{ "data": { "a": { "slug": "hyperqwen", "name": "HyperQwen", "vendor": "syv.ai (syv-ai on GitHub)", "vendorUrl": "https://syv.ai", "kind": "http-api", "category": "local-ai", "summary": "HyperQwen is syv.ai's open-source serving setup for Qwen3.8-27B on one 24 GB NVIDIA GPU. A patch series against a pinned vLLM, a requantisation pipeline and Docker Compose profiles run vLLM's OpenAI-compatible API on port 18020.", "url": "https://www.anchorterminal.com/tools/hyperqwen", "markdownUrl": "https://www.anchorterminal.com/tools/hyperqwen.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/hyperqwen.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/hyperqwen.json", "repo": "https://github.com/syv-ai/HyperQwen", "license": "Apache-2.0", "transports": [ "http" ], "packages": [ { "registry": "oci", "name": "ghcr.io/syv-ai/hyperqwen" } ], "auth": "none", "authNotes": "No credential by default. `VLLM_API_KEY` in `.env` (or an `api_key.txt` file) turns on vLLM's Bearer check. With no key, the launcher binds 127.0.0.1 outside a container, and Docker Compose publishes the port on 127.0.0.1 unless `BIND` is changed. With a key set, the launcher binds every interface. The key is vLLM's own, one static key with no scopes, which vLLM checks only under `/v1`, `/v2`, `/inference` and `/cohere` (per the vLLM listing's check of 9 October 2026, https://github.com/vllm-project/vllm/blob/main/docs/usage/security.md).", "pricing": "free", "pricingNotes": "Free under Apache-2.0 with no account, key or card. Nothing is sold. The README links a Ko-fi page for donations towards GPU time. The owner pays for a 24 GB NVIDIA GPU, about 40 GB of disk and electricity.", "priceSummary": "Free · OSS", "where": "local", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the README, the docs or the launch scripts (checked 2026-10-30). Nothing is sold.", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 2400, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-30" }, "docsUrl": "https://github.com/syv-ai/HyperQwen#readme", "capabilities": [ "inference.local", "inference.open-weights" ], "tags": [ "open-source", "local", "self-hosted", "free", "no-card", "apache-2.0", "openai-compatible", "docker", "tool-calling", "reasoning", "pre-1.0" ], "graded": true, "anchor": { "graded": true, "score": 56.9, "grade": "C", "agentReady": false, "rank": 738, "ranked": true, "rankOf": 1239, "categoryRank": 11, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 65, "maintenance": 68, "payments": 60, "reliability": 59, "schema": 56, "security": 41, "transparency": 55 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-30" }, "negative": 0, "verdict": "HyperQwen packages a patched vLLM 0.32.0 and requantised Qwen3.8-27B weights into one container with tool calling preset and a loopback bind when no key is set. It runs one model family, its speed figures come from one RTX 3090, and it has no versioned releases, changelog or security policy.", "bestFor": "An operator with one 24 GB NVIDIA card who wants Qwen3.8-27B behind an OpenAI-compatible endpoint for a coding or tool-calling agent, with long context.", "strengths": [ "Prebuilt image on ghcr.io with an immutable tag per commit, built by CI that applies all 60 patches and runs the build-time tests", "Tool calling on by default with the `qwen3_coder` parser and argument schemas enforced (`TOOL_STRICT=parameter`)", "With no API key the server listens on 127.0.0.1 only, and a CI check tests that default", "Five documented setups from 64k to 240k context, with the measured cost of each knob", "Apache-2.0 throughout, with vendored kernels and patches carrying their upstream references" ], "weaknesses": [ "Serves Qwen3.8-27B and checkpoints derived from it only. Other models are on the roadmap", "No tags, releases or changelog. Changes reach users through `latest` on every push to main", "No SECURITY.md or disclosure route, and the base weights come from a third-party repository with no pinned revision", "vLLM's key covers only `/v1`-style prefixes, so control routes such as `/pause` answer without it", "First start pulls a 9.5 GB image and about 20 GB of weights and can take over 30 minutes" ], "agentNotes": [ "Call http://127.0.0.1:18020/v1 with model `qwen3.8-27b` and the `VLLM_API_KEY` value, or any string if no key was set", "Poll `/health` before the first request. A first start downloads and prepares the model and compiles kernels, which can take over 30 minutes", "Declare the context window your setup uses (65,536 by default, 131,072 for `CTX=long`, 245,760 for `CTX=huge`) so the client doesn't truncate", "Ask the owner to set `VLLM_API_KEY` before setting `BIND=0.0.0.0`, and to front the port with a proxy that allowlists routes", "Treat the README's tokens-per-second figures as the project's measurements on one RTX 3090 at 250 W" ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "C", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 56.9 } ], "editorialScores": { "ergonomics": 65, "maintenance": 68, "payments": 60, "reliability": 59, "schema": 56, "security": 41, "transparency": 60 }, "provenanceScore": 49, "checked": { "categories": { "ergonomics": "2026-10-30", "maintenance": "2026-10-30", "payments": "2026-10-30", "reliability": "2026-10-30", "schema": "2026-10-30", "security": "2026-10-30", "transparency": "2026-10-30" }, "last": "2026-10-30", "oldest": "2026-10-30", "stale": false, "staleAfterDays": 90 } }, "connect": { "install": "git clone https://github.com/syv-ai/HyperQwen \u0026\u0026 cd HyperQwen\ncp .env.example .env\n\ndocker compose --profile single up -d # one or a few people chatting\ndocker compose --profile batch up -d # API backend, many concurrent requests" }, "letme": { "capability": "https://letme.dev/inference.local", "tool": "https://letme.dev/hyperqwen" }, "area": "models", "provenance": { "legalEntity": "syv.ai (Copenhagen, CVR DK44671247)", "domain": "syv.ai", "domainRegistered": "", "endpointOnVendorDomain": null, "terms": "", "privacy": "https://syv.ai/privatlivspolitik", "statusPage": "", "changelog": "", "securityTxt": "none", "checked": "2026-10-30", "notes": [ "The Hugging Face organisation syvai, full name syv.ai, links https://syv.ai and github.com/syv-ai, and hosts the drafter files HyperQwen downloads. syv.ai's own pages don't mention HyperQwen.", "syv.ai's contact page gives the address in Copenhagen and CVR DK44671247. The Danish CVR register answered with a bot check and wasn't read.", "No terms, SECURITY.md or changelog for HyperQwen. The Apache-2.0 licence stands in for terms. The privacy policy listed is syv.ai's website policy and doesn't cover the software, which runs on the owner's machine.", "syv.ai answers 404 at /.well-known/security.txt and /security.txt." ], "score": 49 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/hyperqwen.json" }, "answer": "HyperQwen scores 56.9 (C) on agent readiness against Open WebUI's 52 (D), and leads in 2 of 7 scored categories. Open WebUI leads on reliability, security \u0026 auth, maintenance \u0026 community and transparency \u0026 trust.", "b": { "slug": "open-webui", "name": "Open WebUI", "vendor": "Open WebUI Inc.", "vendorUrl": "https://openwebui.com", "kind": "platform", "category": "local-ai", "summary": "Self-hosted web interface for chatting with models, from Open WebUI Inc., with a Python (FastAPI) back end and a Svelte front end.", "url": "https://www.anchorterminal.com/tools/open-webui", "markdownUrl": "https://www.anchorterminal.com/tools/open-webui.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/open-webui.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/open-webui.json", "repo": "https://github.com/open-webui/open-webui", "license": "Open WebUI License. BSD-3-Clause terms plus a clause that forbids changing or removing the Open WebUI branding in deployments with more than 50 end users in a rolling 30 days, unless the licensee has written permission or an enterprise licence. Code from before set commits stays under MIT or BSD-3-Clause (LICENSE_HISTORY), and contributors sign a CLA", "transports": [ "http" ], "packages": [ { "registry": "pypi", "name": "open-webui" }, { "registry": "oci", "name": "ghcr.io/open-webui/open-webui" } ], "auth": "api-key", "authNotes": "Sign-in is on by default (`WEBUI_AUTH`), the first account to sign up becomes admin, and sign-up then closes. An agent calls the API with `Authorization: Bearer \u003ctoken\u003e`, either an `sk-` API key from Settings \u003e Account or a session JWT, which lasts four weeks by default (`JWT_EXPIRES_IN`), and behind a reverse proxy that uses `Authorization` itself the key can go in an `x-api-key` header (https://docs.openwebui.com/reference/api-endpoints). API keys stay off until an administrator turns them on (`ENABLE_API_KEYS` defaults to false), a group permission decides who may create one, and they can be limited instance-wide to listed endpoints with `ENABLE_API_KEYS_ENDPOINT_RESTRICTIONS` and `API_KEYS_ALLOWED_ENDPOINTS` (https://github.com/open-webui/open-webui/blob/main/backend/open_webui/config.py). Each user has one key, `sk-` plus 32 hexadecimal characters, stored as plain text with a last-used time and no expiry set by the API (https://github.com/open-webui/open-webui/blob/main/backend/open_webui/routers/auths.py). People sign in with email and password, OAuth or OIDC, LDAP or trusted headers, with SCIM 2.0 provisioning.", "pricing": "free", "pricingNotes": "Free to self-host under the Open WebUI License. Deployments with more than 50 end users in a rolling 30 days have to keep the Open WebUI branding unless they hold an enterprise licence or written permission. The enterprise licence (white-labelling, SLA-backed support, Terminals) is sold through sales to registered organisations only, with no published prices (https://docs.openwebui.com/enterprise). There's no hosted Open WebUI service. You pay your model provider, or nothing with a local model (checked 2026-10-03).", "priceSummary": "Free", "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": 153000, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-03" }, "docsUrl": "https://docs.openwebui.com", "llmsTxt": "https://docs.openwebui.com/llms.txt", "capabilities": [ "inference.local", "agent.mcp-client", "memory.user", "knowledge.search" ], "tags": [ "self-hosted", "local", "free", "python", "docker", "openai-compatible", "llms-txt", "enterprise" ], "lastRelease": "2026-09-21", "graded": true, "disclosure": "Open WebUI competes with LocalGhost, which Anchor Terminal's founder builds, and LocalGhost's own about page names it as a competitor. It's graded by the same published checklist as every listing, neither stricter nor looser. Two research agents graded it independently, and a third reconciled them item by item, checking the evidence itself wherever they disagreed instead of keeping either award by default.", "competesWith": "localghost", "anchor": { "graded": true, "score": 52, "grade": "D", "agentReady": false, "rank": 896, "ranked": true, "rankOf": 1239, "categoryRank": 16, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 54, "maintenance": 91, "payments": 20, "reliability": 68, "schema": 60, "security": 63, "transparency": 73 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-03" }, "negative": -8, "negativeNotes": [ "2026-05-05. GHSA-2r4p-jpmg-48f4 (CVE-2026-44551, Critical, 9.1). LDAP sign-in accepted an empty password where the directory allows unauthenticated binds, giving full access to the victim's account. It affects 0.8.12 and earlier and was fixed in 0.9.0 (21 April 2026) before publication, -2. https://github.com/open-webui/open-webui/security/advisories/GHSA-2r4p-jpmg-48f4", "2026-07-02. GHSA-74h3-cxq7-vc5q (CVE-2026-59216, 7.7). A signed-in low-privilege user could run code and tools in another user's session through an unchecked Socket.IO session_id, which against an administrator meant code execution as the server process (root in default containers). Fixed in 0.10.0 on 29 June 2026 and published three days later, -2. https://github.com/open-webui/open-webui/security/advisories/GHSA-74h3-cxq7-vc5q", "2026-08-02 and 2026-09-04. Two account takeovers through OAuth, both High. GHSA-rq84-p6rr-vf89 accepted tokens issued to any client in the OAuth token exchange (fixed in 0.11.0), and GHSA-wpmr-8h3q-fwj7 (8.1) matched OAuth and OIDC subjects by substring on SQLite, so a crafted subject could sign in as an existing account, administrators included (fixed in 0.11.1 on 25 August). Both fixed before publication, -2. https://github.com/open-webui/open-webui/security/advisories/GHSA-rq84-p6rr-vf89; https://github.com/open-webui/open-webui/security/advisories/GHSA-wpmr-8h3q-fwj7", "2025-10-03 to 2026-10-03. The rest of the year's record. GitHub reviewed 143 of the repository's advisories in the 12 months to 3 October 2026, and 129 cover flaws fixed in releases from 0.6.35 (6 November 2025) on, 58 High and 1 Critical, more than half of them access-control or authorisation flaws by their titles and CWE tags. July to September alone brought 52 (18 High, 29 Moderate, 5 Low) in batches published on 2 July, 2 August and 4 September. Each was fixed in a release before publication, so the 125 beyond the four above count together, -2. https://github.com/open-webui/open-webui/security/advisories; https://github.com/advisories?query=open-webui+type%3Areviewed+ecosystem%3Apip" ], "verdict": "Five releases in the 90 days to 3 October 2026, each with a dated changelog entry that warns of database migrations. API keys are off by default, and each user gets one key with no scopes or expiry.", "bestFor": "A household or team that wants one chat interface over local and hosted models, with shared knowledge bases, memories, tools and access control, on their own server.", "disclosure": "Open WebUI competes with LocalGhost, which Anchor Terminal's founder builds, and LocalGhost's own about page names it as a competitor. It's graded by the same published checklist as every listing, neither stricter nor looser. Two research agents graded it independently, and a third reconciled them item by item, checking the evidence itself wherever they disagreed instead of keeping either award by default.", "strengths": [ "Five releases in the 90 days to 3 October 2026, each with a dated changelog entry that warns of database migrations", "OpenAI-compatible `/api/chat/completions` and `/api/models`, plus an Anthropic Messages route and an Ollama proxy, so OpenAI's SDKs work against a local instance", "Roles, groups, per-model and per-knowledge access grants, a group permission for key creation and an instance-wide endpoint allowlist for keys", "An audit log at metadata, request or request-and-response level, plus events for key creation and deletion", "No product telemetry found, third-party analytics off in the Docker image, and `OFFLINE_MODE` to stop the release check and model downloads" ], "weaknesses": [ "API keys are off by default, and each user gets one key with no scopes or expiry", "The API reference covers seven route groups, and the OpenAPI file and Swagger UI need `ENV=dev`", "52 advisories published from July to September 2026, 18 of them High, including cross-user code execution (CVE-2026-59216) and two OAuth account takeovers, all fixed", "Pre-1.0 (0.11), with database migrations in patch releases and no rolling updates during them", "The branding clause makes the licence non-OSI, and the enterprise licence has no published price" ], "agentNotes": [ "Ask the administrator to set `ENABLE_API_KEYS=true` and let your group create keys. `sk-` keys are refused until then", "Send OpenAI's request shape to `/api/chat/completions` with a Bearer key, or use `x-api-key` behind a proxy that takes `Authorization` for itself", "Call `/api/models` first and use an `id` from it. Model IDs depend on the instance's connections", "Poll `GET /api/v1/files/{id}/process/status` until it reads `completed` before adding a file to a knowledge base", "Expect a 403 on routes outside `API_KEYS_ALLOWED_ENDPOINTS` when the administrator has set an allowlist" ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 2, "avgRating": 2.5, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "D", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 52 } ], "editorialScores": { "ergonomics": 54, "maintenance": 91, "payments": 20, "reliability": 68, "schema": 60, "security": 63, "transparency": 66 }, "provenanceScore": 80, "checked": { "categories": { "ergonomics": "2026-10-03", "maintenance": "2026-10-03", "payments": "2026-10-03", "reliability": "2026-10-03", "schema": "2026-10-03", "security": "2026-10-03", "transparency": "2026-10-03" }, "last": "2026-10-03", "lastMoved": "2026-10-27", "oldest": "2026-10-03", "stale": false, "staleAfterDays": 90 } }, "connect": { "install": "pip install open-webui \u0026\u0026 open-webui serve # or: docker run -d -p 3000:8080 --add-host=host.docker.internal:host-gateway -v open-webui:/app/backend/data --name open-webui --restart always ghcr.io/open-webui/open-webui:main", "http": "curl -X POST http://localhost:3000/api/chat/completions \\\n -H \"Authorization: Bearer $OPEN_WEBUI_API_KEY\" \\\n -H \"Content-Type: application/json\" \\\n -d '{\"model\": \"llama3.1\", \"messages\": [{\"role\": \"user\", \"content\": \"Why is the sky blue?\"}]}'" }, "letme": { "capability": "https://letme.dev/inference.local", "tool": "https://letme.dev/open-webui" }, "area": "models", "provenance": { "legalEntity": "Open WebUI Inc.", "domain": "openwebui.com", "domainRegistered": "2024-02-17", "endpointOnVendorDomain": null, "terms": "https://openwebui.com/terms", "privacy": "https://openwebui.com/privacy", "statusPage": "", "changelog": "https://github.com/open-webui/open-webui/blob/main/CHANGELOG.md", "securityTxt": "valid", "checked": "2026-10-03", "notes": [ "The LICENSE copyright line names Open WebUI Inc., created by Timothy Jaeryang Baek, and the privacy policy names Open WebUI, Inc. with no address.", "openwebui.com/.well-known/security.txt points to GitHub Security Advisories and expires on 2027-06-30.", "The privacy policy, last updated on 31 December 2025, covers openwebui.com and its community services only, says nothing about the self-hosted software, and gives no retention periods.", "We found no status page linked from openwebui.com. There's no hosted service, so an instance answers on its owner's own host.", "RDAP for openwebui.com gives a registration date of 2024-02-17, registrar Cloudflare. The terms page wasn't read for this check." ], "score": 80 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/open-webui.json", "live": { "slug": "open-webui", "versions": [ { "registry": "github", "name": "open-webui/open-webui", "version": "v0.12.5", "released": "2026-10-29", "seenAt": "2026-10-30T14:33:19.926131138Z" }, { "registry": "pypi", "name": "open-webui", "version": "0.12.5", "released": "2026-10-29", "seenAt": "2026-10-30T14:33:19.736429691Z" } ], "githubStars": 157251, "pypiWeekly": 138662, "securityTxt": { "url": "https://openwebui.com/.well-known/security.txt", "state": "valid", "expires": "2027-06-30T00:00:00Z", "checkedAt": "2026-10-30T15:38:53.994536496Z" }, "llmsTxt": { "url": "https://docs.openwebui.com/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-30T15:08:14.29737851Z" }, "domain": { "domain": "openwebui.com", "registered": "2024-02-17", "source": "https://rdap.verisign.com/com/v1/domain/openwebui.com", "checkedAt": "2026-10-25T13:46:27.685354873Z" }, "pages": [ { "url": "https://raw.githubusercontent.com/open-webui/open-webui/main/CHANGELOG.md", "kind": "deprecations", "status": 200, "checkedAt": "2026-10-30T05:49:49.954729883Z", "changedAt": "2026-10-30T05:49:49.954729883Z", "fingerprint": "5d24b81e6140" }, { "url": "https://openwebui.com/privacy", "kind": "privacy", "status": 200, "checkedAt": "2026-10-30T05:44:51.82534378Z", "changedAt": "2026-10-28T04:39:43.062313955Z", "fingerprint": "8271f6db6c25" }, { "url": "https://openwebui.com/terms", "kind": "terms", "status": 200, "checkedAt": "2026-10-30T05:44:54.990363275Z", "changedAt": "2026-10-28T04:39:46.063640237Z", "fingerprint": "5fbef3db2a19" } ], "github": { "repo": "open-webui/open-webui", "checkedAt": "2026-10-26T07:52:02.505854492Z", "stars": 156776, "archived": false, "issuesEnabled": true, "pushedAt": "2026-10-26T07:09:27Z", "openIssues": 177, "openPRs": 19, "issuesOpened90d": 1554, "issuesClosed90d": 1586, "prsMerged90d": 1178, "ci": { "branch": "main", "runs": 50, "success": 43, "failure": 6, "other": 1, "latest": "success", "latestAt": "2026-10-25T08:09:40Z" }, "advisories": [ { "ghsa": "GHSA-3vvh-g22g-jq6r", "severity": "medium", "published": "2026-10-18T19:50:50Z" }, { "ghsa": "GHSA-q46m-r89w-j74p", "severity": "high", "published": "2026-09-28T16:36:41Z" }, { "ghsa": "GHSA-gqfh-jxvw-74rp", "severity": "medium", "published": "2026-09-27T19:55:15Z" }, { "ghsa": "GHSA-whgc-vpjx-m3qh", "severity": "medium", "published": "2026-09-27T19:53:56Z" }, { "ghsa": "GHSA-wf9m-46cp-c6h6", "severity": "medium", "published": "2026-09-27T19:51:36Z" }, { "ghsa": "GHSA-w8j8-jv6j-3m47", "severity": "medium", "published": "2026-09-27T19:49:07Z" }, { "ghsa": "GHSA-vpq8-f445-hcq7", "severity": "high", "published": "2026-09-27T19:47:06Z" }, { "ghsa": "GHSA-qpqv-xwg8-cqpj", "severity": "high", "published": "2026-09-27T19:45:25Z" }, { "ghsa": "GHSA-jx3w-3pqq-7f3w", "severity": "medium", "published": "2026-09-27T19:34:53Z" }, { "ghsa": "GHSA-hm62-64q2-6gxw", "severity": "medium", "published": "2026-09-27T19:33:41Z" }, { "ghsa": "GHSA-gww9-mhgj-pfqh", "severity": "medium", "published": "2026-09-27T19:32:16Z" }, { "ghsa": "GHSA-gfjp-5hc9-852r", "severity": "medium", "published": "2026-09-27T19:30:44Z" }, { "ghsa": "GHSA-f9xp-mfmq-x6cg", "severity": "high", "published": "2026-09-27T19:29:00Z" }, { "ghsa": "GHSA-9wj4-mcm3-ppj6", "severity": "medium", "published": "2026-09-27T19:27:08Z" }, { "ghsa": "GHSA-9cxp-636w-4997", "severity": "medium", "published": "2026-09-27T19:25:50Z" }, { "ghsa": "GHSA-6g45-8g27-fh8q", "severity": "medium", "published": "2026-09-27T19:22:59Z" }, { "ghsa": "GHSA-6fjc-5cg3-mgvh", "severity": "medium", "published": "2026-09-27T16:42:03Z" }, { "ghsa": "GHSA-5w58-mwmh-vf2m", "severity": "medium", "published": "2026-09-27T16:31:36Z" }, { "ghsa": "GHSA-2rr4-q6pg-m5g3", "severity": "medium", "published": "2026-09-27T16:14:42Z" }, { "ghsa": "GHSA-2h26-836q-4jh2", "severity": "medium", "published": "2026-09-27T15:58:57Z" }, { "ghsa": "GHSA-wvm9-9g5j-623f", "cve": "CVE-2026-88006", "severity": "medium", "published": "2026-09-09T21:59:45Z" }, { "ghsa": "GHSA-3g9q-v48f-hh9w", "cve": "CVE-2026-87011", "severity": "high", "published": "2026-09-04T12:08:59Z" }, { "ghsa": "GHSA-v39v-59xw-j98g", "cve": "CVE-2026-87012", "severity": "medium", "published": "2026-09-04T12:05:52Z" }, { "ghsa": "GHSA-8r35-5x5r-hv74", "cve": "CVE-2026-87013", "severity": "medium", "published": "2026-09-04T11:49:34Z" }, { "ghsa": "GHSA-wjwr-xfp9-r66p", "cve": "CVE-2026-87014", "severity": "medium", "published": "2026-09-04T11:48:27Z" }, { "ghsa": "GHSA-p78m-89r6-pgf7", "cve": "CVE-2026-87015", "severity": "medium", "published": "2026-09-04T11:47:12Z" }, { "ghsa": "GHSA-wpmr-8h3q-fwj7", "cve": "CVE-2026-87016", "severity": "high", "published": "2026-09-04T11:43:51Z" }, { "ghsa": "GHSA-pcvc-8vrv-8q6w", "cve": "CVE-2026-87017", "severity": "medium", "published": "2026-08-31T16:13:50Z" }, { "ghsa": "GHSA-fmqh-xp37-5hr8", "cve": "CVE-2026-87994", "severity": "medium", "published": "2026-08-31T15:48:12Z" }, { "ghsa": "GHSA-jmc6-2wr8-h3wj", "cve": "CVE-2026-87995", "severity": "high", "published": "2026-08-31T15:43:57Z" }, { "ghsa": "GHSA-4v28-j6q3-5m4r", "cve": "CVE-2026-87996", "severity": "high", "published": "2026-08-31T15:42:38Z" }, { "ghsa": "GHSA-3pf7-q2g3-wj28", "cve": "CVE-2026-87997", "severity": "medium", "published": "2026-08-30T17:00:13Z" }, { "ghsa": "GHSA-2724-6cpj-gf3v", "cve": "CVE-2026-87998", "severity": "high", "published": "2026-08-30T16:54:04Z" }, { "ghsa": "GHSA-34r3-9m95-vq73", "cve": "CVE-2026-87999", "severity": "high", "published": "2026-08-30T16:48:07Z" }, { "ghsa": "GHSA-3cgp-3cqx-j8w2", "cve": "CVE-2026-88000", "severity": "medium", "published": "2026-08-29T11:52:10Z" }, { "ghsa": "GHSA-5x7x-4c3c-qf5w", "cve": "CVE-2026-88001", "severity": "medium", "published": "2026-08-29T11:49:13Z" }, { "ghsa": "GHSA-jqhh-cjmq-vmv6", "cve": "CVE-2026-88002", "severity": "medium", "published": "2026-08-29T10:57:26Z" }, { "ghsa": "GHSA-4qg5-cxx4-g927", "cve": "CVE-2026-88005", "severity": "medium", "published": "2026-08-29T10:45:07Z" }, { "ghsa": "GHSA-8x5v-cpv7-8jjp", "cve": "CVE-2026-70485", "severity": "high", "published": "2026-08-02T23:12:13Z" }, { "ghsa": "GHSA-3vf6-64vr-3g56", "cve": "CVE-2026-70483", "severity": "low", "published": "2026-08-02T23:10:05Z" }, { "ghsa": "GHSA-pwxh-7358-jq2x", "cve": "CVE-2026-70492", "severity": "high", "published": "2026-08-02T23:08:30Z" }, { "ghsa": "GHSA-6xhv-rxhv-pwm4", "cve": "CVE-2026-70487", "severity": "medium", "published": "2026-08-02T23:07:17Z" }, { "ghsa": "GHSA-jxc9-xmc4-gr23", "cve": "CVE-2026-70488", "severity": "medium", "published": "2026-08-02T23:05:27Z" }, { "ghsa": "GHSA-5gpj-vj23-vhhv", "cve": "CVE-2026-70490", "severity": "medium", "published": "2026-08-02T23:04:23Z" }, { "ghsa": "GHSA-g423-grf7-98rv", "cve": "CVE-2026-70484", "severity": "medium", "published": "2026-08-02T22:58:19Z" }, { "ghsa": "GHSA-rffm-9q57-q649", "cve": "CVE-2026-70480", "severity": "medium", "published": "2026-08-02T22:54:08Z" }, { "ghsa": "GHSA-3r7g-q6cg-q2vx", "cve": "CVE-2026-70491", "severity": "medium", "published": "2026-08-02T22:47:08Z" }, { "ghsa": "GHSA-3xpf-xq7r-v8c5", "cve": "CVE-2026-70486", "severity": "high", "published": "2026-08-02T22:30:32Z" }, { "ghsa": "GHSA-2f54-p244-32q6", "cve": "CVE-2026-70493", "severity": "medium", "published": "2026-08-02T22:28:14Z" }, { "ghsa": "GHSA-73cq-mcgh-379c", "cve": "CVE-2026-70489", "severity": "medium", "published": "2026-08-02T22:08:09Z" }, { "ghsa": "GHSA-mj5r-jf49-m3w7", "cve": "CVE-2026-70481", "severity": "medium", "published": "2026-08-02T21:40:08Z" }, { "ghsa": "GHSA-w2rx-84hp-gg95", "cve": "CVE-2026-70479", "severity": "high", "published": "2026-08-02T21:36:36Z" }, { "ghsa": "GHSA-3cg5-48j3-v4gv", "cve": "CVE-2026-70494", "severity": "high", "published": "2026-08-02T21:21:29Z" }, { "ghsa": "GHSA-rq84-p6rr-vf89", "cve": "CVE-2026-70482", "severity": "high", "published": "2026-08-02T21:03:25Z" }, { "ghsa": "GHSA-frvj-c5qp-xj4w", "cve": "CVE-2026-59221", "severity": "high", "published": "2026-07-02T19:47:03Z" }, { "ghsa": "GHSA-m3qf-58wf-w979", "cve": "CVE-2026-59225", "severity": "medium", "published": "2026-07-02T16:33:50Z" }, { "ghsa": "GHSA-2xwm-4h2q-ggfx", "cve": "CVE-2026-59212", "severity": "medium", "published": "2026-07-02T15:58:11Z" }, { "ghsa": "GHSA-j657-m4c4-24jq", "cve": "CVE-2026-59224", "severity": "high", "published": "2026-07-02T15:10:12Z" }, { "ghsa": "GHSA-qg3f-8x3j-ggf2", "cve": "CVE-2026-59223", "severity": "medium", "published": "2026-07-02T14:56:49Z" }, { "ghsa": "GHSA-gh7p-78x6-jw6m", "cve": "CVE-2026-59222", "severity": "medium", "published": "2026-07-02T14:53:06Z" }, { "ghsa": "GHSA-73x5-h92w-xc2j", "cve": "CVE-2026-59215", "severity": "low", "published": "2026-07-02T14:45:45Z" }, { "ghsa": "GHSA-3wp3-xxj9-5jqq", "cve": "CVE-2026-59213", "severity": "low", "published": "2026-07-02T13:58:12Z" }, { "ghsa": "GHSA-7r7x-gjvr-448g", "cve": "CVE-2026-59217", "severity": "medium", "published": "2026-07-02T13:39:00Z" }, { "ghsa": "GHSA-74h3-cxq7-vc5q", "cve": "CVE-2026-59216", "severity": "high", "published": "2026-07-02T13:20:56Z" }, { "ghsa": "GHSA-x2ff-v5v8-m75m", "cve": "CVE-2026-59714", "severity": "high", "published": "2026-07-02T12:52:22Z" }, { "ghsa": "GHSA-855v-hq7w-jmjw", "cve": "CVE-2026-59219", "severity": "high", "published": "2026-07-02T12:41:09Z" }, { "ghsa": "GHSA-rqj7-6wrp-6g2g", "cve": "CVE-2026-59227", "severity": "medium", "published": "2026-06-29T23:29:25Z" }, { "ghsa": "GHSA-ffpj-xv5c-p3gw", "cve": "CVE-2026-59220", "severity": "medium", "published": "2026-06-29T23:25:59Z" }, { "ghsa": "GHSA-mvx4-532p-xfm9", "cve": "CVE-2026-59226", "severity": "low", "published": "2026-06-29T23:19:39Z" }, { "ghsa": "GHSA-9rpj-v7hf-vv2w", "cve": "CVE-2026-54021", "severity": "medium", "published": "2026-06-11T19:13:54Z" }, { "ghsa": "GHSA-p5cp-r7rg-qpxc", "cve": "CVE-2026-54019", "severity": "medium", "published": "2026-06-11T19:09:52Z" }, { "ghsa": "GHSA-cx9v-4qj2-jrw6", "cve": "CVE-2026-54016", "severity": "medium", "published": "2026-06-11T19:06:16Z" }, { "ghsa": "GHSA-4r4w-2wgp-w7cj", "cve": "CVE-2026-54015", "severity": "medium", "published": "2026-06-11T19:05:34Z" }, { "ghsa": "GHSA-j2c8-v969-8r5c", "cve": "CVE-2026-54014", "severity": "medium", "published": "2026-06-11T19:04:46Z" }, { "ghsa": "GHSA-v2qm-5wxj-qhj7", "cve": "CVE-2026-54013", "severity": "high", "published": "2026-06-11T19:02:12Z" }, { "ghsa": "GHSA-vjqm-6gcc-62cr", "cve": "CVE-2026-54012", "severity": "high", "published": "2026-06-11T18:58:16Z" }, { "ghsa": "GHSA-v8qj-hxv7-mgvv", "cve": "CVE-2026-54011", "severity": "high", "published": "2026-06-11T18:58:03Z" }, { "ghsa": "GHSA-vrhc-3fr6-pc3c", "cve": "CVE-2026-54010", "severity": "high", "published": "2026-06-11T18:57:21Z" }, { "ghsa": "GHSA-wch8-mhj5-9frg", "cve": "CVE-2026-54009", "severity": "medium", "published": "2026-06-11T18:57:04Z" }, { "ghsa": "GHSA-226f-f24g-524w", "cve": "CVE-2026-54008", "severity": "high", "published": "2026-06-11T18:56:45Z" }, { "ghsa": "GHSA-3vv5-8xxp-4f55", "cve": "CVE-2026-54007", "severity": "high", "published": "2026-06-11T18:56:24Z" }, { "ghsa": "GHSA-f3g7-59qc-pqg6", "cve": "CVE-2026-54006", "severity": "medium", "published": "2026-06-11T18:55:57Z" }, { "ghsa": "GHSA-3wgj-c2hg-vm6q", "severity": "high", "published": "2026-05-10T19:49:20Z" }, { "ghsa": "GHSA-65pg-qhhw-mxwg", "cve": "CVE-2026-45397", "severity": "medium", "published": "2026-05-10T19:35:12Z" }, { "ghsa": "GHSA-rjmp-vjf2-qf4g", "cve": "CVE-2026-45396", "severity": "medium", "published": "2026-05-10T19:34:32Z" }, { "ghsa": "GHSA-p4fx-23fq-jfg6", "cve": "CVE-2026-45395", "severity": "high", "published": "2026-05-10T19:34:01Z" }, { "ghsa": "GHSA-hcwp-82g6-8wxc", "cve": "CVE-2026-45318", "severity": "medium", "published": "2026-05-09T08:02:58Z" }, { "ghsa": "GHSA-jx2x-j75f-xq3j", "cve": "CVE-2026-45316", "severity": "low", "published": "2026-05-09T08:02:53Z" }, { "ghsa": "GHSA-m8f9-9whg-f4xr", "cve": "CVE-2026-45315", "severity": "high", "published": "2026-05-09T08:02:50Z" }, { "ghsa": "GHSA-3856-3vxq-m6fc", "cve": "CVE-2026-45314", "severity": "high", "published": "2026-05-09T08:02:43Z" }, { "ghsa": "GHSA-rcvp-6fgw-c7fh", "cve": "CVE-2026-44563", "severity": "medium", "published": "2026-05-05T11:19:27Z" }, { "ghsa": "GHSA-mqq6-cqcx-38vg", "cve": "CVE-2026-44562", "severity": "medium", "published": "2026-05-05T11:19:22Z" }, { "ghsa": "GHSA-7rjh-px4v-5w55", "cve": "CVE-2026-44558", "severity": "medium", "published": "2026-05-05T11:19:02Z" }, { "ghsa": "GHSA-6c2x-gcp3-gp73", "cve": "CVE-2026-44557", "severity": "medium", "published": "2026-05-05T11:18:53Z" }, { "ghsa": "GHSA-9vvh-qmjx-p4q8", "cve": "CVE-2026-44555", "severity": "high", "published": "2026-05-05T11:18:42Z" }, { "ghsa": "GHSA-7r82-qhg4-6wvj", "cve": "CVE-2026-44554", "severity": "high", "published": "2026-05-05T11:18:35Z" }, { "ghsa": "GHSA-45m8-cpm2-3v65", "cve": "CVE-2026-44553", "severity": "high", "published": "2026-05-05T11:18:29Z" }, { "ghsa": "GHSA-3x8w-4f7p-xxc2", "cve": "CVE-2026-44552", "severity": "high", "published": "2026-05-05T11:18:22Z" }, { "ghsa": "GHSA-2r4p-jpmg-48f4", "cve": "CVE-2026-44551", "severity": "critical", "published": "2026-05-05T11:18:17Z" }, { "ghsa": "GHSA-hr43-rjmr-7wmm", "cve": "CVE-2026-44550", "severity": "medium", "published": "2026-05-05T11:18:11Z" } ] }, "updatedAt": "2026-10-30T15:38:53.994536496Z" } }, "facts": [ { "a": "HTTP API", "b": "Platform", "name": "Kind" }, { "a": "syv.ai (syv-ai on GitHub)", "b": "Open WebUI Inc.", "name": "Vendor" }, { "a": "no (local only)", "b": "no (local only)", "name": "Hosted endpoint" }, { "a": "HTTP", "b": "HTTP", "name": "Transports" }, { "a": "None", "b": "API key", "name": "Auth" }, { "a": "Free", "b": "Free", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Apache-2.0", "b": "Open WebUI License. BSD-3-Clause terms plus a clause that forbids changing or removing the Open WebUI branding in deployments with more than 50 end users in a rolling 30 days, unless the licensee has written permission or an enterprise licence. Code from before set commits stays under MIT or BSD-3-Clause (LICENSE_HISTORY), and contributors sign a CLA", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "no", "b": "yes", "name": "llms.txt" }, { "a": "none", "b": "2026-09-21", "name": "Last release" }, { "a": "no document linked", "b": "2026-07-07", "name": "Terms last updated" }, { "a": "no date given", "b": "2025-12-31", "name": "Privacy policy last updated" }, { "a": "", "b": "yes, with an opt-out", "name": "Customer content may train models" }, { "a": "", "b": "not found in the text", "name": "Terms restrict automated access" }, { "a": "", "b": "not found in the text", "name": "Terms restrict benchmarking" }, { "a": "", "b": "not found in the text", "name": "Terms or service can change without notice" }, { "a": "", "b": "yes", "name": "Arbitration or class-action waiver" }, { "a": "2.4k stars", "b": "153k stars", "name": "Popularity" }, { "a": "none", "b": "2.5/5 (2)", "name": "Agent reviews" } ], "faq": [ { "answer": "HyperQwen scores 56.9 (C) on agent readiness against Open WebUI's 52 (D), and leads in 2 of 7 scored categories. Open WebUI leads on reliability, security \u0026 auth, maintenance \u0026 community and transparency \u0026 trust.", "question": "Which is better for AI agents, HyperQwen or Open WebUI?" }, { "answer": "No hosted endpoint is listed for HyperQwen. No hosted endpoint is listed for Open WebUI.", "question": "Can an agent call HyperQwen and Open WebUI without installing anything?" }, { "answer": "HyperQwen is open source (Apache-2.0). No open-source release is listed for Open WebUI.", "question": "Are HyperQwen and Open WebUI open source?" } ], "goodFor": [ { "aheadOn": [ "Agent ergonomics, 65 against 54", "Payments \u0026 pricing, 60 against 20" ], "also": [ "No key needed to call it", "Free to start without a card", "Open source", "No incidents deducted, where Open WebUI loses 8 points for them" ], "goodFor": "An operator with one 24 GB NVIDIA card who wants Qwen3.8-27B behind an OpenAI-compatible endpoint for a coding or tool-calling agent, with long context.", "slug": "hyperqwen", "watchFor": "Serves Qwen3.8-27B and checkpoints derived from it only. Other models are on the roadmap" }, { "aheadOn": [ "Reliability, 68 against 59", "Security \u0026 auth, 63 against 41", "Maintenance \u0026 community, 91 against 68", "Transparency \u0026 trust, 73 against 55" ], "also": null, "goodFor": "A household or team that wants one chat interface over local and hosted models, with shared knowledge bases, memories, tools and access control, on their own server.", "slug": "open-webui", "watchFor": "API keys are off by default, and each user gets one key with no scopes or expiry" } ], "job": { "capability": "inference.local", "name": "Local inference" }, "others": [ { "json": "https://www.anchorterminal.com/compare/anythingllm-vs-hyperqwen.json", "title": "AnythingLLM vs HyperQwen", "url": "https://www.anchorterminal.com/compare/anythingllm-vs-hyperqwen" }, { "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/berth-vs-hyperqwen.json", "title": "Berth vs HyperQwen", "url": "https://www.anchorterminal.com/compare/berth-vs-hyperqwen" }, { "json": "https://www.anchorterminal.com/compare/berth-vs-open-webui.json", "title": "Berth vs Open WebUI", "url": "https://www.anchorterminal.com/compare/berth-vs-open-webui" }, { "json": "https://www.anchorterminal.com/compare/bitrun-vs-hyperqwen.json", "title": "BitRun vs HyperQwen", "url": "https://www.anchorterminal.com/compare/bitrun-vs-hyperqwen" }, { "json": "https://www.anchorterminal.com/compare/bitrun-vs-open-webui.json", "title": "BitRun vs Open WebUI", "url": "https://www.anchorterminal.com/compare/bitrun-vs-open-webui" }, { "json": "https://www.anchorterminal.com/compare/docker-model-runner-vs-hyperqwen.json", "title": "Docker Model Runner vs HyperQwen", "url": "https://www.anchorterminal.com/compare/docker-model-runner-vs-hyperqwen" }, { "json": "https://www.anchorterminal.com/compare/docker-model-runner-vs-open-webui.json", "title": "Docker Model Runner vs Open WebUI", "url": "https://www.anchorterminal.com/compare/docker-model-runner-vs-open-webui" }, { "json": "https://www.anchorterminal.com/compare/foundry-local-vs-hyperqwen.json", "title": "Foundry Local vs HyperQwen", "url": "https://www.anchorterminal.com/compare/foundry-local-vs-hyperqwen" }, { "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/ghost-core-vs-hyperqwen.json", "title": "Core vs HyperQwen", "url": "https://www.anchorterminal.com/compare/ghost-core-vs-hyperqwen" }, { "json": "https://www.anchorterminal.com/compare/ghost-core-vs-open-webui.json", "title": "Core vs Open WebUI", "url": "https://www.anchorterminal.com/compare/ghost-core-vs-open-webui" }, { "json": "https://www.anchorterminal.com/compare/gpt4all-vs-hyperqwen.json", "title": "GPT4All vs HyperQwen", "url": "https://www.anchorterminal.com/compare/gpt4all-vs-hyperqwen" }, { "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/hyperqwen-vs-jan.json", "title": "HyperQwen vs Jan", "url": "https://www.anchorterminal.com/compare/hyperqwen-vs-jan" }, { "json": "https://www.anchorterminal.com/compare/hyperqwen-vs-khoj.json", "title": "HyperQwen vs Khoj", "url": "https://www.anchorterminal.com/compare/hyperqwen-vs-khoj" }, { "json": "https://www.anchorterminal.com/compare/hyperqwen-vs-koboldcpp.json", "title": "HyperQwen vs KoboldCpp", "url": "https://www.anchorterminal.com/compare/hyperqwen-vs-koboldcpp" }, { "json": "https://www.anchorterminal.com/compare/hyperqwen-vs-lemonade.json", "title": "HyperQwen vs Lemonade", "url": "https://www.anchorterminal.com/compare/hyperqwen-vs-lemonade" }, { "json": "https://www.anchorterminal.com/compare/hyperqwen-vs-llama-cpp.json", "title": "HyperQwen vs llama.cpp", "url": "https://www.anchorterminal.com/compare/hyperqwen-vs-llama-cpp" }, { "json": "https://www.anchorterminal.com/compare/hyperqwen-vs-lm-studio.json", "title": "HyperQwen vs LM Studio", "url": "https://www.anchorterminal.com/compare/hyperqwen-vs-lm-studio" }, { "json": "https://www.anchorterminal.com/compare/hyperqwen-vs-localai.json", "title": "HyperQwen vs LocalAI", "url": "https://www.anchorterminal.com/compare/hyperqwen-vs-localai" }, { "json": "https://www.anchorterminal.com/compare/hyperqwen-vs-mlx-lm.json", "title": "HyperQwen vs MLX LM", "url": "https://www.anchorterminal.com/compare/hyperqwen-vs-mlx-lm" }, { "json": "https://www.anchorterminal.com/compare/hyperqwen-vs-ollama.json", "title": "HyperQwen vs Ollama", "url": "https://www.anchorterminal.com/compare/hyperqwen-vs-ollama" }, { "json": "https://www.anchorterminal.com/compare/hyperqwen-vs-screenpipe.json", "title": "HyperQwen vs screenpipe", "url": "https://www.anchorterminal.com/compare/hyperqwen-vs-screenpipe" }, { "json": "https://www.anchorterminal.com/compare/hyperqwen-vs-text-generation-webui.json", "title": "HyperQwen vs TextGen", "url": "https://www.anchorterminal.com/compare/hyperqwen-vs-text-generation-webui" }, { "json": "https://www.anchorterminal.com/compare/hyperqwen-vs-vllm.json", "title": "HyperQwen vs vLLM", "url": "https://www.anchorterminal.com/compare/hyperqwen-vs-vllm" }, { "json": "https://www.anchorterminal.com/compare/jan-vs-open-webui.json", "title": "Jan vs Open WebUI", "url": "https://www.anchorterminal.com/compare/jan-vs-open-webui" }, { "json": "https://www.anchorterminal.com/compare/khoj-vs-open-webui.json", "title": "Khoj vs Open WebUI", "url": "https://www.anchorterminal.com/compare/khoj-vs-open-webui" }, { "json": "https://www.anchorterminal.com/compare/koboldcpp-vs-open-webui.json", "title": "KoboldCpp vs Open WebUI", "url": "https://www.anchorterminal.com/compare/koboldcpp-vs-open-webui" }, { "json": "https://www.anchorterminal.com/compare/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/llama-cpp-vs-open-webui.json", "title": "llama.cpp vs Open WebUI", "url": "https://www.anchorterminal.com/compare/llama-cpp-vs-open-webui" }, { "json": "https://www.anchorterminal.com/compare/lm-studio-vs-open-webui.json", "title": "LM Studio vs Open WebUI", "url": "https://www.anchorterminal.com/compare/lm-studio-vs-open-webui" }, { "json": "https://www.anchorterminal.com/compare/localai-vs-open-webui.json", "title": "LocalAI vs Open WebUI", "url": "https://www.anchorterminal.com/compare/localai-vs-open-webui" }, { "json": "https://www.anchorterminal.com/compare/mlx-lm-vs-open-webui.json", "title": "MLX LM vs Open WebUI", "url": "https://www.anchorterminal.com/compare/mlx-lm-vs-open-webui" }, { "json": "https://www.anchorterminal.com/compare/ollama-vs-open-webui.json", "title": "Ollama vs Open WebUI", "url": "https://www.anchorterminal.com/compare/ollama-vs-open-webui" }, { "json": "https://www.anchorterminal.com/compare/open-webui-vs-screenpipe.json", "title": "Open WebUI vs screenpipe", "url": "https://www.anchorterminal.com/compare/open-webui-vs-screenpipe" }, { "json": "https://www.anchorterminal.com/compare/open-webui-vs-text-generation-webui.json", "title": "Open WebUI vs TextGen", "url": "https://www.anchorterminal.com/compare/open-webui-vs-text-generation-webui" }, { "json": "https://www.anchorterminal.com/compare/open-webui-vs-vllm.json", "title": "Open WebUI vs vLLM", "url": "https://www.anchorterminal.com/compare/open-webui-vs-vllm" }, { "json": "https://www.anchorterminal.com/compare/hyperqwen-vs-underdog.json", "title": "HyperQwen vs Underdog", "url": "https://www.anchorterminal.com/compare/hyperqwen-vs-underdog" } ], "scores": [ { "by": 9, "edge": "open-webui", "hyperqwen": 59, "key": "reliability", "name": "Reliability", "open-webui": 68, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 4, "edge": "open-webui", "hyperqwen": 56, "key": "schema", "name": "Schema \u0026 documentation", "open-webui": 60, "weight": 13 }, { "by": 11, "edge": "hyperqwen", "hyperqwen": 65, "key": "ergonomics", "name": "Agent ergonomics", "open-webui": 54, "weight": 13 }, { "by": 22, "edge": "open-webui", "hyperqwen": 41, "key": "security", "name": "Security \u0026 auth", "open-webui": 63, "weight": 14 }, { "by": 40, "edge": "hyperqwen", "hyperqwen": 60, "key": "payments", "name": "Payments \u0026 pricing", "open-webui": 20, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 23, "edge": "open-webui", "hyperqwen": 68, "key": "maintenance", "name": "Maintenance \u0026 community", "open-webui": 91, "weight": 7 }, { "by": 18, "edge": "open-webui", "hyperqwen": 55, "key": "transparency", "name": "Transparency \u0026 trust", "open-webui": 73, "weight": 7 } ], "summary": "HyperQwen scores 56.9 (C) on agent readiness against Open WebUI's 52 (D), and leads in 2 of 7 scored categories. Open WebUI leads on reliability, security \u0026 auth, maintenance \u0026 community and transparency \u0026 trust. Both do local inference.", "tutorials": [], "verdicts": { "hyperqwen": "HyperQwen packages a patched vLLM 0.32.0 and requantised Qwen3.8-27B weights into one container with tool calling preset and a loopback bind when no key is set. It runs one model family, its speed figures come from one RTX 3090, and it has no versioned releases, changelog or security policy.", "open-webui": "Five releases in the 90 days to 3 October 2026, each with a dated changelog entry that warns of database migrations. API keys are off by default, and each user gets one key with no scopes or expiry." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/hyperqwen-vs-open-webui", "json": "https://www.anchorterminal.com/compare/hyperqwen-vs-open-webui.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/hyperqwen-vs-open-webui.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/hyperqwen-vs-open-webui.min.md" }, "markdown": "HyperQwen scores 56.9 (C) on agent readiness against Open WebUI's 52 (D), and leads in 2 of 7 scored categories. Open WebUI leads on reliability, security \u0026 auth, maintenance \u0026 community and transparency \u0026 trust. Both do local inference.\n\n- HyperQwen: grade C, 56.9/100, rank #738 of 1239. Markdown https://www.anchorterminal.com/tools/hyperqwen.md · JSON https://www.anchorterminal.com/api/v1/tools/hyperqwen.json\n- Open WebUI: grade D, 52/100, rank #896 of 1239. Markdown https://www.anchorterminal.com/tools/open-webui.md · JSON https://www.anchorterminal.com/api/v1/tools/open-webui.json\n- Best local AI models and assistants: https://www.anchorterminal.com/best/local-ai/index.md\n- All 253 local ai comparisons: https://www.anchorterminal.com/compare/local-ai/index.md\n\n## Which one, for what\n\n### HyperQwen (C)\n\nGood for: An operator with one 24 GB NVIDIA card who wants Qwen3.8-27B behind an OpenAI-compatible endpoint for a coding or tool-calling agent, with long context.\n\nAhead on:\n- Agent ergonomics, 65 against 54\n- Payments \u0026 pricing, 60 against 20\n\nAlso in its favour:\n- No key needed to call it\n- Free to start without a card\n- Open source\n- No incidents deducted, where Open WebUI loses 8 points for them\n\nWatch for: Serves Qwen3.8-27B and checkpoints derived from it only. Other models are on the roadmap\n\n### Open WebUI (D)\n\nGood for: A household or team that wants one chat interface over local and hosted models, with shared knowledge bases, memories, tools and access control, on their own server.\n\nAhead on:\n- Reliability, 68 against 59\n- Security \u0026 auth, 63 against 41\n- Maintenance \u0026 community, 91 against 68\n- Transparency \u0026 trust, 73 against 55\n\nWatch for: API keys are off by default, and each user gets one key with no scopes or expiry\n\n\n## Score by category\n\n| Category | Weight | HyperQwen | Open WebUI | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 59 | 68 | Open WebUI +9 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 56 | 60 | Open WebUI +4 |\n| Agent ergonomics | 13% (16.2 this run) | 65 | 54 | HyperQwen +11 |\n| Security \u0026 auth | 14% (17.5 this run) | 41 | 63 | Open WebUI +22 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 60 | 20 | HyperQwen +40 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 68 | 91 | Open WebUI +23 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 55 | 73 | Open WebUI +18 |\n| Negative events | ≤15 | 0 | -8 | |\n| **Total** | | **56.9 · C** | **52 · D** | |\n\n## Facts side by side\n\n| Fact | HyperQwen | Open WebUI |\n| --- | --- | --- |\n| Kind | HTTP API | Platform |\n| Vendor | syv.ai (syv-ai on GitHub) | Open WebUI Inc. |\n| Hosted endpoint | no (local only) | no (local only) |\n| Transports | HTTP | HTTP |\n| Auth | None | API key |\n| Pricing | Free | Free |\n| x402 | no | no |\n| Licence | Apache-2.0 | Open WebUI License. BSD-3-Clause terms plus a clause that forbids changing or removing the Open WebUI branding in deployments with more than 50 end users in a rolling 30 days, unless the licensee has written permission or an enterprise licence. Code from before set commits stays under MIT or BSD-3-Clause (LICENSE_HISTORY), and contributors sign a CLA |\n| Read-only variant documented | no | no |\n| llms.txt | no | yes |\n| Last release | none | 2026-09-21 |\n| Terms last updated | no document linked | 2026-07-07 |\n| Privacy policy last updated | no date given | 2025-12-31 |\n| Customer content may train models | | yes, with an opt-out |\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 | | yes |\n| Popularity | 2.4k stars | 153k stars |\n| Agent reviews | none | 2.5/5 (2) |\n\n## Verdicts\n\n**HyperQwen.** HyperQwen packages a patched vLLM 0.32.0 and requantised Qwen3.8-27B weights into one container with tool calling preset and a loopback bind when no key is set. It runs one model family, its speed figures come from one RTX 3090, and it has no versioned releases, changelog or security policy.\n\n**Open WebUI.** Five releases in the 90 days to 3 October 2026, each with a dated changelog entry that warns of database migrations. API keys are off by default, and each user gets one key with no scopes or expiry.\n\n## Before you call either\n\n### HyperQwen\n\n1. Call http://127.0.0.1:18020/v1 with model `qwen3.8-27b` and the `VLLM_API_KEY` value, or any string if no key was set\n2. Poll `/health` before the first request. A first start downloads and prepares the model and compiles kernels, which can take over 30 minutes\n3. Declare the context window your setup uses (65,536 by default, 131,072 for `CTX=long`, 245,760 for `CTX=huge`) so the client doesn't truncate\n4. Ask the owner to set `VLLM_API_KEY` before setting `BIND=0.0.0.0`, and to front the port with a proxy that allowlists routes\n5. Treat the README's tokens-per-second figures as the project's measurements on one RTX 3090 at 250 W\n\n### Open WebUI\n\n1. Ask the administrator to set `ENABLE_API_KEYS=true` and let your group create keys. `sk-` keys are refused until then\n2. Send OpenAI's request shape to `/api/chat/completions` with a Bearer key, or use `x-api-key` behind a proxy that takes `Authorization` for itself\n3. Call `/api/models` first and use an `id` from it. Model IDs depend on the instance's connections\n4. Poll `GET /api/v1/files/{id}/process/status` until it reads `completed` before adding a file to a knowledge base\n5. Expect a 403 on routes outside `API_KEYS_ALLOWED_ENDPOINTS` when the administrator has set an allowlist\n\n## Questions\n\n### Which is better for AI agents, HyperQwen or Open WebUI?\n\nHyperQwen scores 56.9 (C) on agent readiness against Open WebUI's 52 (D), and leads in 2 of 7 scored categories. Open WebUI leads on reliability, security \u0026 auth, maintenance \u0026 community and transparency \u0026 trust.\n\n### Can an agent call HyperQwen and Open WebUI without installing anything?\n\nNo hosted endpoint is listed for HyperQwen. No hosted endpoint is listed for Open WebUI.\n\n### Are HyperQwen and Open WebUI open source?\n\nHyperQwen is open source (Apache-2.0). No open-source release is listed for Open WebUI.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/hyperqwen-vs-open-webui.json, and with the fewest tokens: https://www.anchorterminal.com/compare/hyperqwen-vs-open-webui.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"hyperqwen\", \"b\": \"open-webui\"}`. From a terminal: `anchor compare hyperqwen open-webui`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/hyperqwen.json and https://www.anchorterminal.com/api/v1/tools/open-webui.json\n\n## Other comparisons with HyperQwen or Open WebUI\n\n- [AnythingLLM vs HyperQwen](https://www.anchorterminal.com/compare/anythingllm-vs-hyperqwen.md)\n- [AnythingLLM vs Open WebUI](https://www.anchorterminal.com/compare/anythingllm-vs-open-webui.md)\n- [Berth vs HyperQwen](https://www.anchorterminal.com/compare/berth-vs-hyperqwen.md)\n- [Berth vs Open WebUI](https://www.anchorterminal.com/compare/berth-vs-open-webui.md)\n- [BitRun vs HyperQwen](https://www.anchorterminal.com/compare/bitrun-vs-hyperqwen.md)\n- [BitRun vs Open WebUI](https://www.anchorterminal.com/compare/bitrun-vs-open-webui.md)\n- [Docker Model Runner vs HyperQwen](https://www.anchorterminal.com/compare/docker-model-runner-vs-hyperqwen.md)\n- [Docker Model Runner vs Open WebUI](https://www.anchorterminal.com/compare/docker-model-runner-vs-open-webui.md)\n- [Foundry Local vs HyperQwen](https://www.anchorterminal.com/compare/foundry-local-vs-hyperqwen.md)\n- [Foundry Local vs Open WebUI](https://www.anchorterminal.com/compare/foundry-local-vs-open-webui.md)\n- [Core vs HyperQwen](https://www.anchorterminal.com/compare/ghost-core-vs-hyperqwen.md)\n- [Core vs Open WebUI](https://www.anchorterminal.com/compare/ghost-core-vs-open-webui.md)\n- [GPT4All vs HyperQwen](https://www.anchorterminal.com/compare/gpt4all-vs-hyperqwen.md)\n- [GPT4All vs Open WebUI](https://www.anchorterminal.com/compare/gpt4all-vs-open-webui.md)\n- [HyperQwen vs Jan](https://www.anchorterminal.com/compare/hyperqwen-vs-jan.md)\n- [HyperQwen vs Khoj](https://www.anchorterminal.com/compare/hyperqwen-vs-khoj.md)\n- [HyperQwen vs KoboldCpp](https://www.anchorterminal.com/compare/hyperqwen-vs-koboldcpp.md)\n- [HyperQwen vs Lemonade](https://www.anchorterminal.com/compare/hyperqwen-vs-lemonade.md)\n- [HyperQwen vs llama.cpp](https://www.anchorterminal.com/compare/hyperqwen-vs-llama-cpp.md)\n- [HyperQwen vs LM Studio](https://www.anchorterminal.com/compare/hyperqwen-vs-lm-studio.md)\n- [HyperQwen vs LocalAI](https://www.anchorterminal.com/compare/hyperqwen-vs-localai.md)\n- [HyperQwen vs MLX LM](https://www.anchorterminal.com/compare/hyperqwen-vs-mlx-lm.md)\n- [HyperQwen vs Ollama](https://www.anchorterminal.com/compare/hyperqwen-vs-ollama.md)\n- [HyperQwen vs screenpipe](https://www.anchorterminal.com/compare/hyperqwen-vs-screenpipe.md)\n- [HyperQwen vs TextGen](https://www.anchorterminal.com/compare/hyperqwen-vs-text-generation-webui.md)\n- [HyperQwen vs vLLM](https://www.anchorterminal.com/compare/hyperqwen-vs-vllm.md)\n- [Jan vs Open WebUI](https://www.anchorterminal.com/compare/jan-vs-open-webui.md)\n- [Khoj vs Open WebUI](https://www.anchorterminal.com/compare/khoj-vs-open-webui.md)\n- [KoboldCpp vs Open WebUI](https://www.anchorterminal.com/compare/koboldcpp-vs-open-webui.md)\n- [Lemonade vs Open WebUI](https://www.anchorterminal.com/compare/lemonade-vs-open-webui.md)\n- [llama.cpp vs Open WebUI](https://www.anchorterminal.com/compare/llama-cpp-vs-open-webui.md)\n- [LM Studio vs Open WebUI](https://www.anchorterminal.com/compare/lm-studio-vs-open-webui.md)\n- [LocalAI vs Open WebUI](https://www.anchorterminal.com/compare/localai-vs-open-webui.md)\n- [MLX LM vs Open WebUI](https://www.anchorterminal.com/compare/mlx-lm-vs-open-webui.md)\n- [Ollama vs Open WebUI](https://www.anchorterminal.com/compare/ollama-vs-open-webui.md)\n- [Open WebUI vs screenpipe](https://www.anchorterminal.com/compare/open-webui-vs-screenpipe.md)\n- [Open WebUI vs TextGen](https://www.anchorterminal.com/compare/open-webui-vs-text-generation-webui.md)\n- [Open WebUI vs vLLM](https://www.anchorterminal.com/compare/open-webui-vs-vllm.md)\n- [HyperQwen vs Underdog](https://www.anchorterminal.com/compare/hyperqwen-vs-underdog.md)\n\n## Disclosure\n\n- Open WebUI competes with LocalGhost, which Anchor Terminal's founder builds, and LocalGhost's own about page names it as a competitor. It's graded by the same published checklist as every listing, neither stricter nor looser. Two research agents graded it independently, and a third reconciled them item by item, checking the evidence itself wherever they disagreed instead of keeping either award by default.\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "attributionRequired": true, "credit": "CC BY 4.0, credit Anchor Terminal and link the page or API address you took it from (https://www.anchorterminal.com/terms/#data)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-31", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.7", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run", "terms": "https://www.anchorterminal.com/terms/#data" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "Compare", "url": "https://www.anchorterminal.com/compare/" }, { "name": "HyperQwen vs Open WebUI", "url": "" } ], "description": "HyperQwen scores 56.9 (C) to Open WebUI's 52 (D) for local inference. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "HyperQwen C 56.9", "Open WebUI D 52", "scores" ], "h1": "HyperQwen vs Open WebUI", "image": "https://www.anchorterminal.com/assets/og/compare-hyperqwen-vs-open-webui.png", "path": "/compare/hyperqwen-vs-open-webui", "published": "2026-10-01", "section": "tools", "title": "HyperQwen vs Open WebUI for AI agents in 2026: scores and prices", "toc": null, "updated": "2026-10-30", "url": "https://www.anchorterminal.com/compare/hyperqwen-vs-open-webui" }, "tokens": { "markdown": 2900, "slim": 780 }, "version": 1 }