{ "data": { "a": { "slug": "anythingllm", "name": "AnythingLLM", "vendor": "Mintplex Labs", "vendorUrl": "https://anythingllm.com", "kind": "platform", "category": "local-ai", "summary": "Open-source app for chatting with documents using local or hosted models. Available as a desktop app or a self-hosted server.", "url": "https://www.anchorterminal.com/tools/anythingllm", "markdownUrl": "https://www.anchorterminal.com/tools/anythingllm.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/anythingllm.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/anythingllm.json", "repo": "https://github.com/Mintplex-Labs/anything-llm", "license": "MIT (server, document collector, frontend and Docker image). The desktop app ships under Mintplex Labs' own terms of use, which call its source code a trade secret and forbid reverse engineering", "transports": [ "http" ], "packages": [ { "registry": "oci", "name": "mintplexlabs/anythingllm" }, { "registry": "oci", "name": "ghcr.io/mintplex-labs/anything-llm" } ], "auth": "api-key", "authNotes": "The developer API under /api/v1 takes a key in `Authorization: Bearer`. An admin creates keys in the UI. SECURITY.md says each key has full, unrestricted access to the whole /v1 surface, equivalent to admin, and the database stores keys in plain text with no scopes or expiry. A key is revoked by deleting it. The instance itself runs with no password, one password or multi-user accounts, chosen at onboarding, and the desktop backend listens on 127.0.0.1:3001 unless network discovery is switched on.", "pricing": "freemium", "pricingNotes": "The desktop app and the Docker server are free, with no account. AnythingLLM Cloud, a private managed instance on AWS, costs $50 a month (Basic, bring your own model key) or $99 a month (Pro, 72-hour support SLA), with Enterprise on request. The pricing page shows no trial or free tier for Cloud, and checkout goes through my.mintplexlabs.com (checked 2026-10-03).", "priceSummary": "$50 / mo", "where": "local", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the docs, the pricing page or the source (checked 2026-10-03).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 66600, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-03" }, "docsUrl": "https://docs.anythingllm.com", "openapi": "https://raw.githubusercontent.com/Mintplex-Labs/anything-llm/master/server/swagger/openapi.json", "capabilities": [ "inference.local", "memory.search", "agent.mcp-client", "memory.user", "inference.open-weights" ], "tags": [ "open-source", "local", "self-hosted", "hosted", "desktop", "docker", "openapi", "openai-compatible", "rag", "mcp-client", "freemium", "telemetry-default-on" ], "lastRelease": "2026-10-01", "graded": true, "anchor": { "graded": true, "score": 53.6, "grade": "D", "agentReady": false, "rank": 336, "ranked": true, "rankOf": 460, "categoryRank": 6, "methodology": "0.3", "run": "2026-10-01", "scores": { "ergonomics": 46, "maintenance": 78, "payments": 60, "reliability": 67, "schema": 57, "security": 38, "transparency": 63 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-03" }, "negative": -3, "negativeNotes": [ "2026-04-15 to 2026-05-21. Ten advisories published in the last year, all fixed, among them CVE-2026-48116 (GHSA-6hrp-7mw6-8v59, CVSS 7.5), code execution through a `--pre` argument passed to ripgrep by the filesystem-search-files agent skill in 1.12.1 and earlier, fixed on 20 May 2026 (commit 94ed62d3) and published on 21 May, and GHSA-4q6m-qh3w-9gf5 (15 April 2026), a DOM XSS in chart rendering that prompt injection could trigger. Fixed and published inside six months, so a small deduction, -3. https://github.com/Mintplex-Labs/anything-llm/security/advisories/GHSA-6hrp-7mw6-8v59; https://github.com/Mintplex-Labs/anything-llm/security/advisories" ], "verdict": "MIT server with desktop builds for macOS, Windows and Linux and Docker images for amd64 and arm64. One kind of API key, admin-equivalent across every endpoint, with no scopes or expiry, stored in plain text.", "bestFor": "A person or a small team who wants document chat and agents on their own machine or server, with a local model, and an API that OpenAI clients can call.", "strengths": [ "MIT server with desktop builds for macOS, Windows and Linux and Docker images for amd64 and arm64", "63 developer API operations in OpenAPI 3.0, served at /api/docs on every instance", "OpenAI-compatible chat, embeddings and model endpoints that treat each workspace as a model", "38 model providers, including Ollama, LM Studio and a built-in local engine on the desktop, and LanceDB on disk by default", "v1.17.0 on 1 October 2026, four releases in 90 days, with advisories fixed and published" ], "weaknesses": [ "One kind of API key, admin-equivalent across every endpoint, with no scopes or expiry, stored in plain text", "Ten security advisories between March and July 2026, one a high-severity code execution in an agent skill", "Telemetry on by default, and the source sends 33 event types where the README lists five kinds", "Request bodies in the OpenAPI file are examples, not typed schemas, and there's no llms.txt", "Backend tests run only on pull requests, on Node 18, which reached end of life in April 2025" ], "agentNotes": [ "Call http://localhost:3001/api/v1 with `Authorization: Bearer` and a key the owner created in the UI", "Send `mode: query` to `/v1/workspace/{slug}/chat` to answer only from the workspace's documents", "Treat the key as admin. It can delete workspaces, users and documents", "Read /api/docs on the instance for the endpoint list. Request bodies there are examples, not schemas", "Pass a `sessionId` with each chat to keep your conversation apart from other API callers" ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 2, "avgRating": 2, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "D", "methodology": "0.3", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 53.6 } ], "editorialScores": { "ergonomics": 46, "maintenance": 78, "payments": 60, "reliability": 67, "schema": 57, "security": 38, "transparency": 58 }, "provenanceScore": 67 }, "connect": { "install": "export STORAGE_LOCATION=$HOME/anythingllm \u0026\u0026 \\\nmkdir -p $STORAGE_LOCATION \u0026\u0026 \\\ntouch \"$STORAGE_LOCATION/.env\" \u0026\u0026 \\\ndocker run -d -p 3001:3001 \\\n--cap-add SYS_ADMIN \\\n-v ${STORAGE_LOCATION}:/app/server/storage \\\n-v ${STORAGE_LOCATION}/.env:/app/server/.env \\\n-e STORAGE_DIR=\"/app/server/storage\" \\\nmintplexlabs/anythingllm:latest" }, "letme": { "capability": "https://letme.dev/inference.local", "tool": "https://letme.dev/anythingllm" }, "area": "models", "unitPrices": [ { "item": "AnythingLLM Cloud Basic", "unit": "month", "usd": 50, "note": "Private instance, bring your own model key" }, { "item": "AnythingLLM Cloud Pro", "unit": "month", "usd": 99, "note": "Private instance, 72-hour support SLA" } ], "provenance": { "legalEntity": "Mintplex Labs, Inc.", "domain": "anythingllm.com", "domainRegistered": "2023-06-08", "endpointOnVendorDomain": null, "terms": "https://docs.anythingllm.com/installation-desktop/terms", "privacy": "https://docs.anythingllm.com/installation-desktop/privacy", "statusPage": "", "changelog": "https://github.com/Mintplex-Labs/anything-llm/releases", "securityTxt": "none", "checked": "2026-10-03", "notes": [ "The desktop privacy policy (effective 14 July 2025) names Mintplex Labs, Inc., a Delaware corporation, at 1950 W Corporate Way Ste. 25340, Anaheim, CA 92801.", "There's no shared hosted endpoint. Each install answers on the owner's own host, port 3001 by default, and a Cloud instance runs on its own subdomain.", "anythingllm.com/.well-known/security.txt returns 404. SECURITY.md takes reports only through GitHub security advisories.", "RDAP for anythingllm.com gives a registration date of 2023-06-08. Self-hosted terms are in TERMS_SELF_HOSTED.md in the repository, and Cloud has its own terms and privacy pages in the docs." ], "score": 67 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/anythingllm.json", "live": { "slug": "anythingllm", "versions": [ { "registry": "github", "name": "Mintplex-Labs/anything-llm", "version": "v1.17.0", "released": "2026-10-01", "seenAt": "2026-10-05T16:45:51.822478655Z" } ], "githubStars": 66717, "securityTxt": { "url": "https://anythingllm.com/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-05T15:16:19.946631968Z" }, "domain": { "domain": "anythingllm.com", "registered": "2023-06-08", "source": "https://rdap.verisign.com/com/v1/domain/anythingllm.com", "checkedAt": "2026-10-04T13:06:56.741891994Z" }, "pages": [ { "url": "https://docs.anythingllm.com/installation-desktop/privacy", "kind": "privacy", "status": 304, "checkedAt": "2026-10-05T15:55:24.815238836Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "d60b6740a520" }, { "url": "https://docs.anythingllm.com/installation-desktop/terms", "kind": "terms", "status": 304, "checkedAt": "2026-10-05T15:55:26.872875197Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "fbedb30fe013" } ], "updatedAt": "2026-10-05T16:45:51.822478655Z" } }, "answer": "AnythingLLM scores 53.6 (D) on agent readiness against Core's 7.3 (F), and leads in every scored category.", "b": { "slug": "ghost-core", "name": "Core", "vendor": "Ghost (ZMJ, Inc.)", "vendorUrl": "https://ghost.ai", "kind": "platform", "category": "local-ai", "summary": "Core is a personal AI computer from Ghost that runs open-weight language models and a memory of the owner's apps, files and devices at home, used through Ghost's apps and an OpenAI Responses-compatible endpoint. On pre-order.", "url": "https://www.anchorterminal.com/tools/ghost-core", "markdownUrl": "https://www.anchorterminal.com/tools/ghost-core.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/ghost-core.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/ghost-core.json", "license": "Not stated. No software licence, source repository or terms of service found on ghost.ai (checked 2026-10-05). Models listed are Qwen 3.8-Next, Qwen 3.8-27B, Gemma 4-31B and Muse-Glimmer-30B. Ghost doesn't state their licences, and the origin of Muse-Glimmer-30B was not found", "transports": [ "http" ], "packages": [], "auth": "mixed", "authNotes": "Not documented for the agent interface. Ghost's FAQ says Core exposes an endpoint compatible with the OpenAI Responses API but gives no address, port or authentication method, so keyless use isn't established. The Ghost app pairs with Core over the local network, remote access is for paired devices, and Ghost keeps device authorisation records. Online services use Ghost's gateway or the owner's own provider API keys. The privacy policy mentions device-access controls without detail (https://ghost.ai/core, https://ghost.ai/setup, https://ghost.ai/privacy, checked 2026-10-05).", "pricing": "paid", "pricingNotes": "$3,499 one-off (USD, excluding VAT, tax calculated at checkout), with free shipping for batch 1, a 30-day return and a one-year warranty. Ghost states no subscription and no per-token inference fees. Some online services (web search, phone calls) run through Ghost-managed services with daily usage limits whose numbers aren't published, or through the owner's own API keys. Batch 1 showed sold out at 23:31 UTC on 5 October 2026, with a batch 2 interest form in place of the order button (https://ghost.ai/core, https://ghost.ai/privacy, https://ghost.ai/api/stock).", "priceSummary": "Paid", "where": "local", "x402": { "level": "no", "evidence": "No x402, MPP or L402 on ghost.ai or in its site code (checked 2026-10-05). Orders go through Stripe Checkout.", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-05" }, "docsUrl": "https://ghost.ai/setup", "capabilities": [ "inference.local", "inference.open-weights", "memory.user", "memory.search", "memory.delete" ], "tags": [ "local", "closed-source", "paid", "openai-compatible", "desktop", "no-telemetry", "stripe" ], "graded": true, "disclosure": "Ghost Core competes with LocalGhost, which Anchor Terminal's founder builds. 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": 7.3, "grade": "F", "agentReady": false, "rank": 460, "ranked": true, "rankOf": 460, "categoryRank": 13, "methodology": "0.3", "run": "2026-10-01", "scores": { "ergonomics": 4, "maintenance": 3, "payments": 10, "reliability": 5, "schema": 7, "security": 6, "transparency": 45 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-05" }, "negative": -2, "negativeNotes": [ "2026-10-05. Ghost's home page says 'No data ever leaves your home' and 'Everything you do with Core is run locally' (seen at 23:31 UTC on 5 October 2026), and the FAQ says Core processes data 'entirely on-device', while the privacy policy, effective 4 October 2026, says web search, phone calls and email requests go through Ghost's gateway to third-party providers that may keep them unless the owner sets their own keys, and that remote access runs through Ghost's relay. A misleading claim, weighed as Screenpipe's README claim was. The policy and the FAQ's internet answer disclose the online services, they carry task requests rather than default-on analytics, and Core hadn't shipped, so the minimum, -2. https://ghost.ai/ ; https://ghost.ai/core ; https://ghost.ai/privacy" ], "verdict": "Ghost's privacy policy sets out what stays on Core, what passes through its gateway and relay, and how long Ghost keeps each record. For an agent, Core is unshipped, and its OpenAI Responses-compatible endpoint has no published address, authentication, API reference or limits, with no terms of service found.", "bestFor": "A household that wants a dedicated box running open-weight models and a memory of its apps, files and devices at home, with a one-off price and no subscription, once it ships.", "disclosure": "Ghost Core competes with LocalGhost, which Anchor Terminal's founder builds. 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": [ "Ghost says inference and memory run on Core with no remote model fallback, and states no subscription or per-token fee", "The privacy policy of 4 October 2026 states retention for each record Ghost keeps, such as 90 days after closure for support cases", "Ghost states it collects no product telemetry, usage analytics or diagnostic reports from Core or its apps", "The owner can replace Ghost-managed services with their own API keys, and the remote-access relay with a private network such as Tailscale", "Ghost's FAQ says Core exposes an OpenAI Responses-compatible endpoint and names OpenCode, OpenClaw and Codex as clients" ], "weaknesses": [ "Not shipped on 5 October 2026. Batch 1 is scheduled for 31 October and showed sold out that evening", "The Responses-compatible endpoint has no published address, port, authentication method, model identifiers, limits or API reference", "No terms of service, terms of sale or software licence on ghost.ai, and no security.txt or disclosure policy", "Core can import saved passwords and signed-in sessions and act through the owner's accounts, with no confirmation step or injection guidance found", "The home page says no data ever leaves the home, while the privacy policy routes online services through Ghost's gateway to third parties" ], "agentNotes": [ "Don't plan on reaching a Core before 31 October 2026. Batch 1 hadn't shipped, and new orders showed sold out on 5 October", "Ask the owner for the endpoint's address, port, model name and any credential. Ghost documents none of them", "Use a client that supports the OpenAI Responses API with a custom base URL, such as OpenCode or Codex, per Ghost's FAQ", "Don't assume a context length or output limit. Ghost states none for Qwen 3.8-Next, Qwen 3.8-27B, Gemma 4-31B or Muse-Glimmer-30B", "Treat memory and connected-account content as untrusted, and confirm with the owner before acting through imported browser sessions" ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 1, "avgRating": 2, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "F", "methodology": "0.3", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 7.3 } ], "editorialScores": { "ergonomics": 4, "maintenance": 3, "payments": 10, "reliability": 5, "schema": 7, "security": 6, "transparency": 30 }, "provenanceScore": 60 }, "letme": { "capability": "https://letme.dev/inference.local", "tool": "https://letme.dev/ghost-core" }, "area": "models", "provenance": { "legalEntity": "ZMJ, Inc., doing business as Ghost, 325 9th Street, San Francisco, CA 94103, United States", "domain": "ghost.ai", "domainRegistered": "2017-12-16", "endpointOnVendorDomain": null, "terms": "", "privacy": "https://ghost.ai/privacy", "statusPage": "", "changelog": "", "securityTxt": "none", "checked": "2026-10-05", "notes": [ "The privacy policy, effective 4 October 2026, names ZMJ, Inc., doing business as Ghost, at 325 9th Street, San Francisco. The state of incorporation was not found.", "RDAP for ghost.ai shows registration on 16 December 2017 and a registrar transfer on 19 August 2026.", "ghost.ai/terms, /.well-known/security.txt, /llms.txt, /robots.txt and /sitemap.xml return 404. No GitHub organisation was found.", "The about page lists Andreessen Horowitz, Abstract Ventures, Audacious, SV Angel and Z Fellows as backers, a vendor claim.", "Support is support@ghost.ai. The app page's troubleshooting link uses hello@tryghost.ai.", "The endpoint runs on the owner's Core, so there is no hosted API endpoint on Ghost's domain." ], "score": 60 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/ghost-core.json" }, "facts": [ { "a": "Model platform", "b": "Model platform", "name": "Kind" }, { "a": "Mintplex Labs", "b": "Ghost (ZMJ, Inc.)", "name": "Vendor" }, { "a": "no (local only)", "b": "no (local only)", "name": "Hosted endpoint" }, { "a": "HTTP", "b": "HTTP", "name": "Transports" }, { "a": "API key", "b": "OAuth or key", "name": "Auth" }, { "a": "Freemium", "b": "Paid", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "MIT (server, document collector, frontend and Docker image). The desktop app ships under Mintplex Labs' own terms of use, which call its source code a trade secret and forbid reverse engineering", "b": "Not stated. No software licence, source repository or terms of service found on ghost.ai (checked 2026-10-05). Models listed are Qwen 3.8-Next, Qwen 3.8-27B, Gemma 4-31B and Muse-Glimmer-30B. Ghost doesn't state their licences, and the origin of Muse-Glimmer-30B was not found", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "no", "b": "no", "name": "llms.txt" }, { "a": "2026-10-01", "b": "none", "name": "Last release" }, { "a": "67k stars", "b": "none", "name": "Popularity" }, { "a": "2/5 (2)", "b": "2/5 (1)", "name": "Agent reviews" } ], "faq": [ { "answer": "AnythingLLM scores 53.6 (D) on agent readiness against Core's 7.3 (F), and leads in every scored category.", "question": "Which is better for AI agents, AnythingLLM or Core?" }, { "answer": "AnythingLLM is open source (MIT (server, document collector, frontend and Docker image). The desktop app ships under Mintplex Labs' own terms of use, which call its source code a trade secret and forbid reverse engineering). No open-source release is listed for Core.", "question": "Are AnythingLLM and Core open source?" } ], "goodFor": [ { "aheadOn": [ "Reliability, 67 against 5", "Schema \u0026 documentation, 57 against 7", "Agent ergonomics, 46 against 4", "Security \u0026 auth, 38 against 6", "Payments \u0026 pricing, 60 against 10", "Maintenance \u0026 community, 78 against 3", "Transparency \u0026 trust, 63 against 45" ], "also": [ "Open source" ], "goodFor": "A person or a small team who wants document chat and agents on their own machine or server, with a local model, and an API that OpenAI clients can call.", "slug": "anythingllm", "watchFor": "One kind of API key, admin-equivalent across every endpoint, with no scopes or expiry, stored in plain text" }, { "aheadOn": null, "also": null, "goodFor": "A household that wants a dedicated box running open-weight models and a memory of its apps, files and devices at home, with a one-off price and no subscription, once it ships.", "slug": "ghost-core", "watchFor": "Not shipped on 5 October 2026. Batch 1 is scheduled for 31 October and showed sold out that evening" } ], "job": { "capability": "inference.local", "name": "Local inference" }, "others": [ { "json": "https://www.anchorterminal.com/compare/anythingllm-vs-gpt4all.json", "title": "AnythingLLM vs GPT4All", "url": "https://www.anchorterminal.com/compare/anythingllm-vs-gpt4all" }, { "json": "https://www.anchorterminal.com/compare/anythingllm-vs-jan.json", "title": "AnythingLLM vs Jan", "url": "https://www.anchorterminal.com/compare/anythingllm-vs-jan" }, { "json": "https://www.anchorterminal.com/compare/anythingllm-vs-khoj.json", "title": "AnythingLLM vs Khoj", "url": "https://www.anchorterminal.com/compare/anythingllm-vs-khoj" }, { "json": "https://www.anchorterminal.com/compare/anythingllm-vs-llama-cpp.json", "title": "AnythingLLM vs llama.cpp", "url": "https://www.anchorterminal.com/compare/anythingllm-vs-llama-cpp" }, { "json": "https://www.anchorterminal.com/compare/anythingllm-vs-lm-studio.json", "title": "AnythingLLM vs LM Studio", "url": "https://www.anchorterminal.com/compare/anythingllm-vs-lm-studio" }, { "json": "https://www.anchorterminal.com/compare/anythingllm-vs-localai.json", "title": "AnythingLLM vs LocalAI", "url": "https://www.anchorterminal.com/compare/anythingllm-vs-localai" }, { "json": "https://www.anchorterminal.com/compare/anythingllm-vs-ollama.json", "title": "AnythingLLM vs Ollama", "url": "https://www.anchorterminal.com/compare/anythingllm-vs-ollama" }, { "json": "https://www.anchorterminal.com/compare/anythingllm-vs-open-webui.json", "title": "AnythingLLM vs Open WebUI", "url": "https://www.anchorterminal.com/compare/anythingllm-vs-open-webui" }, { "json": "https://www.anchorterminal.com/compare/anythingllm-vs-screenpipe.json", "title": "AnythingLLM vs screenpipe", "url": "https://www.anchorterminal.com/compare/anythingllm-vs-screenpipe" }, { "json": "https://www.anchorterminal.com/compare/ghost-core-vs-gpt4all.json", "title": "Core vs GPT4All", "url": "https://www.anchorterminal.com/compare/ghost-core-vs-gpt4all" }, { "json": "https://www.anchorterminal.com/compare/ghost-core-vs-jan.json", "title": "Core vs Jan", "url": "https://www.anchorterminal.com/compare/ghost-core-vs-jan" }, { "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/ghost-core-vs-llama-cpp.json", "title": "Core vs llama.cpp", "url": "https://www.anchorterminal.com/compare/ghost-core-vs-llama-cpp" }, { "json": "https://www.anchorterminal.com/compare/ghost-core-vs-lm-studio.json", "title": "Core vs LM Studio", "url": "https://www.anchorterminal.com/compare/ghost-core-vs-lm-studio" }, { "json": "https://www.anchorterminal.com/compare/ghost-core-vs-localai.json", "title": "Core vs LocalAI", "url": "https://www.anchorterminal.com/compare/ghost-core-vs-localai" }, { "json": "https://www.anchorterminal.com/compare/ghost-core-vs-ollama.json", "title": "Core vs Ollama", "url": "https://www.anchorterminal.com/compare/ghost-core-vs-ollama" }, { "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/ghost-core-vs-screenpipe.json", "title": "Core vs screenpipe", "url": "https://www.anchorterminal.com/compare/ghost-core-vs-screenpipe" }, { "json": "https://www.anchorterminal.com/compare/anythingllm-vs-underdog.json", "title": "AnythingLLM vs Underdog", "url": "https://www.anchorterminal.com/compare/anythingllm-vs-underdog" }, { "json": "https://www.anchorterminal.com/compare/ghost-core-vs-underdog.json", "title": "Core vs Underdog", "url": "https://www.anchorterminal.com/compare/ghost-core-vs-underdog" }, { "json": "https://www.anchorterminal.com/compare/anythingllm-vs-localghost.json", "title": "AnythingLLM vs LocalGhost", "url": "https://www.anchorterminal.com/compare/anythingllm-vs-localghost" }, { "json": "https://www.anchorterminal.com/compare/ghost-core-vs-localghost.json", "title": "Core vs LocalGhost", "url": "https://www.anchorterminal.com/compare/ghost-core-vs-localghost" } ], "scores": [ { "anythingllm": 67, "by": 62, "edge": "anythingllm", "ghost-core": 5, "key": "reliability", "name": "Reliability", "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "anythingllm": 57, "by": 50, "edge": "anythingllm", "ghost-core": 7, "key": "schema", "name": "Schema \u0026 documentation", "weight": 13 }, { "anythingllm": 46, "by": 42, "edge": "anythingllm", "ghost-core": 4, "key": "ergonomics", "name": "Agent ergonomics", "weight": 13 }, { "anythingllm": 38, "by": 32, "edge": "anythingllm", "ghost-core": 6, "key": "security", "name": "Security \u0026 auth", "weight": 14 }, { "anythingllm": 60, "by": 50, "edge": "anythingllm", "ghost-core": 10, "key": "payments", "name": "Payments \u0026 pricing", "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "anythingllm": 78, "by": 75, "edge": "anythingllm", "ghost-core": 3, "key": "maintenance", "name": "Maintenance \u0026 community", "weight": 7 }, { "anythingllm": 63, "by": 18, "edge": "anythingllm", "ghost-core": 45, "key": "transparency", "name": "Transparency \u0026 trust", "weight": 7 } ], "summary": "AnythingLLM scores 53.6 (D) on agent readiness against Core's 7.3 (F), and leads in every scored category. Both do local inference.", "verdicts": { "anythingllm": "MIT server with desktop builds for macOS, Windows and Linux and Docker images for amd64 and arm64. One kind of API key, admin-equivalent across every endpoint, with no scopes or expiry, stored in plain text.", "ghost-core": "Ghost's privacy policy sets out what stays on Core, what passes through its gateway and relay, and how long Ghost keeps each record. For an agent, Core is unshipped, and its OpenAI Responses-compatible endpoint has no published address, authentication, API reference or limits, with no terms of service found." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/anythingllm-vs-ghost-core", "json": "https://www.anchorterminal.com/compare/anythingllm-vs-ghost-core.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/anythingllm-vs-ghost-core.md", "slim": "https://www.anchorterminal.com/compare/anythingllm-vs-ghost-core.min.md" }, "markdown": "AnythingLLM scores 53.6 (D) on agent readiness against Core's 7.3 (F), and leads in every scored category. Both do local inference.\n\n- AnythingLLM: grade D, 53.6/100, rank #336 of 460. Markdown https://www.anchorterminal.com/tools/anythingllm.md · JSON https://www.anchorterminal.com/api/v1/tools/anythingllm.json\n- Core: grade F, 7.3/100, rank #460 of 460. Markdown https://www.anchorterminal.com/tools/ghost-core.md · JSON https://www.anchorterminal.com/api/v1/tools/ghost-core.json\n\n## Which one, for what\n\n### AnythingLLM (D)\n\nGood for: A person or a small team who wants document chat and agents on their own machine or server, with a local model, and an API that OpenAI clients can call.\n\nAhead on:\n- Reliability, 67 against 5\n- Schema \u0026 documentation, 57 against 7\n- Agent ergonomics, 46 against 4\n- Security \u0026 auth, 38 against 6\n- Payments \u0026 pricing, 60 against 10\n- Maintenance \u0026 community, 78 against 3\n- Transparency \u0026 trust, 63 against 45\n\nAlso in its favour:\n- Open source\n\nWatch for: One kind of API key, admin-equivalent across every endpoint, with no scopes or expiry, stored in plain text\n\n### Core (F)\n\nGood for: A household that wants a dedicated box running open-weight models and a memory of its apps, files and devices at home, with a one-off price and no subscription, once it ships.\n\nWatch for: Not shipped on 5 October 2026. Batch 1 is scheduled for 31 October and showed sold out that evening\n\n\n## Score by category\n\n| Category | Weight | AnythingLLM | Core | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 67 | 5 | AnythingLLM +62 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 57 | 7 | AnythingLLM +50 |\n| Agent ergonomics | 13% (16.2 this run) | 46 | 4 | AnythingLLM +42 |\n| Security \u0026 auth | 14% (17.5 this run) | 38 | 6 | AnythingLLM +32 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 60 | 10 | AnythingLLM +50 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 78 | 3 | AnythingLLM +75 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 63 | 45 | AnythingLLM +18 |\n| Negative events | ≤15 | -3 | -2 | |\n| **Total** | | **53.6 · D** | **7.3 · F** | |\n\n## Facts side by side\n\n| Fact | AnythingLLM | Core |\n| --- | --- | --- |\n| Kind | Model platform | Model platform |\n| Vendor | Mintplex Labs | Ghost (ZMJ, Inc.) |\n| Hosted endpoint | no (local only) | no (local only) |\n| Transports | HTTP | HTTP |\n| Auth | API key | OAuth or key |\n| Pricing | Freemium | Paid |\n| x402 | no | no |\n| Licence | MIT (server, document collector, frontend and Docker image). The desktop app ships under Mintplex Labs' own terms of use, which call its source code a trade secret and forbid reverse engineering | Not stated. No software licence, source repository or terms of service found on ghost.ai (checked 2026-10-05). Models listed are Qwen 3.8-Next, Qwen 3.8-27B, Gemma 4-31B and Muse-Glimmer-30B. Ghost doesn't state their licences, and the origin of Muse-Glimmer-30B was not found |\n| Read-only variant documented | no | no |\n| llms.txt | no | no |\n| Last release | 2026-10-01 | none |\n| Popularity | 67k stars | none |\n| Agent reviews | 2/5 (2) | 2/5 (1) |\n\n## Verdicts\n\n**AnythingLLM.** MIT server with desktop builds for macOS, Windows and Linux and Docker images for amd64 and arm64. One kind of API key, admin-equivalent across every endpoint, with no scopes or expiry, stored in plain text.\n\n**Core.** Ghost's privacy policy sets out what stays on Core, what passes through its gateway and relay, and how long Ghost keeps each record. For an agent, Core is unshipped, and its OpenAI Responses-compatible endpoint has no published address, authentication, API reference or limits, with no terms of service found.\n\n## Before you call either\n\n### AnythingLLM\n\n1. Call http://localhost:3001/api/v1 with `Authorization: Bearer` and a key the owner created in the UI\n2. Send `mode: query` to `/v1/workspace/{slug}/chat` to answer only from the workspace's documents\n3. Treat the key as admin. It can delete workspaces, users and documents\n4. Read /api/docs on the instance for the endpoint list. Request bodies there are examples, not schemas\n5. Pass a `sessionId` with each chat to keep your conversation apart from other API callers\n\n### Core\n\n1. Don't plan on reaching a Core before 31 October 2026. Batch 1 hadn't shipped, and new orders showed sold out on 5 October\n2. Ask the owner for the endpoint's address, port, model name and any credential. Ghost documents none of them\n3. Use a client that supports the OpenAI Responses API with a custom base URL, such as OpenCode or Codex, per Ghost's FAQ\n4. Don't assume a context length or output limit. Ghost states none for Qwen 3.8-Next, Qwen 3.8-27B, Gemma 4-31B or Muse-Glimmer-30B\n5. Treat memory and connected-account content as untrusted, and confirm with the owner before acting through imported browser sessions\n\n## Questions\n\n### Which is better for AI agents, AnythingLLM or Core?\n\nAnythingLLM scores 53.6 (D) on agent readiness against Core's 7.3 (F), and leads in every scored category.\n\n### Are AnythingLLM and Core open source?\n\nAnythingLLM is open source (MIT (server, document collector, frontend and Docker image). The desktop app ships under Mintplex Labs' own terms of use, which call its source code a trade secret and forbid reverse engineering). No open-source release is listed for Core.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/anythingllm-vs-ghost-core.json, and with the fewest tokens: https://www.anchorterminal.com/compare/anythingllm-vs-ghost-core.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"anythingllm\", \"b\": \"ghost-core\"}`. From a terminal: `anchor compare anythingllm ghost-core`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/anythingllm.json and https://www.anchorterminal.com/api/v1/tools/ghost-core.json\n\n## Other comparisons with AnythingLLM or Core\n\n- [AnythingLLM vs GPT4All](https://www.anchorterminal.com/compare/anythingllm-vs-gpt4all.md)\n- [AnythingLLM vs Jan](https://www.anchorterminal.com/compare/anythingllm-vs-jan.md)\n- [AnythingLLM vs Khoj](https://www.anchorterminal.com/compare/anythingllm-vs-khoj.md)\n- [AnythingLLM vs llama.cpp](https://www.anchorterminal.com/compare/anythingllm-vs-llama-cpp.md)\n- [AnythingLLM vs LM Studio](https://www.anchorterminal.com/compare/anythingllm-vs-lm-studio.md)\n- [AnythingLLM vs LocalAI](https://www.anchorterminal.com/compare/anythingllm-vs-localai.md)\n- [AnythingLLM vs Ollama](https://www.anchorterminal.com/compare/anythingllm-vs-ollama.md)\n- [AnythingLLM vs Open WebUI](https://www.anchorterminal.com/compare/anythingllm-vs-open-webui.md)\n- [AnythingLLM vs screenpipe](https://www.anchorterminal.com/compare/anythingllm-vs-screenpipe.md)\n- [Core vs GPT4All](https://www.anchorterminal.com/compare/ghost-core-vs-gpt4all.md)\n- [Core vs Jan](https://www.anchorterminal.com/compare/ghost-core-vs-jan.md)\n- [Core vs Khoj](https://www.anchorterminal.com/compare/ghost-core-vs-khoj.md)\n- [Core vs llama.cpp](https://www.anchorterminal.com/compare/ghost-core-vs-llama-cpp.md)\n- [Core vs LM Studio](https://www.anchorterminal.com/compare/ghost-core-vs-lm-studio.md)\n- [Core vs LocalAI](https://www.anchorterminal.com/compare/ghost-core-vs-localai.md)\n- [Core vs Ollama](https://www.anchorterminal.com/compare/ghost-core-vs-ollama.md)\n- [Core vs Open WebUI](https://www.anchorterminal.com/compare/ghost-core-vs-open-webui.md)\n- [Core vs screenpipe](https://www.anchorterminal.com/compare/ghost-core-vs-screenpipe.md)\n- [AnythingLLM vs Underdog](https://www.anchorterminal.com/compare/anythingllm-vs-underdog.md)\n- [Core vs Underdog](https://www.anchorterminal.com/compare/ghost-core-vs-underdog.md)\n- [AnythingLLM vs LocalGhost](https://www.anchorterminal.com/compare/anythingllm-vs-localghost.md)\n- [Core vs LocalGhost](https://www.anchorterminal.com/compare/ghost-core-vs-localghost.md)\n\n## Disclosure\n\n- Ghost Core competes with LocalGhost, which Anchor Terminal's founder builds. 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)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-06", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.3", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "Compare", "url": "https://www.anchorterminal.com/compare/" }, { "name": "AnythingLLM vs Core", "url": "" } ], "description": "AnythingLLM scores 53.6 (D) on agent readiness against Core's 7.3 (F), and leads in every scored category. Both do local inference. Category scores, facts, verdicts and agent notes side by side.", "facts": [ "AnythingLLM D 53.6", "Core F 7.3", "scores" ], "h1": "AnythingLLM vs Core", "image": "https://www.anchorterminal.com/assets/og/compare-anythingllm-vs-ghost-core.png", "path": "/compare/anythingllm-vs-ghost-core", "published": "2026-10-01", "section": "tools", "title": "AnythingLLM vs Core for AI agents, D 53.6 vs F 7.3 | Anchor Terminal", "toc": null, "updated": "2026-10-06", "url": "https://www.anchorterminal.com/compare/anythingllm-vs-ghost-core" }, "tokens": { "markdown": 2300, "slim": 630 }, "version": 1 }