{ "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": "QwenPaw scores 62.4 (B) on agent readiness against LearnHarness's 59.3 (C), and leads in 5 of 7 scored categories.", "b": { "slug": "qwenpaw", "name": "QwenPaw", "vendor": "AgentScope", "vendorUrl": "https://qwenpaw.agentscope.io", "kind": "harness", "category": "personal-assistants", "summary": "Open-source personal assistant from the AgentScope team that the owner runs on their own machine or server. It answers on chat apps, runs scheduled and proactive tasks, manages a mailbox over IMAP and SMTP, and keeps memory as Markdown files.", "url": "https://www.anchorterminal.com/tools/qwenpaw", "markdownUrl": "https://www.anchorterminal.com/tools/qwenpaw.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/qwenpaw.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/qwenpaw.json", "repo": "https://github.com/agentscope-ai/QwenPaw", "license": "Apache-2.0", "transports": [ "http", "stdio" ], "packages": [ { "registry": "pypi", "name": "qwenpaw" }, { "registry": "oci", "name": "agentscope/qwenpaw" } ], "auth": "none", "authNotes": "No account. The Console and API bind to 127.0.0.1:8088 with login off by default. `QWENPAW_AUTH_ENABLED=true` adds one admin account with a salted SHA-256 password hash and a signed token valid for seven days, and requests from localhost skip it. Each channel takes its own bot credentials, and the mailbox takes an IMAP and SMTP authorisation code or app password.", "pricing": "free", "pricingNotes": "Free under Apache-2.0 with nothing to buy. Model usage is billed by whichever provider the owner configures, and local models through llama.cpp, Ollama or LM Studio need no key. The README describes a hosted deployment on AgentScope Platform as free. That platform's pages are script-drawn and its terms and limits were not read (checked 2026-10-12).", "priceSummary": "Free · OSS", "where": "local", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the README, the docs source or the dependency list (checked 2026-10-12).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 35621, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-12" }, "docsUrl": "https://qwenpaw.agentscope.io/docs", "capabilities": [ "assistant.proactive", "assistant.messaging", "assistant.accounts", "assistant.memory", "assistant.self-hosted", "agent.mcp-client" ], "tags": [ "open-source", "self-hosted", "local", "free", "python", "docker", "desktop-app", "mcp", "telemetry-default-on" ], "lastRelease": "2026-09-11", "graded": true, "anchor": { "graded": true, "score": 62.4, "grade": "B", "agentReady": false, "rank": 506, "ranked": true, "rankOf": 1239, "categoryRank": 8, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 67, "maintenance": 73, "payments": 60, "reliability": 70, "schema": 68, "security": 60, "transparency": 58 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-12" }, "negative": -3, "negativeNotes": [ "2026-09-11. Version 2.2.1 began enforcing each MCP server's tool allowlist on the agent runtime path (commit f2a292d of 4 September, #7504). Before it, a tool the owner had disabled on an MCP client could still be invoked by the agent. Fixed and listed in the release notes, with no security advisory, -2. https://github.com/agentscope-ai/QwenPaw/pull/7504", "2026-09-03. Version 2.2.0 blocked shell line-continuation variants that bypassed sensitive-path protections (#7472). Fixed and listed in the release notes, with no security advisory, -1. https://github.com/agentscope-ai/QwenPaw/blob/main/website/public/release-notes/v2.2.0.md" ], "verdict": "Mail tools ask for approval by default, automatic mail handling may not delete permanently, and the security docs list what each sandbox backend fails to enforce. Usage data is sent by default, the default approval level passes every tool call no rule flags, and no privacy policy or security advisory is published.", "bestFor": "One person who wants an assistant on Chinese and Western chat apps with scheduled digests, a consumer mailbox and file-based memory, on their own machine and with a model of their choice.", "strengths": [ "New mail driver cards default to the `ask` policy, and automatic mail handling may not call `delete_message` or write to unknown recipients", "Kernel sandbox on macOS, Linux and Windows, with a documented list of constraints each backend does not enforce", "Model keys, mail credentials and environment secrets are encrypted with a master key held in the OS keychain or a 0600 file", "Memory is plain Markdown in the agent workspace that the owner can read, edit and remove", "Four stable releases in the 90 days to 12 October 2026, each with dated release notes" ], "weaknesses": [ "Usage data is on by default, `qwenpaw init --defaults` accepts it without a prompt, and the opt-out variable is absent from the README and docs", "The default approval level AUTO asks only for tool calls a guard rule flags, and `/proactive` skips approval prompts entirely", "Channel direct-message and group policies default to `open`, and Console login is off by default", "No privacy policy, terms of service or security.txt on qwenpaw.agentscope.io, and no published GitHub security advisory", "Inside containers the sandbox falls back to `mode=none`, which the docs say enforces no isolation", "671 open issues and 381 open pull requests on 12 October 2026, and the Tests workflow on main had not completed a run since 30 September" ], "agentNotes": [ "Set `QWENPAW_TELEMETRY_DISABLED=true` before `qwenpaw init --defaults` or `qwenpaw app`. Both send usage data without asking", "Set `approval_level` to `STRICT` or `SMART` in `agent.json`. The default `AUTO` runs every tool call no guard rule flags", "Set `dm_policy` and `group_policy` to `allowlist` with `allow_from` on each channel. Both default to `open`", "Set `QWENPAW_AUTH_ENABLED=true` before binding beyond 127.0.0.1. Requests from localhost skip login even then", "Keep mail tools on `ask` for `send_message`, `delete_message` and `delete_thread`, and turn on Mail Access Control with automatic handling" ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 4, "avgRating": 2.8, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "B", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 62.4 } ], "editorialScores": { "ergonomics": 67, "maintenance": 73, "payments": 60, "reliability": 70, "schema": 68, "security": 60, "transparency": 58 }, "provenanceScore": 58, "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": "pip install qwenpaw \u0026\u0026 qwenpaw init --defaults \u0026\u0026 qwenpaw app # Python 3.11 to 3.13; or: docker pull agentscope/qwenpaw:latest", "http": "curl -X POST http://localhost:8088/api/console/chat -H \"Content-Type: application/json\" -H \"X-Agent-Id: default\" -d '{\"input\": [...]}'" }, "letme": { "capability": "https://letme.dev/assistant.proactive", "tool": "https://letme.dev/qwenpaw" }, "area": "frameworks", "provenance": { "legalEntity": "Qwenpaw PRIVATE LIMITED", "domain": "agentscope.io", "domainRegistered": "", "endpointOnVendorDomain": null, "terms": "", "privacy": "", "statusPage": "", "changelog": "https://qwenpaw.agentscope.io/release-notes", "securityTxt": "none", "checked": "2026-10-12", "notes": [ "The site footer in the repository's website source reads © 2026 Qwenpaw PRIVATE LIMITED. The LICENSE file names The QwenPaw Authors, and the README credits the AgentScope team.", "SECURITY.md sends vulnerability reports to the Alibaba Security Response Centre. We found no other first-hand statement of ownership by Alibaba.", "The site links a Usage Policy dated 26 August 2026 and no terms of service or privacy policy, so both links are left out and the Apache-2.0 licence stands in.", "qwenpaw.agentscope.io answered 404 for robots.txt, llms.txt and /.well-known/security.txt on 12 October 2026.", "No hosted endpoint is graded. A self-hosted instance answers on its owner's own host. We did not look up the domain's registration date." ], "score": 58 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/qwenpaw.json", "live": { "slug": "qwenpaw", "versions": [ { "registry": "github", "name": "agentscope-ai/QwenPaw", "version": "v2.2.2.post1", "released": "2026-10-22", "seenAt": "2026-10-30T14:40:30.202481312Z" }, { "registry": "pypi", "name": "qwenpaw", "version": "2.2.2.post1", "released": "2026-10-22", "seenAt": "2026-10-30T14:40:28.201920797Z" } ], "githubStars": 37005, "pypiWeekly": 6002, "securityTxt": { "url": "https://agentscope.io/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-30T15:38:17.243013426Z" }, "domain": { "domain": "agentscope.io", "checkedAt": "2026-10-25T14:05:08.651487695Z" }, "pages": [ { "url": "https://qwenpaw.agentscope.io/release-notes", "kind": "changelog", "status": 404, "checkedAt": "2026-10-30T05:46:52.099856896Z", "changedAt": "0001-01-01T00:00:00Z" } ], "github": { "repo": "agentscope-ai/qwenpaw", "checkedAt": "2026-10-26T07:08:22.236751997Z", "stars": 36257, "archived": false, "issuesEnabled": true, "pushedAt": "2026-10-26T06:27:59Z", "openIssues": 716, "openPRs": 426, "issuesOpened90d": 778, "issuesClosed90d": 687, "prsMerged90d": 664, "ci": { "branch": "main", "runs": 50, "success": 48, "failure": 0, "other": 2, "latest": "success", "latestAt": "2026-10-26T06:42:16Z" }, "replies": { "sampled": 25, "unanswered": 15, "medianDays": 0 } }, "updatedAt": "2026-10-30T15:38:17.243013426Z" } }, "facts": [ { "a": "Agent harness", "b": "Agent harness", "name": "Kind" }, { "a": "Amos Blomqvist", "b": "AgentScope", "name": "Vendor" }, { "a": "no (local only)", "b": "no (local only)", "name": "Hosted endpoint" }, { "a": "", "b": "HTTP, stdio", "name": "Transports" }, { "a": "None", "b": "None", "name": "Auth" }, { "a": "Free", "b": "Free", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "AGPL-3.0-only", "b": "Apache-2.0", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "no", "b": "no", "name": "llms.txt" }, { "a": "2026-10-29", "b": "2026-09-11", "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": "36k stars", "name": "Popularity" }, { "a": "none", "b": "2.8/5 (4)", "name": "Agent reviews" } ], "faq": [ { "answer": "QwenPaw scores 62.4 (B) on agent readiness against LearnHarness's 59.3 (C), and leads in 5 of 7 scored categories.", "question": "Which is better for AI agents, LearnHarness or QwenPaw?" }, { "answer": "Yes. LearnHarness is open source (AGPL-3.0-only). QwenPaw is open source (Apache-2.0).", "question": "Are LearnHarness and QwenPaw open source?" } ], "goodFor": [ { "aheadOn": null, "also": [ "Free to start without a card", "No incidents deducted, where QwenPaw loses 3 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, 70 against 56", "Schema \u0026 documentation, 68 against 63", "Agent ergonomics, 67 against 60", "Security \u0026 auth, 60 against 52" ], "also": [ "Runs on your own machine" ], "goodFor": "One person who wants an assistant on Chinese and Western chat apps with scheduled digests, a consumer mailbox and file-based memory, on their own machine and with a model of their choice.", "slug": "qwenpaw", "watchFor": "Usage data is on by default, `qwenpaw init --defaults` accepts it without a prompt, and the opt-out variable is absent from the README and docs" } ], "job": { "capability": "assistant.memory", "name": "Assistants that remember you" }, "others": [ { "json": "https://www.anchorterminal.com/compare/asaply-vs-qwenpaw.json", "title": "asaply vs QwenPaw", "url": "https://www.anchorterminal.com/compare/asaply-vs-qwenpaw" }, { "json": "https://www.anchorterminal.com/compare/asmi-vs-qwenpaw.json", "title": "Asmi vs QwenPaw", "url": "https://www.anchorterminal.com/compare/asmi-vs-qwenpaw" }, { "json": "https://www.anchorterminal.com/compare/boba-vs-qwenpaw.json", "title": "Boba vs QwenPaw", "url": "https://www.anchorterminal.com/compare/boba-vs-qwenpaw" }, { "json": "https://www.anchorterminal.com/compare/brea-vs-qwenpaw.json", "title": "Brea vs QwenPaw", "url": "https://www.anchorterminal.com/compare/brea-vs-qwenpaw" }, { "json": "https://www.anchorterminal.com/compare/del-vs-qwenpaw.json", "title": "Del vs QwenPaw", "url": "https://www.anchorterminal.com/compare/del-vs-qwenpaw" }, { "json": "https://www.anchorterminal.com/compare/hirealpha-vs-qwenpaw.json", "title": "HireAlpha vs QwenPaw", "url": "https://www.anchorterminal.com/compare/hirealpha-vs-qwenpaw" }, { "json": "https://www.anchorterminal.com/compare/openinstinct-vs-qwenpaw.json", "title": "OpenInstinct vs QwenPaw", "url": "https://www.anchorterminal.com/compare/openinstinct-vs-qwenpaw" }, { "json": "https://www.anchorterminal.com/compare/orbits-vs-qwenpaw.json", "title": "Orbits vs QwenPaw", "url": "https://www.anchorterminal.com/compare/orbits-vs-qwenpaw" }, { "json": "https://www.anchorterminal.com/compare/orchid-ai-vs-qwenpaw.json", "title": "Orchid vs QwenPaw", "url": "https://www.anchorterminal.com/compare/orchid-ai-vs-qwenpaw" }, { "json": "https://www.anchorterminal.com/compare/qwenpaw-vs-szn.json", "title": "QwenPaw vs szn", "url": "https://www.anchorterminal.com/compare/qwenpaw-vs-szn" }, { "json": "https://www.anchorterminal.com/compare/qwenpaw-vs-tab-bot.json", "title": "QwenPaw vs Tab", "url": "https://www.anchorterminal.com/compare/qwenpaw-vs-tab-bot" }, { "json": "https://www.anchorterminal.com/compare/qwenpaw-vs-zapia.json", "title": "QwenPaw vs Zapia", "url": "https://www.anchorterminal.com/compare/qwenpaw-vs-zapia" }, { "json": "https://www.anchorterminal.com/compare/astrbot-vs-qwenpaw.json", "title": "AstrBot vs QwenPaw", "url": "https://www.anchorterminal.com/compare/astrbot-vs-qwenpaw" }, { "json": "https://www.anchorterminal.com/compare/boski-vs-qwenpaw.json", "title": "Boski vs QwenPaw", "url": "https://www.anchorterminal.com/compare/boski-vs-qwenpaw" }, { "json": "https://www.anchorterminal.com/compare/caddy-app-vs-qwenpaw.json", "title": "Caddy vs QwenPaw", "url": "https://www.anchorterminal.com/compare/caddy-app-vs-qwenpaw" }, { "json": "https://www.anchorterminal.com/compare/claude-duet-vs-qwenpaw.json", "title": "Claude Duet vs QwenPaw", "url": "https://www.anchorterminal.com/compare/claude-duet-vs-qwenpaw" }, { "json": "https://www.anchorterminal.com/compare/cowagent-vs-qwenpaw.json", "title": "CowAgent vs QwenPaw", "url": "https://www.anchorterminal.com/compare/cowagent-vs-qwenpaw" }, { "json": "https://www.anchorterminal.com/compare/folk-nozomio-vs-qwenpaw.json", "title": "folk vs QwenPaw", "url": "https://www.anchorterminal.com/compare/folk-nozomio-vs-qwenpaw" }, { "json": "https://www.anchorterminal.com/compare/gaia-vs-qwenpaw.json", "title": "GAIA vs QwenPaw", "url": "https://www.anchorterminal.com/compare/gaia-vs-qwenpaw" }, { "json": "https://www.anchorterminal.com/compare/gemini-spark-vs-qwenpaw.json", "title": "Gemini Spark vs QwenPaw", "url": "https://www.anchorterminal.com/compare/gemini-spark-vs-qwenpaw" }, { "json": "https://www.anchorterminal.com/compare/grok-bot-vs-qwenpaw.json", "title": "Grok Bot vs QwenPaw", "url": "https://www.anchorterminal.com/compare/grok-bot-vs-qwenpaw" }, { "json": "https://www.anchorterminal.com/compare/haven-vs-qwenpaw.json", "title": "Haven vs QwenPaw", "url": "https://www.anchorterminal.com/compare/haven-vs-qwenpaw" }, { "json": "https://www.anchorterminal.com/compare/hermes-agent-vs-qwenpaw.json", "title": "Hermes Agent vs QwenPaw", "url": "https://www.anchorterminal.com/compare/hermes-agent-vs-qwenpaw" }, { "json": "https://www.anchorterminal.com/compare/instinct-vs-qwenpaw.json", "title": "Instinct vs QwenPaw", "url": "https://www.anchorterminal.com/compare/instinct-vs-qwenpaw" }, { "json": "https://www.anchorterminal.com/compare/ironclaw-vs-qwenpaw.json", "title": "IronClaw vs QwenPaw", "url": "https://www.anchorterminal.com/compare/ironclaw-vs-qwenpaw" }, { "json": "https://www.anchorterminal.com/compare/leon-vs-qwenpaw.json", "title": "Leon vs QwenPaw", "url": "https://www.anchorterminal.com/compare/leon-vs-qwenpaw" }, { "json": "https://www.anchorterminal.com/compare/lindy-vs-qwenpaw.json", "title": "Lindy vs QwenPaw", "url": "https://www.anchorterminal.com/compare/lindy-vs-qwenpaw" }, { "json": "https://www.anchorterminal.com/compare/nanobot-vs-qwenpaw.json", "title": "nanobot vs QwenPaw", "url": "https://www.anchorterminal.com/compare/nanobot-vs-qwenpaw" }, { "json": "https://www.anchorterminal.com/compare/nanoclaw-vs-qwenpaw.json", "title": "NanoClaw vs QwenPaw", "url": "https://www.anchorterminal.com/compare/nanoclaw-vs-qwenpaw" }, { "json": "https://www.anchorterminal.com/compare/openai-dots-vs-qwenpaw.json", "title": "Dots vs QwenPaw", "url": "https://www.anchorterminal.com/compare/openai-dots-vs-qwenpaw" }, { "json": "https://www.anchorterminal.com/compare/openclaw-vs-qwenpaw.json", "title": "OpenClaw vs QwenPaw", "url": "https://www.anchorterminal.com/compare/openclaw-vs-qwenpaw" }, { "json": "https://www.anchorterminal.com/compare/openduet-vs-qwenpaw.json", "title": "OpenDuet vs QwenPaw", "url": "https://www.anchorterminal.com/compare/openduet-vs-qwenpaw" }, { "json": "https://www.anchorterminal.com/compare/picoclaw-vs-qwenpaw.json", "title": "PicoClaw vs QwenPaw", "url": "https://www.anchorterminal.com/compare/picoclaw-vs-qwenpaw" }, { "json": "https://www.anchorterminal.com/compare/poke-vs-qwenpaw.json", "title": "Poke vs QwenPaw", "url": "https://www.anchorterminal.com/compare/poke-vs-qwenpaw" }, { "json": "https://www.anchorterminal.com/compare/qwenpaw-vs-tasker-ai.json", "title": "QwenPaw vs Tasker AI", "url": "https://www.anchorterminal.com/compare/qwenpaw-vs-tasker-ai" }, { "json": "https://www.anchorterminal.com/compare/qwenpaw-vs-town.json", "title": "QwenPaw vs Town", "url": "https://www.anchorterminal.com/compare/qwenpaw-vs-town" }, { "json": "https://www.anchorterminal.com/compare/qwenpaw-vs-zeroclaw.json", "title": "QwenPaw vs ZeroClaw", "url": "https://www.anchorterminal.com/compare/qwenpaw-vs-zeroclaw" }, { "json": "https://www.anchorterminal.com/compare/qwenpaw-vs-zo-computer.json", "title": "QwenPaw vs Zo Computer", "url": "https://www.anchorterminal.com/compare/qwenpaw-vs-zo-computer" }, { "json": "https://www.anchorterminal.com/compare/asaply-vs-learnharness.json", "title": "asaply vs LearnHarness", "url": "https://www.anchorterminal.com/compare/asaply-vs-learnharness" }, { "json": "https://www.anchorterminal.com/compare/asmi-vs-learnharness.json", "title": "Asmi vs LearnHarness", "url": "https://www.anchorterminal.com/compare/asmi-vs-learnharness" }, { "json": "https://www.anchorterminal.com/compare/atticus-vs-learnharness.json", "title": "Atticus vs LearnHarness", "url": "https://www.anchorterminal.com/compare/atticus-vs-learnharness" }, { "json": "https://www.anchorterminal.com/compare/atticus-vs-qwenpaw.json", "title": "Atticus vs QwenPaw", "url": "https://www.anchorterminal.com/compare/atticus-vs-qwenpaw" }, { "json": "https://www.anchorterminal.com/compare/boba-vs-learnharness.json", "title": "Boba vs LearnHarness", "url": "https://www.anchorterminal.com/compare/boba-vs-learnharness" }, { "json": "https://www.anchorterminal.com/compare/boski-vs-learnharness.json", "title": "Boski vs LearnHarness", "url": "https://www.anchorterminal.com/compare/boski-vs-learnharness" }, { "json": "https://www.anchorterminal.com/compare/brea-vs-learnharness.json", "title": "Brea vs LearnHarness", "url": "https://www.anchorterminal.com/compare/brea-vs-learnharness" }, { "json": "https://www.anchorterminal.com/compare/caddy-app-vs-learnharness.json", "title": "Caddy vs LearnHarness", "url": "https://www.anchorterminal.com/compare/caddy-app-vs-learnharness" }, { "json": "https://www.anchorterminal.com/compare/claude-duet-vs-learnharness.json", "title": "Claude Duet vs LearnHarness", "url": "https://www.anchorterminal.com/compare/claude-duet-vs-learnharness" }, { "json": "https://www.anchorterminal.com/compare/cowagent-vs-learnharness.json", "title": "CowAgent vs LearnHarness", "url": "https://www.anchorterminal.com/compare/cowagent-vs-learnharness" }, { "json": "https://www.anchorterminal.com/compare/deeptutor-vs-learnharness.json", "title": "DeepTutor vs LearnHarness", "url": "https://www.anchorterminal.com/compare/deeptutor-vs-learnharness" }, { "json": "https://www.anchorterminal.com/compare/deeptutor-vs-qwenpaw.json", "title": "DeepTutor vs QwenPaw", "url": "https://www.anchorterminal.com/compare/deeptutor-vs-qwenpaw" }, { "json": "https://www.anchorterminal.com/compare/del-vs-learnharness.json", "title": "Del vs LearnHarness", "url": "https://www.anchorterminal.com/compare/del-vs-learnharness" }, { "json": "https://www.anchorterminal.com/compare/folk-nozomio-vs-learnharness.json", "title": "folk vs LearnHarness", "url": "https://www.anchorterminal.com/compare/folk-nozomio-vs-learnharness" }, { "json": "https://www.anchorterminal.com/compare/gaia-vs-learnharness.json", "title": "GAIA vs LearnHarness", "url": "https://www.anchorterminal.com/compare/gaia-vs-learnharness" }, { "json": "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-qwenpaw.json", "title": "Hark Pro vs QwenPaw", "url": "https://www.anchorterminal.com/compare/hark-pro-vs-qwenpaw" }, { "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-openclaw.json", "title": "LearnHarness vs OpenClaw", "url": "https://www.anchorterminal.com/compare/learnharness-vs-openclaw" }, { "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-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/qwenpaw-vs-talorys.json", "title": "QwenPaw vs Talorys", "url": "https://www.anchorterminal.com/compare/qwenpaw-vs-talorys" }, { "json": "https://www.anchorterminal.com/compare/lobby-os-vs-qwenpaw.json", "title": "Lobby vs QwenPaw", "url": "https://www.anchorterminal.com/compare/lobby-os-vs-qwenpaw" }, { "json": "https://www.anchorterminal.com/compare/natura-vs-qwenpaw.json", "title": "Natura tinyNature vs QwenPaw", "url": "https://www.anchorterminal.com/compare/natura-vs-qwenpaw" }, { "json": "https://www.anchorterminal.com/compare/pally-vs-qwenpaw.json", "title": "Pally vs QwenPaw", "url": "https://www.anchorterminal.com/compare/pally-vs-qwenpaw" }, { "json": "https://www.anchorterminal.com/compare/qwenpaw-vs-tomo.json", "title": "QwenPaw vs Tomo", "url": "https://www.anchorterminal.com/compare/qwenpaw-vs-tomo" }, { "json": "https://www.anchorterminal.com/compare/qwenpaw-vs-wajo.json", "title": "QwenPaw vs Wajo (Fo)", "url": "https://www.anchorterminal.com/compare/qwenpaw-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": 14, "edge": "qwenpaw", "key": "reliability", "learnharness": 56, "name": "Reliability", "qwenpaw": 70, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 5, "edge": "qwenpaw", "key": "schema", "learnharness": 63, "name": "Schema \u0026 documentation", "qwenpaw": 68, "weight": 13 }, { "by": 7, "edge": "qwenpaw", "key": "ergonomics", "learnharness": 60, "name": "Agent ergonomics", "qwenpaw": 67, "weight": 13 }, { "by": 8, "edge": "qwenpaw", "key": "security", "learnharness": 52, "name": "Security \u0026 auth", "qwenpaw": 60, "weight": 14 }, { "by": 0, "edge": "", "key": "payments", "learnharness": 60, "name": "Payments \u0026 pricing", "qwenpaw": 60, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 2, "edge": "qwenpaw", "key": "maintenance", "learnharness": 71, "name": "Maintenance \u0026 community", "qwenpaw": 73, "weight": 7 }, { "by": 2, "edge": "learnharness", "key": "transparency", "learnharness": 60, "name": "Transparency \u0026 trust", "qwenpaw": 58, "weight": 7 } ], "summary": "QwenPaw scores 62.4 (B) on agent readiness against LearnHarness's 59.3 (C), and leads in 5 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.", "qwenpaw": "Mail tools ask for approval by default, automatic mail handling may not delete permanently, and the security docs list what each sandbox backend fails to enforce. Usage data is sent by default, the default approval level passes every tool call no rule flags, and no privacy policy or security advisory is published." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/learnharness-vs-qwenpaw", "json": "https://www.anchorterminal.com/compare/learnharness-vs-qwenpaw.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/learnharness-vs-qwenpaw.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/learnharness-vs-qwenpaw.min.md" }, "markdown": "QwenPaw scores 62.4 (B) on agent readiness against LearnHarness's 59.3 (C), and leads in 5 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- QwenPaw: grade B, 62.4/100, rank #506 of 1239. Markdown https://www.anchorterminal.com/tools/qwenpaw.md · JSON https://www.anchorterminal.com/api/v1/tools/qwenpaw.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- Free to start without a card\n- No incidents deducted, where QwenPaw loses 3 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### QwenPaw (B)\n\nGood for: One person who wants an assistant on Chinese and Western chat apps with scheduled digests, a consumer mailbox and file-based memory, on their own machine and with a model of their choice.\n\nAhead on:\n- Reliability, 70 against 56\n- Schema \u0026 documentation, 68 against 63\n- Agent ergonomics, 67 against 60\n- Security \u0026 auth, 60 against 52\n\nAlso in its favour:\n- Runs on your own machine\n\nWatch for: Usage data is on by default, `qwenpaw init --defaults` accepts it without a prompt, and the opt-out variable is absent from the README and docs\n\n\n## Score by category\n\n| Category | Weight | LearnHarness | QwenPaw | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 56 | 70 | QwenPaw +14 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 63 | 68 | QwenPaw +5 |\n| Agent ergonomics | 13% (16.2 this run) | 60 | 67 | QwenPaw +7 |\n| Security \u0026 auth | 14% (17.5 this run) | 52 | 60 | QwenPaw +8 |\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 | 73 | QwenPaw +2 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 60 | 58 | LearnHarness +2 |\n| Negative events | ≤15 | 0 | -3 | |\n| **Total** | | **59.3 · C** | **62.4 · B** | |\n\n## Facts side by side\n\n| Fact | LearnHarness | QwenPaw |\n| --- | --- | --- |\n| Kind | Agent harness | Agent harness |\n| Vendor | Amos Blomqvist | AgentScope |\n| Hosted endpoint | no (local only) | no (local only) |\n| Transports | | HTTP, stdio |\n| Auth | None | None |\n| Pricing | Free | Free |\n| x402 | no | no |\n| Licence | AGPL-3.0-only | Apache-2.0 |\n| Read-only variant documented | no | no |\n| llms.txt | no | no |\n| Last release | 2026-10-29 | 2026-09-11 |\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 | 36k stars |\n| Agent reviews | none | 2.8/5 (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**QwenPaw.** Mail tools ask for approval by default, automatic mail handling may not delete permanently, and the security docs list what each sandbox backend fails to enforce. Usage data is sent by default, the default approval level passes every tool call no rule flags, and no privacy policy or security advisory is published.\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### QwenPaw\n\n1. Set `QWENPAW_TELEMETRY_DISABLED=true` before `qwenpaw init --defaults` or `qwenpaw app`. Both send usage data without asking\n2. Set `approval_level` to `STRICT` or `SMART` in `agent.json`. The default `AUTO` runs every tool call no guard rule flags\n3. Set `dm_policy` and `group_policy` to `allowlist` with `allow_from` on each channel. Both default to `open`\n4. Set `QWENPAW_AUTH_ENABLED=true` before binding beyond 127.0.0.1. Requests from localhost skip login even then\n5. Keep mail tools on `ask` for `send_message`, `delete_message` and `delete_thread`, and turn on Mail Access Control with automatic handling\n\n## Questions\n\n### Which is better for AI agents, LearnHarness or QwenPaw?\n\nQwenPaw scores 62.4 (B) on agent readiness against LearnHarness's 59.3 (C), and leads in 5 of 7 scored categories.\n\n### Are LearnHarness and QwenPaw open source?\n\nYes. LearnHarness is open source (AGPL-3.0-only). QwenPaw is open source (Apache-2.0).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/learnharness-vs-qwenpaw.json, and with the fewest tokens: https://www.anchorterminal.com/compare/learnharness-vs-qwenpaw.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"learnharness\", \"b\": \"qwenpaw\"}`. From a terminal: `anchor compare learnharness qwenpaw`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/learnharness.json and https://www.anchorterminal.com/api/v1/tools/qwenpaw.json\n\n## Other comparisons with LearnHarness or QwenPaw\n\n- [asaply vs QwenPaw](https://www.anchorterminal.com/compare/asaply-vs-qwenpaw.md)\n- [Asmi vs QwenPaw](https://www.anchorterminal.com/compare/asmi-vs-qwenpaw.md)\n- [Boba vs QwenPaw](https://www.anchorterminal.com/compare/boba-vs-qwenpaw.md)\n- [Brea vs QwenPaw](https://www.anchorterminal.com/compare/brea-vs-qwenpaw.md)\n- [Del vs QwenPaw](https://www.anchorterminal.com/compare/del-vs-qwenpaw.md)\n- [HireAlpha vs QwenPaw](https://www.anchorterminal.com/compare/hirealpha-vs-qwenpaw.md)\n- [OpenInstinct vs QwenPaw](https://www.anchorterminal.com/compare/openinstinct-vs-qwenpaw.md)\n- [Orbits vs QwenPaw](https://www.anchorterminal.com/compare/orbits-vs-qwenpaw.md)\n- [Orchid vs QwenPaw](https://www.anchorterminal.com/compare/orchid-ai-vs-qwenpaw.md)\n- [QwenPaw vs szn](https://www.anchorterminal.com/compare/qwenpaw-vs-szn.md)\n- [QwenPaw vs Tab](https://www.anchorterminal.com/compare/qwenpaw-vs-tab-bot.md)\n- [QwenPaw vs Zapia](https://www.anchorterminal.com/compare/qwenpaw-vs-zapia.md)\n- [AstrBot vs QwenPaw](https://www.anchorterminal.com/compare/astrbot-vs-qwenpaw.md)\n- [Boski vs QwenPaw](https://www.anchorterminal.com/compare/boski-vs-qwenpaw.md)\n- [Caddy vs QwenPaw](https://www.anchorterminal.com/compare/caddy-app-vs-qwenpaw.md)\n- [Claude Duet vs QwenPaw](https://www.anchorterminal.com/compare/claude-duet-vs-qwenpaw.md)\n- [CowAgent vs QwenPaw](https://www.anchorterminal.com/compare/cowagent-vs-qwenpaw.md)\n- [folk vs QwenPaw](https://www.anchorterminal.com/compare/folk-nozomio-vs-qwenpaw.md)\n- [GAIA vs QwenPaw](https://www.anchorterminal.com/compare/gaia-vs-qwenpaw.md)\n- [Gemini Spark vs QwenPaw](https://www.anchorterminal.com/compare/gemini-spark-vs-qwenpaw.md)\n- [Grok Bot vs QwenPaw](https://www.anchorterminal.com/compare/grok-bot-vs-qwenpaw.md)\n- [Haven vs QwenPaw](https://www.anchorterminal.com/compare/haven-vs-qwenpaw.md)\n- [Hermes Agent vs QwenPaw](https://www.anchorterminal.com/compare/hermes-agent-vs-qwenpaw.md)\n- [Instinct vs QwenPaw](https://www.anchorterminal.com/compare/instinct-vs-qwenpaw.md)\n- [IronClaw vs QwenPaw](https://www.anchorterminal.com/compare/ironclaw-vs-qwenpaw.md)\n- [Leon vs QwenPaw](https://www.anchorterminal.com/compare/leon-vs-qwenpaw.md)\n- [Lindy vs QwenPaw](https://www.anchorterminal.com/compare/lindy-vs-qwenpaw.md)\n- [nanobot vs QwenPaw](https://www.anchorterminal.com/compare/nanobot-vs-qwenpaw.md)\n- [NanoClaw vs QwenPaw](https://www.anchorterminal.com/compare/nanoclaw-vs-qwenpaw.md)\n- [Dots vs QwenPaw](https://www.anchorterminal.com/compare/openai-dots-vs-qwenpaw.md)\n- [OpenClaw vs QwenPaw](https://www.anchorterminal.com/compare/openclaw-vs-qwenpaw.md)\n- [OpenDuet vs QwenPaw](https://www.anchorterminal.com/compare/openduet-vs-qwenpaw.md)\n- [PicoClaw vs QwenPaw](https://www.anchorterminal.com/compare/picoclaw-vs-qwenpaw.md)\n- [Poke vs QwenPaw](https://www.anchorterminal.com/compare/poke-vs-qwenpaw.md)\n- [QwenPaw vs Tasker AI](https://www.anchorterminal.com/compare/qwenpaw-vs-tasker-ai.md)\n- [QwenPaw vs Town](https://www.anchorterminal.com/compare/qwenpaw-vs-town.md)\n- [QwenPaw vs ZeroClaw](https://www.anchorterminal.com/compare/qwenpaw-vs-zeroclaw.md)\n- [QwenPaw vs Zo Computer](https://www.anchorterminal.com/compare/qwenpaw-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 QwenPaw](https://www.anchorterminal.com/compare/atticus-vs-qwenpaw.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 QwenPaw](https://www.anchorterminal.com/compare/deeptutor-vs-qwenpaw.md)\n- [Del vs LearnHarness](https://www.anchorterminal.com/compare/del-vs-learnharness.md)\n- [folk vs LearnHarness](https://www.anchorterminal.com/compare/folk-nozomio-vs-learnharness.md)\n- [GAIA vs LearnHarness](https://www.anchorterminal.com/compare/gaia-vs-learnharness.md)\n- [Gemini Spark vs LearnHarness](https://www.anchorterminal.com/compare/gemini-spark-vs-learnharness.md)\n- [Grok Bot vs LearnHarness](https://www.anchorterminal.com/compare/grok-bot-vs-learnharness.md)\n- [Hark Pro vs LearnHarness](https://www.anchorterminal.com/compare/hark-pro-vs-learnharness.md)\n- [Hark Pro vs QwenPaw](https://www.anchorterminal.com/compare/hark-pro-vs-qwenpaw.md)\n- [Haven vs LearnHarness](https://www.anchorterminal.com/compare/haven-vs-learnharness.md)\n- [Hermes Agent vs LearnHarness](https://www.anchorterminal.com/compare/hermes-agent-vs-learnharness.md)\n- [HireAlpha vs LearnHarness](https://www.anchorterminal.com/compare/hirealpha-vs-learnharness.md)\n- [Instinct vs LearnHarness](https://www.anchorterminal.com/compare/instinct-vs-learnharness.md)\n- [IronClaw vs 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 OpenClaw](https://www.anchorterminal.com/compare/learnharness-vs-openclaw.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 Orbits](https://www.anchorterminal.com/compare/learnharness-vs-orbits.md)\n- [LearnHarness vs Orchid](https://www.anchorterminal.com/compare/learnharness-vs-orchid-ai.md)\n- [LearnHarness vs Pally](https://www.anchorterminal.com/compare/learnharness-vs-pally.md)\n- [LearnHarness vs PicoClaw](https://www.anchorterminal.com/compare/learnharness-vs-picoclaw.md)\n- [LearnHarness vs Poke](https://www.anchorterminal.com/compare/learnharness-vs-poke.md)\n- [LearnHarness vs szn](https://www.anchorterminal.com/compare/learnharness-vs-szn.md)\n- [LearnHarness vs Tab](https://www.anchorterminal.com/compare/learnharness-vs-tab-bot.md)\n- [LearnHarness vs Talorys](https://www.anchorterminal.com/compare/learnharness-vs-talorys.md)\n- [LearnHarness vs Tasker AI](https://www.anchorterminal.com/compare/learnharness-vs-tasker-ai.md)\n- [LearnHarness vs 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- [QwenPaw vs Talorys](https://www.anchorterminal.com/compare/qwenpaw-vs-talorys.md)\n- [Lobby vs QwenPaw](https://www.anchorterminal.com/compare/lobby-os-vs-qwenpaw.md)\n- [Natura tinyNature vs QwenPaw](https://www.anchorterminal.com/compare/natura-vs-qwenpaw.md)\n- [Pally vs QwenPaw](https://www.anchorterminal.com/compare/pally-vs-qwenpaw.md)\n- [QwenPaw vs Tomo](https://www.anchorterminal.com/compare/qwenpaw-vs-tomo.md)\n- [QwenPaw vs Wajo (Fo)](https://www.anchorterminal.com/compare/qwenpaw-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 QwenPaw", "url": "" } ], "description": "QwenPaw scores 62.4 (B) to LearnHarness's 59.3 (C) for assistants that remember you. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "LearnHarness C 59.3", "QwenPaw B 62.4", "scores" ], "h1": "LearnHarness vs QwenPaw", "image": "https://www.anchorterminal.com/assets/og/compare-learnharness-vs-qwenpaw.png", "path": "/compare/learnharness-vs-qwenpaw", "published": "2026-10-01", "section": "tools", "title": "LearnHarness vs QwenPaw for AI agents in 2026: scores and prices", "toc": null, "updated": "2026-10-30", "url": "https://www.anchorterminal.com/compare/learnharness-vs-qwenpaw" }, "tokens": { "markdown": 3900, "slim": 630 }, "version": 1 }