{ "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": 53.5, "grade": "D", "agentReady": false, "rank": 822, "ranked": true, "rankOf": 1218, "categoryRank": 13, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 46, "maintenance": 78, "payments": 60, "reliability": 67, "schema": 57, "security": 38, "transparency": 62 }, "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": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 53.5 } ], "editorialScores": { "ergonomics": 46, "maintenance": 78, "payments": 60, "reliability": 67, "schema": 57, "security": 38, "transparency": 58 }, "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": "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": 66 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/anythingllm.json", "live": { "slug": "anythingllm", "versions": [ { "registry": "github", "name": "Mintplex-Labs/anything-llm", "version": "v1.19.0", "released": "2026-10-26", "seenAt": "2026-10-27T10:43:50.785705029Z" } ], "githubStars": 67621, "securityTxt": { "url": "https://anythingllm.com/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-27T15:31:12.980638186Z" }, "domain": { "domain": "anythingllm.com", "registered": "2023-06-08", "source": "https://rdap.verisign.com/com/v1/domain/anythingllm.com", "checkedAt": "2026-10-25T14:03:09.415637117Z" }, "pages": [ { "url": "https://docs.anythingllm.com/installation-desktop/privacy", "kind": "privacy", "status": 200, "checkedAt": "2026-10-27T03:43:12.316803363Z", "changedAt": "2026-10-27T03:43:12.316803363Z", "fingerprint": "0c687507c778" }, { "url": "https://docs.anythingllm.com/installation-desktop/terms", "kind": "terms", "status": 200, "checkedAt": "2026-10-27T03:43:14.432642242Z", "changedAt": "2026-10-27T03:43:14.432642242Z", "fingerprint": "d88a86a051d7" } ], "github": { "repo": "mintplex-labs/anything-llm", "checkedAt": "2026-10-26T07:46:43.817140901Z", "stars": 67570, "archived": false, "issuesEnabled": true, "pushedAt": "2026-10-25T18:20:45Z", "openIssues": 320, "openPRs": 31, "issuesOpened90d": 360, "issuesClosed90d": 336, "prsMerged90d": 299, "ci": { "branch": "master", "runs": 50, "success": 21, "failure": 2, "other": 27, "latest": "success", "latestAt": "2026-10-25T18:23:09Z" }, "advisories": [ { "ghsa": "GHSA-p9pc-ccw4-fxc5", "severity": "low", "published": "2026-09-21T18:19:57Z" }, { "ghsa": "GHSA-3f4c-xj8r-h4cr", "severity": "medium", "published": "2026-09-21T18:08:52Z" }, { "ghsa": "GHSA-8wh8-3v68-whwj", "severity": "medium", "published": "2026-09-14T16:42:35Z" }, { "ghsa": "GHSA-rh3m-xv7m-9jhf", "cve": "CVE-2026-88055", "severity": "medium", "published": "2026-09-01T16:29:20Z" }, { "ghsa": "GHSA-vv8w-wg6r-hq56", "cve": "CVE-2026-72917", "severity": "medium", "published": "2026-07-15T17:25:36Z" }, { "ghsa": "GHSA-r872-gr59-vf5w", "cve": "CVE-2026-55611", "severity": "low", "published": "2026-06-14T23:17:22Z" }, { "ghsa": "GHSA-j4m9-wwcq-m868", "cve": "CVE-2026-48789", "severity": "medium", "published": "2026-06-01T23:27:21Z" }, { "ghsa": "GHSA-6hrp-7mw6-8v59", "cve": "CVE-2026-48116", "severity": "high", "published": "2026-05-21T00:02:49Z" }, { "ghsa": "GHSA-h349-hp2v-8rhw", "cve": "CVE-2026-47713", "severity": "low", "published": "2026-05-19T18:28:03Z" }, { "ghsa": "GHSA-vjrp-43mm-j7vw", "cve": "CVE-2026-45403", "severity": "low", "published": "2026-05-10T20:12:20Z" }, { "ghsa": "GHSA-jwqg-jfg3-x5vv", "cve": "CVE-2026-42456", "severity": "medium", "published": "2026-04-22T23:46:30Z" }, { "ghsa": "GHSA-4q6m-qh3w-9gf5", "cve": "CVE-2026-41318", "severity": "medium", "published": "2026-04-15T17:38:37Z" }, { "ghsa": "GHSA-2qmm-82f7-8qj5", "severity": "medium", "published": "2026-03-13T23:51:21Z" }, { "ghsa": "GHSA-p5rf-8p88-979c", "severity": "medium", "published": "2026-03-13T22:22:27Z" }, { "ghsa": "GHSA-rh66-4w74-cf4m", "cve": "CVE-2026-32719", "severity": "medium", "published": "2026-03-13T17:18:38Z" }, { "ghsa": "GHSA-7754-8jcc-2rg3", "cve": "CVE-2026-32717", "severity": "low", "published": "2026-03-13T17:05:31Z" }, { "ghsa": "GHSA-wfq3-65gm-3g2p", "cve": "CVE-2026-32715", "severity": "low", "published": "2026-03-13T16:46:57Z" }, { "ghsa": "GHSA-jwjx-mw2p-5wc7", "cve": "CVE-2026-32628", "severity": "high", "published": "2026-03-13T04:57:39Z" }, { "ghsa": "GHSA-rrmw-2j6x-4mf2", "cve": "CVE-2026-32626", "severity": "critical", "published": "2026-03-13T03:50:32Z" }, { "ghsa": "GHSA-24qj-pw4h-3jmm", "cve": "CVE-2026-32617", "severity": "high", "published": "2026-03-12T22:42:05Z" }, { "ghsa": "GHSA-jp2f-99h9-7vjv", "cve": "CVE-2026-24478", "severity": "high", "published": "2026-01-24T01:08:03Z" }, { "ghsa": "GHSA-gm94-qc2p-xcwf", "cve": "CVE-2026-24477", "severity": "high", "published": "2026-01-24T00:05:36Z" }, { "ghsa": "GHSA-47vr-w3vm-69ch", "cve": "CVE-2026-21484", "severity": "medium", "published": "2026-01-02T23:51:01Z" }, { "ghsa": "GHSA-7hpg-6pc7-cx86", "severity": "high", "published": "2025-05-07T16:38:51Z" }, { "ghsa": "GHSA-xmj6-g32r-fc5q", "cve": "CVE-2024-22422", "severity": "high", "published": "2024-01-18T21:57:52Z" } ], "replies": { "sampled": 25, "unanswered": 2, "medianDays": 0.5 } }, "updatedAt": "2026-10-27T15:31:12.980638186Z" } }, "answer": "Berth scores 67.6 (B) on agent readiness against AnythingLLM's 53.5 (D), and leads in 5 of 7 scored categories.", "b": { "slug": "berth", "name": "Berth", "vendor": "Trevin Tindall (T-Crypt on GitHub)", "vendorUrl": "https://github.com/T-Crypt", "kind": "http-api", "category": "local-ai", "summary": "Berth is an open-source Go daemon and CLI that leases one GPU to local inference engines, image pipelines and games in turn, with a priority queue, measured VRAM handoffs and a preview OpenAI-compatible gateway on loopback.", "url": "https://www.anchorterminal.com/tools/berth", "markdownUrl": "https://www.anchorterminal.com/tools/berth.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/berth.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/berth.json", "repo": "https://github.com/T-Crypt/berth", "license": "Apache-2.0. The Berth name, the Pilot mascot and the artwork in assets/ are excluded from the licence, per the NOTICE file", "transports": [ "http" ], "packages": [ { "registry": "go", "name": "github.com/T-Crypt/berth" } ], "auth": "api-key", "authNotes": "The gateway (`berth gateway`, 127.0.0.1:9799) takes one bearer key on every API route. The key is created on first use in `~/.config/berth/api.key` with mode 600, a group- or world-readable file is refused, `berth key` prints it, and the comparison is constant-time. The gateway binds loopback only, refuses non-loopback Host names and any request with a browser Origin. The key has no scopes and no documented rotation command. The daemon itself answers on a Unix socket with mode 600 in a 700 directory, so only the owning user can lease the card. The harbor web UI (127.0.0.1:9798) is read-only with no login, and its actions need a device paired with `berth pair`. The wake page and the optional `--comfyui-listen` port take no key by design.", "pricing": "free", "pricingNotes": "Free under Apache-2.0 with nothing to buy and no account. No hosted service.", "priceSummary": "Free · OSS", "where": "local", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the README, the docs or the changelog (checked 2026-10-28). Nothing is sold.", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 245, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-28" }, "docsUrl": "https://t-crypt.github.io/berth/", "capabilities": [ "inference.local", "compute.gpu" ], "tags": [ "open-source", "local", "self-hosted", "free", "no-card", "apache-2.0", "openai-compatible", "go", "cli", "linux", "windows", "gpu", "agent-skill", "alpha", "pre-1.0", "new" ], "lastRelease": "2026-10-23", "graded": true, "anchor": { "graded": true, "score": 67.6, "grade": "B", "agentReady": false, "rank": 283, "ranked": true, "rankOf": 1218, "categoryRank": 2, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 75, "maintenance": 76, "payments": 60, "reliability": 76, "schema": 69, "security": 51, "transparency": 68 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-28" }, "negative": 0, "verdict": "Berth coordinates one NVIDIA card between engines, ComfyUI and games, grants a lease only after the driver shows memory free, and gives agents a skill, JSON output and a keyed loopback gateway. It is 17 days old, alpha and maintained by one developer, with Windows and AMD experimental and no machine-readable API spec.", "bestFor": "Someone running several GPU programs (llama.cpp, llama-swap, Ollama, vLLM, ComfyUI, games) on one NVIDIA card who wants them to take turns, and agents that need to ask for the card.", "strengths": [ "A lease is granted only after the driver shows the previous holder's memory free, and processes it did not start are reported, never killed", "Every reporting command takes `--format json|yaml`, with results on stdout and exit codes 0, 1, 2 and 75 by one documented rule", "Gateway failures return 503 with Retry-After and a machine code such as `outranked`, `engine_oom` or `no_headroom`", "CI builds, vets, lints and tests on Linux and Windows, and releases publish SHA256SUMS that `berth update` checks", "Apache-2.0, no account and no telemetry upload, with the one GitHub update check documented and switchable off" ], "weaknesses": [ "First released on 11 October 2026 and called alpha. Windows, AMD and multiple GPUs are experimental, and the gateway is a preview", "One bearer key with no scopes or documented rotation controls every gateway route, including switch and stop", "No OpenAPI file or llms.txt. The gateway's own routes are documented in Markdown with curl examples", "No SECURITY.md, security.txt or disclosure route, and the harbor has no login when bound past loopback", "Linux and NVIDIA only for full support, through nvidia-smi. Intel and Apple GPUs are not supported" ], "agentNotes": [ "Run `berth status --format json` before starting, stopping or switching any GPU engine. If berthd is unreachable, no engine is protected", "Never kill a process to free VRAM. Ask for the card with `berth run`, `berth hold` or a gateway request, and report stowaways to the user", "Send gateway requests to http://127.0.0.1:9799/v1 with `Authorization: Bearer $(berth key)`, and use `\"stream\": true` for cold starts of up to minutes", "On a 503, read the `code` and wait for `Retry-After`. A pinned holder (a game or `berth hold`) answers 409 to stop and is the user's call", "Ask the user before `berth reclaim LEASE --yes`, any berth.toml edit or `berth update`. Each changes the node" ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "B", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 67.6 } ], "editorialScores": { "ergonomics": 75, "maintenance": 76, "payments": 60, "reliability": 76, "schema": 69, "security": 51, "transparency": 74 }, "provenanceScore": 61, "checked": { "categories": { "ergonomics": "2026-10-28", "maintenance": "2026-10-28", "payments": "2026-10-28", "reliability": "2026-10-28", "schema": "2026-10-28", "security": "2026-10-28", "transparency": "2026-10-28" }, "last": "2026-10-28", "oldest": "2026-10-28", "stale": false, "staleAfterDays": 90 } }, "connect": { "install": "go install github.com/T-Crypt/berth/cmd/berth@latest # or a release binary checked against SHA256SUMS\nberth service install --harbor\nberth status\nberth run --as llama --priority foreground -- llama-server -m model.gguf --port 8080", "http": "curl -s http://127.0.0.1:9799/v1/berth/board -H \"Authorization: Bearer $(berth key)\"", "claudeCode": "berth skill install # writes the Berth and ComfyUI skills, including to ~/.claude/skills" }, "letme": { "capability": "https://letme.dev/inference.local", "tool": "https://letme.dev/berth" }, "area": "models", "provenance": { "legalEntity": "Trevin Tindall (T-Crypt on GitHub)", "domain": "", "domainRegistered": "", "endpointOnVendorDomain": null, "terms": "", "privacy": "", "statusPage": "", "changelog": "https://github.com/T-Crypt/berth/blob/main/CHANGELOG.md", "securityTxt": "none", "checked": "2026-10-28", "notes": [ "The project has no website of its own. The docs are an MkDocs site at https://t-crypt.github.io/berth/. The NOTICE and README name Trevin Tindall (T-Crypt) as the creator and maintainer, and the licence is Apache-2.0.", "No terms, privacy policy, SECURITY.md or security.txt. The changelog has a Security heading for v0.3.4.", "The software runs on the owner's machine, so there is no vendor endpoint or status page to check.", "T-Crypt/berth is the original. jenerestain/berth, sefator/berth and Bacongineer/berth-upstream keep its module path, copyright and links, and are forks of earlier snapshots." ], "score": 61 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/berth.json" }, "facts": [ { "a": "Platform", "b": "HTTP API", "name": "Kind" }, { "a": "Mintplex Labs", "b": "Trevin Tindall (T-Crypt on GitHub)", "name": "Vendor" }, { "a": "no (local only)", "b": "no (local only)", "name": "Hosted endpoint" }, { "a": "HTTP", "b": "HTTP", "name": "Transports" }, { "a": "API key", "b": "API key", "name": "Auth" }, { "a": "Freemium", "b": "Free", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "MIT (server, document collector, frontend and Docker image). The desktop app ships under Mintplex Labs' own terms of use, which call its source code a trade secret and forbid reverse engineering", "b": "Apache-2.0. The Berth name, the Pilot mascot and the artwork in assets/ are excluded from the licence, per the NOTICE file", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "no", "b": "no", "name": "llms.txt" }, { "a": "2026-10-01", "b": "2026-10-23", "name": "Last release" }, { "a": "no date given", "b": "no document linked", "name": "Terms last updated" }, { "a": "no date given", "b": "no document linked", "name": "Privacy policy last updated" }, { "a": "not found in the text", "b": "", "name": "Customer content may train models" }, { "a": "not found in the text", "b": "", "name": "Terms restrict automated access" }, { "a": "not found in the text", "b": "", "name": "Terms restrict benchmarking" }, { "a": "not found in the text", "b": "", "name": "Terms or service can change without notice" }, { "a": "not found in the text", "b": "", "name": "Arbitration or class-action waiver" }, { "a": "67k stars", "b": "245 stars", "name": "Popularity" }, { "a": "2/5 (2)", "b": "none", "name": "Agent reviews" } ], "faq": [ { "answer": "Berth scores 67.6 (B) on agent readiness against AnythingLLM's 53.5 (D), and leads in 5 of 7 scored categories.", "question": "Which is better for AI agents, AnythingLLM or Berth?" }, { "answer": "No hosted endpoint is listed for AnythingLLM. No hosted endpoint is listed for Berth.", "question": "Can an agent call AnythingLLM and Berth without installing anything?" }, { "answer": "Yes. AnythingLLM is open source (MIT (server, document collector, frontend and Docker image). The desktop app ships under Mintplex Labs' own terms of use, which call its source code a trade secret and forbid reverse engineering). Berth is open source (Apache-2.0. The Berth name, the Pilot mascot and the artwork in assets/ are excluded from the licence, per the NOTICE file).", "question": "Are AnythingLLM and Berth open source?" } ], "goodFor": [ { "aheadOn": null, "also": null, "goodFor": "A person or a small team who wants document chat and agents on their own machine or server, with a local model, and an API that OpenAI clients can call.", "slug": "anythingllm", "watchFor": "One kind of API key, admin-equivalent across every endpoint, with no scopes or expiry, stored in plain text" }, { "aheadOn": [ "Reliability, 76 against 67", "Schema \u0026 documentation, 69 against 57", "Agent ergonomics, 75 against 46", "Security \u0026 auth, 51 against 38", "Transparency \u0026 trust, 68 against 62" ], "also": [ "Free to start without a card", "No incidents deducted, where AnythingLLM loses 3 points for them" ], "goodFor": "Someone running several GPU programs (llama.cpp, llama-swap, Ollama, vLLM, ComfyUI, games) on one NVIDIA card who wants them to take turns, and agents that need to ask for the card.", "slug": "berth", "watchFor": "First released on 11 October 2026 and called alpha. Windows, AMD and multiple GPUs are experimental, and the gateway is a preview" } ], "job": { "capability": "inference.local", "name": "Local inference" }, "others": [ { "json": "https://www.anchorterminal.com/compare/anythingllm-vs-bitrun.json", "title": "AnythingLLM vs BitRun", "url": "https://www.anchorterminal.com/compare/anythingllm-vs-bitrun" }, { "json": "https://www.anchorterminal.com/compare/anythingllm-vs-docker-model-runner.json", "title": "AnythingLLM vs Docker Model Runner", "url": "https://www.anchorterminal.com/compare/anythingllm-vs-docker-model-runner" }, { "json": "https://www.anchorterminal.com/compare/anythingllm-vs-foundry-local.json", "title": "AnythingLLM vs Foundry Local", "url": "https://www.anchorterminal.com/compare/anythingllm-vs-foundry-local" }, { "json": "https://www.anchorterminal.com/compare/anythingllm-vs-ghost-core.json", "title": "AnythingLLM vs Core", "url": "https://www.anchorterminal.com/compare/anythingllm-vs-ghost-core" }, { "json": "https://www.anchorterminal.com/compare/anythingllm-vs-gpt4all.json", "title": "AnythingLLM vs GPT4All", "url": "https://www.anchorterminal.com/compare/anythingllm-vs-gpt4all" }, { "json": "https://www.anchorterminal.com/compare/anythingllm-vs-jan.json", "title": "AnythingLLM vs Jan", "url": "https://www.anchorterminal.com/compare/anythingllm-vs-jan" }, { "json": "https://www.anchorterminal.com/compare/anythingllm-vs-khoj.json", "title": "AnythingLLM vs Khoj", "url": "https://www.anchorterminal.com/compare/anythingllm-vs-khoj" }, { "json": "https://www.anchorterminal.com/compare/anythingllm-vs-koboldcpp.json", "title": "AnythingLLM vs KoboldCpp", "url": "https://www.anchorterminal.com/compare/anythingllm-vs-koboldcpp" }, { "json": "https://www.anchorterminal.com/compare/anythingllm-vs-lemonade.json", "title": "AnythingLLM vs Lemonade", "url": "https://www.anchorterminal.com/compare/anythingllm-vs-lemonade" }, { "json": "https://www.anchorterminal.com/compare/anythingllm-vs-llama-cpp.json", "title": "AnythingLLM vs llama.cpp", "url": "https://www.anchorterminal.com/compare/anythingllm-vs-llama-cpp" }, { "json": "https://www.anchorterminal.com/compare/anythingllm-vs-lm-studio.json", "title": "AnythingLLM vs LM Studio", "url": "https://www.anchorterminal.com/compare/anythingllm-vs-lm-studio" }, { "json": "https://www.anchorterminal.com/compare/anythingllm-vs-localai.json", "title": "AnythingLLM vs LocalAI", "url": "https://www.anchorterminal.com/compare/anythingllm-vs-localai" }, { "json": "https://www.anchorterminal.com/compare/anythingllm-vs-mlx-lm.json", "title": "AnythingLLM vs MLX LM", "url": "https://www.anchorterminal.com/compare/anythingllm-vs-mlx-lm" }, { "json": "https://www.anchorterminal.com/compare/anythingllm-vs-ollama.json", "title": "AnythingLLM vs Ollama", "url": "https://www.anchorterminal.com/compare/anythingllm-vs-ollama" }, { "json": "https://www.anchorterminal.com/compare/anythingllm-vs-open-webui.json", "title": "AnythingLLM vs Open WebUI", "url": "https://www.anchorterminal.com/compare/anythingllm-vs-open-webui" }, { "json": "https://www.anchorterminal.com/compare/anythingllm-vs-screenpipe.json", "title": "AnythingLLM vs screenpipe", "url": "https://www.anchorterminal.com/compare/anythingllm-vs-screenpipe" }, { "json": "https://www.anchorterminal.com/compare/anythingllm-vs-text-generation-webui.json", "title": "AnythingLLM vs TextGen", "url": "https://www.anchorterminal.com/compare/anythingllm-vs-text-generation-webui" }, { "json": "https://www.anchorterminal.com/compare/anythingllm-vs-vllm.json", "title": "AnythingLLM vs vLLM", "url": "https://www.anchorterminal.com/compare/anythingllm-vs-vllm" }, { "json": "https://www.anchorterminal.com/compare/berth-vs-bitrun.json", "title": "Berth vs BitRun", "url": "https://www.anchorterminal.com/compare/berth-vs-bitrun" }, { "json": "https://www.anchorterminal.com/compare/berth-vs-docker-model-runner.json", "title": "Berth vs Docker Model Runner", "url": "https://www.anchorterminal.com/compare/berth-vs-docker-model-runner" }, { "json": "https://www.anchorterminal.com/compare/berth-vs-foundry-local.json", "title": "Berth vs Foundry Local", "url": "https://www.anchorterminal.com/compare/berth-vs-foundry-local" }, { "json": "https://www.anchorterminal.com/compare/berth-vs-ghost-core.json", "title": "Berth vs Core", "url": "https://www.anchorterminal.com/compare/berth-vs-ghost-core" }, { "json": "https://www.anchorterminal.com/compare/berth-vs-gpt4all.json", "title": "Berth vs GPT4All", "url": "https://www.anchorterminal.com/compare/berth-vs-gpt4all" }, { "json": "https://www.anchorterminal.com/compare/berth-vs-jan.json", "title": "Berth vs Jan", "url": "https://www.anchorterminal.com/compare/berth-vs-jan" }, { "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/berth-vs-koboldcpp.json", "title": "Berth vs KoboldCpp", "url": "https://www.anchorterminal.com/compare/berth-vs-koboldcpp" }, { "json": "https://www.anchorterminal.com/compare/berth-vs-lemonade.json", "title": "Berth vs Lemonade", "url": "https://www.anchorterminal.com/compare/berth-vs-lemonade" }, { "json": "https://www.anchorterminal.com/compare/berth-vs-llama-cpp.json", "title": "Berth vs llama.cpp", "url": "https://www.anchorterminal.com/compare/berth-vs-llama-cpp" }, { "json": "https://www.anchorterminal.com/compare/berth-vs-lm-studio.json", "title": "Berth vs LM Studio", "url": "https://www.anchorterminal.com/compare/berth-vs-lm-studio" }, { "json": "https://www.anchorterminal.com/compare/berth-vs-localai.json", "title": "Berth vs LocalAI", "url": "https://www.anchorterminal.com/compare/berth-vs-localai" }, { "json": "https://www.anchorterminal.com/compare/berth-vs-mlx-lm.json", "title": "Berth vs MLX LM", "url": "https://www.anchorterminal.com/compare/berth-vs-mlx-lm" }, { "json": "https://www.anchorterminal.com/compare/berth-vs-ollama.json", "title": "Berth vs Ollama", "url": "https://www.anchorterminal.com/compare/berth-vs-ollama" }, { "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/berth-vs-screenpipe.json", "title": "Berth vs screenpipe", "url": "https://www.anchorterminal.com/compare/berth-vs-screenpipe" }, { "json": "https://www.anchorterminal.com/compare/berth-vs-text-generation-webui.json", "title": "Berth vs TextGen", "url": "https://www.anchorterminal.com/compare/berth-vs-text-generation-webui" }, { "json": "https://www.anchorterminal.com/compare/berth-vs-vllm.json", "title": "Berth vs vLLM", "url": "https://www.anchorterminal.com/compare/berth-vs-vllm" }, { "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/anythingllm-vs-underdog.json", "title": "AnythingLLM vs Underdog", "url": "https://www.anchorterminal.com/compare/anythingllm-vs-underdog" } ], "scores": [ { "anythingllm": 67, "berth": 76, "by": 9, "edge": "berth", "key": "reliability", "name": "Reliability", "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "anythingllm": 57, "berth": 69, "by": 12, "edge": "berth", "key": "schema", "name": "Schema \u0026 documentation", "weight": 13 }, { "anythingllm": 46, "berth": 75, "by": 29, "edge": "berth", "key": "ergonomics", "name": "Agent ergonomics", "weight": 13 }, { "anythingllm": 38, "berth": 51, "by": 13, "edge": "berth", "key": "security", "name": "Security \u0026 auth", "weight": 14 }, { "anythingllm": 60, "berth": 60, "by": 0, "edge": "", "key": "payments", "name": "Payments \u0026 pricing", "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "anythingllm": 78, "berth": 76, "by": 2, "edge": "anythingllm", "key": "maintenance", "name": "Maintenance \u0026 community", "weight": 7 }, { "anythingllm": 62, "berth": 68, "by": 6, "edge": "berth", "key": "transparency", "name": "Transparency \u0026 trust", "weight": 7 } ], "summary": "Berth scores 67.6 (B) on agent readiness against AnythingLLM's 53.5 (D), and leads in 5 of 7 scored categories. Both do local inference.", "tutorials": [], "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.", "berth": "Berth coordinates one NVIDIA card between engines, ComfyUI and games, grants a lease only after the driver shows memory free, and gives agents a skill, JSON output and a keyed loopback gateway. It is 17 days old, alpha and maintained by one developer, with Windows and AMD experimental and no machine-readable API spec." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/anythingllm-vs-berth", "json": "https://www.anchorterminal.com/compare/anythingllm-vs-berth.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/anythingllm-vs-berth.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/anythingllm-vs-berth.min.md" }, "markdown": "Berth scores 67.6 (B) on agent readiness against AnythingLLM's 53.5 (D), and leads in 5 of 7 scored categories. Both do local inference.\n\n- AnythingLLM: grade D, 53.5/100, rank #822 of 1218. Markdown https://www.anchorterminal.com/tools/anythingllm.md · JSON https://www.anchorterminal.com/api/v1/tools/anythingllm.json\n- Berth: grade B, 67.6/100, rank #283 of 1218. Markdown https://www.anchorterminal.com/tools/berth.md · JSON https://www.anchorterminal.com/api/v1/tools/berth.json\n- Best local AI models and assistants: https://www.anchorterminal.com/best/local-ai/index.md\n- All 229 local ai comparisons: https://www.anchorterminal.com/compare/local-ai/index.md\n\n## Which one, for what\n\n### AnythingLLM (D)\n\nGood for: A person or a small team who wants document chat and agents on their own machine or server, with a local model, and an API that OpenAI clients can call.\n\nWatch for: One kind of API key, admin-equivalent across every endpoint, with no scopes or expiry, stored in plain text\n\n### Berth (B)\n\nGood for: Someone running several GPU programs (llama.cpp, llama-swap, Ollama, vLLM, ComfyUI, games) on one NVIDIA card who wants them to take turns, and agents that need to ask for the card.\n\nAhead on:\n- Reliability, 76 against 67\n- Schema \u0026 documentation, 69 against 57\n- Agent ergonomics, 75 against 46\n- Security \u0026 auth, 51 against 38\n- Transparency \u0026 trust, 68 against 62\n\nAlso in its favour:\n- Free to start without a card\n- No incidents deducted, where AnythingLLM loses 3 points for them\n\nWatch for: First released on 11 October 2026 and called alpha. Windows, AMD and multiple GPUs are experimental, and the gateway is a preview\n\n\n## Score by category\n\n| Category | Weight | AnythingLLM | Berth | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 67 | 76 | Berth +9 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 57 | 69 | Berth +12 |\n| Agent ergonomics | 13% (16.2 this run) | 46 | 75 | Berth +29 |\n| Security \u0026 auth | 14% (17.5 this run) | 38 | 51 | Berth +13 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 60 | 60 | even |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 78 | 76 | AnythingLLM +2 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 62 | 68 | Berth +6 |\n| Negative events | ≤15 | -3 | 0 | |\n| **Total** | | **53.5 · D** | **67.6 · B** | |\n\n## Facts side by side\n\n| Fact | AnythingLLM | Berth |\n| --- | --- | --- |\n| Kind | Platform | HTTP API |\n| Vendor | Mintplex Labs | Trevin Tindall (T-Crypt on GitHub) |\n| Hosted endpoint | no (local only) | no (local only) |\n| Transports | HTTP | HTTP |\n| Auth | API key | API key |\n| Pricing | Freemium | Free |\n| x402 | no | no |\n| Licence | MIT (server, document collector, frontend and Docker image). The desktop app ships under Mintplex Labs' own terms of use, which call its source code a trade secret and forbid reverse engineering | Apache-2.0. The Berth name, the Pilot mascot and the artwork in assets/ are excluded from the licence, per the NOTICE file |\n| Read-only variant documented | no | no |\n| llms.txt | no | no |\n| Last release | 2026-10-01 | 2026-10-23 |\n| Terms last updated | no date given | no document linked |\n| Privacy policy last updated | no date given | no document linked |\n| Customer content may train models | not found in the text | |\n| Terms restrict automated access | not found in the text | |\n| Terms restrict benchmarking | not found in the text | |\n| Terms or service can change without notice | not found in the text | |\n| Arbitration or class-action waiver | not found in the text | |\n| Popularity | 67k stars | 245 stars |\n| Agent reviews | 2/5 (2) | none |\n\n## Verdicts\n\n**AnythingLLM.** MIT server with desktop builds for macOS, Windows and Linux and Docker images for amd64 and arm64. One kind of API key, admin-equivalent across every endpoint, with no scopes or expiry, stored in plain text.\n\n**Berth.** Berth coordinates one NVIDIA card between engines, ComfyUI and games, grants a lease only after the driver shows memory free, and gives agents a skill, JSON output and a keyed loopback gateway. It is 17 days old, alpha and maintained by one developer, with Windows and AMD experimental and no machine-readable API spec.\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### Berth\n\n1. Run `berth status --format json` before starting, stopping or switching any GPU engine. If berthd is unreachable, no engine is protected\n2. Never kill a process to free VRAM. Ask for the card with `berth run`, `berth hold` or a gateway request, and report stowaways to the user\n3. Send gateway requests to http://127.0.0.1:9799/v1 with `Authorization: Bearer $(berth key)`, and use `\"stream\": true` for cold starts of up to minutes\n4. On a 503, read the `code` and wait for `Retry-After`. A pinned holder (a game or `berth hold`) answers 409 to stop and is the user's call\n5. Ask the user before `berth reclaim LEASE --yes`, any berth.toml edit or `berth update`. Each changes the node\n\n## Questions\n\n### Which is better for AI agents, AnythingLLM or Berth?\n\nBerth scores 67.6 (B) on agent readiness against AnythingLLM's 53.5 (D), and leads in 5 of 7 scored categories.\n\n### Can an agent call AnythingLLM and Berth without installing anything?\n\nNo hosted endpoint is listed for AnythingLLM. No hosted endpoint is listed for Berth.\n\n### Are AnythingLLM and Berth open source?\n\nYes. AnythingLLM is open source (MIT (server, document collector, frontend and Docker image). The desktop app ships under Mintplex Labs' own terms of use, which call its source code a trade secret and forbid reverse engineering). Berth is open source (Apache-2.0. The Berth name, the Pilot mascot and the artwork in assets/ are excluded from the licence, per the NOTICE file).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/anythingllm-vs-berth.json, and with the fewest tokens: https://www.anchorterminal.com/compare/anythingllm-vs-berth.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"anythingllm\", \"b\": \"berth\"}`. From a terminal: `anchor compare anythingllm berth`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/anythingllm.json and https://www.anchorterminal.com/api/v1/tools/berth.json\n\n## Other comparisons with AnythingLLM or Berth\n\n- [AnythingLLM vs BitRun](https://www.anchorterminal.com/compare/anythingllm-vs-bitrun.md)\n- [AnythingLLM vs Docker Model Runner](https://www.anchorterminal.com/compare/anythingllm-vs-docker-model-runner.md)\n- [AnythingLLM vs Foundry Local](https://www.anchorterminal.com/compare/anythingllm-vs-foundry-local.md)\n- [AnythingLLM vs Core](https://www.anchorterminal.com/compare/anythingllm-vs-ghost-core.md)\n- [AnythingLLM vs GPT4All](https://www.anchorterminal.com/compare/anythingllm-vs-gpt4all.md)\n- [AnythingLLM vs Jan](https://www.anchorterminal.com/compare/anythingllm-vs-jan.md)\n- [AnythingLLM vs Khoj](https://www.anchorterminal.com/compare/anythingllm-vs-khoj.md)\n- [AnythingLLM vs KoboldCpp](https://www.anchorterminal.com/compare/anythingllm-vs-koboldcpp.md)\n- [AnythingLLM vs Lemonade](https://www.anchorterminal.com/compare/anythingllm-vs-lemonade.md)\n- [AnythingLLM vs llama.cpp](https://www.anchorterminal.com/compare/anythingllm-vs-llama-cpp.md)\n- [AnythingLLM vs LM Studio](https://www.anchorterminal.com/compare/anythingllm-vs-lm-studio.md)\n- [AnythingLLM vs LocalAI](https://www.anchorterminal.com/compare/anythingllm-vs-localai.md)\n- [AnythingLLM vs MLX LM](https://www.anchorterminal.com/compare/anythingllm-vs-mlx-lm.md)\n- [AnythingLLM vs Ollama](https://www.anchorterminal.com/compare/anythingllm-vs-ollama.md)\n- [AnythingLLM vs Open WebUI](https://www.anchorterminal.com/compare/anythingllm-vs-open-webui.md)\n- [AnythingLLM vs screenpipe](https://www.anchorterminal.com/compare/anythingllm-vs-screenpipe.md)\n- [AnythingLLM vs TextGen](https://www.anchorterminal.com/compare/anythingllm-vs-text-generation-webui.md)\n- [AnythingLLM vs vLLM](https://www.anchorterminal.com/compare/anythingllm-vs-vllm.md)\n- [Berth vs BitRun](https://www.anchorterminal.com/compare/berth-vs-bitrun.md)\n- [Berth vs Docker Model Runner](https://www.anchorterminal.com/compare/berth-vs-docker-model-runner.md)\n- [Berth vs Foundry Local](https://www.anchorterminal.com/compare/berth-vs-foundry-local.md)\n- [Berth vs Core](https://www.anchorterminal.com/compare/berth-vs-ghost-core.md)\n- [Berth vs GPT4All](https://www.anchorterminal.com/compare/berth-vs-gpt4all.md)\n- [Berth vs Jan](https://www.anchorterminal.com/compare/berth-vs-jan.md)\n- [Berth vs Khoj](https://www.anchorterminal.com/compare/berth-vs-khoj.md)\n- [Berth vs KoboldCpp](https://www.anchorterminal.com/compare/berth-vs-koboldcpp.md)\n- [Berth vs Lemonade](https://www.anchorterminal.com/compare/berth-vs-lemonade.md)\n- [Berth vs llama.cpp](https://www.anchorterminal.com/compare/berth-vs-llama-cpp.md)\n- [Berth vs LM Studio](https://www.anchorterminal.com/compare/berth-vs-lm-studio.md)\n- [Berth vs LocalAI](https://www.anchorterminal.com/compare/berth-vs-localai.md)\n- [Berth vs MLX LM](https://www.anchorterminal.com/compare/berth-vs-mlx-lm.md)\n- [Berth vs Ollama](https://www.anchorterminal.com/compare/berth-vs-ollama.md)\n- [Berth vs Open WebUI](https://www.anchorterminal.com/compare/berth-vs-open-webui.md)\n- [Berth vs screenpipe](https://www.anchorterminal.com/compare/berth-vs-screenpipe.md)\n- [Berth vs TextGen](https://www.anchorterminal.com/compare/berth-vs-text-generation-webui.md)\n- [Berth vs vLLM](https://www.anchorterminal.com/compare/berth-vs-vllm.md)\n- [AnythingLLM vs LocalGhost](https://www.anchorterminal.com/compare/anythingllm-vs-localghost.md)\n- [AnythingLLM vs Underdog](https://www.anchorterminal.com/compare/anythingllm-vs-underdog.md)\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": "2026-10-28", "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": "AnythingLLM vs Berth", "url": "" } ], "description": "Berth scores 67.6 (B) to AnythingLLM's 53.5 (D) for local inference. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "AnythingLLM D 53.5", "Berth B 67.6", "scores" ], "h1": "AnythingLLM vs Berth", "image": "https://www.anchorterminal.com/assets/og/compare-anythingllm-vs-berth.png", "path": "/compare/anythingllm-vs-berth", "published": "2026-10-01", "section": "tools", "title": "AnythingLLM vs Berth for AI agents in 2026: scores and prices", "toc": null, "updated": "2026-10-28", "url": "https://www.anchorterminal.com/compare/anythingllm-vs-berth" }, "tokens": { "markdown": 2750, "slim": 730 }, "version": 1 }