{
  "data": {
    "a": {
      "slug": "lindy",
      "name": "Lindy",
      "vendor": "Crivello Corp (doing business as Lindy)",
      "vendorUrl": "https://www.lindy.ai",
      "kind": "platform",
      "category": "personal-assistants",
      "summary": "Lindy is a hosted AI assistant from Crivello Corp. Each user has a private assistant for mail, calendar and meetings, reached by Slack, iMessage, SMS, email or the web app, and a team shares a second one in Slack channels.",
      "url": "https://www.anchorterminal.com/tools/lindy",
      "markdownUrl": "https://www.anchorterminal.com/tools/lindy.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/lindy.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/lindy.json",
      "license": "Proprietary service under Lindy's Terms of Service. No source is published",
      "transports": [],
      "packages": [],
      "auth": "oauth",
      "authNotes": "A person signs in with Google or Microsoft and connects mail and calendar from either, a phone number verified by code, and Slack through an app an owner or admin installs. Other tools connect by OAuth or an API key, and every action for a tool turns on at once with no scope choice in Lindy. A connection is personal until an owner or admin shares it with the workspace, after which everyone's Lindy works as that account. Saved API keys are write-only and can be rotated or revoked. No public API or key for outside callers was found in the docs.",
      "pricing": "paid",
      "pricingNotes": "$29.99 per active user a month with 3,000 credits, pooled across the workspace, and larger monthly credit amounts up to 1,750,000 for $9,999.50. Top-ups are $10 per 1,000 credits and do not expire, while monthly credits do not roll over. New accounts get $50 of credit for seven days with no card. The pricing page gives 2 to 250 credits for an everyday request and 1,000 to 2,500 for a large build. The docs name Plus, Pro and Max plans priced only inside the app, which the pricing page does not list (checked 2026-10-12).",
      "priceSummary": "$29.99 / seat-mo",
      "where": "local",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 on the pricing page, the terms or the docs (checked 2026-10-12).",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": null,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-10-12"
      },
      "docsUrl": "https://docs.lindy.ai",
      "llmsTxt": "https://docs.lindy.ai/llms.txt",
      "capabilities": [
        "assistant.proactive",
        "assistant.messaging",
        "assistant.accounts",
        "assistant.memory",
        "agent.mcp-client"
      ],
      "tags": [
        "hosted",
        "closed-source",
        "paid",
        "free-trial",
        "no-card",
        "slack",
        "imessage",
        "sms",
        "email",
        "chrome-extension",
        "mcp-client",
        "approvals",
        "llms-txt",
        "soc2",
        "team"
      ],
      "lastRelease": "2025-10-21",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 32.3,
        "grade": "F",
        "agentReady": false,
        "rank": 968,
        "ranked": true,
        "rankOf": 986,
        "categoryRank": 16,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 43,
          "maintenance": 9,
          "payments": 35,
          "reliability": 24,
          "schema": 32,
          "security": 49,
          "transparency": 52
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-12"
        },
        "negative": -3,
        "negativeNotes": [
          "2026-10-12. The pricing page and the docs pricing page answer the question of whether Lindy does anything without approval with No, and say anything with outside impact waits for approval. The integrations page says approval settings apply in shared Slack threads only, that web chat, Slack direct messages, iMessage and SMS are not guarded, and that an integration can be set to always allow writes (https://www.lindy.ai/pricing, https://docs.lindy.ai/pricing.md, https://docs.lindy.ai/integrations/overview.md). 3 points for a misleading claim."
        ],
        "verdict": "Lindy keeps what it remembers in files the owner can read and edit, and publishes credit prices. Its approval setting applies in shared Slack threads only, so writes asked for by direct message, text or web chat run unasked, which its pricing page does not say. It has no status page, and its changelog stops in October 2025.",
        "bestFor": "Lindy suits a person or small team that lives in Slack and Google or Microsoft mail and wants briefs, drafts, scheduling and meeting notes done on a schedule.",
        "strengths": [
          "Memory is a set of plain files in the web app, split into Personal, Team and System scopes, which the owner can read, edit and restore by version.",
          "Each integration has a setting that makes Lindy ask in Slack before writing, or stops it writing with that tool at all.",
          "Saved API keys are write-only. The docs say a value cannot be read back in the app, through the API or by asking Lindy, and keys can be rotated or revoked.",
          "The privacy policy of 28 September 2026 names its processors by category, among them Anthropic, OpenAI, Perplexity AI, Pipedream, WorkOS, Twilio and Recall.ai.",
          "Credit prices are public. A seat is $29.99 a month with 3,000 credits, top-ups are $10 per 1,000, and new accounts get $50 of credit with no card."
        ],
        "weaknesses": [
          "The integrations page says approval settings apply in shared Slack threads only. Web chat, Slack direct messages, iMessage and SMS are not covered, and reads are never covered.",
          "The pricing page and the docs pricing page both answer that Lindy does nothing with outside impact without approval, which the integrations page contradicts.",
          "No status page, uptime record or SLA was found on the site or in the docs.",
          "The public changelog's newest entry is dated 21 October 2025, and it describes an agent builder the current docs no longer cover.",
          "Deleting a memory file keeps its earlier versions, and no way to purge them or a retention period was found. The privacy policy gives no period either.",
          "The terms of 24 September 2026 forbid automated use of the system and use for any commercial enterprise, in a product sold to companies. This matters before any probe is run."
        ],
        "agentNotes": [
          "Treat a request sent by direct message, text or web chat as unguarded. Approval prompts appear in shared Slack threads only.",
          "Run a routine as a dry run before turning it on. A dry run reads real data and sends, posts and writes nothing.",
          "Turn off unused tools after adding an MCP server. Every supported tool arrives switched on, and a large server adds more than a hundred.",
          "Expect a billed seat for anyone who mentions Lindy in Slack. A teammate who joins that way has seven free days first.",
          "Connect only hosted MCP servers on public HTTPS with streamable HTTP, the one kind the docs describe."
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 0,
        "avgRating": 0,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "F",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 32.3
          }
        ],
        "editorialScores": {
          "ergonomics": 43,
          "maintenance": 9,
          "payments": 35,
          "reliability": 24,
          "schema": 32,
          "security": 49,
          "transparency": 36
        },
        "provenanceScore": 68
      },
      "letme": {
        "capability": "https://letme.dev/assistant.proactive",
        "tool": "https://letme.dev/lindy"
      },
      "area": "frameworks",
      "unitPrices": [
        {
          "item": "Team seat",
          "unit": "seat-month",
          "usd": 29.99,
          "note": "3,000 credits a month, pooled across the workspace. Every active user is billed"
        },
        {
          "item": "Top-up credit",
          "unit": "credit",
          "usd": 0.01,
          "note": "$10 per 1,000 credits. Top-up credits do not expire, monthly credits do not roll over"
        }
      ],
      "provenance": {
        "legalEntity": "Crivello Corp (doing business as Lindy)",
        "domain": "lindy.ai",
        "domainRegistered": "2019-05-16",
        "endpointOnVendorDomain": true,
        "terms": "https://www.lindy.ai/terms-of-service",
        "privacy": "https://www.lindy.ai/privacy",
        "statusPage": "",
        "changelog": "https://www.lindy.ai/changelog",
        "securityTxt": "none",
        "checked": "2026-10-12",
        "notes": [
          "The Terms of Service, last updated 24 September 2026, name Crivello Corp, doing business as Lindy, registered in Oregon at 9450 SW Gemini Dr, Beaverton, OR 97008, and are governed by California law with binding arbitration.",
          "The terms cover the site and all related products and services. No separate service agreement or DPA was linked from the pages read.",
          "The privacy policy was last updated 28 September 2026.",
          "The web app and sign-in are at chat.lindy.ai.",
          "www.lindy.ai/.well-known/security.txt returns 404. No disclosure policy or bug bounty was found.",
          "No status page is linked from the site, the docs or the security page.",
          "RDAP gives a registration date of 2019-05-16 for lindy.ai, with NameCheap as registrar."
        ],
        "score": 68
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/lindy.json"
    },
    "answer": "QwenPaw scores 62.2 (B) on agent readiness against Lindy's 32.3 (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": "Crivello Corp (doing business as Lindy)",
        "b": "AgentScope",
        "name": "Vendor"
      },
      {
        "a": "no (local only)",
        "b": "no (local only)",
        "name": "Hosted endpoint"
      },
      {
        "a": "",
        "b": "HTTP, stdio",
        "name": "Transports"
      },
      {
        "a": "OAuth",
        "b": "None",
        "name": "Auth"
      },
      {
        "a": "Paid",
        "b": "Free",
        "name": "Pricing"
      },
      {
        "a": "no",
        "b": "no",
        "name": "x402"
      },
      {
        "a": "Proprietary service under Lindy's Terms of Service. No source is published",
        "b": "Apache-2.0",
        "name": "Licence"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "yes",
        "b": "no",
        "name": "llms.txt"
      },
      {
        "a": "2025-10-21",
        "b": "2026-09-11",
        "name": "Last release"
      },
      {
        "a": "2026-09-24",
        "b": "no document linked",
        "name": "Terms last updated"
      },
      {
        "a": "2026-09-28",
        "b": "no document linked",
        "name": "Privacy policy last updated"
      },
      {
        "a": "not found in the text",
        "b": "",
        "name": "Customer content may train models"
      },
      {
        "a": "yes",
        "b": "",
        "name": "Terms restrict automated access"
      },
      {
        "a": "yes",
        "b": "",
        "name": "Terms restrict benchmarking"
      },
      {
        "a": "yes",
        "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 Lindy's 32.3 (F), and leads in every scored category.",
        "question": "Which is better for AI agents, Lindy or QwenPaw?"
      },
      {
        "answer": "No open-source release is listed for Lindy. QwenPaw is open source (Apache-2.0).",
        "question": "Are Lindy and QwenPaw open source?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": null,
        "also": [
          "Free to start without a card"
        ],
        "goodFor": "Lindy suits a person or small team that lives in Slack and Google or Microsoft mail and wants briefs, drafts, scheduling and meeting notes done on a schedule.",
        "slug": "lindy",
        "watchFor": "The integrations page says approval settings apply in shared Slack threads only. Web chat, Slack direct messages, iMessage and SMS are not covered, and reads are never covered."
      },
      {
        "aheadOn": [
          "Reliability, 70 against 24",
          "Schema \u0026 documentation, 68 against 32",
          "Agent ergonomics, 67 against 43",
          "Security \u0026 auth, 60 against 49",
          "Payments \u0026 pricing, 60 against 35",
          "Maintenance \u0026 community, 73 against 9"
        ],
        "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-lindy.json",
        "title": "AstrBot vs Lindy",
        "url": "https://www.anchorterminal.com/compare/astrbot-vs-lindy"
      },
      {
        "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-lindy.json",
        "title": "CowAgent vs Lindy",
        "url": "https://www.anchorterminal.com/compare/cowagent-vs-lindy"
      },
      {
        "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-lindy.json",
        "title": "GAIA vs Lindy",
        "url": "https://www.anchorterminal.com/compare/gaia-vs-lindy"
      },
      {
        "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-lindy.json",
        "title": "Gemini Spark vs Lindy",
        "url": "https://www.anchorterminal.com/compare/gemini-spark-vs-lindy"
      },
      {
        "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-lindy.json",
        "title": "Grok Bot vs Lindy",
        "url": "https://www.anchorterminal.com/compare/grok-bot-vs-lindy"
      },
      {
        "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-lindy.json",
        "title": "Haven vs Lindy",
        "url": "https://www.anchorterminal.com/compare/haven-vs-lindy"
      },
      {
        "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-lindy.json",
        "title": "Hermes Agent vs Lindy",
        "url": "https://www.anchorterminal.com/compare/hermes-agent-vs-lindy"
      },
      {
        "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-lindy.json",
        "title": "Instinct vs Lindy",
        "url": "https://www.anchorterminal.com/compare/instinct-vs-lindy"
      },
      {
        "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-lindy.json",
        "title": "IronClaw vs Lindy",
        "url": "https://www.anchorterminal.com/compare/ironclaw-vs-lindy"
      },
      {
        "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-lindy.json",
        "title": "Leon vs Lindy",
        "url": "https://www.anchorterminal.com/compare/leon-vs-lindy"
      },
      {
        "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-nanobot.json",
        "title": "Lindy vs nanobot",
        "url": "https://www.anchorterminal.com/compare/lindy-vs-nanobot"
      },
      {
        "json": "https://www.anchorterminal.com/compare/lindy-vs-nanoclaw.json",
        "title": "Lindy vs NanoClaw",
        "url": "https://www.anchorterminal.com/compare/lindy-vs-nanoclaw"
      },
      {
        "json": "https://www.anchorterminal.com/compare/lindy-vs-openai-dots.json",
        "title": "Lindy vs Dots",
        "url": "https://www.anchorterminal.com/compare/lindy-vs-openai-dots"
      },
      {
        "json": "https://www.anchorterminal.com/compare/lindy-vs-openclaw.json",
        "title": "Lindy vs OpenClaw",
        "url": "https://www.anchorterminal.com/compare/lindy-vs-openclaw"
      },
      {
        "json": "https://www.anchorterminal.com/compare/lindy-vs-picoclaw.json",
        "title": "Lindy vs PicoClaw",
        "url": "https://www.anchorterminal.com/compare/lindy-vs-picoclaw"
      },
      {
        "json": "https://www.anchorterminal.com/compare/lindy-vs-poke.json",
        "title": "Lindy vs Poke",
        "url": "https://www.anchorterminal.com/compare/lindy-vs-poke"
      },
      {
        "json": "https://www.anchorterminal.com/compare/lindy-vs-zeroclaw.json",
        "title": "Lindy vs ZeroClaw",
        "url": "https://www.anchorterminal.com/compare/lindy-vs-zeroclaw"
      },
      {
        "json": "https://www.anchorterminal.com/compare/lindy-vs-zo-computer.json",
        "title": "Lindy vs Zo Computer",
        "url": "https://www.anchorterminal.com/compare/lindy-vs-zo-computer"
      },
      {
        "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": 46,
        "edge": "qwenpaw",
        "key": "reliability",
        "lindy": 24,
        "name": "Reliability",
        "qwenpaw": 70,
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "by": 36,
        "edge": "qwenpaw",
        "key": "schema",
        "lindy": 32,
        "name": "Schema \u0026 documentation",
        "qwenpaw": 68,
        "weight": 13
      },
      {
        "by": 24,
        "edge": "qwenpaw",
        "key": "ergonomics",
        "lindy": 43,
        "name": "Agent ergonomics",
        "qwenpaw": 67,
        "weight": 13
      },
      {
        "by": 11,
        "edge": "qwenpaw",
        "key": "security",
        "lindy": 49,
        "name": "Security \u0026 auth",
        "qwenpaw": 60,
        "weight": 14
      },
      {
        "by": 25,
        "edge": "qwenpaw",
        "key": "payments",
        "lindy": 35,
        "name": "Payments \u0026 pricing",
        "qwenpaw": 60,
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 64,
        "edge": "qwenpaw",
        "key": "maintenance",
        "lindy": 9,
        "name": "Maintenance \u0026 community",
        "qwenpaw": 73,
        "weight": 7
      },
      {
        "by": 4,
        "edge": "qwenpaw",
        "key": "transparency",
        "lindy": 52,
        "name": "Transparency \u0026 trust",
        "qwenpaw": 56,
        "weight": 7
      }
    ],
    "summary": "QwenPaw scores 62.2 (B) on agent readiness against Lindy's 32.3 (F), and leads in every scored category. Both do assistant proactive.",
    "verdicts": {
      "lindy": "Lindy keeps what it remembers in files the owner can read and edit, and publishes credit prices. Its approval setting applies in shared Slack threads only, so writes asked for by direct message, text or web chat run unasked, which its pricing page does not say. It has no status page, and its changelog stops in October 2025.",
      "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."
    }
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    "html": "https://www.anchorterminal.com/compare/lindy-vs-qwenpaw",
    "json": "https://www.anchorterminal.com/compare/lindy-vs-qwenpaw.json",
    "llms": "https://www.anchorterminal.com/llms.txt",
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  "markdown": "QwenPaw scores 62.2 (B) on agent readiness against Lindy's 32.3 (F), and leads in every scored category. Both do assistant proactive.\n\n- Lindy: grade F, 32.3/100, rank #968 of 986. Markdown https://www.anchorterminal.com/tools/lindy.md · JSON https://www.anchorterminal.com/api/v1/tools/lindy.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### Lindy (F)\n\nGood for: Lindy suits a person or small team that lives in Slack and Google or Microsoft mail and wants briefs, drafts, scheduling and meeting notes done on a schedule.\n\nAlso in its favour:\n- Free to start without a card\n\nWatch for: The integrations page says approval settings apply in shared Slack threads only. Web chat, Slack direct messages, iMessage and SMS are not covered, and reads are never covered.\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 24\n- Schema \u0026 documentation, 68 against 32\n- Agent ergonomics, 67 against 43\n- Security \u0026 auth, 60 against 49\n- Payments \u0026 pricing, 60 against 35\n- Maintenance \u0026 community, 73 against 9\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 | Lindy | QwenPaw | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 24 | 70 | QwenPaw +46 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 32 | 68 | QwenPaw +36 |\n| Agent ergonomics | 13% (16.2 this run) | 43 | 67 | QwenPaw +24 |\n| Security \u0026 auth | 14% (17.5 this run) | 49 | 60 | QwenPaw +11 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 35 | 60 | QwenPaw +25 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 9 | 73 | QwenPaw +64 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 52 | 56 | QwenPaw +4 |\n| Negative events | ≤15 | -3 | -3 | |\n| **Total** | | **32.3 · F** | **62.2 · B** | |\n\n## Facts side by side\n\n| Fact | Lindy | QwenPaw |\n| --- | --- | --- |\n| Kind | Platform | Agent harness |\n| Vendor | Crivello Corp (doing business as Lindy) | AgentScope |\n| Hosted endpoint | no (local only) | no (local only) |\n| Transports |  | HTTP, stdio |\n| Auth | OAuth | None |\n| Pricing | Paid | Free |\n| x402 | no | no |\n| Licence | Proprietary service under Lindy's Terms of Service. No source is published | Apache-2.0 |\n| Read-only variant documented | no | no |\n| llms.txt | yes | no |\n| Last release | 2025-10-21 | 2026-09-11 |\n| Terms last updated | 2026-09-24 | no document linked |\n| Privacy policy last updated | 2026-09-28 | no document linked |\n| Customer content may train models | not found in the text |  |\n| Terms restrict automated access | yes |  |\n| Terms restrict benchmarking | yes |  |\n| Terms or service can change without notice | yes |  |\n| Arbitration or class-action waiver | yes |  |\n| Popularity | none | 36k stars |\n\n## Verdicts\n\n**Lindy.** Lindy keeps what it remembers in files the owner can read and edit, and publishes credit prices. Its approval setting applies in shared Slack threads only, so writes asked for by direct message, text or web chat run unasked, which its pricing page does not say. It has no status page, and its changelog stops in October 2025.\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### Lindy\n\n1. Treat a request sent by direct message, text or web chat as unguarded. Approval prompts appear in shared Slack threads only.\n2. Run a routine as a dry run before turning it on. A dry run reads real data and sends, posts and writes nothing.\n3. Turn off unused tools after adding an MCP server. Every supported tool arrives switched on, and a large server adds more than a hundred.\n4. Expect a billed seat for anyone who mentions Lindy in Slack. A teammate who joins that way has seven free days first.\n5. Connect only hosted MCP servers on public HTTPS with streamable HTTP, the one kind the docs describe.\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, Lindy or QwenPaw?\n\nQwenPaw scores 62.2 (B) on agent readiness against Lindy's 32.3 (F), and leads in every scored category.\n\n### Are Lindy and QwenPaw open source?\n\nNo open-source release is listed for Lindy. QwenPaw is open source (Apache-2.0).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/lindy-vs-qwenpaw.json, and with the fewest tokens: https://www.anchorterminal.com/compare/lindy-vs-qwenpaw.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"lindy\", \"b\": \"qwenpaw\"}`. From a terminal: `anchor compare lindy qwenpaw`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/lindy.json and https://www.anchorterminal.com/api/v1/tools/qwenpaw.json\n\n## Other comparisons with Lindy or QwenPaw\n\n- [AstrBot vs Lindy](https://www.anchorterminal.com/compare/astrbot-vs-lindy.md)\n- [AstrBot vs QwenPaw](https://www.anchorterminal.com/compare/astrbot-vs-qwenpaw.md)\n- [CowAgent vs Lindy](https://www.anchorterminal.com/compare/cowagent-vs-lindy.md)\n- [CowAgent vs QwenPaw](https://www.anchorterminal.com/compare/cowagent-vs-qwenpaw.md)\n- [GAIA vs Lindy](https://www.anchorterminal.com/compare/gaia-vs-lindy.md)\n- [GAIA vs QwenPaw](https://www.anchorterminal.com/compare/gaia-vs-qwenpaw.md)\n- [Gemini Spark vs Lindy](https://www.anchorterminal.com/compare/gemini-spark-vs-lindy.md)\n- [Gemini Spark vs QwenPaw](https://www.anchorterminal.com/compare/gemini-spark-vs-qwenpaw.md)\n- [Grok Bot vs Lindy](https://www.anchorterminal.com/compare/grok-bot-vs-lindy.md)\n- [Grok Bot vs QwenPaw](https://www.anchorterminal.com/compare/grok-bot-vs-qwenpaw.md)\n- [Haven vs Lindy](https://www.anchorterminal.com/compare/haven-vs-lindy.md)\n- [Haven vs QwenPaw](https://www.anchorterminal.com/compare/haven-vs-qwenpaw.md)\n- [Hermes Agent vs Lindy](https://www.anchorterminal.com/compare/hermes-agent-vs-lindy.md)\n- [Hermes Agent vs QwenPaw](https://www.anchorterminal.com/compare/hermes-agent-vs-qwenpaw.md)\n- [Instinct vs Lindy](https://www.anchorterminal.com/compare/instinct-vs-lindy.md)\n- [Instinct vs QwenPaw](https://www.anchorterminal.com/compare/instinct-vs-qwenpaw.md)\n- [IronClaw vs Lindy](https://www.anchorterminal.com/compare/ironclaw-vs-lindy.md)\n- [IronClaw vs QwenPaw](https://www.anchorterminal.com/compare/ironclaw-vs-qwenpaw.md)\n- [Leon vs Lindy](https://www.anchorterminal.com/compare/leon-vs-lindy.md)\n- [Leon vs QwenPaw](https://www.anchorterminal.com/compare/leon-vs-qwenpaw.md)\n- [Lindy vs nanobot](https://www.anchorterminal.com/compare/lindy-vs-nanobot.md)\n- [Lindy vs NanoClaw](https://www.anchorterminal.com/compare/lindy-vs-nanoclaw.md)\n- [Lindy vs Dots](https://www.anchorterminal.com/compare/lindy-vs-openai-dots.md)\n- [Lindy vs OpenClaw](https://www.anchorterminal.com/compare/lindy-vs-openclaw.md)\n- [Lindy vs PicoClaw](https://www.anchorterminal.com/compare/lindy-vs-picoclaw.md)\n- [Lindy vs Poke](https://www.anchorterminal.com/compare/lindy-vs-poke.md)\n- [Lindy vs ZeroClaw](https://www.anchorterminal.com/compare/lindy-vs-zeroclaw.md)\n- [Lindy vs Zo Computer](https://www.anchorterminal.com/compare/lindy-vs-zo-computer.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",
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