{ "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 Khoj's 38.8 (E), and leads in 4 of 7 scored categories. Khoj leads on reliability and transparency \u0026 trust.", "b": { "slug": "khoj", "name": "Khoj", "vendor": "Khoj Inc.", "vendorUrl": "https://khoj.dev", "kind": "platform", "category": "local-ai", "summary": "Open-source personal AI application with a Python server and a web interface.", "url": "https://www.anchorterminal.com/tools/khoj", "markdownUrl": "https://www.anchorterminal.com/tools/khoj.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/khoj.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/khoj.json", "repo": "https://github.com/khoj-ai/khoj", "license": "AGPL-3.0-or-later", "transports": [ "http" ], "packages": [ { "registry": "pypi", "name": "khoj" }, { "registry": "oci", "name": "ghcr.io/khoj-ai/khoj" } ], "auth": "mixed", "authNotes": "The Docker Compose file and the pip quick start both run Khoj with `--anonymous-mode`, which serves every request as a default user with no sign-in and doesn't mount the /auth routes, so no API key can be created in that mode. The Compose file starts the server on 0.0.0.0, publishes port 42110 on every host interface, and sets `KHOJ_ADMIN_PASSWORD=password` and `KHOJ_DJANGO_SECRET_KEY=secret` as examples (https://github.com/khoj-ai/khoj/blob/master/docker-compose.yml). Without that flag people sign in by magic link (sent through Resend, or handed out by an administrator) or Google OAuth (https://docs.khoj.dev/advanced/authentication). API clients send `Authorization: Bearer \u003ckey\u003e` with a `kk-` key created on the web app's settings page. Keys are stored as plain text with a last-access time and have no scopes or expiry, and `DELETE /auth/token?token=\u003ckey\u003e` revokes one (https://github.com/khoj-ai/khoj/blob/master/src/khoj/configure.py; https://github.com/khoj-ai/khoj/blob/master/src/khoj/routers/auth.py). Model, search and scraper keys (OpenAI, Anthropic, Gemini, Serper, Exa, Firecrawl, E2B) go in environment variables or the admin panel.", "pricing": "free", "pricingNotes": "Free and AGPL-3.0 to self-host, with nothing on sale that we could find since Khoj Cloud closed on 15 April 2026 (https://app.khoj.dev). The README still links Khoj Enterprise at khoj.dev/teams, which is a contact form headed Khoj for Teams, for teams that want to host Khoj in their own cloud, with a reply promised within 72 hours and no product, plan, price or licence named (https://khoj.dev/teams). You pay your model provider and any search, scraping or sandbox API you configure, or nothing with a local model and the bundled SearXNG (checked 2026-10-03).", "priceSummary": "Free · OSS", "where": "local", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the docs or the source (checked 2026-10-03).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 37500, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-03" }, "docsUrl": "https://docs.khoj.dev", "capabilities": [ "memory.search", "memory.user", "inference.local", "agent.mcp-client" ], "tags": [ "open-source", "self-hosted", "local", "free", "python", "docker", "beta", "telemetry-default-on" ], "lastRelease": "2026-03-26", "graded": true, "disclosure": "Khoj 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": 38.8, "grade": "E", "agentReady": false, "rank": 1127, "ranked": true, "rankOf": 1239, "categoryRank": 19, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 46, "maintenance": 19, "payments": 60, "reliability": 65, "schema": 34, "security": 29, "transparency": 63 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-03" }, "negative": -7, "negativeNotes": [ "2026-07-13. Default-on telemetry sent the caller's IP (`client_host`) to khoj.beta.haletic.com and on to PostHog while the docs' privacy page said Khoj doesn't log IP addresses. Reported in #1374 and removed on master on 2 August 2026, but 1.42.10 and 2.0.0-beta.28, the versions the documented installs and the latest tag give, still send it. Request metadata rather than content, so the minimum, -2. https://github.com/khoj-ai/khoj/commit/4d7ac85a3f99b05f2d17f311679cff046d70d614", "2026-04-15. Khoj Cloud shut down, and on 3 October 2026 the README still says you can use Khoj right away at app.khoj.dev with no setup, the docs site still links to app.khoj.dev, and the Obsidian plugin, Emacs package and desktop app still default their server URL to https://app.khoj.dev. An endpoint removed while still advertised. The shutdown had three weeks' notice in the app, so the minimum, -3. https://github.com/khoj-ai/khoj/blob/master/README.md; https://github.com/khoj-ai/khoj/blob/master/src/interface/obsidian/src/settings.ts", "2026-02-01. CVE-2025-69207 (GHSA-6whj-7qmg-86qj, 5.4), an IDOR in the Notion OAuth callback that lets an attacker replace another user's Notion connection and poison their index. The check was hardened on 28 December 2025 and ships in 2.0.0-beta.23 and later, but the advisory lists no patched version, and 1.42.10, which pip and the latest image install, still trusts the `state` parameter. It needs a Notion OAuth app and more than one user, -1. https://github.com/khoj-ai/khoj/security/advisories/GHSA-6whj-7qmg-86qj", "2026-06-24. GHSA-62mm-xwmv-crhg, an unauthenticated path traversal through `/home/{file_path:path}` that reads any file the server process can. The route arrived in 2.0.0-beta.23 (29 December 2025) and was guarded in 2.0.0-beta.25 (22 February 2026), so two pre-releases were exposed and 1.42.10 never had the route. Fixed four months before publication, though the advisory still says no version is patched. Fixed and decayed, -1. https://github.com/khoj-ai/khoj/security/advisories/GHSA-62mm-xwmv-crhg; https://github.com/khoj-ai/khoj/commit/21c51b9a" ], "verdict": "AGPL-3.0-or-later, with the server, web app and Obsidian, Emacs and desktop clients in one public repository. No tagged release since 2.0.0-beta.28 on 26 March 2026 and no commit since 2 August.", "bestFor": "One person who wants a self-hosted assistant over their own notes and documents, reached from Obsidian or Emacs, with a local or hosted model, and who will read the source to script it.", "disclosure": "Khoj 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": [ "AGPL-3.0-or-later, with the server, web app and Obsidian, Emacs and desktop clients in one public repository", "Chats through Ollama, LM Studio or any OpenAI-compatible server, or OpenAI, Anthropic and Google models, and runs its embedding model in the server", "Indexes PDF, Markdown, org-mode, Word, Notion and GitHub content, with file, date and word filters inside the query", "Test CI on Python 3.10 to 3.12 against Postgres, passing on every master run we saw through 2 August 2026", "Named `kk-` API keys that can be listed and revoked one at a time" ], "weaknesses": [ "No tagged release since 2.0.0-beta.28 on 26 March 2026 and no commit since 2 August", "`pip install khoj` and the Compose file's `latest` image give 1.42.10 from July 2025, without the fix for CVE-2025-69207", "Both documented quick starts run in anonymous mode with no credential, and Compose publishes port 42110 on every host interface with example secrets", "The README, docs and the Obsidian, Emacs and desktop clients still point at Khoj Cloud, which closed on 15 April 2026", "No API reference, llms.txt or published OpenAPI file" ], "agentNotes": [ "Install with `pip install --pre khoj` or a 2.0.0-beta image tag. Plain `pip install khoj` and `latest` give 1.42.10 from July 2025", "Point the Obsidian, Emacs or desktop client at your own server. They default to app.khoj.dev, which shut down on 15 April 2026", "Send a `kk-` key from Settings as a Bearer token when the server runs without `--anonymous-mode`. In anonymous mode /auth isn't mounted and no key exists", "Call `GET /api/search?q=...\u0026n=5` for passages and put `file:\"notes.md\"` or `dt\u003e=\"2026-01-01\"` inside `q` to filter. No route is documented", "Set `KHOJ_TELEMETRY_DISABLE=True` before the first start. Tagged releases send the caller's IP with telemetry" ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 2, "avgRating": 1, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "E", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 38.8 } ], "editorialScores": { "ergonomics": 46, "maintenance": 19, "payments": 60, "reliability": 65, "schema": 34, "security": 29, "transparency": 60 }, "provenanceScore": 66, "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": "python -m pip install 'khoj[local]' # then: USE_EMBEDDED_DB=\"true\" khoj --anonymous-mode # or: wget https://raw.githubusercontent.com/khoj-ai/khoj/master/docker-compose.yml \u0026\u0026 docker-compose up" }, "letme": { "capability": "https://letme.dev/memory.search", "tool": "https://letme.dev/khoj" }, "area": "models", "provenance": { "legalEntity": "Khoj Inc.", "domain": "khoj.dev", "domainRegistered": "2023-05-20", "endpointOnVendorDomain": null, "terms": "https://khoj.dev/terms-of-service.html", "privacy": "https://khoj.dev/privacy-policy.html", "statusPage": "", "changelog": "https://github.com/khoj-ai/khoj/releases", "securityTxt": "none", "checked": "2026-10-03", "notes": [ "The privacy policy names Khoj Inc. as the operator of khoj.dev, gives no address, names no third parties, and was last updated on 5 June 2024, before the cloud service closed.", "khoj.dev/.well-known/security.txt returns 404 per the listing's check. The repository has no SECURITY.md and GitHub says the project has not set one up. Private vulnerability reporting is on, with six advisories published.", "RDAP for khoj.dev gives a registration date of 2023-05-20, registrar Cloudflare.", "There's no hosted endpoint since Khoj Cloud closed on 15 April 2026. A self-hosted server answers on its owner's own host." ], "score": 66 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/khoj.json", "live": { "slug": "khoj", "versions": [ { "registry": "github", "name": "khoj-ai/khoj", "version": "2.0.0-beta.28", "released": "2026-03-26", "seenAt": "2026-10-30T14:21:52.450062252Z" }, { "registry": "pypi", "name": "khoj", "version": "1.42.10", "released": "2025-07-15", "seenAt": "2026-10-30T14:21:52.255010885Z" } ], "githubStars": 37904, "pypiWeekly": 856, "securityTxt": { "url": "https://khoj.dev/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-30T15:39:07.797057293Z" }, "domain": { "domain": "khoj.dev", "registered": "2023-05-20", "source": "https://pubapi.registry.google/rdap/domain/khoj.dev", "checkedAt": "2026-10-25T13:56:23.160300144Z" }, "pages": [ { "url": "https://app.khoj.dev", "kind": "deprecations", "status": 304, "checkedAt": "2026-10-30T05:31:37.048052232Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "2f8671121ba5" }, { "url": "https://khoj.dev/privacy-policy.html", "kind": "privacy", "status": 304, "checkedAt": "2026-10-30T05:41:57.629953062Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "c03103b79f52" }, { "url": "https://khoj.dev/terms-of-service.html", "kind": "terms", "status": 304, "checkedAt": "2026-10-30T05:41:59.748456525Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "e08893bf1c28" } ], "github": { "repo": "khoj-ai/khoj", "checkedAt": "2026-10-26T07:37:40.291419666Z", "stars": 37831, "archived": false, "issuesEnabled": true, "pushedAt": "2026-08-02T01:55:40Z", "openIssues": 109, "openPRs": 64, "issuesOpened90d": 16, "issuesClosed90d": 7, "prsMerged90d": 2, "ci": { "branch": "master", "runs": 50, "success": 33, "failure": 10, "other": 7, "latest": "failure", "latestAt": "2026-08-02T02:03:39Z" }, "advisories": [ { "ghsa": "GHSA-62mm-xwmv-crhg", "severity": "low", "published": "2026-06-24T16:03:09Z" }, { "ghsa": "GHSA-6whj-7qmg-86qj", "cve": "CVE-2025-69207", "severity": "medium", "published": "2026-02-01T20:24:31Z" }, { "ghsa": "GHSA-hq4h-w933-jm6c", "cve": "CVE-2024-52294", "severity": "medium", "published": "2024-12-29T18:19:58Z" }, { "ghsa": "GHSA-cf72-vg59-4j4h", "cve": "CVE-2024-43396", "severity": "medium", "published": "2024-08-20T19:40:46Z" }, { "ghsa": "GHSA-h2q2-vch3-72qm", "cve": "CVE-2024-25639", "severity": "medium", "published": "2024-07-08T06:37:41Z" }, { "ghsa": "GHSA-564j-v29w-rqr6", "severity": "low", "published": "2024-07-08T06:28:56Z" } ], "replies": { "sampled": 25, "unanswered": 20, "medianDays": 8.8 } }, "updatedAt": "2026-10-30T15:39:07.797057293Z" } }, "facts": [ { "a": "HTTP API", "b": "Platform", "name": "Kind" }, { "a": "syv.ai (syv-ai on GitHub)", "b": "Khoj Inc.", "name": "Vendor" }, { "a": "no (local only)", "b": "no (local only)", "name": "Hosted endpoint" }, { "a": "HTTP", "b": "HTTP", "name": "Transports" }, { "a": "None", "b": "OAuth or key", "name": "Auth" }, { "a": "Free", "b": "Free", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Apache-2.0", "b": "AGPL-3.0-or-later", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "no", "b": "no", "name": "llms.txt" }, { "a": "none", "b": "2026-03-26", "name": "Last release" }, { "a": "no document linked", "b": "2024-06-05", "name": "Terms last updated" }, { "a": "no date given", "b": "no date given", "name": "Privacy policy last updated" }, { "a": "", "b": "not found in the text", "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": "not found in the text", "name": "Arbitration or class-action waiver" }, { "a": "2.4k stars", "b": "38k stars", "name": "Popularity" }, { "a": "none", "b": "1/5 (2)", "name": "Agent reviews" } ], "faq": [ { "answer": "HyperQwen scores 56.9 (C) on agent readiness against Khoj's 38.8 (E), and leads in 4 of 7 scored categories. Khoj leads on reliability and transparency \u0026 trust.", "question": "Which is better for AI agents, HyperQwen or Khoj?" }, { "answer": "No hosted endpoint is listed for HyperQwen. No hosted endpoint is listed for Khoj.", "question": "Can an agent call HyperQwen and Khoj without installing anything?" }, { "answer": "Yes. HyperQwen is open source (Apache-2.0). Khoj is open source (AGPL-3.0-or-later).", "question": "Are HyperQwen and Khoj open source?" } ], "goodFor": [ { "aheadOn": [ "Schema \u0026 documentation, 56 against 34", "Agent ergonomics, 65 against 46", "Security \u0026 auth, 41 against 29", "Maintenance \u0026 community, 68 against 19" ], "also": [ "No key needed to call it", "Free to start without a card", "No incidents deducted, where Khoj loses 7 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, 65 against 59", "Transparency \u0026 trust, 63 against 55" ], "also": null, "goodFor": "One person who wants a self-hosted assistant over their own notes and documents, reached from Obsidian or Emacs, with a local or hosted model, and who will read the source to script it.", "slug": "khoj", "watchFor": "No tagged release since 2.0.0-beta.28 on 26 March 2026 and no commit since 2 August" } ], "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-khoj.json", "title": "AnythingLLM vs Khoj", "url": "https://www.anchorterminal.com/compare/anythingllm-vs-khoj" }, { "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-khoj.json", "title": "Berth vs Khoj", "url": "https://www.anchorterminal.com/compare/berth-vs-khoj" }, { "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-khoj.json", "title": "BitRun vs Khoj", "url": "https://www.anchorterminal.com/compare/bitrun-vs-khoj" }, { "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-khoj.json", "title": "Docker Model Runner vs Khoj", "url": "https://www.anchorterminal.com/compare/docker-model-runner-vs-khoj" }, { "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-khoj.json", "title": "Foundry Local vs Khoj", "url": "https://www.anchorterminal.com/compare/foundry-local-vs-khoj" }, { "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-khoj.json", "title": "Core vs Khoj", "url": "https://www.anchorterminal.com/compare/ghost-core-vs-khoj" }, { "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-khoj.json", "title": "GPT4All vs Khoj", "url": "https://www.anchorterminal.com/compare/gpt4all-vs-khoj" }, { "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-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-open-webui.json", "title": "HyperQwen vs Open WebUI", "url": "https://www.anchorterminal.com/compare/hyperqwen-vs-open-webui" }, { "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-khoj.json", "title": "Jan vs Khoj", "url": "https://www.anchorterminal.com/compare/jan-vs-khoj" }, { "json": "https://www.anchorterminal.com/compare/khoj-vs-koboldcpp.json", "title": "Khoj vs KoboldCpp", "url": "https://www.anchorterminal.com/compare/khoj-vs-koboldcpp" }, { "json": "https://www.anchorterminal.com/compare/khoj-vs-lemonade.json", "title": "Khoj vs Lemonade", "url": "https://www.anchorterminal.com/compare/khoj-vs-lemonade" }, { "json": "https://www.anchorterminal.com/compare/khoj-vs-llama-cpp.json", "title": "Khoj vs llama.cpp", "url": "https://www.anchorterminal.com/compare/khoj-vs-llama-cpp" }, { "json": "https://www.anchorterminal.com/compare/khoj-vs-lm-studio.json", "title": "Khoj vs LM Studio", "url": "https://www.anchorterminal.com/compare/khoj-vs-lm-studio" }, { "json": "https://www.anchorterminal.com/compare/khoj-vs-localai.json", "title": "Khoj vs LocalAI", "url": "https://www.anchorterminal.com/compare/khoj-vs-localai" }, { "json": "https://www.anchorterminal.com/compare/khoj-vs-mlx-lm.json", "title": "Khoj vs MLX LM", "url": "https://www.anchorterminal.com/compare/khoj-vs-mlx-lm" }, { "json": "https://www.anchorterminal.com/compare/khoj-vs-ollama.json", "title": "Khoj vs Ollama", "url": "https://www.anchorterminal.com/compare/khoj-vs-ollama" }, { "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/khoj-vs-text-generation-webui.json", "title": "Khoj vs TextGen", "url": "https://www.anchorterminal.com/compare/khoj-vs-text-generation-webui" }, { "json": "https://www.anchorterminal.com/compare/khoj-vs-vllm.json", "title": "Khoj vs vLLM", "url": "https://www.anchorterminal.com/compare/khoj-vs-vllm" }, { "json": "https://www.anchorterminal.com/compare/ai-memory-vs-khoj.json", "title": "AI Memory vs Khoj", "url": "https://www.anchorterminal.com/compare/ai-memory-vs-khoj" }, { "json": "https://www.anchorterminal.com/compare/context-mode-vs-khoj.json", "title": "Context Mode Engine vs Khoj", "url": "https://www.anchorterminal.com/compare/context-mode-vs-khoj" }, { "json": "https://www.anchorterminal.com/compare/graphicle-vs-khoj.json", "title": "Graphicle vs Khoj", "url": "https://www.anchorterminal.com/compare/graphicle-vs-khoj" }, { "json": "https://www.anchorterminal.com/compare/khoj-vs-localghost.json", "title": "Khoj vs LocalGhost", "url": "https://www.anchorterminal.com/compare/khoj-vs-localghost" }, { "json": "https://www.anchorterminal.com/compare/khoj-vs-screenpipe.json", "title": "Khoj vs screenpipe", "url": "https://www.anchorterminal.com/compare/khoj-vs-screenpipe" }, { "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": 6, "edge": "khoj", "hyperqwen": 59, "key": "reliability", "khoj": 65, "name": "Reliability", "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 22, "edge": "hyperqwen", "hyperqwen": 56, "key": "schema", "khoj": 34, "name": "Schema \u0026 documentation", "weight": 13 }, { "by": 19, "edge": "hyperqwen", "hyperqwen": 65, "key": "ergonomics", "khoj": 46, "name": "Agent ergonomics", "weight": 13 }, { "by": 12, "edge": "hyperqwen", "hyperqwen": 41, "key": "security", "khoj": 29, "name": "Security \u0026 auth", "weight": 14 }, { "by": 0, "edge": "", "hyperqwen": 60, "key": "payments", "khoj": 60, "name": "Payments \u0026 pricing", "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 49, "edge": "hyperqwen", "hyperqwen": 68, "key": "maintenance", "khoj": 19, "name": "Maintenance \u0026 community", "weight": 7 }, { "by": 8, "edge": "khoj", "hyperqwen": 55, "key": "transparency", "khoj": 63, "name": "Transparency \u0026 trust", "weight": 7 } ], "summary": "HyperQwen scores 56.9 (C) on agent readiness against Khoj's 38.8 (E), and leads in 4 of 7 scored categories. Khoj leads on reliability 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.", "khoj": "AGPL-3.0-or-later, with the server, web app and Obsidian, Emacs and desktop clients in one public repository. No tagged release since 2.0.0-beta.28 on 26 March 2026 and no commit since 2 August." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/hyperqwen-vs-khoj", "json": "https://www.anchorterminal.com/compare/hyperqwen-vs-khoj.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/hyperqwen-vs-khoj.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/hyperqwen-vs-khoj.min.md" }, "markdown": "HyperQwen scores 56.9 (C) on agent readiness against Khoj's 38.8 (E), and leads in 4 of 7 scored categories. Khoj leads on reliability 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- Khoj: grade E, 38.8/100, rank #1127 of 1239. Markdown https://www.anchorterminal.com/tools/khoj.md · JSON https://www.anchorterminal.com/api/v1/tools/khoj.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- Schema \u0026 documentation, 56 against 34\n- Agent ergonomics, 65 against 46\n- Security \u0026 auth, 41 against 29\n- Maintenance \u0026 community, 68 against 19\n\nAlso in its favour:\n- No key needed to call it\n- Free to start without a card\n- No incidents deducted, where Khoj loses 7 points for them\n\nWatch for: Serves Qwen3.8-27B and checkpoints derived from it only. Other models are on the roadmap\n\n### Khoj (E)\n\nGood for: One person who wants a self-hosted assistant over their own notes and documents, reached from Obsidian or Emacs, with a local or hosted model, and who will read the source to script it.\n\nAhead on:\n- Reliability, 65 against 59\n- Transparency \u0026 trust, 63 against 55\n\nWatch for: No tagged release since 2.0.0-beta.28 on 26 March 2026 and no commit since 2 August\n\n\n## Score by category\n\n| Category | Weight | HyperQwen | Khoj | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 59 | 65 | Khoj +6 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 56 | 34 | HyperQwen +22 |\n| Agent ergonomics | 13% (16.2 this run) | 65 | 46 | HyperQwen +19 |\n| Security \u0026 auth | 14% (17.5 this run) | 41 | 29 | HyperQwen +12 |\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) | 68 | 19 | HyperQwen +49 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 55 | 63 | Khoj +8 |\n| Negative events | ≤15 | 0 | -7 | |\n| **Total** | | **56.9 · C** | **38.8 · E** | |\n\n## Facts side by side\n\n| Fact | HyperQwen | Khoj |\n| --- | --- | --- |\n| Kind | HTTP API | Platform |\n| Vendor | syv.ai (syv-ai on GitHub) | Khoj Inc. |\n| Hosted endpoint | no (local only) | no (local only) |\n| Transports | HTTP | HTTP |\n| Auth | None | OAuth or key |\n| Pricing | Free | Free |\n| x402 | no | no |\n| Licence | Apache-2.0 | AGPL-3.0-or-later |\n| Read-only variant documented | no | no |\n| llms.txt | no | no |\n| Last release | none | 2026-03-26 |\n| Terms last updated | no document linked | 2024-06-05 |\n| Privacy policy last updated | no date given | no date given |\n| Customer content may train models | | not found in the text |\n| Terms restrict automated access | | not found in the text |\n| Terms restrict benchmarking | | not found in the text |\n| Terms or service can change without notice | | not found in the text |\n| Arbitration or class-action waiver | | not found in the text |\n| Popularity | 2.4k stars | 38k stars |\n| Agent reviews | none | 1/5 (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**Khoj.** AGPL-3.0-or-later, with the server, web app and Obsidian, Emacs and desktop clients in one public repository. No tagged release since 2.0.0-beta.28 on 26 March 2026 and no commit since 2 August.\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### Khoj\n\n1. Install with `pip install --pre khoj` or a 2.0.0-beta image tag. Plain `pip install khoj` and `latest` give 1.42.10 from July 2025\n2. Point the Obsidian, Emacs or desktop client at your own server. They default to app.khoj.dev, which shut down on 15 April 2026\n3. Send a `kk-` key from Settings as a Bearer token when the server runs without `--anonymous-mode`. In anonymous mode /auth isn't mounted and no key exists\n4. Call `GET /api/search?q=...\u0026n=5` for passages and put `file:\"notes.md\"` or `dt\u003e=\"2026-01-01\"` inside `q` to filter. No route is documented\n5. Set `KHOJ_TELEMETRY_DISABLE=True` before the first start. Tagged releases send the caller's IP with telemetry\n\n## Questions\n\n### Which is better for AI agents, HyperQwen or Khoj?\n\nHyperQwen scores 56.9 (C) on agent readiness against Khoj's 38.8 (E), and leads in 4 of 7 scored categories. Khoj leads on reliability and transparency \u0026 trust.\n\n### Can an agent call HyperQwen and Khoj without installing anything?\n\nNo hosted endpoint is listed for HyperQwen. No hosted endpoint is listed for Khoj.\n\n### Are HyperQwen and Khoj open source?\n\nYes. HyperQwen is open source (Apache-2.0). Khoj is open source (AGPL-3.0-or-later).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/hyperqwen-vs-khoj.json, and with the fewest tokens: https://www.anchorterminal.com/compare/hyperqwen-vs-khoj.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"hyperqwen\", \"b\": \"khoj\"}`. From a terminal: `anchor compare hyperqwen khoj`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/hyperqwen.json and https://www.anchorterminal.com/api/v1/tools/khoj.json\n\n## Other comparisons with HyperQwen or Khoj\n\n- [AnythingLLM vs HyperQwen](https://www.anchorterminal.com/compare/anythingllm-vs-hyperqwen.md)\n- [AnythingLLM vs Khoj](https://www.anchorterminal.com/compare/anythingllm-vs-khoj.md)\n- [Berth vs HyperQwen](https://www.anchorterminal.com/compare/berth-vs-hyperqwen.md)\n- [Berth vs Khoj](https://www.anchorterminal.com/compare/berth-vs-khoj.md)\n- [BitRun vs HyperQwen](https://www.anchorterminal.com/compare/bitrun-vs-hyperqwen.md)\n- [BitRun vs Khoj](https://www.anchorterminal.com/compare/bitrun-vs-khoj.md)\n- [Docker Model Runner vs HyperQwen](https://www.anchorterminal.com/compare/docker-model-runner-vs-hyperqwen.md)\n- [Docker Model Runner vs Khoj](https://www.anchorterminal.com/compare/docker-model-runner-vs-khoj.md)\n- [Foundry Local vs HyperQwen](https://www.anchorterminal.com/compare/foundry-local-vs-hyperqwen.md)\n- [Foundry Local vs Khoj](https://www.anchorterminal.com/compare/foundry-local-vs-khoj.md)\n- [Core vs HyperQwen](https://www.anchorterminal.com/compare/ghost-core-vs-hyperqwen.md)\n- [Core vs Khoj](https://www.anchorterminal.com/compare/ghost-core-vs-khoj.md)\n- [GPT4All vs HyperQwen](https://www.anchorterminal.com/compare/gpt4all-vs-hyperqwen.md)\n- [GPT4All vs Khoj](https://www.anchorterminal.com/compare/gpt4all-vs-khoj.md)\n- [HyperQwen vs Jan](https://www.anchorterminal.com/compare/hyperqwen-vs-jan.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 Open WebUI](https://www.anchorterminal.com/compare/hyperqwen-vs-open-webui.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 Khoj](https://www.anchorterminal.com/compare/jan-vs-khoj.md)\n- [Khoj vs KoboldCpp](https://www.anchorterminal.com/compare/khoj-vs-koboldcpp.md)\n- [Khoj vs Lemonade](https://www.anchorterminal.com/compare/khoj-vs-lemonade.md)\n- [Khoj vs llama.cpp](https://www.anchorterminal.com/compare/khoj-vs-llama-cpp.md)\n- [Khoj vs LM Studio](https://www.anchorterminal.com/compare/khoj-vs-lm-studio.md)\n- [Khoj vs LocalAI](https://www.anchorterminal.com/compare/khoj-vs-localai.md)\n- [Khoj vs MLX LM](https://www.anchorterminal.com/compare/khoj-vs-mlx-lm.md)\n- [Khoj vs Ollama](https://www.anchorterminal.com/compare/khoj-vs-ollama.md)\n- [Khoj vs Open WebUI](https://www.anchorterminal.com/compare/khoj-vs-open-webui.md)\n- [Khoj vs TextGen](https://www.anchorterminal.com/compare/khoj-vs-text-generation-webui.md)\n- [Khoj vs vLLM](https://www.anchorterminal.com/compare/khoj-vs-vllm.md)\n- [AI Memory vs Khoj](https://www.anchorterminal.com/compare/ai-memory-vs-khoj.md)\n- [Context Mode Engine vs Khoj](https://www.anchorterminal.com/compare/context-mode-vs-khoj.md)\n- [Graphicle vs Khoj](https://www.anchorterminal.com/compare/graphicle-vs-khoj.md)\n- [Khoj vs LocalGhost](https://www.anchorterminal.com/compare/khoj-vs-localghost.md)\n- [Khoj vs screenpipe](https://www.anchorterminal.com/compare/khoj-vs-screenpipe.md)\n- [HyperQwen vs Underdog](https://www.anchorterminal.com/compare/hyperqwen-vs-underdog.md)\n\n## Disclosure\n\n- Khoj 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 Khoj", "url": "" } ], "description": "HyperQwen scores 56.9 (C) to Khoj's 38.8 (E) for local inference. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "HyperQwen C 56.9", "Khoj E 38.8", "scores" ], "h1": "HyperQwen vs Khoj", "image": "https://www.anchorterminal.com/assets/og/compare-hyperqwen-vs-khoj.png", "path": "/compare/hyperqwen-vs-khoj", "published": "2026-10-01", "section": "tools", "title": "HyperQwen vs Khoj for AI agents in 2026: scores and prices", "toc": null, "updated": "2026-10-30", "url": "https://www.anchorterminal.com/compare/hyperqwen-vs-khoj" }, "tokens": { "markdown": 2850, "slim": 680 }, "version": 1 }