{ "data": { "a": { "slug": "instinct", "name": "Instinct", "vendor": "Spear Street Technology, Inc.", "vendorUrl": "https://instinct.com", "kind": "platform", "category": "personal-assistants", "summary": "Hosted personal assistant from Spear Street Technology, Inc., trading as Instinct, that a person texts or calls. It acts in connected accounts such as Google Workspace and on websites, including purchases and bookings.", "url": "https://www.anchorterminal.com/tools/instinct", "markdownUrl": "https://www.anchorterminal.com/tools/instinct.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/instinct.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/instinct.json", "license": "Proprietary service under Instinct's Terms of Service, which grant personal use only", "transports": [], "packages": [], "auth": "mixed", "authNotes": "A person signs in at app.instinct.com with a phone number and a one-time passcode sent by text. The terms also allow an account linked to Apple, Facebook or Google. Google Workspace is connected through Google's APIs and can be revoked in settings or by asking the assistant. The owner may also give the assistant usernames and passwords for other sites. No API key, token or other credential for a program was found (https://instinct.com/legal/sms-terms.html; https://instinct.com/terms; https://instinct.com/privacy-policy).", "pricing": "paid", "pricingNotes": "No price is published. The terms say fees may apply to certain functions, are charged in US dollars to a card through a payment processor and are non-refundable. Whether any use is free was not established, and sign-up may put a person on a waiting list (https://instinct.com/terms, section 4; https://instinct.com/legal/sms-terms.html, checked 2026-10-12).", "priceSummary": "Paid", "where": "local", "x402": { "level": "no", "evidence": "No x402, MPP or L402 on the home page, terms or privacy policy, and no API was found (checked 2026-10-12).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-12" }, "capabilities": [ "assistant.proactive", "assistant.messaging", "assistant.accounts", "assistant.memory" ], "tags": [ "hosted", "closed-source", "sms", "voice-call", "google-workspace", "computer-use", "waitlist", "no-public-pricing", "no-api", "security-txt", "trains-on-data-by-default" ], "graded": true, "anchor": { "graded": true, "score": 11.4, "grade": "F", "agentReady": false, "rank": 984, "ranked": true, "rankOf": 986, "categoryRank": 20, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 5, "maintenance": 3, "payments": 0, "reliability": 5, "schema": 3, "security": 25, "transparency": 51 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "low", "date": "2026-10-12" }, "negative": 0, "verdict": "The terms and privacy policy are specific about connected accounts, model training and the risks of autonomous actions, and security.txt is valid. No price, documentation, status page, changelog or programmatic interface is published, and customer content trains AI models unless the owner opts out.", "bestFor": "A consumer assistant for one adult who wants errands done by text or phone call, such as bill disputes, gifts, groceries, appointments and travel, and who accepts that it acts and spends as their agent.", "strengths": [ "The privacy policy lists the Google Workspace products accessed and says that data is not used to train or improve AI models", "Training on customer content has an opt-out at app.instinct.com/settings, and material placed in the Vault is excluded from training", "Indexed data from connected services can be deleted at app.instinct.com/workspace, and Google access revoked in settings or by asking the assistant", "security.txt is valid until 18 February 2027 and names a contact address", "The privacy policy states the risks of unintended payments, unintended messages and misleading instructions from third parties" ], "weaknesses": [ "No price is published. The terms say fees may apply to certain functions, are charged in US dollars and are non-refundable", "No documentation, API, MCP server, status page or changelog was found on instinct.com", "Customer content trains the vendor's AI models by default, and content flagged for safety review may be used after an opt-out", "The terms appoint the assistant as the owner's agent to make purchases and accept third-party terms, and leave responsibility for every action with the owner", "The owner may hand over usernames, passwords and card details. Where they are stored is not stated", "The terms forbid bots, scrapers and benchmarking, and limit the service to personal use" ], "agentNotes": [ "Do not plan on calling Instinct from a program. No API, MCP server or key was found, and the terms forbid automation software and benchmarking", "A person signs in at app.instinct.com with a phone number and a one-time code by text, and may wait for a place when the service is at capacity", "Tell the owner to opt out of model training at app.instinct.com/settings before connecting mail or files, since training is on by default", "Disconnecting an account does not delete what was indexed from it. Delete that data at app.instinct.com/workspace", "Treat purchases and bookings as final. The terms say actions may not be reversible and that confirmation controls are not guaranteed" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "low", "grade": "F", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 11.4 } ], "editorialScores": { "ergonomics": 5, "maintenance": 3, "payments": 0, "reliability": 5, "schema": 3, "security": 25, "transparency": 30 }, "provenanceScore": 72 }, "letme": { "capability": "https://letme.dev/assistant.proactive", "tool": "https://letme.dev/instinct" }, "area": "frameworks", "provenance": { "legalEntity": "Spear Street Technology, Inc. d/b/a Instinct", "domain": "instinct.com", "domainRegistered": "1997-05-20", "endpointOnVendorDomain": true, "terms": "https://instinct.com/terms", "privacy": "https://instinct.com/privacy-policy", "statusPage": "", "changelog": "", "securityTxt": "valid", "checked": "2026-10-12", "notes": [ "The Terms of Service and Privacy Policy, both last revised 26 August 2026, name Spear Street Technology, Inc. d/b/a Instinct. No postal address is given on the pages read. The terms are governed by California law with San Francisco courts.", "The terms cover the website, its subdomains and the apps, so they govern the assistant itself and are not website-only terms. An Acceptable Use Policy (20 August 2026), SMS/Text Messaging Terms (17 August 2026) and an SMS/Text Messaging Privacy Statement (6 July 2026) supplement them.", "instinct.com/.well-known/security.txt gives Contact support@instinct.com, Expires 2027-02-18 and a Canonical line. It has no Policy line.", "RDAP at Verisign gives a registration date of 1997-05-20 for instinct.com, NameCheap, Inc. as registrar and a last change on 2 September 2026. The domain is older than the product's 2026 legal documents, so its age says little about the vendor.", "No status page and no changelog are linked from the home page, the terms or the privacy policy.", "The sign-in and the web app are at app.instinct.com, on the vendor's domain. The home page gives comms[at]instinct[dot]com as a contact." ], "score": 72 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/instinct.json" }, "answer": "QwenPaw scores 62.2 (B) on agent readiness against Instinct's 11.4 (F), and leads in every scored category.", "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": 62.2, "grade": "B", "agentReady": false, "rank": 454, "ranked": true, "rankOf": 986, "categoryRank": 7, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 67, "maintenance": 73, "payments": 60, "reliability": 70, "schema": 68, "security": 60, "transparency": 56 }, "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": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "B", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 62.2 } ], "editorialScores": { "ergonomics": 67, "maintenance": 73, "payments": 60, "reliability": 70, "schema": 68, "security": 60, "transparency": 58 }, "provenanceScore": 53 }, "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": 53 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/qwenpaw.json" }, "facts": [ { "a": "Platform", "b": "Agent harness", "name": "Kind" }, { "a": "Spear Street Technology, Inc.", "b": "AgentScope", "name": "Vendor" }, { "a": "no (local only)", "b": "no (local only)", "name": "Hosted endpoint" }, { "a": "", "b": "HTTP, stdio", "name": "Transports" }, { "a": "OAuth or key", "b": "None", "name": "Auth" }, { "a": "Paid", "b": "Free", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Proprietary service under Instinct's Terms of Service, which grant personal use only", "b": "Apache-2.0", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "no", "b": "no", "name": "llms.txt" }, { "a": "none", "b": "2026-09-11", "name": "Last release" }, { "a": "2026-08-26", "b": "no document linked", "name": "Terms last updated" }, { "a": "2026-08-26", "b": "no document linked", "name": "Privacy policy last updated" }, { "a": "yes, with an opt-out", "b": "", "name": "Customer content may train models" }, { "a": "yes", "b": "", "name": "Terms restrict automated access" }, { "a": "yes", "b": "", "name": "Terms restrict benchmarking" }, { "a": "not found in the text", "b": "", "name": "Terms or service can change without notice" }, { "a": "yes", "b": "", "name": "Arbitration or class-action waiver" }, { "a": "none", "b": "36k stars", "name": "Popularity" } ], "faq": [ { "answer": "QwenPaw scores 62.2 (B) on agent readiness against Instinct's 11.4 (F), and leads in every scored category.", "question": "Which is better for AI agents, Instinct or QwenPaw?" }, { "answer": "No open-source release is listed for Instinct. QwenPaw is open source (Apache-2.0).", "question": "Are Instinct and QwenPaw open source?" } ], "goodFor": [ { "aheadOn": null, "also": [ "No incidents deducted, where QwenPaw loses 3 points for them" ], "goodFor": "A consumer assistant for one adult who wants errands done by text or phone call, such as bill disputes, gifts, groceries, appointments and travel, and who accepts that it acts and spends as their agent.", "slug": "instinct", "watchFor": "No price is published. The terms say fees may apply to certain functions, are charged in US dollars and are non-refundable" }, { "aheadOn": [ "Reliability, 70 against 5", "Schema \u0026 documentation, 68 against 3", "Agent ergonomics, 67 against 5", "Security \u0026 auth, 60 against 25", "Payments \u0026 pricing, 60 against 0", "Maintenance \u0026 community, 73 against 3", "Transparency \u0026 trust, 56 against 51" ], "also": [ "No key needed to call it", "Runs on your own machine", "Open source" ], "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.proactive", "name": "Assistant proactive" }, "others": [ { "json": "https://www.anchorterminal.com/compare/astrbot-vs-instinct.json", "title": "AstrBot vs Instinct", "url": "https://www.anchorterminal.com/compare/astrbot-vs-instinct" }, { "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/cowagent-vs-instinct.json", "title": "CowAgent vs Instinct", "url": "https://www.anchorterminal.com/compare/cowagent-vs-instinct" }, { "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/gaia-vs-instinct.json", "title": "GAIA vs Instinct", "url": "https://www.anchorterminal.com/compare/gaia-vs-instinct" }, { "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-instinct.json", "title": "Gemini Spark vs Instinct", "url": "https://www.anchorterminal.com/compare/gemini-spark-vs-instinct" }, { "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-instinct.json", "title": "Grok Bot vs Instinct", "url": "https://www.anchorterminal.com/compare/grok-bot-vs-instinct" }, { "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-instinct.json", "title": "Haven vs Instinct", "url": "https://www.anchorterminal.com/compare/haven-vs-instinct" }, { "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-instinct.json", "title": "Hermes Agent vs Instinct", "url": "https://www.anchorterminal.com/compare/hermes-agent-vs-instinct" }, { "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-ironclaw.json", "title": "Instinct vs IronClaw", "url": "https://www.anchorterminal.com/compare/instinct-vs-ironclaw" }, { "json": "https://www.anchorterminal.com/compare/instinct-vs-leon.json", "title": "Instinct vs Leon", "url": "https://www.anchorterminal.com/compare/instinct-vs-leon" }, { "json": "https://www.anchorterminal.com/compare/instinct-vs-lindy.json", "title": "Instinct vs Lindy", "url": "https://www.anchorterminal.com/compare/instinct-vs-lindy" }, { "json": "https://www.anchorterminal.com/compare/instinct-vs-nanobot.json", "title": "Instinct vs nanobot", "url": "https://www.anchorterminal.com/compare/instinct-vs-nanobot" }, { "json": "https://www.anchorterminal.com/compare/instinct-vs-nanoclaw.json", "title": "Instinct vs NanoClaw", "url": "https://www.anchorterminal.com/compare/instinct-vs-nanoclaw" }, { "json": "https://www.anchorterminal.com/compare/instinct-vs-openai-dots.json", "title": "Instinct vs Dots", "url": "https://www.anchorterminal.com/compare/instinct-vs-openai-dots" }, { "json": "https://www.anchorterminal.com/compare/instinct-vs-openclaw.json", "title": "Instinct vs OpenClaw", "url": "https://www.anchorterminal.com/compare/instinct-vs-openclaw" }, { "json": "https://www.anchorterminal.com/compare/instinct-vs-picoclaw.json", "title": "Instinct vs PicoClaw", "url": "https://www.anchorterminal.com/compare/instinct-vs-picoclaw" }, { "json": "https://www.anchorterminal.com/compare/instinct-vs-poke.json", "title": "Instinct vs Poke", "url": "https://www.anchorterminal.com/compare/instinct-vs-poke" }, { "json": "https://www.anchorterminal.com/compare/instinct-vs-zeroclaw.json", "title": "Instinct vs ZeroClaw", "url": "https://www.anchorterminal.com/compare/instinct-vs-zeroclaw" }, { "json": "https://www.anchorterminal.com/compare/instinct-vs-zo-computer.json", "title": "Instinct vs Zo Computer", "url": "https://www.anchorterminal.com/compare/instinct-vs-zo-computer" }, { "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/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-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" } ], "scores": [ { "by": 65, "edge": "qwenpaw", "instinct": 5, "key": "reliability", "name": "Reliability", "qwenpaw": 70, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 65, "edge": "qwenpaw", "instinct": 3, "key": "schema", "name": "Schema \u0026 documentation", "qwenpaw": 68, "weight": 13 }, { "by": 62, "edge": "qwenpaw", "instinct": 5, "key": "ergonomics", "name": "Agent ergonomics", "qwenpaw": 67, "weight": 13 }, { "by": 35, "edge": "qwenpaw", "instinct": 25, "key": "security", "name": "Security \u0026 auth", "qwenpaw": 60, "weight": 14 }, { "by": 60, "edge": "qwenpaw", "instinct": 0, "key": "payments", "name": "Payments \u0026 pricing", "qwenpaw": 60, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 70, "edge": "qwenpaw", "instinct": 3, "key": "maintenance", "name": "Maintenance \u0026 community", "qwenpaw": 73, "weight": 7 }, { "by": 5, "edge": "qwenpaw", "instinct": 51, "key": "transparency", "name": "Transparency \u0026 trust", "qwenpaw": 56, "weight": 7 } ], "summary": "QwenPaw scores 62.2 (B) on agent readiness against Instinct's 11.4 (F), and leads in every scored category. Both do assistant proactive.", "verdicts": { "instinct": "The terms and privacy policy are specific about connected accounts, model training and the risks of autonomous actions, and security.txt is valid. No price, documentation, status page, changelog or programmatic interface is published, and customer content trains AI models unless the owner opts out.", "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/instinct-vs-qwenpaw", "json": "https://www.anchorterminal.com/compare/instinct-vs-qwenpaw.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/instinct-vs-qwenpaw.md", "slim": "https://www.anchorterminal.com/compare/instinct-vs-qwenpaw.min.md" }, "markdown": "QwenPaw scores 62.2 (B) on agent readiness against Instinct's 11.4 (F), and leads in every scored category. Both do assistant proactive.\n\n- Instinct: grade F, 11.4/100, rank #984 of 986. Markdown https://www.anchorterminal.com/tools/instinct.md · JSON https://www.anchorterminal.com/api/v1/tools/instinct.json\n- QwenPaw: grade B, 62.2/100, rank #454 of 986. 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 190 assistants comparisons: https://www.anchorterminal.com/compare/personal-assistants/index.md\n\n## Which one, for what\n\n### Instinct (F)\n\nGood for: A consumer assistant for one adult who wants errands done by text or phone call, such as bill disputes, gifts, groceries, appointments and travel, and who accepts that it acts and spends as their agent.\n\nAlso in its favour:\n- No incidents deducted, where QwenPaw loses 3 points for them\n\nWatch for: No price is published. The terms say fees may apply to certain functions, are charged in US dollars and are non-refundable\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 5\n- Schema \u0026 documentation, 68 against 3\n- Agent ergonomics, 67 against 5\n- Security \u0026 auth, 60 against 25\n- Payments \u0026 pricing, 60 against 0\n- Maintenance \u0026 community, 73 against 3\n- Transparency \u0026 trust, 56 against 51\n\nAlso in its favour:\n- No key needed to call it\n- Runs on your own machine\n- Open source\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 | Instinct | QwenPaw | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 5 | 70 | QwenPaw +65 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 3 | 68 | QwenPaw +65 |\n| Agent ergonomics | 13% (16.2 this run) | 5 | 67 | QwenPaw +62 |\n| Security \u0026 auth | 14% (17.5 this run) | 25 | 60 | QwenPaw +35 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 0 | 60 | QwenPaw +60 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 3 | 73 | QwenPaw +70 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 51 | 56 | QwenPaw +5 |\n| Negative events | ≤15 | 0 | -3 | |\n| **Total** | | **11.4 · F** | **62.2 · B** | |\n\n## Facts side by side\n\n| Fact | Instinct | QwenPaw |\n| --- | --- | --- |\n| Kind | Platform | Agent harness |\n| Vendor | Spear Street Technology, Inc. | AgentScope |\n| Hosted endpoint | no (local only) | no (local only) |\n| Transports | | HTTP, stdio |\n| Auth | OAuth or key | None |\n| Pricing | Paid | Free |\n| x402 | no | no |\n| Licence | Proprietary service under Instinct's Terms of Service, which grant personal use only | Apache-2.0 |\n| Read-only variant documented | no | no |\n| llms.txt | no | no |\n| Last release | none | 2026-09-11 |\n| Terms last updated | 2026-08-26 | no document linked |\n| Privacy policy last updated | 2026-08-26 | no document linked |\n| Customer content may train models | yes, with an opt-out | |\n| Terms restrict automated access | yes | |\n| Terms restrict benchmarking | yes | |\n| Terms or service can change without notice | not found in the text | |\n| Arbitration or class-action waiver | yes | |\n| Popularity | none | 36k stars |\n\n## Verdicts\n\n**Instinct.** The terms and privacy policy are specific about connected accounts, model training and the risks of autonomous actions, and security.txt is valid. No price, documentation, status page, changelog or programmatic interface is published, and customer content trains AI models unless the owner opts out.\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### Instinct\n\n1. Do not plan on calling Instinct from a program. No API, MCP server or key was found, and the terms forbid automation software and benchmarking\n2. A person signs in at app.instinct.com with a phone number and a one-time code by text, and may wait for a place when the service is at capacity\n3. Tell the owner to opt out of model training at app.instinct.com/settings before connecting mail or files, since training is on by default\n4. Disconnecting an account does not delete what was indexed from it. Delete that data at app.instinct.com/workspace\n5. Treat purchases and bookings as final. The terms say actions may not be reversible and that confirmation controls are not guaranteed\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, Instinct or QwenPaw?\n\nQwenPaw scores 62.2 (B) on agent readiness against Instinct's 11.4 (F), and leads in every scored category.\n\n### Are Instinct and QwenPaw open source?\n\nNo open-source release is listed for Instinct. QwenPaw is open source (Apache-2.0).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/instinct-vs-qwenpaw.json, and with the fewest tokens: https://www.anchorterminal.com/compare/instinct-vs-qwenpaw.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"instinct\", \"b\": \"qwenpaw\"}`. From a terminal: `anchor compare instinct qwenpaw`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/instinct.json and https://www.anchorterminal.com/api/v1/tools/qwenpaw.json\n\n## Other comparisons with Instinct or QwenPaw\n\n- [AstrBot vs Instinct](https://www.anchorterminal.com/compare/astrbot-vs-instinct.md)\n- [AstrBot vs QwenPaw](https://www.anchorterminal.com/compare/astrbot-vs-qwenpaw.md)\n- [CowAgent vs Instinct](https://www.anchorterminal.com/compare/cowagent-vs-instinct.md)\n- [CowAgent vs QwenPaw](https://www.anchorterminal.com/compare/cowagent-vs-qwenpaw.md)\n- [GAIA vs Instinct](https://www.anchorterminal.com/compare/gaia-vs-instinct.md)\n- [GAIA vs QwenPaw](https://www.anchorterminal.com/compare/gaia-vs-qwenpaw.md)\n- [Gemini Spark vs Instinct](https://www.anchorterminal.com/compare/gemini-spark-vs-instinct.md)\n- [Gemini Spark vs QwenPaw](https://www.anchorterminal.com/compare/gemini-spark-vs-qwenpaw.md)\n- [Grok Bot vs Instinct](https://www.anchorterminal.com/compare/grok-bot-vs-instinct.md)\n- [Grok Bot vs QwenPaw](https://www.anchorterminal.com/compare/grok-bot-vs-qwenpaw.md)\n- [Haven vs Instinct](https://www.anchorterminal.com/compare/haven-vs-instinct.md)\n- [Haven vs QwenPaw](https://www.anchorterminal.com/compare/haven-vs-qwenpaw.md)\n- [Hermes Agent vs Instinct](https://www.anchorterminal.com/compare/hermes-agent-vs-instinct.md)\n- [Hermes Agent vs QwenPaw](https://www.anchorterminal.com/compare/hermes-agent-vs-qwenpaw.md)\n- [Instinct vs IronClaw](https://www.anchorterminal.com/compare/instinct-vs-ironclaw.md)\n- [Instinct vs Leon](https://www.anchorterminal.com/compare/instinct-vs-leon.md)\n- [Instinct vs Lindy](https://www.anchorterminal.com/compare/instinct-vs-lindy.md)\n- [Instinct vs nanobot](https://www.anchorterminal.com/compare/instinct-vs-nanobot.md)\n- [Instinct vs NanoClaw](https://www.anchorterminal.com/compare/instinct-vs-nanoclaw.md)\n- [Instinct vs Dots](https://www.anchorterminal.com/compare/instinct-vs-openai-dots.md)\n- [Instinct vs OpenClaw](https://www.anchorterminal.com/compare/instinct-vs-openclaw.md)\n- [Instinct vs PicoClaw](https://www.anchorterminal.com/compare/instinct-vs-picoclaw.md)\n- [Instinct vs Poke](https://www.anchorterminal.com/compare/instinct-vs-poke.md)\n- [Instinct vs ZeroClaw](https://www.anchorterminal.com/compare/instinct-vs-zeroclaw.md)\n- [Instinct vs Zo Computer](https://www.anchorterminal.com/compare/instinct-vs-zo-computer.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- [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 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", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-12", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.4", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "Compare", "url": "https://www.anchorterminal.com/compare/" }, { "name": "Instinct vs QwenPaw", "url": "" } ], "description": "QwenPaw scores 62.2 (B) to Instinct's 11.4 (F) for assistant proactive. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "Instinct F 11.4", "QwenPaw B 62.2", "scores" ], "h1": "Instinct vs QwenPaw", "image": "https://www.anchorterminal.com/assets/og/compare-instinct-vs-qwenpaw.png", "path": "/compare/instinct-vs-qwenpaw", "published": "2026-10-01", "section": "tools", "title": "Instinct vs QwenPaw for AI agents in 2026: scores and prices", "toc": null, "updated": "2026-10-12", "url": "https://www.anchorterminal.com/compare/instinct-vs-qwenpaw" }, "tokens": { "markdown": 2600, "slim": 680 }, "version": 1 }