{ "data": { "a": { "slug": "learnharness", "name": "LearnHarness", "vendor": "Amos Blomqvist", "vendorUrl": "https://learnharness.ai", "kind": "harness", "category": "personal-assistants", "summary": "LearnHarness is an open-source desktop app for macOS, Windows and Linux that tests what a learner already understands, plans a route to a goal, teaches step by step and keeps a local knowledge graph, using the learner's own model keys.", "url": "https://www.anchorterminal.com/tools/learnharness", "markdownUrl": "https://www.anchorterminal.com/tools/learnharness.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/learnharness.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/learnharness.json", "repo": "https://github.com/amosblomqvist/learnharness", "license": "AGPL-3.0-only", "transports": [], "packages": [], "auth": "none", "authNotes": "No LearnHarness account. The learner adds keys for model providers (OpenAI, Anthropic, Google, DeepSeek, OpenRouter and others), or one OpenAI-compatible endpoint, or signs in with ChatGPT, GitHub Copilot or Grok, or connects an installed Claude Code CLI. Deepgram (dictation) and Tavily or Brave (web search) take separate keys.", "pricing": "free", "pricingNotes": "Free under AGPL-3.0 with nothing to buy. Model usage is billed by the provider the learner configures, or counts against a ChatGPT, Copilot or Grok plan, and the app shows a live cost meter. The README says any future charge would be for convenience such as managed keys or hosting.", "priceSummary": "Free · OSS", "where": "local", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the README, the website, the skill or the source files read (checked 2026-10-30).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 4204, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-30" }, "docsUrl": "https://github.com/amosblomqvist/learnharness/blob/main/docs/development.md", "capabilities": [ "assistant.memory", "assistant.self-hosted", "memory.graph", "memory.read", "web.search" ], "tags": [ "open-source", "local", "free", "no-card", "agpl", "desktop-app", "macos", "windows", "linux", "agent-skill", "typescript", "new" ], "lastRelease": "2026-10-29", "graded": true, "anchor": { "graded": true, "score": 59.3, "grade": "C", "agentReady": false, "rank": 648, "ranked": true, "rankOf": 1239, "categoryRank": 9, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 60, "maintenance": 71, "payments": 60, "reliability": 56, "schema": 63, "security": 52, "transparency": 60 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-30" }, "negative": 0, "verdict": "The in-app agent reads files but cannot change them or run commands, and a bundled skill gives other agents a documented read-only view of sessions and the knowledge graph. The project is 14 days old at 0.4.0, its file reads reach the whole home directory without approval, and it has no security policy.", "bestFor": "A tutor for one learner that keeps a local record of sessions and a graph of propositions and reasoning chains.", "strengths": [ "AGPL-3.0 source, with installers for macOS (signed and notarised), Windows and Linux on GitHub Releases", "A bundled agent skill with Python readers that print sessions and graph data as text or JSON and write nothing", "The in-app agent has no shell, write or send tool, and Claude Code runs with its built-in tools switched off", "The desktop server binds 127.0.0.1 and requires a per-launch 64-character secret header", "Nine releases from 17 to 29 October 2026, with CI running typecheck, tests, lint and three-OS builds on main" ], "weaknesses": [ "The read, ls, find and grep tools resolve against the home directory with no allow list, and their output goes to the model provider", "Provider keys and ChatGPT sign-in credentials are stored as plaintext JSON at mode 0600, not in the OS keychain", "No SECURITY.md, security.txt, privacy policy or terms. learnharness.ai answers 404 for each", "0.x software created on 16 October 2026, with 265 open issues and pull requests and none of the 39 newest pull requests merged", "No outside agent can start or drive a lesson. The local HTTP API is for the app's own window" ], "agentNotes": [ "Use the bundled skill (`skills/learnharness/SKILL.md`) to read a learner's record. It needs Python 3.10 or later and writes nothing", "Pass `--format json` before the subcommand, for example `python3 -B scripts/graph.py --format json propositions`", "Treat stored answer keys and teacher prose as model-authored. A proposition in the graph is not evidence the learner understood it", "Do not read `auth.json`, which sits one folder above the data folder and holds provider keys in plain text", "Close the app or re-read when a stable snapshot matters. The readers do not lock files while the app writes" ], "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": 59.3 } ], "editorialScores": { "ergonomics": 60, "maintenance": 71, "payments": 60, "reliability": 56, "schema": 63, "security": 52, "transparency": 64 }, "provenanceScore": 56, "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 } }, "letme": { "capability": "https://letme.dev/assistant.memory", "tool": "https://letme.dev/learnharness" }, "area": "frameworks", "provenance": { "legalEntity": "No legal entity found. Copyright Amos Blomqvist", "domain": "learnharness.ai", "domainRegistered": "2026-10-09", "endpointOnVendorDomain": null, "terms": "https://raw.githubusercontent.com/amosblomqvist/learnharness/main/LICENSE", "privacy": "", "statusPage": "", "changelog": "https://github.com/amosblomqvist/learnharness/releases", "securityTxt": "none", "checked": "2026-10-30", "notes": [ "The footer of learnharness.ai reads © 2026 Amos Blomqvist, and `package.json` names Amos Blomqvist as author. No company is named.", "learnharness.ai/privacy, /terms, /llms.txt and /.well-known/security.txt return 404, and the repository has no SECURITY.md, so the AGPL-3.0 licence stands in for terms.", "RDAP (Identity Digital) gives learnharness.ai a registration date of 2026-10-09.", "The app runs on the learner's machine. Its only vendor-side service seen is the website, which a release workflow updates. Updates come from GitHub Releases.", "There is no CHANGELOG file. Each GitHub release carries its notes." ], "score": 56 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/learnharness.json" }, "answer": "OpenClaw scores 67.4 (B) on agent readiness against LearnHarness's 59.3 (C), and leads in 6 of 7 scored categories.", "b": { "slug": "openclaw", "name": "OpenClaw", "vendor": "OpenClaw Foundation", "vendorUrl": "https://openclaw.ai", "kind": "harness", "category": "personal-assistants", "summary": "Open-source personal AI assistant that runs as a Gateway on the owner's own computer and answers in WhatsApp, Telegram, Slack, iMessage and other chat apps, with desktop and mobile apps. The OpenClaw Foundation maintains it under the MIT licence.", "url": "https://www.anchorterminal.com/tools/openclaw", "markdownUrl": "https://www.anchorterminal.com/tools/openclaw.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/openclaw.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/openclaw.json", "repo": "https://github.com/openclaw/openclaw", "license": "MIT", "transports": [], "packages": [ { "registry": "npm", "name": "openclaw" }, { "registry": "oci", "name": "ghcr.io/openclaw/openclaw" } ], "auth": "mixed", "authNotes": "No OpenClaw account exists. The owner supplies model provider API keys or signs in with a ChatGPT or Claude subscription, and adds a bot token, QR pairing or OAuth grant for each channel and account. Clients reach the Gateway with a token or password (`gateway.auth.mode`), or through a trusted proxy, and paired devices hold their own tokens. Operator scopes (`operator.read`, `operator.write`, `operator.admin` and others) apply to paired clients, but a shared-secret bearer token on `POST /tools/invoke` gets full operator access whatever scopes the caller sends (https://docs.openclaw.ai/gateway/tools-invoke-http-api; https://docs.openclaw.ai/gateway/operator-scopes).", "pricing": "free", "pricingNotes": "Free under the MIT licence, with no paid tier, hosted service or subscription. The owner pays the model provider for usage, or nothing with a local model, plus any search, speech or media API they configure (https://github.com/openclaw/openclaw; https://docs.openclaw.ai/reference/api-usage-costs).", "priceSummary": "Free · OSS", "where": "local", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the docs or the source (checked 2026-10-12).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 391800, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-12" }, "docsUrl": "https://docs.openclaw.ai", "llmsTxt": "https://docs.openclaw.ai/llms.txt", "capabilities": [ "assistant.proactive", "assistant.messaging", "assistant.accounts", "assistant.memory", "assistant.self-hosted", "agent.mcp-client" ], "tags": [ "open-source", "self-hosted", "local", "free", "foundation", "llms-txt", "docker", "typescript" ], "lastRelease": "2026-10-12", "graded": true, "anchor": { "graded": true, "score": 67.4, "grade": "B", "agentReady": false, "rank": 288, "ranked": true, "rankOf": 1239, "categoryRank": 4, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 77, "maintenance": 86, "payments": 60, "reliability": 75, "schema": 84, "security": 74, "transparency": 72 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-12" }, "negative": -8, "negativeNotes": [ "2026-09-11. The project's security page and GitHub advisory list show 722 advisories published between 31 January and 11 September 2026, 14 critical, 249 high, 390 medium and 69 low, 39 with a CVE. The largest groups are Gateway auth and scopes (182) and exec, sandbox and approvals (160). The project says all 14 critical issues are fixed and disclosed and reports no known compromise of its infrastructure. Fixed and published, which decays the deduction, but the volume and the two areas affected bear directly on an assistant that holds its owner's accounts, -8. https://openclaw.ai/security; https://github.com/openclaw/openclaw/security/advisories" ], "verdict": "Self-hosted under the MIT licence, with state, memory and credentials kept on the owner's machine and no paid tier. A fresh install runs tools on the host with full access, no approval prompt and no sandbox, and the project has published 722 security advisories since January 2026, 14 of them critical.", "bestFor": "A technical owner who wants an assistant on their own machine across many chat apps, with their choice of model and files they can read and delete.", "strengths": [ "State, memory and credentials stay under `~/.openclaw` on the owner's machine, and the project sells no hosted service or paid tier", "Memory is plain Markdown files in the workspace, and `openclaw memory forget` removes what a named session contributed", "Four session permission modes (`read-only`, `guarded`, `workspace`, `full`), exec approvals and an optional Docker or Podman tool sandbox", "Unknown direct-message senders get a pairing code by default and are ignored until the owner approves them", "Telemetry is documented field by field. Feature statistics are opt-in and `update.checkOnStart: false` stops every automatic request", "13 stable releases in the 90 days to 12 October 2026, with npm provenance attestations on the published package" ], "weaknesses": [ "Without configuration the default is full access. Host exec runs with no approval and sandboxing is off", "Agents with the message tool can send across conversations and channel providers by default, with no approval step for a send", "722 advisories published between 31 January and 11 September 2026, 14 critical and 249 high, per the project's own security page", "Credentials sit in files and SQLite databases under `~/.openclaw`, protected by file permissions unless the owner configures a secret provider", "The project's own maturity scorecard rates the product at 68 per cent, labelled Alpha", "The privacy policy covers the mobile apps, the Chrome extension and website analytics, and says it does not cover the Gateway" ], "agentNotes": [ "Set a session permission mode of `guarded` or `workspace`, or `tools.exec.mode`, before connecting mail. The default runs host commands without approval", "Turn on `agents.defaults.sandbox` for any agent that reads mail, web pages or attachments. Sandboxing is off by default", "Set `tools.message.crossContext.allowAcrossProviders` and `allowWithinProvider` to `false` to confine sends to the current conversation", "Route incoming mail to a restricted reader agent, as the IMAP and Gmail guides show, and deny `gateway`, `cron`, `sessions_spawn` and `sessions_send` for it", "Run `openclaw security audit` after setup, and treat the Gateway token as an owner credential. `POST /tools/invoke` accepts it with full operator access" ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 4, "avgRating": 2.5, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "B", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 67.4 } ], "editorialScores": { "ergonomics": 77, "maintenance": 86, "payments": 60, "reliability": 75, "schema": 84, "security": 74, "transparency": 82 }, "provenanceScore": 61, "checked": { "categories": { "ergonomics": "2026-10-12", "maintenance": "2026-10-12", "payments": "2026-10-12", "reliability": "2026-10-12", "schema": "2026-10-12", "security": "2026-10-12", "transparency": "2026-10-12" }, "last": "2026-10-12", "lastMoved": "2026-10-27", "oldest": "2026-10-12", "stale": false, "staleAfterDays": 90 } }, "connect": { "install": "curl -fsSL https://openclaw.ai/install.sh | bash # or: npm install -g openclaw@latest --allow-scripts=openclaw \u0026\u0026 openclaw onboard --install-daemon" }, "letme": { "capability": "https://letme.dev/assistant.proactive", "tool": "https://letme.dev/openclaw" }, "area": "frameworks", "provenance": { "legalEntity": "OpenClaw Foundation", "domain": "openclaw.ai", "domainRegistered": "", "endpointOnVendorDomain": null, "terms": "", "privacy": "", "statusPage": "", "changelog": "https://github.com/openclaw/openclaw/releases", "securityTxt": "none", "checked": "2026-10-12", "notes": [ "The README and the `LICENSE` file name the OpenClaw Foundation, described as an independent 501(c)(3). Its site at www.openclaw.org gave no address, registration number, board or filings on the page we read.", "No terms of service were found for the software, so the MIT licence stands in.", "The privacy policy at openclaw.ai/privacy, effective 2 August 2026, covers the iOS and Android apps, the Chrome extension and website analytics, and says it does not cover the gateway, server or AI provider the owner connects. It is not linked here for that reason.", "openclaw.ai/.well-known/security.txt returned 404 on 12 October 2026. The repository has a SECURITY.md with private GitHub reporting and security@openclaw.ai.", "There is no hosted endpoint. A Gateway answers on its owner's own host. The daily update check goes to telemetry.openclaw.ai.", "The domain registration date was not looked up." ], "score": 61 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/openclaw.json", "live": { "slug": "openclaw", "versions": [ { "registry": "github", "name": "openclaw/openclaw", "version": "v2026.10.9", "released": "2026-10-29", "seenAt": "2026-10-30T14:34:15.592709394Z" }, { "registry": "npm", "name": "openclaw", "version": "2026.10.9", "seenAt": "2026-10-30T14:34:15.501965894Z" } ], "githubStars": 393442, "npmWeekly": 3440912, "securityTxt": { "url": "https://openclaw.ai/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-30T15:38:16.569722804Z" }, "llmsTxt": { "url": "https://docs.openclaw.ai/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-30T15:08:20.721783358Z" }, "domain": { "domain": "openclaw.ai", "registered": "2026-01-29", "source": "https://rdap.identitydigital.services/rdap/domain/openclaw.ai", "checkedAt": "2026-10-25T14:06:17.587036217Z" }, "pages": [ { "url": "https://raw.githubusercontent.com/openclaw/openclaw/main/CHANGELOG/2026.9.6.md", "kind": "deprecations", "status": 304, "checkedAt": "2026-10-30T05:49:53.961467955Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "ad87c9240408" } ], "github": { "repo": "openclaw/openclaw", "checkedAt": "2026-10-26T07:52:44.694999431Z", "stars": 393085, "archived": false, "issuesEnabled": true, "pushedAt": "2026-10-26T07:52:36Z", "openIssues": 5062, "openPRs": 2781, "issuesOpened90d": 16258, "issuesClosed90d": 15154, "prsMerged90d": 43501, "ci": { "branch": "main", "runs": 50, "success": 13, "failure": 0, "other": 37, "latest": "skipped", "latestAt": "2026-10-26T07:52:03Z" }, "advisories": [ { "ghsa": "GHSA-xx9p-hc9w-6p5h", "severity": "medium", "published": "2026-09-11T00:58:59Z" }, { "ghsa": "GHSA-xw9g-7xvv-gcjc", "severity": "medium", "published": "2026-09-11T00:58:58Z" }, { "ghsa": "GHSA-xw48-j584-r73h", "severity": "medium", "published": "2026-09-11T00:58:56Z" }, { "ghsa": "GHSA-xvwp-wmh2-fq48", "severity": "medium", "published": "2026-09-11T00:58:55Z" }, { "ghsa": "GHSA-wwx7-573h-pqwc", "severity": "high", "published": "2026-09-11T00:58:53Z" }, { "ghsa": "GHSA-wwcw-jfpp-gpxw", "severity": "high", "published": "2026-09-11T00:58:52Z" }, { "ghsa": "GHSA-wjfv-5qch-m5vj", "severity": "low", "published": "2026-09-11T00:58:50Z" }, { "ghsa": "GHSA-w5x7-c87m-3jpc", "severity": "medium", "published": "2026-09-11T00:58:49Z" }, { "ghsa": "GHSA-vhpg-cq3w-v8p9", "severity": "medium", "published": "2026-09-11T00:58:47Z" }, { "ghsa": "GHSA-v7hh-7676-rg67", "severity": "medium", "published": "2026-09-11T00:58:46Z" }, { "ghsa": "GHSA-rx8p-qcpv-c7vr", "severity": "medium", "published": "2026-09-11T00:58:45Z" }, { "ghsa": "GHSA-rrxp-5mx8-mvhh", "severity": "high", "published": "2026-09-11T00:58:43Z" }, { "ghsa": "GHSA-rm45-4jx5-2927", "severity": "medium", "published": "2026-09-11T00:58:42Z" }, { "ghsa": "GHSA-rgjw-6v73-php6", "severity": "medium", "published": "2026-09-11T00:58:41Z" }, { "ghsa": "GHSA-r88x-r7jj-f2cf", "severity": "high", "published": "2026-09-11T00:58:39Z" }, { "ghsa": "GHSA-qw7m-h363-33qw", "severity": "high", "published": "2026-09-11T00:58:38Z" }, { "ghsa": "GHSA-qgj5-6x35-9g6f", "severity": "high", "published": "2026-09-11T00:58:37Z" }, { "ghsa": "GHSA-q9j5-4xr6-xqqw", "severity": "medium", "published": "2026-09-11T00:58:35Z" }, { "ghsa": "GHSA-pjjr-5qhr-5w6r", "severity": "high", "published": "2026-09-11T00:58:34Z" }, { "ghsa": "GHSA-pfrw-r5vr-89hw", "severity": "medium", "published": "2026-09-11T00:58:33Z" }, { "ghsa": "GHSA-p5g8-m35v-7m82", "severity": "high", "published": "2026-09-11T00:58:31Z" }, { "ghsa": "GHSA-p3h6-v2h4-36q2", "severity": "high", "published": "2026-09-11T00:58:30Z" }, { "ghsa": "GHSA-mm7m-wcgh-8mfq", "severity": "medium", "published": "2026-09-11T00:58:28Z" }, { "ghsa": "GHSA-m78m-7h3q-q938", "severity": "medium", "published": "2026-09-11T00:58:27Z" }, { "ghsa": "GHSA-jjpc-p3xf-8g7p", "severity": "high", "published": "2026-09-11T00:58:25Z" }, { "ghsa": "GHSA-jghr-xp78-995p", "severity": "high", "published": "2026-09-11T00:58:23Z" }, { "ghsa": "GHSA-j4mm-p864-vx7f", "severity": "medium", "published": "2026-09-11T00:58:22Z" }, { "ghsa": "GHSA-hpg5-cq3m-phqp", "severity": "high", "published": "2026-09-11T00:58:20Z" }, { "ghsa": "GHSA-hgv5-f2r3-6v9r", "severity": "high", "published": "2026-09-11T00:58:19Z" }, { "ghsa": "GHSA-h9jh-75j7-7hhx", "severity": "medium", "published": "2026-09-11T00:58:17Z" }, { "ghsa": "GHSA-h2qg-fxpv-82v6", "severity": "medium", "published": "2026-09-11T00:58:16Z" }, { "ghsa": "GHSA-ghpx-6xwq-2w4w", "severity": "high", "published": "2026-09-11T00:58:15Z" }, { "ghsa": "GHSA-gcm4-fmcp-2f9r", "severity": "medium", "published": "2026-09-11T00:58:13Z" }, { "ghsa": "GHSA-g7fw-3gjp-g5hf", "severity": "medium", "published": "2026-09-11T00:58:12Z" }, { "ghsa": "GHSA-g697-vv6h-r8hv", "severity": "medium", "published": "2026-09-11T00:58:10Z" }, { "ghsa": "GHSA-g24w-m94m-59qc", "severity": "low", "published": "2026-09-11T00:58:09Z" }, { "ghsa": "GHSA-fw6q-2frm-jxxr", "severity": "medium", "published": "2026-09-11T00:58:07Z" }, { "ghsa": "GHSA-fvxr-9g24-x3hf", "severity": "medium", "published": "2026-09-11T00:58:06Z" }, { "ghsa": "GHSA-fphf-69cp-h5xw", "severity": "medium", "published": "2026-09-11T00:58:04Z" }, { "ghsa": "GHSA-fgwg-c3wv-8f45", "severity": "medium", "published": "2026-09-11T00:58:03Z" }, { "ghsa": "GHSA-crg9-c62w-j2p5", "severity": "high", "published": "2026-09-11T00:58:01Z" }, { "ghsa": "GHSA-chr6-w4m5-57fv", "severity": "low", "published": "2026-09-11T00:58:00Z" }, { "ghsa": "GHSA-cf95-m4jv-59rc", "severity": "high", "published": "2026-09-11T00:57:58Z" }, { "ghsa": "GHSA-9x88-f7rh-4c83", "severity": "high", "published": "2026-09-11T00:57:57Z" }, { "ghsa": "GHSA-9p6m-2872-xm7x", "severity": "high", "published": "2026-09-11T00:57:55Z" }, { "ghsa": "GHSA-9m4p-cqp4-jppq", "severity": "high", "published": "2026-09-11T00:57:53Z" }, { "ghsa": "GHSA-9f86-pvv5-rxfw", "severity": "high", "published": "2026-09-11T00:57:52Z" }, { "ghsa": "GHSA-8xxh-v4vc-qvm4", "severity": "high", "published": "2026-09-11T00:57:50Z" }, { "ghsa": "GHSA-89cw-7452-cfrf", "severity": "medium", "published": "2026-09-11T00:57:49Z" }, { "ghsa": "GHSA-8938-r7c6-54vq", "severity": "medium", "published": "2026-09-11T00:57:47Z" }, { "ghsa": "GHSA-7jfq-rmfm-29wp", "severity": "medium", "published": "2026-09-11T00:57:46Z" }, { "ghsa": "GHSA-7cp7-87pj-p32v", "severity": "high", "published": "2026-09-11T00:57:44Z" }, { "ghsa": "GHSA-74gc-hg2m-79p9", "severity": "high", "published": "2026-09-11T00:57:42Z" }, { "ghsa": "GHSA-72p2-79fg-pvph", "severity": "medium", "published": "2026-09-11T00:57:41Z" }, { "ghsa": "GHSA-6xpv-wwr5-265h", "severity": "low", "published": "2026-09-11T00:57:39Z" }, { "ghsa": "GHSA-66hm-hxq3-5pfh", "severity": "medium", "published": 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"published": "2026-06-30T00:36:15Z" }, { "ghsa": "GHSA-jhfx-v2j8-x3m6", "severity": "high", "published": "2026-06-30T00:36:01Z" } ] }, "updatedAt": "2026-10-30T15:38:16.569722804Z" } }, "facts": [ { "a": "Agent harness", "b": "Agent harness", "name": "Kind" }, { "a": "Amos Blomqvist", "b": "OpenClaw Foundation", "name": "Vendor" }, { "a": "no (local only)", "b": "no (local only)", "name": "Hosted endpoint" }, { "a": "", "b": "", "name": "Transports" }, { "a": "None", "b": "OAuth or key", "name": "Auth" }, { "a": "Free", "b": "Free", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "AGPL-3.0-only", "b": "MIT", "name": "Licence" }, { "a": "no", "b": "yes", "name": "Read-only variant documented" }, { "a": "no", "b": "yes", "name": "llms.txt" }, { "a": "2026-10-29", "b": "2026-10-12", "name": "Last release" }, { "a": "no date given", "b": "no document linked", "name": "Terms last updated" }, { "a": "no document linked", "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": "4.2k stars", "b": "392k stars", "name": "Popularity" }, { "a": "none", "b": "2.5/5 (4)", "name": "Agent reviews" } ], "faq": [ { "answer": "OpenClaw scores 67.4 (B) on agent readiness against LearnHarness's 59.3 (C), and leads in 6 of 7 scored categories.", "question": "Which is better for AI agents, LearnHarness or OpenClaw?" }, { "answer": "Yes. LearnHarness is open source (AGPL-3.0-only). OpenClaw is open source (MIT).", "question": "Are LearnHarness and OpenClaw open source?" } ], "goodFor": [ { "aheadOn": null, "also": [ "No key needed to call it", "Free to start without a card", "No incidents deducted, where OpenClaw loses 8 points for them" ], "goodFor": "A tutor for one learner that keeps a local record of sessions and a graph of propositions and reasoning chains.", "slug": "learnharness", "watchFor": "The read, ls, find and grep tools resolve against the home directory with no allow list, and their output goes to the model provider" }, { "aheadOn": [ "Reliability, 75 against 56", "Schema \u0026 documentation, 84 against 63", "Agent ergonomics, 77 against 60", "Security \u0026 auth, 74 against 52", "Maintenance \u0026 community, 86 against 71", "Transparency \u0026 trust, 72 against 60" ], "also": null, "goodFor": "A technical owner who wants an assistant on their own machine across many chat apps, with their choice of model and files they can read and delete.", "slug": "openclaw", "watchFor": "Without configuration the default is full access. Host exec runs with no approval and sandboxing is off" } ], "job": { "capability": "assistant.memory", "name": "Assistants that remember you" }, "others": [ { "json": "https://www.anchorterminal.com/compare/asaply-vs-openclaw.json", "title": "asaply vs OpenClaw", "url": "https://www.anchorterminal.com/compare/asaply-vs-openclaw" }, { "json": "https://www.anchorterminal.com/compare/asmi-vs-openclaw.json", "title": "Asmi vs OpenClaw", "url": "https://www.anchorterminal.com/compare/asmi-vs-openclaw" }, { "json": "https://www.anchorterminal.com/compare/boba-vs-openclaw.json", "title": "Boba vs OpenClaw", "url": "https://www.anchorterminal.com/compare/boba-vs-openclaw" }, { "json": "https://www.anchorterminal.com/compare/brea-vs-openclaw.json", "title": "Brea vs OpenClaw", "url": "https://www.anchorterminal.com/compare/brea-vs-openclaw" }, { "json": "https://www.anchorterminal.com/compare/del-vs-openclaw.json", "title": "Del vs OpenClaw", "url": 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"https://www.anchorterminal.com/compare/gemini-spark-vs-learnharness.json", "title": "Gemini Spark vs LearnHarness", "url": "https://www.anchorterminal.com/compare/gemini-spark-vs-learnharness" }, { "json": "https://www.anchorterminal.com/compare/grok-bot-vs-learnharness.json", "title": "Grok Bot vs LearnHarness", "url": "https://www.anchorterminal.com/compare/grok-bot-vs-learnharness" }, { "json": "https://www.anchorterminal.com/compare/hark-pro-vs-learnharness.json", "title": "Hark Pro vs LearnHarness", "url": "https://www.anchorterminal.com/compare/hark-pro-vs-learnharness" }, { "json": "https://www.anchorterminal.com/compare/hark-pro-vs-openclaw.json", "title": "Hark Pro vs OpenClaw", "url": "https://www.anchorterminal.com/compare/hark-pro-vs-openclaw" }, { "json": "https://www.anchorterminal.com/compare/haven-vs-learnharness.json", "title": "Haven vs LearnHarness", "url": "https://www.anchorterminal.com/compare/haven-vs-learnharness" }, { "json": "https://www.anchorterminal.com/compare/hermes-agent-vs-learnharness.json", "title": "Hermes Agent vs LearnHarness", "url": "https://www.anchorterminal.com/compare/hermes-agent-vs-learnharness" }, { "json": "https://www.anchorterminal.com/compare/hirealpha-vs-learnharness.json", "title": "HireAlpha vs LearnHarness", "url": "https://www.anchorterminal.com/compare/hirealpha-vs-learnharness" }, { "json": "https://www.anchorterminal.com/compare/instinct-vs-learnharness.json", "title": "Instinct vs LearnHarness", "url": "https://www.anchorterminal.com/compare/instinct-vs-learnharness" }, { "json": "https://www.anchorterminal.com/compare/ironclaw-vs-learnharness.json", "title": "IronClaw vs LearnHarness", "url": "https://www.anchorterminal.com/compare/ironclaw-vs-learnharness" }, { "json": "https://www.anchorterminal.com/compare/learnharness-vs-leon.json", "title": "LearnHarness vs Leon", "url": "https://www.anchorterminal.com/compare/learnharness-vs-leon" }, { "json": "https://www.anchorterminal.com/compare/learnharness-vs-lindy.json", "title": "LearnHarness vs Lindy", "url": "https://www.anchorterminal.com/compare/learnharness-vs-lindy" }, { "json": "https://www.anchorterminal.com/compare/learnharness-vs-lobby-os.json", "title": "LearnHarness vs Lobby", "url": "https://www.anchorterminal.com/compare/learnharness-vs-lobby-os" }, { "json": "https://www.anchorterminal.com/compare/learnharness-vs-nanobot.json", "title": "LearnHarness vs nanobot", "url": "https://www.anchorterminal.com/compare/learnharness-vs-nanobot" }, { "json": "https://www.anchorterminal.com/compare/learnharness-vs-nanoclaw.json", "title": "LearnHarness vs NanoClaw", "url": "https://www.anchorterminal.com/compare/learnharness-vs-nanoclaw" }, { "json": "https://www.anchorterminal.com/compare/learnharness-vs-natura.json", "title": "LearnHarness vs Natura tinyNature", "url": "https://www.anchorterminal.com/compare/learnharness-vs-natura" }, { "json": "https://www.anchorterminal.com/compare/learnharness-vs-openai-dots.json", "title": "LearnHarness vs Dots", "url": "https://www.anchorterminal.com/compare/learnharness-vs-openai-dots" }, { "json": "https://www.anchorterminal.com/compare/learnharness-vs-openduet.json", "title": "LearnHarness vs OpenDuet", "url": "https://www.anchorterminal.com/compare/learnharness-vs-openduet" }, { "json": "https://www.anchorterminal.com/compare/learnharness-vs-openinstinct.json", "title": "LearnHarness vs OpenInstinct", "url": "https://www.anchorterminal.com/compare/learnharness-vs-openinstinct" }, { "json": "https://www.anchorterminal.com/compare/learnharness-vs-orbits.json", "title": "LearnHarness vs Orbits", "url": "https://www.anchorterminal.com/compare/learnharness-vs-orbits" }, { "json": "https://www.anchorterminal.com/compare/learnharness-vs-orchid-ai.json", "title": "LearnHarness vs Orchid", "url": "https://www.anchorterminal.com/compare/learnharness-vs-orchid-ai" }, { "json": "https://www.anchorterminal.com/compare/learnharness-vs-pally.json", "title": "LearnHarness vs Pally", "url": "https://www.anchorterminal.com/compare/learnharness-vs-pally" }, { "json": "https://www.anchorterminal.com/compare/learnharness-vs-picoclaw.json", "title": "LearnHarness vs PicoClaw", "url": "https://www.anchorterminal.com/compare/learnharness-vs-picoclaw" }, { "json": "https://www.anchorterminal.com/compare/learnharness-vs-poke.json", "title": "LearnHarness vs Poke", "url": "https://www.anchorterminal.com/compare/learnharness-vs-poke" }, { "json": "https://www.anchorterminal.com/compare/learnharness-vs-qwenpaw.json", "title": "LearnHarness vs QwenPaw", "url": "https://www.anchorterminal.com/compare/learnharness-vs-qwenpaw" }, { "json": "https://www.anchorterminal.com/compare/learnharness-vs-szn.json", "title": "LearnHarness vs szn", "url": "https://www.anchorterminal.com/compare/learnharness-vs-szn" }, { "json": "https://www.anchorterminal.com/compare/learnharness-vs-tab-bot.json", "title": "LearnHarness vs Tab", "url": "https://www.anchorterminal.com/compare/learnharness-vs-tab-bot" }, { "json": "https://www.anchorterminal.com/compare/learnharness-vs-talorys.json", "title": "LearnHarness vs Talorys", "url": "https://www.anchorterminal.com/compare/learnharness-vs-talorys" }, { "json": "https://www.anchorterminal.com/compare/learnharness-vs-tasker-ai.json", "title": "LearnHarness vs Tasker AI", "url": "https://www.anchorterminal.com/compare/learnharness-vs-tasker-ai" }, { "json": "https://www.anchorterminal.com/compare/learnharness-vs-tomo.json", "title": "LearnHarness vs Tomo", "url": "https://www.anchorterminal.com/compare/learnharness-vs-tomo" }, { "json": "https://www.anchorterminal.com/compare/learnharness-vs-town.json", "title": "LearnHarness vs Town", "url": "https://www.anchorterminal.com/compare/learnharness-vs-town" }, { "json": "https://www.anchorterminal.com/compare/learnharness-vs-wajo.json", "title": "LearnHarness vs Wajo (Fo)", "url": "https://www.anchorterminal.com/compare/learnharness-vs-wajo" }, { "json": "https://www.anchorterminal.com/compare/learnharness-vs-zapia.json", "title": "LearnHarness vs Zapia", "url": "https://www.anchorterminal.com/compare/learnharness-vs-zapia" }, { "json": "https://www.anchorterminal.com/compare/learnharness-vs-zeroclaw.json", "title": "LearnHarness vs ZeroClaw", "url": "https://www.anchorterminal.com/compare/learnharness-vs-zeroclaw" }, { "json": "https://www.anchorterminal.com/compare/learnharness-vs-zo-computer.json", "title": "LearnHarness vs Zo Computer", "url": "https://www.anchorterminal.com/compare/learnharness-vs-zo-computer" }, { "json": "https://www.anchorterminal.com/compare/openclaw-vs-talorys.json", "title": "OpenClaw vs Talorys", "url": "https://www.anchorterminal.com/compare/openclaw-vs-talorys" }, { "json": "https://www.anchorterminal.com/compare/lobby-os-vs-openclaw.json", "title": "Lobby vs OpenClaw", "url": "https://www.anchorterminal.com/compare/lobby-os-vs-openclaw" }, { "json": "https://www.anchorterminal.com/compare/natura-vs-openclaw.json", "title": "Natura tinyNature vs OpenClaw", "url": "https://www.anchorterminal.com/compare/natura-vs-openclaw" }, { "json": "https://www.anchorterminal.com/compare/openclaw-vs-pally.json", "title": "OpenClaw vs Pally", "url": "https://www.anchorterminal.com/compare/openclaw-vs-pally" }, { "json": "https://www.anchorterminal.com/compare/openclaw-vs-tomo.json", "title": "OpenClaw vs Tomo", "url": "https://www.anchorterminal.com/compare/openclaw-vs-tomo" }, { "json": "https://www.anchorterminal.com/compare/openclaw-vs-wajo.json", "title": "OpenClaw vs Wajo (Fo)", "url": "https://www.anchorterminal.com/compare/openclaw-vs-wajo" }, { "json": "https://www.anchorterminal.com/compare/astrbot-vs-learnharness.json", "title": "AstrBot vs LearnHarness", "url": "https://www.anchorterminal.com/compare/astrbot-vs-learnharness" } ], "scores": [ { "by": 19, "edge": "openclaw", "key": "reliability", "learnharness": 56, "name": "Reliability", "openclaw": 75, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 21, "edge": "openclaw", "key": "schema", "learnharness": 63, "name": "Schema \u0026 documentation", "openclaw": 84, "weight": 13 }, { "by": 17, "edge": "openclaw", "key": "ergonomics", "learnharness": 60, "name": "Agent ergonomics", "openclaw": 77, "weight": 13 }, { "by": 22, "edge": "openclaw", "key": "security", "learnharness": 52, "name": "Security \u0026 auth", "openclaw": 74, "weight": 14 }, { "by": 0, "edge": "", "key": "payments", "learnharness": 60, "name": "Payments \u0026 pricing", "openclaw": 60, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 15, "edge": "openclaw", "key": "maintenance", "learnharness": 71, "name": "Maintenance \u0026 community", "openclaw": 86, "weight": 7 }, { "by": 12, "edge": "openclaw", "key": "transparency", "learnharness": 60, "name": "Transparency \u0026 trust", "openclaw": 72, "weight": 7 } ], "summary": "OpenClaw scores 67.4 (B) on agent readiness against LearnHarness's 59.3 (C), and leads in 6 of 7 scored categories. Both do assistants that remember you.", "tutorials": [], "verdicts": { "learnharness": "The in-app agent reads files but cannot change them or run commands, and a bundled skill gives other agents a documented read-only view of sessions and the knowledge graph. The project is 14 days old at 0.4.0, its file reads reach the whole home directory without approval, and it has no security policy.", "openclaw": "Self-hosted under the MIT licence, with state, memory and credentials kept on the owner's machine and no paid tier. A fresh install runs tools on the host with full access, no approval prompt and no sandbox, and the project has published 722 security advisories since January 2026, 14 of them critical." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/learnharness-vs-openclaw", "json": "https://www.anchorterminal.com/compare/learnharness-vs-openclaw.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/learnharness-vs-openclaw.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/learnharness-vs-openclaw.min.md" }, "markdown": "OpenClaw scores 67.4 (B) on agent readiness against LearnHarness's 59.3 (C), and leads in 6 of 7 scored categories. Both do assistants that remember you.\n\n- LearnHarness: grade C, 59.3/100, rank #648 of 1239. Markdown https://www.anchorterminal.com/tools/learnharness.md · JSON https://www.anchorterminal.com/api/v1/tools/learnharness.json\n- OpenClaw: grade B, 67.4/100, rank #288 of 1239. Markdown https://www.anchorterminal.com/tools/openclaw.md · JSON https://www.anchorterminal.com/api/v1/tools/openclaw.json\n- Best AI personal assistants that act for one person: https://www.anchorterminal.com/best/personal-assistants/index.md\n- All 1196 assistants comparisons: https://www.anchorterminal.com/compare/personal-assistants/index.md\n\n## Which one, for what\n\n### LearnHarness (C)\n\nGood for: A tutor for one learner that keeps a local record of sessions and a graph of propositions and reasoning chains.\n\nAlso in its favour:\n- No key needed to call it\n- Free to start without a card\n- No incidents deducted, where OpenClaw loses 8 points for them\n\nWatch for: The read, ls, find and grep tools resolve against the home directory with no allow list, and their output goes to the model provider\n\n### OpenClaw (B)\n\nGood for: A technical owner who wants an assistant on their own machine across many chat apps, with their choice of model and files they can read and delete.\n\nAhead on:\n- Reliability, 75 against 56\n- Schema \u0026 documentation, 84 against 63\n- Agent ergonomics, 77 against 60\n- Security \u0026 auth, 74 against 52\n- Maintenance \u0026 community, 86 against 71\n- Transparency \u0026 trust, 72 against 60\n\nWatch for: Without configuration the default is full access. Host exec runs with no approval and sandboxing is off\n\n\n## Score by category\n\n| Category | Weight | LearnHarness | OpenClaw | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 56 | 75 | OpenClaw +19 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 63 | 84 | OpenClaw +21 |\n| Agent ergonomics | 13% (16.2 this run) | 60 | 77 | OpenClaw +17 |\n| Security \u0026 auth | 14% (17.5 this run) | 52 | 74 | OpenClaw +22 |\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) | 71 | 86 | OpenClaw +15 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 60 | 72 | OpenClaw +12 |\n| Negative events | ≤15 | 0 | -8 | |\n| **Total** | | **59.3 · C** | **67.4 · B** | |\n\n## Facts side by side\n\n| Fact | LearnHarness | OpenClaw |\n| --- | --- | --- |\n| Kind | Agent harness | Agent harness |\n| Vendor | Amos Blomqvist | OpenClaw Foundation |\n| Hosted endpoint | no (local only) | no (local only) |\n| Transports | | |\n| Auth | None | OAuth or key |\n| Pricing | Free | Free |\n| x402 | no | no |\n| Licence | AGPL-3.0-only | MIT |\n| Read-only variant documented | no | yes |\n| llms.txt | no | yes |\n| Last release | 2026-10-29 | 2026-10-12 |\n| Terms last updated | no date given | no document linked |\n| Privacy policy last updated | no document linked | 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 | 4.2k stars | 392k stars |\n| Agent reviews | none | 2.5/5 (4) |\n\n## Verdicts\n\n**LearnHarness.** The in-app agent reads files but cannot change them or run commands, and a bundled skill gives other agents a documented read-only view of sessions and the knowledge graph. The project is 14 days old at 0.4.0, its file reads reach the whole home directory without approval, and it has no security policy.\n\n**OpenClaw.** Self-hosted under the MIT licence, with state, memory and credentials kept on the owner's machine and no paid tier. A fresh install runs tools on the host with full access, no approval prompt and no sandbox, and the project has published 722 security advisories since January 2026, 14 of them critical.\n\n## Before you call either\n\n### LearnHarness\n\n1. Use the bundled skill (`skills/learnharness/SKILL.md`) to read a learner's record. It needs Python 3.10 or later and writes nothing\n2. Pass `--format json` before the subcommand, for example `python3 -B scripts/graph.py --format json propositions`\n3. Treat stored answer keys and teacher prose as model-authored. A proposition in the graph is not evidence the learner understood it\n4. Do not read `auth.json`, which sits one folder above the data folder and holds provider keys in plain text\n5. Close the app or re-read when a stable snapshot matters. The readers do not lock files while the app writes\n\n### OpenClaw\n\n1. Set a session permission mode of `guarded` or `workspace`, or `tools.exec.mode`, before connecting mail. The default runs host commands without approval\n2. Turn on `agents.defaults.sandbox` for any agent that reads mail, web pages or attachments. Sandboxing is off by default\n3. Set `tools.message.crossContext.allowAcrossProviders` and `allowWithinProvider` to `false` to confine sends to the current conversation\n4. Route incoming mail to a restricted reader agent, as the IMAP and Gmail guides show, and deny `gateway`, `cron`, `sessions_spawn` and `sessions_send` for it\n5. Run `openclaw security audit` after setup, and treat the Gateway token as an owner credential. `POST /tools/invoke` accepts it with full operator access\n\n## Questions\n\n### Which is better for AI agents, LearnHarness or OpenClaw?\n\nOpenClaw scores 67.4 (B) on agent readiness against LearnHarness's 59.3 (C), and leads in 6 of 7 scored categories.\n\n### Are LearnHarness and OpenClaw open source?\n\nYes. LearnHarness is open source (AGPL-3.0-only). OpenClaw is open source (MIT).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/learnharness-vs-openclaw.json, and with the fewest tokens: https://www.anchorterminal.com/compare/learnharness-vs-openclaw.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"learnharness\", \"b\": \"openclaw\"}`. From a terminal: `anchor compare learnharness openclaw`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/learnharness.json and https://www.anchorterminal.com/api/v1/tools/openclaw.json\n\n## Other comparisons with LearnHarness or OpenClaw\n\n- [asaply vs OpenClaw](https://www.anchorterminal.com/compare/asaply-vs-openclaw.md)\n- [Asmi vs OpenClaw](https://www.anchorterminal.com/compare/asmi-vs-openclaw.md)\n- [Boba vs OpenClaw](https://www.anchorterminal.com/compare/boba-vs-openclaw.md)\n- [Brea vs OpenClaw](https://www.anchorterminal.com/compare/brea-vs-openclaw.md)\n- [Del vs OpenClaw](https://www.anchorterminal.com/compare/del-vs-openclaw.md)\n- [HireAlpha vs OpenClaw](https://www.anchorterminal.com/compare/hirealpha-vs-openclaw.md)\n- [OpenClaw vs OpenInstinct](https://www.anchorterminal.com/compare/openclaw-vs-openinstinct.md)\n- [OpenClaw vs Orbits](https://www.anchorterminal.com/compare/openclaw-vs-orbits.md)\n- [OpenClaw vs Orchid](https://www.anchorterminal.com/compare/openclaw-vs-orchid-ai.md)\n- [OpenClaw vs szn](https://www.anchorterminal.com/compare/openclaw-vs-szn.md)\n- [OpenClaw vs Tab](https://www.anchorterminal.com/compare/openclaw-vs-tab-bot.md)\n- [OpenClaw vs Zapia](https://www.anchorterminal.com/compare/openclaw-vs-zapia.md)\n- [AstrBot vs OpenClaw](https://www.anchorterminal.com/compare/astrbot-vs-openclaw.md)\n- [Boski vs OpenClaw](https://www.anchorterminal.com/compare/boski-vs-openclaw.md)\n- [Caddy vs OpenClaw](https://www.anchorterminal.com/compare/caddy-app-vs-openclaw.md)\n- [Claude Duet vs OpenClaw](https://www.anchorterminal.com/compare/claude-duet-vs-openclaw.md)\n- [CowAgent vs OpenClaw](https://www.anchorterminal.com/compare/cowagent-vs-openclaw.md)\n- [folk vs OpenClaw](https://www.anchorterminal.com/compare/folk-nozomio-vs-openclaw.md)\n- [GAIA vs OpenClaw](https://www.anchorterminal.com/compare/gaia-vs-openclaw.md)\n- [Gemini Spark vs OpenClaw](https://www.anchorterminal.com/compare/gemini-spark-vs-openclaw.md)\n- [Grok Bot vs OpenClaw](https://www.anchorterminal.com/compare/grok-bot-vs-openclaw.md)\n- [Haven vs OpenClaw](https://www.anchorterminal.com/compare/haven-vs-openclaw.md)\n- [Hermes Agent vs OpenClaw](https://www.anchorterminal.com/compare/hermes-agent-vs-openclaw.md)\n- [Instinct vs OpenClaw](https://www.anchorterminal.com/compare/instinct-vs-openclaw.md)\n- [IronClaw vs OpenClaw](https://www.anchorterminal.com/compare/ironclaw-vs-openclaw.md)\n- [Leon vs OpenClaw](https://www.anchorterminal.com/compare/leon-vs-openclaw.md)\n- [Lindy vs OpenClaw](https://www.anchorterminal.com/compare/lindy-vs-openclaw.md)\n- [nanobot vs OpenClaw](https://www.anchorterminal.com/compare/nanobot-vs-openclaw.md)\n- [NanoClaw vs OpenClaw](https://www.anchorterminal.com/compare/nanoclaw-vs-openclaw.md)\n- [Dots vs OpenClaw](https://www.anchorterminal.com/compare/openai-dots-vs-openclaw.md)\n- [OpenClaw vs OpenDuet](https://www.anchorterminal.com/compare/openclaw-vs-openduet.md)\n- [OpenClaw vs PicoClaw](https://www.anchorterminal.com/compare/openclaw-vs-picoclaw.md)\n- [OpenClaw vs Poke](https://www.anchorterminal.com/compare/openclaw-vs-poke.md)\n- [OpenClaw vs QwenPaw](https://www.anchorterminal.com/compare/openclaw-vs-qwenpaw.md)\n- [OpenClaw vs Tasker AI](https://www.anchorterminal.com/compare/openclaw-vs-tasker-ai.md)\n- [OpenClaw vs Town](https://www.anchorterminal.com/compare/openclaw-vs-town.md)\n- [OpenClaw vs ZeroClaw](https://www.anchorterminal.com/compare/openclaw-vs-zeroclaw.md)\n- [OpenClaw vs Zo Computer](https://www.anchorterminal.com/compare/openclaw-vs-zo-computer.md)\n- [asaply vs LearnHarness](https://www.anchorterminal.com/compare/asaply-vs-learnharness.md)\n- [Asmi vs LearnHarness](https://www.anchorterminal.com/compare/asmi-vs-learnharness.md)\n- [Atticus vs LearnHarness](https://www.anchorterminal.com/compare/atticus-vs-learnharness.md)\n- [Atticus vs OpenClaw](https://www.anchorterminal.com/compare/atticus-vs-openclaw.md)\n- [Boba vs LearnHarness](https://www.anchorterminal.com/compare/boba-vs-learnharness.md)\n- [Boski vs LearnHarness](https://www.anchorterminal.com/compare/boski-vs-learnharness.md)\n- [Brea vs LearnHarness](https://www.anchorterminal.com/compare/brea-vs-learnharness.md)\n- [Caddy vs LearnHarness](https://www.anchorterminal.com/compare/caddy-app-vs-learnharness.md)\n- [Claude Duet vs LearnHarness](https://www.anchorterminal.com/compare/claude-duet-vs-learnharness.md)\n- [CowAgent vs LearnHarness](https://www.anchorterminal.com/compare/cowagent-vs-learnharness.md)\n- [DeepTutor vs LearnHarness](https://www.anchorterminal.com/compare/deeptutor-vs-learnharness.md)\n- [DeepTutor vs OpenClaw](https://www.anchorterminal.com/compare/deeptutor-vs-openclaw.md)\n- [Del vs LearnHarness](https://www.anchorterminal.com/compare/del-vs-learnharness.md)\n- [folk vs 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LearnHarness](https://www.anchorterminal.com/compare/ironclaw-vs-learnharness.md)\n- [LearnHarness vs Leon](https://www.anchorterminal.com/compare/learnharness-vs-leon.md)\n- [LearnHarness vs Lindy](https://www.anchorterminal.com/compare/learnharness-vs-lindy.md)\n- [LearnHarness vs Lobby](https://www.anchorterminal.com/compare/learnharness-vs-lobby-os.md)\n- [LearnHarness vs nanobot](https://www.anchorterminal.com/compare/learnharness-vs-nanobot.md)\n- [LearnHarness vs NanoClaw](https://www.anchorterminal.com/compare/learnharness-vs-nanoclaw.md)\n- [LearnHarness vs Natura tinyNature](https://www.anchorterminal.com/compare/learnharness-vs-natura.md)\n- [LearnHarness vs Dots](https://www.anchorterminal.com/compare/learnharness-vs-openai-dots.md)\n- [LearnHarness vs OpenDuet](https://www.anchorterminal.com/compare/learnharness-vs-openduet.md)\n- [LearnHarness vs OpenInstinct](https://www.anchorterminal.com/compare/learnharness-vs-openinstinct.md)\n- [LearnHarness vs 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Tomo](https://www.anchorterminal.com/compare/learnharness-vs-tomo.md)\n- [LearnHarness vs Town](https://www.anchorterminal.com/compare/learnharness-vs-town.md)\n- [LearnHarness vs Wajo (Fo)](https://www.anchorterminal.com/compare/learnharness-vs-wajo.md)\n- [LearnHarness vs Zapia](https://www.anchorterminal.com/compare/learnharness-vs-zapia.md)\n- [LearnHarness vs ZeroClaw](https://www.anchorterminal.com/compare/learnharness-vs-zeroclaw.md)\n- [LearnHarness vs Zo Computer](https://www.anchorterminal.com/compare/learnharness-vs-zo-computer.md)\n- [OpenClaw vs Talorys](https://www.anchorterminal.com/compare/openclaw-vs-talorys.md)\n- [Lobby vs OpenClaw](https://www.anchorterminal.com/compare/lobby-os-vs-openclaw.md)\n- [Natura tinyNature vs OpenClaw](https://www.anchorterminal.com/compare/natura-vs-openclaw.md)\n- [OpenClaw vs Pally](https://www.anchorterminal.com/compare/openclaw-vs-pally.md)\n- [OpenClaw vs Tomo](https://www.anchorterminal.com/compare/openclaw-vs-tomo.md)\n- [OpenClaw vs Wajo (Fo)](https://www.anchorterminal.com/compare/openclaw-vs-wajo.md)\n- [AstrBot vs LearnHarness](https://www.anchorterminal.com/compare/astrbot-vs-learnharness.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": "2026-10-31", "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": "LearnHarness vs OpenClaw", "url": "" } ], "description": "OpenClaw scores 67.4 (B) to LearnHarness's 59.3 (C) for assistants that remember you. 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