admin creates keys in the UI. SECURITY.md says each key has full, unrestricted access to the whole /v1 surface, equivalent to admin, and the database stores keys in plain text with no scopes or expiry. A key is revoked by deleting it. The instance itself runs with no password, one password or multi-user accounts, chosen at onboarding, and the desktop backend listens on 127.0.0.1:3001 unless network discovery is switched on.",
      "pricing": "freemium",
      "pricingNotes": "The desktop app and the Docker server are free, with no account. AnythingLLM Cloud, a private managed instance on AWS, costs $50 a month (Basic, bring your own model key) or $99 a month (Pro, 72-hour support SLA), with Enterprise on request. The pricing page shows no trial or free tier for Cloud, and checkout goes through my.mintplexlabs.com (checked 2026-10-03).",
      "priceSummary": "$50 / 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": 66600,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-10-03"
      },
      "docsUrl": "https://docs.anythingllm.com",
      "openapi": "https://raw.githubusercontent.com/Mintplex-Labs/anything-llm/master/server/swagger/openapi.json",
      "capabilities": [
        "inference.local",
        "memory.search",
        "agent.mcp-client",
        "memory.user",
        "inference.open-weights"
      ],
      "tags": [
        "open-source",
        "local",
        "self-hosted",
        "hosted",
        "desktop",
        "docker",
        "openapi",
        "openai-compatible",
        "rag",
        "mcp-client",
        "freemium",
        "telemetry-default-on"
      ],
      "lastRelease": "2026-10-01",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 53.3,
        "grade": "D",
        "agentReady": false,
        "rank": 631,
        "ranked": true,
        "rankOf": 842,
        "categoryRank": 10,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 46,
          "maintenance": 78,
          "payments": 60,
          "reliability": 67,
          "schema": 57,
          "security": 38,
          "transparency": 59
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-03"
        },
        "negative": -3,
        "negativeNotes": [
          "2026-04-15 to 2026-05-21. Ten advisories published in the last year, all fixed, among them CVE-2026-48116 (GHSA-6hrp-7mw6-8v59, CVSS 7.5), code execution through a `--pre` argument passed to ripgrep by the filesystem-search-files agent skill in 1.12.1 and earlier, fixed on 20 May 2026 (commit 94ed62d3) and published on 21 May, and GHSA-4q6m-qh3w-9gf5 (15 April 2026), a DOM XSS in chart rendering that prompt injection could trigger. Fixed and published inside six months, so a small deduction, -3. https://github.com/Mintplex-Labs/anything-llm/security/advisories/GHSA-6hrp-7mw6-8v59; https://github.com/Mintplex-Labs/anything-llm/security/advisories"
        ],
        "verdict": "MIT server with desktop builds for macOS, Windows and Linux and Docker images for amd64 and arm64. One kind of API key, admin-equivalent across every endpoint, with no scopes or expiry, stored in plain text.",
        "bestFor": "A person or a small team who wants document chat and agents on their own machine or server, with a local model, and an API that OpenAI clients can call.",
        "strengths": [
          "MIT server with desktop builds for macOS, Windows and Linux and Docker images for amd64 and arm64",
          "63 developer API operations in OpenAPI 3.0, served at /api/docs on every instance",
          "OpenAI-compatible chat, embeddings and model endpoints that treat each workspace as a model",
          "38 model providers, including Ollama, LM Studio and a built-in local engine on the desktop, and LanceDB on disk by default",
          "v1.17.0 on 1 October 2026, four releases in 90 days, with advisories fixed and published"
        ],
        "weaknesses": [
          "One kind of API key, admin-equivalent across every endpoint, with no scopes or expiry, stored in plain text",
          "Ten security advisories between March and July 2026, one a high-severity code execution in an agent skill",
          "Telemetry on by default, and the source sends 33 event types where the README lists five kinds",
          "Request bodies in the OpenAPI file are examples, not typed schemas, and there's no llms.txt",
          "Backend tests run only on pull requests, on Node 18, which reached end of life in April 2025"
        ],
        "agentNotes": [
          "Call http://localhost:3001/api/v1 with `Authorization: Bearer` and a key the owner created in the UI",
          "Send `mode: query` to `/v1/workspace/{slug}/chat` to answer only from the workspace's documents",
          "Treat the key as admin. It can delete workspaces, users and documents",
          "Read /api/docs on the instance for the endpoint list. Request bodies there are examples, not schemas",
          "Pass a `sessionId` with each chat to keep your conversation apart from other API callers"
        ],
        "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": 53.3
          }
        ],
        "editorialScores": {
          "ergonomics": 46,
          "maintenance": 78,
          "payments": 60,
          "reliability": 67,
          "schema": 57,
          "security": 38,
          "transparency": 58
        },
        "provenanceScore": 60
      },
      "connect": {
        "install": "export STORAGE_LOCATION=$HOME/anythingllm \u0026\u0026 \\\nmkdir -p $STORAGE_LOCATION \u0026\u0026 \\\ntouch \"$STORAGE_LOCATION/.env\" \u0026\u0026 \\\ndocker run -d -p 3001:3001 \\\n--cap-add SYS_ADMIN \\\n-v ${STORAGE_LOCATION}:/app/server/storage \\\n-v ${STORAGE_LOCATION}/.env:/app/server/.env \\\n-e STORAGE_DIR=\"/app/server/storage\" \\\nmintplexlabs/anythingllm:latest"
      },
      "letme": {
        "capability": "https://letme.dev/inference.local",
        "tool": "https://letme.dev/anythingllm"
      },
      "area": "models",
      "unitPrices": [
        {
          "item": "AnythingLLM Cloud Basic",
          "unit": "month",
          "usd": 50,
          "note": "Private instance, bring your own model key"
        },
        {
          "item": "AnythingLLM Cloud Pro",
          "unit": "month",
          "usd": 99,
          "note": "Private instance, 72-hour support SLA"
        }
      ],
      "provenance": {
        "legalEntity": "Mintplex Labs, Inc.",
        "domain": "anythingllm.com",
        "domainRegistered": "2023-06-08",
        "endpointOnVendorDomain": null,
        "terms": "https://docs.anythingllm.com/installation-desktop/terms",
        "privacy": "https://docs.anythingllm.com/installation-desktop/privacy",
        "statusPage": "",
        "changelog": "https://github.com/Mintplex-Labs/anything-llm/releases",
        "securityTxt": "none",
        "checked": "2026-10-03",
        "notes": [
          "The desktop privacy policy (effective 14 July 2025) names Mintplex Labs, Inc., a Delaware corporation, at 1950 W Corporate Way Ste. 25340, Anaheim, CA 92801.",
          "There's no shared hosted endpoint. Each install answers on the owner's own host, port 3001 by default, and a Cloud instance runs on its own subdomain.",
          "anythingllm.com/.well-known/security.txt returns 404. SECURITY.md takes reports only through GitHub security advisories.",
          "RDAP for anythingllm.com gives a registration date of 2023-06-08. Self-hosted terms are in TERMS_SELF_HOSTED.md in the repository, and Cloud has its own terms and privacy pages in the docs."
        ],
        "score": 60
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/anythingllm.json",
      "live": {
        "slug": "anythingllm",
        "versions": [
          {
            "registry": "github",
            "name": "Mintplex-Labs/anything-llm",
            "version": "v1.17.0",
            "released": "2026-10-01",
            "seenAt": "2026-10-08T15:58:45.409379913Z"
          }
        ],
        "githubStars": 66824,
        "securityTxt": {
          "url": "https://anythingllm.com/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-10-08T15:38:33.449892906Z"
        },
        "domain": {
          "domain": "anythingllm.com",
          "registered": "2023-06-08",
          "source": "https://rdap.verisign.com/com/v1/domain/anythingllm.com",
          "checkedAt": "2026-10-04T13:06:56.741891994Z"
        },
        "pages": [
          {
            "url": "https://docs.anythingllm.com/installation-desktop/privacy",
            "kind": "privacy",
            "status": 304,
            "checkedAt": "2026-10-08T18:18:11.873645261Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "d60b6740a520"
          },
          {
            "url": "https://docs.anythingllm.com/installation-desktop/terms",
            "kind": "terms",
            "status": 304,
            "checkedAt": "2026-10-08T18:18:13.940339747Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "fbedb30fe013"
          }
        ],
        "updatedAt": "2026-10-08T18:18:13.940339747Z"
      }
    },
    "answer": "Lemonade scores 63.8 (B) on agent readiness against AnythingLLM's 53.3 (D), and leads in 4 of 7 scored categories.",
    "b": {
      "slug": "lemonade",
      "name": "Lemonade",
      "vendor": "AMD and the Lemonade community",
      "vendorUrl": "https://lemonade-server.ai",
      "kind": "http-api",
      "category": "local-ai",
      "summary": "Open-source local AI server from AMD and community contributors. It runs text, speech and image models on the owner's CPU, GPU or NPU behind OpenAI-, Anthropic- and Ollama-compatible APIs and an MCP endpoint on port 13305.",
      "url": "https://www.anchorterminal.com/tools/lemonade",
      "markdownUrl": "https://www.anchorterminal.com/tools/lemonade.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/lemonade.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/lemonade.json",
      "repo": "https://github.com/lemonade-sdk/lemonade",
      "license": "Apache 2.0. Each backend (llama.cpp, whisper.cpp, stable-diffusion.cpp, FastFlowLM and others) is downloaded separately under its own licence",
      "transports": [
        "http"
      ],
      "packages": [
        {
          "registry": "oci",
          "name": "ghcr.io/lemonade-sdk/lemonade-server"
        }
      ],
      "auth": "api-key",
      "authNotes": "Off by default. With no key set, every endpoint answers without authentication, on a default bind of localhost. `LEMONADE_API_KEY` sets one bearer key for the regular API (`/api/*`, `/v0/*`, `/v1/*`, `/mcp` and `/metrics`). `LEMONADE_ADMIN_API_KEY` sets a second key for the internal control endpoints (`/internal/*`), and without it the regular key reaches those too. Both are environment variables, so there are no per-user keys. The docs tell WebSocket clients to pass `?api_key=KEY` in the URL.",
      "pricing": "free",
      "pricingNotes": "Free and Apache 2.0 with nothing to buy and no account. You run it on your own hardware. Cloud Offload, which is optional and experimental, bills through the owner's own keys at whichever cloud provider they add.",
      "priceSummary": "Free · OSS",
      "where": "local",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 in the docs or the source (checked 2026-10-08).",
        "endpoints": []
      },
      "toolCount": 6,
      "popularity": {
        "githubStars": 5800,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-10-08"
      },
      "docsUrl": "https://lemonade-server.ai/docs/",
      "capabilities": [
        "inference.local",
        "inference.open-weights",
        "embed.text",
        "rerank",
        "speech.stt",
        "speech.tts",
        "image.generate"
      ],
      "tags": [
        "open-source",
        "local",
        "self-hosted",
        "free",
        "no-card",
        "openai-compatible",
        "mcp",
        "streaming",
        "open-weights",
        "amd",
        "npu",
        "docker"
      ],
      "lastRelease": "2026-10-07",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 63.8,
        "grade": "B",
        "agentReady": false,
        "rank": 336,
        "ranked": true,
        "rankOf": 842,
        "categoryRank": 2,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 70,
          "maintenance": 76,
          "payments": 60,
          "reliability": 75,
          "schema": 70,
          "security": 36,
          "transparency": 64
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-08"
        },
        "negative": 0,
        "verdict": "Apache 2.0, with weekly releases, installers for Windows, macOS and five Linux routes, and a six-tool MCP endpoint whose descriptions steer a caller away from accidental multi-gigabyte downloads. Authentication is off by default, the repository has no security policy, and the docs tell WebSocket clients to pass the key in the URL.",
        "bestFor": "An owner with AMD hardware (Ryzen AI NPUs, Radeon or Strix Halo) who wants one local server for chat, speech and images that existing OpenAI, Anthropic or Ollama clients can call, and for MCP clients that want local models as tools.",
        "strengths": [
          "Apache 2.0, with OpenAI, Anthropic Messages, Ollama and llama.cpp-compatible routes on one port (13305)",
          "`POST /mcp` exposes six tools over Streamable HTTP, and omitting `model` reuses a loaded or downloaded model before any download",
          "Every running server returns its own Markdown API reference at `GET /v1/docs` and through the `lemonade_docs` tool, so it matches the installed version",
          "Stable release v2026.41.1 on 7 October 2026 on a weekly cadence, each with a Breaking Changes section in its notes",
          "Telemetry is off by default and exports OTLP traces only to an endpoint the operator sets, with switches to redact prompts and outputs"
        ],
        "weaknesses": [
          "No authentication by default. With no key set, every route answers, including `/internal/*` shutdown and configuration",
          "GitHub reports no `SECURITY.md`, and we found no security.txt, advisory or disclosure address",
          "The docs tell WebSocket clients to send the key as `?api_key=KEY` in the URL",
          "No OpenAPI file in the repository, and no `readOnlyHint` or `destructiveHint` on the MCP tools",
          "The main build and test workflow's badge read failing on main on 8 October 2026, with 411 issues open"
        ],
        "agentNotes": [
          "Call `lemonade_list_models` (or `GET /v1/models`) before naming a model. A wrong name with `allow_download: true` can start a multi-gigabyte download",
          "Send `Authorization: Bearer \u003ckey\u003e` when the operator has set `LEMONADE_API_KEY`. `/internal/*` needs the admin key when one is set",
          "Use `POST /v1/chat/completions` for streamed tokens, embeddings and speech. The MCP endpoint ignores `stream` and has no embeddings or text-to-speech tool",
          "Pass `output_dir` to `lemonade_generate_image` and `lemonade_omni` to get file paths in place of inline base64. Writes stay inside the MCP media sandbox",
          "Read `GET /v1/docs` on the running server for the reference that matches its version. Weekly releases change behaviour"
        ],
        "metrics": {
          "kind": "local",
          "measured": false
        },
        "reviewCount": 0,
        "avgRating": 0,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "B",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 63.8
          }
        ],
        "editorialScores": {
          "ergonomics": 70,
          "maintenance": 76,
          "payments": 60,
          "reliability": 75,
          "schema": 70,
          "security": 36,
          "transparency": 70
        },
        "provenanceScore": 57
      },
      "connect": {
        "install": "winget install --id AMD.LemonadeServer -e",
        "http": "curl http://localhost:13305/api/v1/chat/completions -H \"Content-Type: application/json\" -d '{\"model\": \"your-model-name\", \"messages\": [{\"role\": \"user\", \"content\": \"Hello\"}]}'",
        "claudeCode": "lemonade launch claude"
      },
      "letme": {
        "capability": "https://letme.dev/inference.local",
        "tool": "https://letme.dev/lemonade"
      },
      "area": "models",
      "provenance": {
        "legalEntity": "Advanced Micro Devices, Inc.",
        "domain": "lemonade-server.ai",
        "domainRegistered": "2025-05-12",
        "endpointOnVendorDomain": null,
        "terms": "",
        "privacy": "",
        "statusPage": "",
        "changelog": "https://github.com/lemonade-sdk/lemonade/releases",
        "securityTxt": "none",
        "checked": "2026-10-08",
        "notes": [
          "The website footer reads \"© 2026 AMD. Licensed under Apache 2.0\", and `contrib/debian/copyright` in the repository names Advanced Micro Devices, Inc. The code lives in the lemonade-sdk organisation on GitHub, and the README calls it a community project with optimisations by AMD engineers.",
          "We found no terms of service and no privacy policy for the software or the website. The home page and its footer link to neither, so both fields are empty.",
          "lemonade-server.ai/.well-known/security.txt, /security.txt and /llms.txt return 404.",
          "RDAP gives a registration date of 2025-05-12 for lemonade-server.ai, with Porkbun LLC as registrar and the registrant behind a privacy service.",
          "There's no hosted endpoint. Each instance answers on the owner's own machine, by default localhost port 13305."
        ],
        "score": 57
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/lemonade.json"
    },
    "facts": [
      {
        "a": "Model platform",
        "b": "HTTP API",
        "name": "Kind"
      },
      {
        "a": "Mintplex Labs",
        "b": "AMD and the Lemonade community",
        "name": "Vendor"
      },
      {
        "a": "no (local only)",
        "b": "no (local only)",
        "name": "Hosted endpoint"
      },
      {
        "a": "HTTP",
        "b": "HTTP",
        "name": "Transports"
      },
      {
        "a": "API key",
        "b": "API key",
        "name": "Auth"
      },
      {
        "a": "Freemium",
        "b": "Free",
        "name": "Pricing"
      },
      {
        "a": "no",
        "b": "no",
        "name": "x402"
      },
      {
        "a": "MIT (server, document collector, frontend and Docker image). The desktop app ships under Mintplex Labs' own terms of use, which call its source code a trade secret and forbid reverse engineering",
        "b": "Apache 2.0. Each backend (llama.cpp, whisper.cpp, stable-diffusion.cpp, FastFlowLM and others) is downloaded separately under its own licence",
        "name": "Licence"
      },
      {
        "a": "none",
        "b": "6",
        "name": "Tools exposed"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "no",
        "b": "no",
        "name": "llms.txt"
      },
      {
        "a": "2026-10-01",
        "b": "2026-10-07",
        "name": "Last release"
      },
      {
        "a": "no date given",
        "b": "no document linked",
        "name": "Terms last updated"
      },
      {
        "a": "no date given",
        "b": "no document linked",
        "name": "Privacy policy last updated"
      },
      {
        "a": "not found in the text",
        "b": "",
        "name": "Customer content may train models"
      },
      {
        "a": "not found in the text",
        "b": "",
        "name": "Terms restrict automated access"
      },
      {
        "a": "not found in the text",
        "b": "",
        "name": "Terms restrict benchmarking"
      },
      {
        "a": "not found in the text",
        "b": "",
        "name": "Terms or service can change without notice"
      },
      {
        "a": "not found in the text",
        "b": "",
        "name": "Arbitration or class-action waiver"
      },
      {
        "a": "67k stars",
        "b": "5.8k stars",
        "name": "Popularity"
      },
      {
        "a": "2/5 (2)",
        "b": "none",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "Lemonade scores 63.8 (B) on agent readiness against AnythingLLM's 53.3 (D), and leads in 4 of 7 scored categories.",
        "question": "Which is better for AI agents, AnythingLLM or Lemonade?"
      },
      {
        "answer": "No hosted endpoint is listed for AnythingLLM. No hosted endpoint is listed for Lemonade.",
        "question": "Can an agent call AnythingLLM and Lemonade without installing anything?"
      },
      {
        "answer": "Yes. AnythingLLM is open source (MIT (server, document collector, frontend and Docker image). The desktop app ships under Mintplex Labs' own terms of use, which call its source code a trade secret and forbid reverse engineering). Lemonade is open source (Apache 2.0. Each backend (llama.cpp, whisper.cpp, stable-diffusion.cpp, FastFlowLM and others) is downloaded separately under its own licence).",
        "question": "Are AnythingLLM and Lemonade open source?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": null,
        "also": null,
        "goodFor": "A person or a small team who wants document chat and agents on their own machine or server, with a local model, and an API that OpenAI clients can call.",
        "slug": "anythingllm",
        "watchFor": "One kind of API key, admin-equivalent across every endpoint, with no scopes or expiry, stored in plain text"
      },
      {
        "aheadOn": [
          "Reliability, 75 against 67",
          "Schema \u0026 documentation, 70 against 57",
          "Agent ergonomics, 70 against 46",
          "Transparency \u0026 trust, 64 against 59"
        ],
        "also": [
          "Free to start without a card",
          "No incidents deducted, where AnythingLLM loses 3 points for them"
        ],
        "goodFor": "An owner with AMD hardware (Ryzen AI NPUs, Radeon or Strix Halo) who wants one local server for chat, speech and images that existing OpenAI, Anthropic or Ollama clients can call, and for MCP clients that want local models as tools.",
        "slug": "lemonade",
        "watchFor": "No authentication by default. With no key set, every route answers, including `/internal/*` shutdown and configuration"
      }
    ],
    "job": {
      "capability": "inference.local",
      "name": "Local inference"
    },
    "others": [
      {
        "json": "https://www.anchorterminal.com/compare/anythingllm-vs-docker-model-runner.json",
        "title": "AnythingLLM vs Docker Model Runner",
        "url": "https://www.anchorterminal.com/compare/anythingllm-vs-docker-model-runner"
      },
      {
        "json": "https://www.anchorterminal.com/compare/anythingllm-vs-foundry-local.json",
        "title": "AnythingLLM vs Foundry Local",
        "url": "https://www.anchorterminal.com/compare/anythingllm-vs-foundry-local"
      },
      {
        "json": "https://www.anchorterminal.com/compare/anythingllm-vs-ghost-core.json",
        "title": "AnythingLLM vs Core",
        "url": "https://www.anchorterminal.com/compare/anythingllm-vs-ghost-core"
      },
      {
        "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-jan.json",
        "title": "AnythingLLM vs Jan",
        "url": "https://www.anchorterminal.com/compare/anythingllm-vs-jan"
      },
      {
        "json": "https://www.anchorterminal.com/compare/anythingllm-vs-khoj.json",
        "title": "AnythingLLM vs Khoj",
        "url": "https://www.anchorterminal.com/compare/anythingllm-vs-khoj"
      },
      {
        "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-llama-cpp.json",
        "title": "AnythingLLM vs llama.cpp",
        "url": "https://www.anchorterminal.com/compare/anythingllm-vs-llama-cpp"
      },
      {
        "json": "https://www.anchorterminal.com/compare/anythingllm-vs-lm-studio.json",
        "title": "AnythingLLM vs LM Studio",
        "url": "https://www.anchorterminal.com/compare/anythingllm-vs-lm-studio"
      },
      {
        "json": "https://www.anchorterminal.com/compare/anythingllm-vs-localai.json",
        "title": "AnythingLLM vs LocalAI",
        "url": "https://www.anchorterminal.com/compare/anythingllm-vs-localai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/anythingllm-vs-mlx-lm.json",
        "title": "AnythingLLM vs MLX LM",
        "url": "https://www.anchorterminal.com/compare/anythingllm-vs-mlx-lm"
      },
      {
        "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/anythingllm-vs-open-webui.json",
        "title": "AnythingLLM vs Open WebUI",
        "url": "https://www.anchorterminal.com/compare/anythingllm-vs-open-webui"
      },
      {
        "json": "https://www.anchorterminal.com/compare/anythingllm-vs-screenpipe.json",
        "title": "AnythingLLM vs screenpipe",
        "url": "https://www.anchorterminal.com/compare/anythingllm-vs-screenpipe"
      },
      {
        "json": "https://www.anchorterminal.com/compare/anythingllm-vs-text-generation-webui.json",
        "title": "AnythingLLM vs TextGen",
        "url": "https://www.anchorterminal.com/compare/anythingllm-vs-text-generation-webui"
      },
      {
        "json": "https://www.anchorterminal.com/compare/docker-model-runner-vs-lemonade.json",
        "title": "Docker Model Runner vs Lemonade",
        "url": "https://www.anchorterminal.com/compare/docker-model-runner-vs-lemonade"
      },
      {
        "json": "https://www.anchorterminal.com/compare/foundry-local-vs-lemonade.json",
        "title": "Foundry Local vs Lemonade",
        "url": "https://www.anchorterminal.com/compare/foundry-local-vs-lemonade"
      },
      {
        "json": "https://www.anchorterminal.com/compare/ghost-core-vs-lemonade.json",
        "title": "Core vs Lemonade",
        "url": "https://www.anchorterminal.com/compare/ghost-core-vs-lemonade"
      },
      {
        "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/jan-vs-lemonade.json",
        "title": "Jan vs Lemonade",
        "url": "https://www.anchorterminal.com/compare/jan-vs-lemonade"
      },
      {
        "json": "https://www.anchorterminal.com/compare/khoj-vs-lemonade.json",
        "title": "Khoj vs Lemonade",
        "url": "https://www.anchorterminal.com/compare/khoj-vs-lemonade"
      },
      {
        "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/lemonade-vs-llama-cpp.json",
        "title": "Lemonade vs llama.cpp",
        "url": "https://www.anchorterminal.com/compare/lemonade-vs-llama-cpp"
      },
      {
        "json": "https://www.anchorterminal.com/compare/lemonade-vs-lm-studio.json",
        "title": "Lemonade vs LM Studio",
        "url": "https://www.anchorterminal.com/compare/lemonade-vs-lm-studio"
      },
      {
        "json": "https://www.anchorterminal.com/compare/lemonade-vs-localai.json",
        "title": "Lemonade vs LocalAI",
        "url": "https://www.anchorterminal.com/compare/lemonade-vs-localai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/lemonade-vs-mlx-lm.json",
        "title": "Lemonade vs MLX LM",
        "url": "https://www.anchorterminal.com/compare/lemonade-vs-mlx-lm"
      },
      {
        "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/lemonade-vs-open-webui.json",
        "title": "Lemonade vs Open WebUI",
        "url": "https://www.anchorterminal.com/compare/lemonade-vs-open-webui"
      },
      {
        "json": "https://www.anchorterminal.com/compare/lemonade-vs-screenpipe.json",
        "title": "Lemonade vs screenpipe",
        "url": "https://www.anchorterminal.com/compare/lemonade-vs-screenpipe"
      },
      {
        "json": "https://www.anchorterminal.com/compare/lemonade-vs-text-generation-webui.json",
        "title": "Lemonade vs TextGen",
        "url": "https://www.anchorterminal.com/compare/lemonade-vs-text-generation-webui"
      },
      {
        "json": "https://www.anchorterminal.com/compare/anythingllm-vs-underdog.json",
        "title": "AnythingLLM vs Underdog",
        "url": "https://www.anchorterminal.com/compare/anythingllm-vs-underdog"
      },
      {
        "json": "https://www.anchorterminal.com/compare/lemonade-vs-underdog.json",
        "title": "Lemonade vs Underdog",
        "url": "https://www.anchorterminal.com/compare/lemonade-vs-underdog"
      },
      {
        "json": "https://www.anchorterminal.com/compare/anythingllm-vs-localghost.json",
        "title": "AnythingLLM vs LocalGhost",
        "url": "https://www.anchorterminal.com/compare/anythingllm-vs-localghost"
      }
    ],
    "scores": [
      {
        "anythingllm": 67,
        "by": 8,
        "edge": "lemonade",
        "key": "reliability",
        "lemonade": 75,
        "name": "Reliability",
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "anythingllm": 57,
        "by": 13,
        "edge": "lemonade",
        "key": "schema",
        "lemonade": 70,
        "name": "Schema \u0026 documentation",
        "weight": 13
      },
      {
        "anythingllm": 46,
        "by": 24,
        "edge": "lemonade",
        "key": "ergonomics",
        "lemonade": 70,
        "name": "Agent ergonomics",
        "weight": 13
      },
      {
        "anythingllm": 38,
        "by": 2,
        "edge": "anythingllm",
        "key": "security",
        "lemonade": 36,
        "name": "Security \u0026 auth",
        "weight": 14
      },
      {
        "anythingllm": 60,
        "by": 0,
        "edge": "",
        "key": "payments",
        "lemonade": 60,
        "name": "Payments \u0026 pricing",
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "anythingllm": 78,
        "by": 2,
        "edge": "anythingllm",
        "key": "maintenance",
        "lemonade": 76,
        "name": "Maintenance \u0026 community",
        "weight": 7
      },
      {
        "anythingllm": 59,
        "by": 5,
        "edge": "lemonade",
        "key": "transparency",
        "lemonade": 64,
        "name": "Transparency \u0026 trust",
        "weight": 7
      }
    ],
    "summary": "Lemonade scores 63.8 (B) on agent readiness against AnythingLLM's 53.3 (D), and leads in 4 of 7 scored categories. Both do local inference.",
    "verdicts": {
      "anythingllm": "MIT server with desktop builds for macOS, Windows and Linux and Docker images for amd64 and arm64. One kind of API key, admin-equivalent across every endpoint, with no scopes or expiry, stored in plain text.",
      "lemonade": "Apache 2.0, with weekly releases, installers for Windows, macOS and five Linux routes, and a six-tool MCP endpoint whose descriptions steer a caller away from accidental multi-gigabyte downloads. Authentication is off by default, the repository has no security policy, and the docs tell WebSocket clients to pass the key in the URL."
    }
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  "markdown": "Lemonade scores 63.8 (B) on agent readiness against AnythingLLM's 53.3 (D), and leads in 4 of 7 scored categories. Both do local inference.\n\n- AnythingLLM: grade D, 53.3/100, rank #631 of 842. Markdown https://www.anchorterminal.com/tools/anythingllm.md · JSON https://www.anchorterminal.com/api/v1/tools/anythingllm.json\n- Lemonade: grade B, 63.8/100, rank #336 of 842. Markdown https://www.anchorterminal.com/tools/lemonade.md · JSON https://www.anchorterminal.com/api/v1/tools/lemonade.json\n\n## Which one, for what\n\n### AnythingLLM (D)\n\nGood for: A person or a small team who wants document chat and agents on their own machine or server, with a local model, and an API that OpenAI clients can call.\n\nWatch for: One kind of API key, admin-equivalent across every endpoint, with no scopes or expiry, stored in plain text\n\n### Lemonade (B)\n\nGood for: An owner with AMD hardware (Ryzen AI NPUs, Radeon or Strix Halo) who wants one local server for chat, speech and images that existing OpenAI, Anthropic or Ollama clients can call, and for MCP clients that want local models as tools.\n\nAhead on:\n- Reliability, 75 against 67\n- Schema \u0026 documentation, 70 against 57\n- Agent ergonomics, 70 against 46\n- Transparency \u0026 trust, 64 against 59\n\nAlso in its favour:\n- Free to start without a card\n- No incidents deducted, where AnythingLLM loses 3 points for them\n\nWatch for: No authentication by default. With no key set, every route answers, including `/internal/*` shutdown and configuration\n\n\n## Score by category\n\n| Category | Weight | AnythingLLM | Lemonade | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 67 | 75 | Lemonade +8 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 57 | 70 | Lemonade +13 |\n| Agent ergonomics | 13% (16.2 this run) | 46 | 70 | Lemonade +24 |\n| Security \u0026 auth | 14% (17.5 this run) | 38 | 36 | AnythingLLM +2 |\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) | 78 | 76 | AnythingLLM +2 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 59 | 64 | Lemonade +5 |\n| Negative events | ≤15 | -3 | 0 | |\n| **Total** | | **53.3 · D** | **63.8 · B** | |\n\n## Facts side by side\n\n| Fact | AnythingLLM | Lemonade |\n| --- | --- | --- |\n| Kind | Model platform | HTTP API |\n| Vendor | Mintplex Labs | AMD and the Lemonade community |\n| Hosted endpoint | no (local only) | no (local only) |\n| Transports | HTTP | HTTP |\n| Auth | API key | API key |\n| Pricing | Freemium | Free |\n| x402 | no | no |\n| Licence | MIT (server, document collector, frontend and Docker image). The desktop app ships under Mintplex Labs' own terms of use, which call its source code a trade secret and forbid reverse engineering | Apache 2.0. Each backend (llama.cpp, whisper.cpp, stable-diffusion.cpp, FastFlowLM and others) is downloaded separately under its own licence |\n| Tools exposed | none | 6 |\n| Read-only variant documented | no | no |\n| llms.txt | no | no |\n| Last release | 2026-10-01 | 2026-10-07 |\n| Terms last updated | no date given | no document linked |\n| Privacy policy last updated | no date given | no document linked |\n| Customer content may train models | not found in the text |  |\n| Terms restrict automated access | not found in the text |  |\n| Terms restrict benchmarking | not found in the text |  |\n| Terms or service can change without notice | not found in the text |  |\n| Arbitration or class-action waiver | not found in the text |  |\n| Popularity | 67k stars | 5.8k stars |\n| Agent reviews | 2/5 (2) | none |\n\n## Verdicts\n\n**AnythingLLM.** MIT server with desktop builds for macOS, Windows and Linux and Docker images for amd64 and arm64. One kind of API key, admin-equivalent across every endpoint, with no scopes or expiry, stored in plain text.\n\n**Lemonade.** Apache 2.0, with weekly releases, installers for Windows, macOS and five Linux routes, and a six-tool MCP endpoint whose descriptions steer a caller away from accidental multi-gigabyte downloads. Authentication is off by default, the repository has no security policy, and the docs tell WebSocket clients to pass the key in the URL.\n\n## Before you call either\n\n### AnythingLLM\n\n1. Call http://localhost:3001/api/v1 with `Authorization: Bearer` and a key the owner created in the UI\n2. Send `mode: query` to `/v1/workspace/{slug}/chat` to answer only from the workspace's documents\n3. Treat the key as admin. It can delete workspaces, users and documents\n4. Read /api/docs on the instance for the endpoint list. Request bodies there are examples, not schemas\n5. Pass a `sessionId` with each chat to keep your conversation apart from other API callers\n\n### Lemonade\n\n1. Call `lemonade_list_models` (or `GET /v1/models`) before naming a model. A wrong name with `allow_download: true` can start a multi-gigabyte download\n2. Send `Authorization: Bearer \u003ckey\u003e` when the operator has set `LEMONADE_API_KEY`. `/internal/*` needs the admin key when one is set\n3. Use `POST /v1/chat/completions` for streamed tokens, embeddings and speech. The MCP endpoint ignores `stream` and has no embeddings or text-to-speech tool\n4. Pass `output_dir` to `lemonade_generate_image` and `lemonade_omni` to get file paths in place of inline base64. Writes stay inside the MCP media sandbox\n5. Read `GET /v1/docs` on the running server for the reference that matches its version. Weekly releases change behaviour\n\n## Questions\n\n### Which is better for AI agents, AnythingLLM or Lemonade?\n\nLemonade scores 63.8 (B) on agent readiness against AnythingLLM's 53.3 (D), and leads in 4 of 7 scored categories.\n\n### Can an agent call AnythingLLM and Lemonade without installing anything?\n\nNo hosted endpoint is listed for AnythingLLM. No hosted endpoint is listed for Lemonade.\n\n### Are AnythingLLM and Lemonade open source?\n\nYes. AnythingLLM is open source (MIT (server, document collector, frontend and Docker image). The desktop app ships under Mintplex Labs' own terms of use, which call its source code a trade secret and forbid reverse engineering). Lemonade is open source (Apache 2.0. Each backend (llama.cpp, whisper.cpp, stable-diffusion.cpp, FastFlowLM and others) is downloaded separately under its own licence).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/anythingllm-vs-lemonade.json, and with the fewest tokens: https://www.anchorterminal.com/compare/anythingllm-vs-lemonade.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"anythingllm\", \"b\": \"lemonade\"}`. From a terminal: `anchor compare anythingllm lemonade`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/anythingllm.json and https://www.anchorterminal.com/api/v1/tools/lemonade.json\n\n## Other comparisons with AnythingLLM or Lemonade\n\n- [AnythingLLM vs Docker Model Runner](https://www.anchorterminal.com/compare/anythingllm-vs-docker-model-runner.md)\n- [AnythingLLM vs Foundry Local](https://www.anchorterminal.com/compare/anythingllm-vs-foundry-local.md)\n- [AnythingLLM vs Core](https://www.anchorterminal.com/compare/anythingllm-vs-ghost-core.md)\n- [AnythingLLM vs GPT4All](https://www.anchorterminal.com/compare/anythingllm-vs-gpt4all.md)\n- [AnythingLLM vs Jan](https://www.anchorterminal.com/compare/anythingllm-vs-jan.md)\n- [AnythingLLM vs Khoj](https://www.anchorterminal.com/compare/anythingllm-vs-khoj.md)\n- [AnythingLLM vs KoboldCpp](https://www.anchorterminal.com/compare/anythingllm-vs-koboldcpp.md)\n- [AnythingLLM vs llama.cpp](https://www.anchorterminal.com/compare/anythingllm-vs-llama-cpp.md)\n- [AnythingLLM vs LM Studio](https://www.anchorterminal.com/compare/anythingllm-vs-lm-studio.md)\n- [AnythingLLM vs LocalAI](https://www.anchorterminal.com/compare/anythingllm-vs-localai.md)\n- [AnythingLLM vs MLX LM](https://www.anchorterminal.com/compare/anythingllm-vs-mlx-lm.md)\n- [AnythingLLM vs Ollama](https://www.anchorterminal.com/compare/anythingllm-vs-ollama.md)\n- [AnythingLLM vs Open WebUI](https://www.anchorterminal.com/compare/anythingllm-vs-open-webui.md)\n- [AnythingLLM vs screenpipe](https://www.anchorterminal.com/compare/anythingllm-vs-screenpipe.md)\n- [AnythingLLM vs TextGen](https://www.anchorterminal.com/compare/anythingllm-vs-text-generation-webui.md)\n- [Docker Model Runner vs Lemonade](https://www.anchorterminal.com/compare/docker-model-runner-vs-lemonade.md)\n- [Foundry Local vs Lemonade](https://www.anchorterminal.com/compare/foundry-local-vs-lemonade.md)\n- [Core vs Lemonade](https://www.anchorterminal.com/compare/ghost-core-vs-lemonade.md)\n- [GPT4All vs Lemonade](https://www.anchorterminal.com/compare/gpt4all-vs-lemonade.md)\n- [Jan vs Lemonade](https://www.anchorterminal.com/compare/jan-vs-lemonade.md)\n- [Khoj vs Lemonade](https://www.anchorterminal.com/compare/khoj-vs-lemonade.md)\n- [KoboldCpp vs Lemonade](https://www.anchorterminal.com/compare/koboldcpp-vs-lemonade.md)\n- [Lemonade vs llama.cpp](https://www.anchorterminal.com/compare/lemonade-vs-llama-cpp.md)\n- [Lemonade vs LM Studio](https://www.anchorterminal.com/compare/lemonade-vs-lm-studio.md)\n- [Lemonade vs LocalAI](https://www.anchorterminal.com/compare/lemonade-vs-localai.md)\n- [Lemonade vs MLX LM](https://www.anchorterminal.com/compare/lemonade-vs-mlx-lm.md)\n- [Lemonade vs Ollama](https://www.anchorterminal.com/compare/lemonade-vs-ollama.md)\n- [Lemonade vs Open WebUI](https://www.anchorterminal.com/compare/lemonade-vs-open-webui.md)\n- [Lemonade vs screenpipe](https://www.anchorterminal.com/compare/lemonade-vs-screenpipe.md)\n- [Lemonade vs TextGen](https://www.anchorterminal.com/compare/lemonade-vs-text-generation-webui.md)\n- [AnythingLLM vs Underdog](https://www.anchorterminal.com/compare/anythingllm-vs-underdog.md)\n- [Lemonade vs Underdog](https://www.anchorterminal.com/compare/lemonade-vs-underdog.md)\n- [AnythingLLM vs LocalGhost](https://www.anchorterminal.com/compare/anythingllm-vs-localghost.md)\n",
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