{
  "data": {
    "a": {
      "slug": "foundry-local",
      "name": "Foundry Local",
      "vendor": "Microsoft",
      "vendorUrl": "https://www.foundrylocal.ai",
      "kind": "sdk",
      "category": "local-ai",
      "summary": "Microsoft's on-device model runtime, built on ONNX Runtime. Applications embed it through SDKs for C#, JavaScript, Python and Rust, and it can start an optional OpenAI-compatible server on localhost. A preview CLI is also available.",
      "url": "https://www.anchorterminal.com/tools/foundry-local",
      "markdownUrl": "https://www.anchorterminal.com/tools/foundry-local.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/foundry-local.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/foundry-local.json",
      "repo": "https://github.com/microsoft/Foundry-Local",
      "license": "MIT for the SDKs and the v2 native runtime. The CLI is closed source under Microsoft Software Licence Terms. Execution providers carry NVIDIA, Intel and Qualcomm licences, and each model carries its own",
      "transports": [
        "http"
      ],
      "packages": [
        {
          "registry": "npm",
          "name": "foundry-local-sdk"
        },
        {
          "registry": "pypi",
          "name": "foundry-local-sdk"
        },
        {
          "registry": "nuget",
          "name": "Microsoft.AI.Foundry.Local"
        },
        {
          "registry": "cargo",
          "name": "foundry-local-sdk"
        }
      ],
      "auth": "none",
      "authNotes": "No authentication. The SDK runs in the application's own process, and the optional local server takes no key or token. It binds to 127.0.0.1 on a dynamic port unless the owner configures `web.urls` or starts the CLI daemon with `--port`. No account or Azure subscription is needed.",
      "pricing": "free",
      "pricingNotes": "Free, with no account, card or Azure subscription. The SDK is MIT and the CLI is a free download under Microsoft's licence terms. Microsoft states there are no per-token costs. Foundry Local on Azure Local is a separate product for servers and is not covered here (checked 2026-10-08).",
      "priceSummary": "Free · OSS",
      "where": "local",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 in the docs, the README or the SDK source (checked 2026-10-08).",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": 2600,
        "npmWeekly": 105372,
        "pypiWeekly": 47344,
        "asOf": "2026-10-08"
      },
      "docsUrl": "https://learn.microsoft.com/en-us/azure/foundry-local/",
      "capabilities": [
        "inference.local",
        "inference.open-weights",
        "embed.text",
        "speech.stt"
      ],
      "tags": [
        "local",
        "open-source",
        "free",
        "no-card",
        "account-free",
        "no-auth",
        "openai-compatible",
        "csharp",
        "typescript",
        "python",
        "rust",
        "npu",
        "telemetry-on-by-default"
      ],
      "lastRelease": "2026-09-29",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 60.5,
        "grade": "C",
        "agentReady": false,
        "rank": 461,
        "ranked": true,
        "rankOf": 842,
        "categoryRank": 4,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 61,
          "maintenance": 88,
          "payments": 60,
          "reliability": 68,
          "schema": 53,
          "security": 39,
          "transparency": 72
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-08"
        },
        "negative": 0,
        "verdict": "The SDK and its native runtime are MIT, at 2.1.0 on four registries, and pick a CPU, GPU or NPU model variant automatically. The optional local server has no credential, its current routes aren't in the published REST reference, and telemetry is on by default with an opt-out.",
        "bestFor": "An application that ships a model to end users' Windows, macOS or Linux devices and wants NPU and GPU variants chosen automatically, especially on Windows.",
        "strengths": [
          "SDK 2.1.0 published on npm, PyPI, NuGet and crates.io on 29 September 2026, with the SDK and the v2 native runtime under MIT in a public repository",
          "A model alias selects the best variant for the machine's CPU, GPU or NPU, with CUDA, WebGPU, OpenVINO, QNN and Vitis AI execution providers",
          "The v2 server answers `/v1/chat/completions`, `/v1/responses`, `/v1/embeddings`, `/v1/audio/transcriptions` and `/v1/models` in OpenAI's shapes",
          "Six releases in the 90 days to 8 October 2026, and the v2.0.1 notes carry a breaking-changes section",
          "No account, key, card or Azure subscription is needed, and prompts and outputs are processed on the device per the docs"
        ],
        "weaknesses": [
          "The local server takes no credential, and its routes include model load and unload and `POST /shutdown`",
          "The REST reference on Microsoft Learn lists `/openai/*` and `/foundry/list` routes that the v2 runtime source doesn't register, and doesn't cover `/v1/responses`",
          "Telemetry is on by default through Microsoft's 1DS SDK. The opt-out covers non-essential telemetry only, and the Learn FAQ doesn't mention it",
          "The CLI is a closed-source public preview, and its REST reference warns of breaking changes without notice",
          "76 open issues on 8 October 2026, among them a Linux ARM64 segmentation fault (#1182) and several unanswered GPU and NPU detection reports"
        ],
        "agentNotes": [
          "Read the server URL from `manager.urls[0]` or `foundry server status`. The port is dynamic unless the owner sets `web.urls` or `foundry server start --port`",
          "Send the model ID that `GET /v1/models` returns, not the alias. The alias resolves to a hardware-specific variant",
          "Check `supportsToolCalling` before sending tools. Support differs by variant, and issue #1183 reports Qwen tool calling failing on QNN",
          "Set your own request timeout. Inference has no built-in one, and cancellation takes effect only after the current generation step",
          "Ask the owner to set `ORT_TELEMETRY_DISABLED=1` or `disableNonessentialTelemetry` before the manager is created if telemetry must be off"
        ],
        "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": 61,
          "maintenance": 88,
          "payments": 60,
          "reliability": 68,
          "schema": 53,
          "security": 39,
          "transparency": 63
        },
        "provenanceScore": 80
      },
      "connect": {
        "install": "pip install foundry-local-sdk   # or: npm install foundry-local-sdk\n# CLI (preview): winget install Microsoft.FoundryLocal   # macOS: brew tap microsoft/foundrylocal \u0026\u0026 brew install foundrylocal",
        "http": "foundry server start --port 39839 --idle-timeout 0\ncurl http://localhost:39839/v1/chat/completions \\\n  -H \"Content-Type: application/json\" \\\n  -d '{\"model\": \"\u003cMODEL_ID\u003e\", \"messages\": [{\"role\": \"user\", \"content\": \"What is the golden ratio?\"}]}'"
      },
      "letme": {
        "capability": "https://letme.dev/inference.local",
        "tool": "https://letme.dev/foundry-local"
      },
      "sameCompany": [
        "azure-foundry-fine-tuning",
        "azure-ai-content-safety",
        "azure-speech-to-text",
        "azure-text-to-speech",
        "microsoft-agent-framework",
        "microsoft-execution-containers",
        "microsoft-entra-agent-id",
        "azure-key-vault",
        "azure-document-intelligence",
        "azure-devops-mcp",
        "microsoft-learn-mcp",
        "playwright-mcp",
        "azure-mcp",
        "azure-maps",
        "azure-translator",
        "microsoft-graph-calendar",
        "azure-blob-storage",
        "onedrive-sharepoint",
        "microsoft-teams",
        "dynamics-365-sales",
        "power-automate",
        "microsoft-advertising-api",
        "microsoft-excel-graph",
        "outlook-mail-graph"
      ],
      "area": "models",
      "provenance": {
        "legalEntity": "Microsoft Corporation",
        "domain": "microsoft.com",
        "domainRegistered": "1991-05-02",
        "endpointOnVendorDomain": null,
        "terms": "",
        "privacy": "",
        "statusPage": "",
        "changelog": "https://github.com/microsoft/Foundry-Local/releases",
        "securityTxt": "expired",
        "checked": "2026-10-08",
        "notes": [
          "The repository is under GitHub's microsoft organisation, the licence file reads Copyright (c) Microsoft Corporation, and foundrylocal.ai names Microsoft Corporation as publisher.",
          "The terms link is the repository's LICENSE file, which holds the MIT licence for the SDK and the Microsoft Software Licence Terms for the CLI. Microsoft publishes no other agreement for Foundry Local that we found.",
          "The privacy link is the product's own privacy file in the repository, which the README links. It and the CLI licence both refer on to the Microsoft Privacy Statement, a company-wide notice, which answered 403 to our request.",
          "www.microsoft.com/.well-known/security.txt loads and points to the MSRC researcher portal, but its Expires field is 2026-09-23T16:00:00.000Z, which had passed on 8 October 2026. learn.microsoft.com and foundrylocal.ai return 404.",
          "No status page is listed because the software runs on the owner's machine. The model catalogue is a cloud service with no status page that we found.",
          "RDAP gives microsoft.com a registration date of 1991-05-02 and foundrylocal.ai one of 2025-10-07."
        ],
        "score": 80
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/foundry-local.json"
    },
    "answer": "LocalAI scores 68 (B) on agent readiness against Foundry Local's 60.5 (C), and leads in 4 of 7 scored categories. Foundry Local leads on maintenance \u0026 community and transparency \u0026 trust.",
    "b": {
      "slug": "localai",
      "name": "LocalAI",
      "vendor": "Ettore Di Giacinto and the LocalAI team",
      "vendorUrl": "https://localai.io",
      "kind": "http-api",
      "category": "local-ai",
      "summary": "Open-source engine in Go, MIT licensed, that runs models on the owner's hardware behind OpenAI-, Anthropic-, Ollama- and ElevenLabs-compatible APIs on port 8080.",
      "url": "https://www.anchorterminal.com/tools/localai",
      "markdownUrl": "https://www.anchorterminal.com/tools/localai.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/localai.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/localai.json",
      "repo": "https://github.com/mudler/LocalAI",
      "license": "MIT. Each backend image wraps an upstream engine (llama.cpp, vLLM, whisper.cpp, diffusers and others) under that engine's own licence",
      "transports": [
        "http",
        "stdio"
      ],
      "packages": [
        {
          "registry": "oci",
          "name": "docker.io/localai/localai"
        }
      ],
      "auth": "mixed",
      "authNotes": "Off by default. With no keys and no user accounts configured, every request is accepted, and the server refuses to start on a public address in that state unless `--allow-insecure-public-bind` is set. `LOCALAI_API_KEY` sets shared keys with full admin rights. `LOCALAI_AUTH=true` turns on user accounts (local, GitHub OAuth or OIDC), and each user creates revocable keys stored as HMAC-SHA256, with an optional expiry in the source, carrying the user's role (admin or user) and per-model and per-feature permissions. Keys go in `Authorization: Bearer`, `x-api-key`, `xi-api-key` or a `token` cookie.",
      "pricing": "free",
      "pricingNotes": "Free and MIT with nothing to buy. You run it on your own hardware. The project takes sponsorship through GitHub Sponsors.",
      "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": 42,
      "popularity": {
        "githubStars": 47800,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-10-03"
      },
      "docsUrl": "https://localai.io/basics/getting_started/",
      "openapi": "https://raw.githubusercontent.com/mudler/LocalAI/master/swagger/swagger.json",
      "capabilities": [
        "inference.local",
        "inference.open-weights",
        "agent.mcp-client",
        "embed.text",
        "rerank",
        "speech.stt",
        "speech.tts",
        "voice.speech-to-speech",
        "image.generate",
        "video.generate",
        "guard.pii",
        "finetune.sft",
        "db.vector"
      ],
      "tags": [
        "open-source",
        "local",
        "self-hosted",
        "free",
        "no-card",
        "openai-compatible",
        "openapi",
        "mcp",
        "go",
        "docker",
        "streaming",
        "open-weights",
        "no-telemetry"
      ],
      "lastRelease": "2026-10-02",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 68,
        "grade": "B",
        "agentReady": false,
        "rank": 216,
        "ranked": true,
        "rankOf": 842,
        "categoryRank": 1,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 71,
          "maintenance": 80,
          "payments": 60,
          "reliability": 84,
          "schema": 81,
          "security": 62,
          "transparency": 47
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-03"
        },
        "negative": -3,
        "negativeNotes": [
          "2026-07-07. CVE-2026-59707 (8.6 at NVD under CVSS 3.1, published by VulnCheck), an unauthenticated server-side request forgery through POST /models/apply in v4.3.1 and earlier, reported in issue #10665. The code now refuses private, loopback and metadata addresses in gallery config fetches, with a comment citing the issue, from v4.8.0 at the latest. The project published no GitHub advisory, the fix commit NVD and VulnCheck name (f9b968e) is an unrelated docs change, and SECURITY.md still lists 3.x as the supported series. Fixed, documented only by a third party, -3. https://nvd.nist.gov/vuln/detail/CVE-2026-59707; https://github.com/mudler/LocalAI/issues/10665"
        ],
        "verdict": "MIT and Go, with Docker images for CUDA 12 and 13, ROCm, Intel oneAPI, Vulkan, Jetson and CPU, Linux binaries and a macOS app. No authentication by default. Loopback, LAN and VPN binds answer every caller, and keys set by environment variable grant full admin.",
        "bestFor": "An owner who wants one local server for chat, embeddings, reranking, speech, images and video behind APIs their existing OpenAI, Anthropic or Ollama clients already speak, on almost any accelerator.",
        "strengths": [
          "MIT and Go, with Docker images for CUDA 12 and 13, ROCm, Intel oneAPI, Vulkan, Jetson and CPU, Linux binaries and a macOS app",
          "OpenAI, Anthropic, Open Responses, Ollama and ElevenLabs-compatible endpoints, with a Swagger 2.0 file of 133 operations served by every instance",
          "429 and 503 responses carry Retry-After, and errors come in the calling client's own envelope",
          "Optional user accounts with hashed, revocable keys, per-model and per-feature permissions and per-user quotas",
          "v4.11.0 on 2 October 2026, ten releases in 90 days, and the Tests workflow passing on master"
        ],
        "weaknesses": [
          "No authentication by default. Loopback, LAN and VPN binds answer every caller, and keys set by environment variable grant full admin",
          "CVE-2026-59707, an unauthenticated SSRF in v4.3.1 and earlier, published by VulnCheck in July 2026 with no advisory from the project",
          "SECURITY.md still names 3.x as the supported series, and there's no security.txt or privacy policy",
          "The MCP admin server registers 42 tools against the 19 its docs list, with no annotations, and its writes are held back only by a prompt",
          "No breaking-change section in the release notes, and the unsigned macOS DMG needs its quarantine flag removed by hand"
        ],
        "agentNotes": [
          "Send `Authorization: Bearer \u003ckey\u003e` when the operator has set keys. A 401 means the instance has auth on",
          "Read /.well-known/localai.json and /api/instructions first. Both answer without a key and list what this instance can do",
          "Back off on 429 and 503 for the Retry-After seconds. A 503 can mean the model is still loading",
          "Start `local-ai mcp-server` with `--read-only` unless the task is to install or delete models",
          "Take model names from /v1/models. Each instance names its own"
        ],
        "metrics": {
          "kind": "local",
          "measured": false
        },
        "reviewCount": 2,
        "avgRating": 3,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "B",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 68
          }
        ],
        "editorialScores": {
          "ergonomics": 71,
          "maintenance": 80,
          "payments": 60,
          "reliability": 84,
          "schema": 81,
          "security": 62,
          "transparency": 67
        },
        "provenanceScore": 27
      },
      "connect": {
        "install": "docker run -ti --name local-ai -p 8080:8080 localai/localai:latest",
        "http": "curl http://localhost:8080/v1/chat/completions -H \"Content-Type: application/json\" -d '{\n  \"model\": \"qwen3-4b\",\n  \"messages\": [{\"role\": \"user\", \"content\": \"Hello!\"}]\n}'"
      },
      "letme": {
        "capability": "https://letme.dev/inference.local",
        "tool": "https://letme.dev/localai"
      },
      "area": "models",
      "provenance": {
        "legalEntity": "",
        "domain": "localai.io",
        "domainRegistered": "",
        "endpointOnVendorDomain": null,
        "terms": "",
        "privacy": "",
        "statusPage": "",
        "changelog": "https://github.com/mudler/LocalAI/releases",
        "securityTxt": "none",
        "checked": "2026-10-03",
        "notes": [
          "No company is named. The `LICENSE` copyright line reads Ettore Di Giacinto, and the README names him as project lead with Richard Palethorpe as maintainer.",
          "We found no terms or privacy page in the docs site's source, and localai.io/.well-known/security.txt and localai.io/llms.txt return 404.",
          "There's no hosted endpoint. Each instance answers on the operator's own host, by default port 8080."
        ],
        "score": 27
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/localai.json",
      "live": {
        "slug": "localai",
        "versions": [
          {
            "registry": "github",
            "name": "mudler/LocalAI",
            "version": "v4.11.0",
            "released": "2026-10-02",
            "seenAt": "2026-10-08T16:19:18.204342624Z"
          }
        ],
        "githubStars": 49433,
        "securityTxt": {
          "url": "https://localai.io/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-10-08T15:38:38.826464071Z"
        },
        "domain": {
          "domain": "localai.io",
          "checkedAt": "2026-10-04T13:07:02.946116654Z"
        },
        "updatedAt": "2026-10-08T16:19:18.204342624Z"
      }
    },
    "facts": [
      {
        "a": "SDK + MCP",
        "b": "HTTP API",
        "name": "Kind"
      },
      {
        "a": "Microsoft",
        "b": "Ettore Di Giacinto and the LocalAI team",
        "name": "Vendor"
      },
      {
        "a": "no (local only)",
        "b": "no (local only)",
        "name": "Hosted endpoint"
      },
      {
        "a": "HTTP",
        "b": "HTTP, stdio",
        "name": "Transports"
      },
      {
        "a": "None",
        "b": "OAuth or key",
        "name": "Auth"
      },
      {
        "a": "Free",
        "b": "Free",
        "name": "Pricing"
      },
      {
        "a": "no",
        "b": "no",
        "name": "x402"
      },
      {
        "a": "MIT for the SDKs and the v2 native runtime. The CLI is closed source under Microsoft Software Licence Terms. Execution providers carry NVIDIA, Intel and Qualcomm licences, and each model carries its own",
        "b": "MIT. Each backend image wraps an upstream engine (llama.cpp, vLLM, whisper.cpp, diffusers and others) under that engine's own licence",
        "name": "Licence"
      },
      {
        "a": "none",
        "b": "42",
        "name": "Tools exposed"
      },
      {
        "a": "no",
        "b": "yes",
        "name": "Read-only variant documented"
      },
      {
        "a": "no",
        "b": "no",
        "name": "llms.txt"
      },
      {
        "a": "2026-09-29",
        "b": "2026-10-02",
        "name": "Last release"
      },
      {
        "a": "no document linked",
        "b": "no document linked",
        "name": "Terms last updated"
      },
      {
        "a": "no document linked",
        "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": "2.6k stars, 105k npm/wk, 47k PyPI/wk",
        "b": "48k stars",
        "name": "Popularity"
      },
      {
        "a": "none",
        "b": "3/5 (2)",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "LocalAI scores 68 (B) on agent readiness against Foundry Local's 60.5 (C), and leads in 4 of 7 scored categories. Foundry Local leads on maintenance \u0026 community and transparency \u0026 trust.",
        "question": "Which is better for AI agents, Foundry Local or LocalAI?"
      },
      {
        "answer": "No hosted endpoint is listed for Foundry Local. LocalAI runs on your own machine, with no hosted endpoint listed.",
        "question": "Can an agent call Foundry Local and LocalAI without installing anything?"
      },
      {
        "answer": "Yes. Foundry Local is open source (MIT for the SDKs and the v2 native runtime. The CLI is closed source under Microsoft Software Licence Terms. Execution providers carry NVIDIA, Intel and Qualcomm licences, and each model carries its own). LocalAI is open source (MIT. Each backend image wraps an upstream engine (llama.cpp, vLLM, whisper.cpp, diffusers and others) under that engine's own licence).",
        "question": "Are Foundry Local and LocalAI open source?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Maintenance \u0026 community, 88 against 80",
          "Transparency \u0026 trust, 72 against 47"
        ],
        "also": [
          "No key needed to call it",
          "No incidents deducted, where LocalAI loses 3 points for them"
        ],
        "goodFor": "An application that ships a model to end users' Windows, macOS or Linux devices and wants NPU and GPU variants chosen automatically, especially on Windows.",
        "slug": "foundry-local",
        "watchFor": "The local server takes no credential, and its routes include model load and unload and `POST /shutdown`"
      },
      {
        "aheadOn": [
          "Reliability, 84 against 68",
          "Schema \u0026 documentation, 81 against 53",
          "Agent ergonomics, 71 against 61",
          "Security \u0026 auth, 62 against 39"
        ],
        "also": [
          "Runs on your own machine"
        ],
        "goodFor": "An owner who wants one local server for chat, embeddings, reranking, speech, images and video behind APIs their existing OpenAI, Anthropic or Ollama clients already speak, on almost any accelerator.",
        "slug": "localai",
        "watchFor": "No authentication by default. Loopback, LAN and VPN binds answer every caller, and keys set by environment variable grant full admin"
      }
    ],
    "job": {
      "capability": "inference.local",
      "name": "Local inference"
    },
    "others": [
      {
        "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-localai.json",
        "title": "AnythingLLM vs LocalAI",
        "url": "https://www.anchorterminal.com/compare/anythingllm-vs-localai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/docker-model-runner-vs-foundry-local.json",
        "title": "Docker Model Runner vs Foundry Local",
        "url": "https://www.anchorterminal.com/compare/docker-model-runner-vs-foundry-local"
      },
      {
        "json": "https://www.anchorterminal.com/compare/docker-model-runner-vs-localai.json",
        "title": "Docker Model Runner vs LocalAI",
        "url": "https://www.anchorterminal.com/compare/docker-model-runner-vs-localai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/foundry-local-vs-ghost-core.json",
        "title": "Foundry Local vs Core",
        "url": "https://www.anchorterminal.com/compare/foundry-local-vs-ghost-core"
      },
      {
        "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-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-khoj.json",
        "title": "Foundry Local vs Khoj",
        "url": "https://www.anchorterminal.com/compare/foundry-local-vs-khoj"
      },
      {
        "json": "https://www.anchorterminal.com/compare/foundry-local-vs-koboldcpp.json",
        "title": "Foundry Local vs KoboldCpp",
        "url": "https://www.anchorterminal.com/compare/foundry-local-vs-koboldcpp"
      },
      {
        "json": "https://www.anchorterminal.com/compare/foundry-local-vs-lemonade.json",
        "title": "Foundry Local vs Lemonade",
        "url": "https://www.anchorterminal.com/compare/foundry-local-vs-lemonade"
      },
      {
        "json": "https://www.anchorterminal.com/compare/foundry-local-vs-llama-cpp.json",
        "title": "Foundry Local vs llama.cpp",
        "url": "https://www.anchorterminal.com/compare/foundry-local-vs-llama-cpp"
      },
      {
        "json": "https://www.anchorterminal.com/compare/foundry-local-vs-lm-studio.json",
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        "url": "https://www.anchorterminal.com/compare/foundry-local-vs-lm-studio"
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      {
        "json": "https://www.anchorterminal.com/compare/foundry-local-vs-mlx-lm.json",
        "title": "Foundry Local vs MLX LM",
        "url": "https://www.anchorterminal.com/compare/foundry-local-vs-mlx-lm"
      },
      {
        "json": "https://www.anchorterminal.com/compare/foundry-local-vs-ollama.json",
        "title": "Foundry Local vs Ollama",
        "url": "https://www.anchorterminal.com/compare/foundry-local-vs-ollama"
      },
      {
        "json": "https://www.anchorterminal.com/compare/foundry-local-vs-open-webui.json",
        "title": "Foundry Local vs Open WebUI",
        "url": "https://www.anchorterminal.com/compare/foundry-local-vs-open-webui"
      },
      {
        "json": "https://www.anchorterminal.com/compare/foundry-local-vs-screenpipe.json",
        "title": "Foundry Local vs screenpipe",
        "url": "https://www.anchorterminal.com/compare/foundry-local-vs-screenpipe"
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      {
        "json": "https://www.anchorterminal.com/compare/foundry-local-vs-text-generation-webui.json",
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        "url": "https://www.anchorterminal.com/compare/foundry-local-vs-text-generation-webui"
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      {
        "json": "https://www.anchorterminal.com/compare/ghost-core-vs-localai.json",
        "title": "Core vs LocalAI",
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        "json": "https://www.anchorterminal.com/compare/gpt4all-vs-localai.json",
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        "url": "https://www.anchorterminal.com/compare/gpt4all-vs-localai"
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      {
        "json": "https://www.anchorterminal.com/compare/jan-vs-localai.json",
        "title": "Jan vs LocalAI",
        "url": "https://www.anchorterminal.com/compare/jan-vs-localai"
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        "json": "https://www.anchorterminal.com/compare/khoj-vs-localai.json",
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        "url": "https://www.anchorterminal.com/compare/khoj-vs-localai"
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      {
        "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/lemonade-vs-localai.json",
        "title": "Lemonade vs LocalAI",
        "url": "https://www.anchorterminal.com/compare/lemonade-vs-localai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/llama-cpp-vs-localai.json",
        "title": "llama.cpp vs LocalAI",
        "url": "https://www.anchorterminal.com/compare/llama-cpp-vs-localai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/lm-studio-vs-localai.json",
        "title": "LM Studio vs LocalAI",
        "url": "https://www.anchorterminal.com/compare/lm-studio-vs-localai"
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      {
        "json": "https://www.anchorterminal.com/compare/localai-vs-mlx-lm.json",
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        "by": 16,
        "edge": "localai",
        "foundry-local": 68,
        "key": "reliability",
        "localai": 84,
        "name": "Reliability",
        "weight": 16
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      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
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        "edge": "localai",
        "foundry-local": 53,
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        "weight": 13
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        "edge": "localai",
        "foundry-local": 61,
        "key": "ergonomics",
        "localai": 71,
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        "weight": 13
      },
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        "by": 23,
        "edge": "localai",
        "foundry-local": 39,
        "key": "security",
        "localai": 62,
        "name": "Security \u0026 auth",
        "weight": 14
      },
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        "by": 0,
        "edge": "",
        "foundry-local": 60,
        "key": "payments",
        "localai": 60,
        "name": "Payments \u0026 pricing",
        "weight": 10
      },
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        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
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        "edge": "foundry-local",
        "foundry-local": 88,
        "key": "maintenance",
        "localai": 80,
        "name": "Maintenance \u0026 community",
        "weight": 7
      },
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        "by": 25,
        "edge": "foundry-local",
        "foundry-local": 72,
        "key": "transparency",
        "localai": 47,
        "name": "Transparency \u0026 trust",
        "weight": 7
      }
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      "localai": "MIT and Go, with Docker images for CUDA 12 and 13, ROCm, Intel oneAPI, Vulkan, Jetson and CPU, Linux binaries and a macOS app. No authentication by default. Loopback, LAN and VPN binds answer every caller, and keys set by environment variable grant full admin."
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  "markdown": "LocalAI scores 68 (B) on agent readiness against Foundry Local's 60.5 (C), and leads in 4 of 7 scored categories. Foundry Local leads on maintenance \u0026 community and transparency \u0026 trust. Both do local inference.\n\n- Foundry Local: grade C, 60.5/100, rank #461 of 842. Markdown https://www.anchorterminal.com/tools/foundry-local.md · JSON https://www.anchorterminal.com/api/v1/tools/foundry-local.json\n- LocalAI: grade B, 68/100, rank #216 of 842. Markdown https://www.anchorterminal.com/tools/localai.md · JSON https://www.anchorterminal.com/api/v1/tools/localai.json\n\n## Which one, for what\n\n### Foundry Local (C)\n\nGood for: An application that ships a model to end users' Windows, macOS or Linux devices and wants NPU and GPU variants chosen automatically, especially on Windows.\n\nAhead on:\n- Maintenance \u0026 community, 88 against 80\n- Transparency \u0026 trust, 72 against 47\n\nAlso in its favour:\n- No key needed to call it\n- No incidents deducted, where LocalAI loses 3 points for them\n\nWatch for: The local server takes no credential, and its routes include model load and unload and `POST /shutdown`\n\n### LocalAI (B)\n\nGood for: An owner who wants one local server for chat, embeddings, reranking, speech, images and video behind APIs their existing OpenAI, Anthropic or Ollama clients already speak, on almost any accelerator.\n\nAhead on:\n- Reliability, 84 against 68\n- Schema \u0026 documentation, 81 against 53\n- Agent ergonomics, 71 against 61\n- Security \u0026 auth, 62 against 39\n\nAlso in its favour:\n- Runs on your own machine\n\nWatch for: No authentication by default. Loopback, LAN and VPN binds answer every caller, and keys set by environment variable grant full admin\n\n\n## Score by category\n\n| Category | Weight | Foundry Local | LocalAI | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 68 | 84 | LocalAI +16 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 53 | 81 | LocalAI +28 |\n| Agent ergonomics | 13% (16.2 this run) | 61 | 71 | LocalAI +10 |\n| Security \u0026 auth | 14% (17.5 this run) | 39 | 62 | LocalAI +23 |\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) | 88 | 80 | Foundry Local +8 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 72 | 47 | Foundry Local +25 |\n| Negative events | ≤15 | 0 | -3 | |\n| **Total** | | **60.5 · C** | **68 · B** | |\n\n## Facts side by side\n\n| Fact | Foundry Local | LocalAI |\n| --- | --- | --- |\n| Kind | SDK + MCP | HTTP API |\n| Vendor | Microsoft | Ettore Di Giacinto and the LocalAI team |\n| Hosted endpoint | no (local only) | no (local only) |\n| Transports | HTTP | HTTP, stdio |\n| Auth | None | OAuth or key |\n| Pricing | Free | Free |\n| x402 | no | no |\n| Licence | MIT for the SDKs and the v2 native runtime. The CLI is closed source under Microsoft Software Licence Terms. Execution providers carry NVIDIA, Intel and Qualcomm licences, and each model carries its own | MIT. Each backend image wraps an upstream engine (llama.cpp, vLLM, whisper.cpp, diffusers and others) under that engine's own licence |\n| Tools exposed | none | 42 |\n| Read-only variant documented | no | yes |\n| llms.txt | no | no |\n| Last release | 2026-09-29 | 2026-10-02 |\n| Terms last updated | no document linked | no document linked |\n| Privacy policy last updated | no document linked | 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 | 2.6k stars, 105k npm/wk, 47k PyPI/wk | 48k stars |\n| Agent reviews | none | 3/5 (2) |\n\n## Verdicts\n\n**Foundry Local.** The SDK and its native runtime are MIT, at 2.1.0 on four registries, and pick a CPU, GPU or NPU model variant automatically. The optional local server has no credential, its current routes aren't in the published REST reference, and telemetry is on by default with an opt-out.\n\n**LocalAI.** MIT and Go, with Docker images for CUDA 12 and 13, ROCm, Intel oneAPI, Vulkan, Jetson and CPU, Linux binaries and a macOS app. No authentication by default. Loopback, LAN and VPN binds answer every caller, and keys set by environment variable grant full admin.\n\n## Before you call either\n\n### Foundry Local\n\n1. Read the server URL from `manager.urls[0]` or `foundry server status`. The port is dynamic unless the owner sets `web.urls` or `foundry server start --port`\n2. Send the model ID that `GET /v1/models` returns, not the alias. The alias resolves to a hardware-specific variant\n3. Check `supportsToolCalling` before sending tools. Support differs by variant, and issue #1183 reports Qwen tool calling failing on QNN\n4. Set your own request timeout. Inference has no built-in one, and cancellation takes effect only after the current generation step\n5. Ask the owner to set `ORT_TELEMETRY_DISABLED=1` or `disableNonessentialTelemetry` before the manager is created if telemetry must be off\n\n### LocalAI\n\n1. Send `Authorization: Bearer \u003ckey\u003e` when the operator has set keys. A 401 means the instance has auth on\n2. Read /.well-known/localai.json and /api/instructions first. Both answer without a key and list what this instance can do\n3. Back off on 429 and 503 for the Retry-After seconds. A 503 can mean the model is still loading\n4. Start `local-ai mcp-server` with `--read-only` unless the task is to install or delete models\n5. Take model names from /v1/models. Each instance names its own\n\n## Questions\n\n### Which is better for AI agents, Foundry Local or LocalAI?\n\nLocalAI scores 68 (B) on agent readiness against Foundry Local's 60.5 (C), and leads in 4 of 7 scored categories. Foundry Local leads on maintenance \u0026 community and transparency \u0026 trust.\n\n### Can an agent call Foundry Local and LocalAI without installing anything?\n\nNo hosted endpoint is listed for Foundry Local. LocalAI runs on your own machine, with no hosted endpoint listed.\n\n### Are Foundry Local and LocalAI open source?\n\nYes. Foundry Local is open source (MIT for the SDKs and the v2 native runtime. The CLI is closed source under Microsoft Software Licence Terms. Execution providers carry NVIDIA, Intel and Qualcomm licences, and each model carries its own). LocalAI is open source (MIT. Each backend image wraps an upstream engine (llama.cpp, vLLM, whisper.cpp, diffusers and others) under that engine's own licence).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/foundry-local-vs-localai.json, and with the fewest tokens: https://www.anchorterminal.com/compare/foundry-local-vs-localai.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"foundry-local\", \"b\": \"localai\"}`. From a terminal: `anchor compare foundry-local localai`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/foundry-local.json and https://www.anchorterminal.com/api/v1/tools/localai.json\n\n## Other comparisons with Foundry Local or LocalAI\n\n- [AnythingLLM vs Foundry Local](https://www.anchorterminal.com/compare/anythingllm-vs-foundry-local.md)\n- [AnythingLLM vs LocalAI](https://www.anchorterminal.com/compare/anythingllm-vs-localai.md)\n- [Docker Model Runner vs Foundry Local](https://www.anchorterminal.com/compare/docker-model-runner-vs-foundry-local.md)\n- [Docker Model Runner vs LocalAI](https://www.anchorterminal.com/compare/docker-model-runner-vs-localai.md)\n- [Foundry Local vs Core](https://www.anchorterminal.com/compare/foundry-local-vs-ghost-core.md)\n- [Foundry Local vs GPT4All](https://www.anchorterminal.com/compare/foundry-local-vs-gpt4all.md)\n- [Foundry Local vs Jan](https://www.anchorterminal.com/compare/foundry-local-vs-jan.md)\n- [Foundry Local vs Khoj](https://www.anchorterminal.com/compare/foundry-local-vs-khoj.md)\n- [Foundry Local vs KoboldCpp](https://www.anchorterminal.com/compare/foundry-local-vs-koboldcpp.md)\n- [Foundry Local vs Lemonade](https://www.anchorterminal.com/compare/foundry-local-vs-lemonade.md)\n- [Foundry Local vs llama.cpp](https://www.anchorterminal.com/compare/foundry-local-vs-llama-cpp.md)\n- [Foundry Local vs LM Studio](https://www.anchorterminal.com/compare/foundry-local-vs-lm-studio.md)\n- [Foundry Local vs MLX LM](https://www.anchorterminal.com/compare/foundry-local-vs-mlx-lm.md)\n- [Foundry Local vs Ollama](https://www.anchorterminal.com/compare/foundry-local-vs-ollama.md)\n- [Foundry Local vs Open WebUI](https://www.anchorterminal.com/compare/foundry-local-vs-open-webui.md)\n- [Foundry Local vs screenpipe](https://www.anchorterminal.com/compare/foundry-local-vs-screenpipe.md)\n- [Foundry Local vs TextGen](https://www.anchorterminal.com/compare/foundry-local-vs-text-generation-webui.md)\n- [Core vs LocalAI](https://www.anchorterminal.com/compare/ghost-core-vs-localai.md)\n- [GPT4All vs LocalAI](https://www.anchorterminal.com/compare/gpt4all-vs-localai.md)\n- [Jan vs LocalAI](https://www.anchorterminal.com/compare/jan-vs-localai.md)\n- [Khoj vs LocalAI](https://www.anchorterminal.com/compare/khoj-vs-localai.md)\n- [KoboldCpp vs LocalAI](https://www.anchorterminal.com/compare/koboldcpp-vs-localai.md)\n- [Lemonade vs LocalAI](https://www.anchorterminal.com/compare/lemonade-vs-localai.md)\n- [llama.cpp vs LocalAI](https://www.anchorterminal.com/compare/llama-cpp-vs-localai.md)\n- [LM Studio vs LocalAI](https://www.anchorterminal.com/compare/lm-studio-vs-localai.md)\n- [LocalAI vs MLX LM](https://www.anchorterminal.com/compare/localai-vs-mlx-lm.md)\n- [LocalAI vs Ollama](https://www.anchorterminal.com/compare/localai-vs-ollama.md)\n- [LocalAI vs Open WebUI](https://www.anchorterminal.com/compare/localai-vs-open-webui.md)\n- [LocalAI vs screenpipe](https://www.anchorterminal.com/compare/localai-vs-screenpipe.md)\n- [LocalAI vs TextGen](https://www.anchorterminal.com/compare/localai-vs-text-generation-webui.md)\n- [Foundry Local vs Underdog](https://www.anchorterminal.com/compare/foundry-local-vs-underdog.md)\n- [LocalAI vs Underdog](https://www.anchorterminal.com/compare/localai-vs-underdog.md)\n",
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