{
  "data": {
    "a": {
      "slug": "deeptutor",
      "name": "DeepTutor",
      "vendor": "HKUDS",
      "vendorUrl": "https://deeptutor.info",
      "kind": "harness",
      "category": "personal-assistants",
      "summary": "DeepTutor is an open-source, self-hosted learning workspace from HKUDS for tutoring, quizzes, research reports and knowledge bases, with persistent memory and optional multiple users. It runs as a web app, and a `deeptutor` CLI emits NDJSON for other agents.",
      "url": "https://www.anchorterminal.com/tools/deeptutor",
      "markdownUrl": "https://www.anchorterminal.com/tools/deeptutor.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/deeptutor.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/deeptutor.json",
      "repo": "https://github.com/HKUDS/DeepTutor",
      "license": "Apache-2.0",
      "transports": [],
      "packages": [
        {
          "registry": "pypi",
          "name": "deeptutor"
        },
        {
          "registry": "pypi",
          "name": "deeptutor-cli"
        }
      ],
      "auth": "none",
      "authNotes": "No account with the project. The owner adds model provider keys in Settings or through `deeptutor config apply` with `api_key_env` naming an environment variable, or signs in to OpenAI Codex (OAuth), GitHub Copilot (device login) or CodeBuddy. Web sign-in is off by default; with `auth.json` enabled the first registered user becomes admin and grants models, knowledge bases, skills, tools and MCP access to other users (https://github.com/HKUDS/DeepTutor/blob/main/README.md).",
      "pricing": "free",
      "pricingNotes": "Free under the Apache 2.0 licence, and the README says the project has no paid online products. The owner pays the chosen model, embedding and search providers, or nothing with a local model through Ollama, LM Studio, llama.cpp, vLLM or Lemonade. The README carries a PageIndex discount code and an API Route provider preset, both third parties (checked 2026-10-30).",
      "priceSummary": "Free · OSS",
      "where": "local",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 in the README, SKILL.md or the developer handbook (checked 2026-10-30).",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": 51497,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-10-30"
      },
      "docsUrl": "https://deeptutor.info/",
      "capabilities": [
        "assistant.memory",
        "assistant.self-hosted",
        "assistant.messaging",
        "agent.mcp-client",
        "knowledge.search",
        "search.research",
        "memory.user",
        "document.write"
      ],
      "tags": [
        "open-source",
        "self-hosted",
        "local",
        "free",
        "python",
        "apache-2.0",
        "cli",
        "harness",
        "docker",
        "mcp-client",
        "rag",
        "no-card"
      ],
      "lastRelease": "2026-10-28",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 62.7,
        "grade": "B",
        "agentReady": false,
        "rank": 494,
        "ranked": true,
        "rankOf": 1239,
        "categoryRank": 7,
        "methodology": "0.7",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 63,
          "maintenance": 84,
          "payments": 60,
          "reliability": 78,
          "schema": 71,
          "security": 51,
          "transparency": 52
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-30"
        },
        "negative": -3,
        "negativeNotes": [
          "2026-09-30. CVE-2026-51870 (critical on NVD). Command execution through the TutorBot shell tool's `ExecTool.execute` in v1.4.0, reported in issue #506. v1.4.1 of 27 May 2026 lists it closed with a shell RCE (#518), a filesystem path traversal (#517) and three authorisation bypasses (#514 to #516), and makes shell exec opt-in. Fixed within five days and documented in release notes, -2. https://nvd.nist.gov/vuln/detail/CVE-2026-51870",
          "2026-06-30. GHSA-jg88-rvpc-qvxj (CVE-2026-58168, high). Before 1.4.10, a user grant without `mcp_tools` let non-admin users in multi-user mode invoke every configured MCP tool. Single-user installs were unaffected. Fixed in 1.4.10 of 21 June 2026 with deny-by-default MCP access, -1. https://api.osv.dev/v1/vulns/GHSA-jg88-rvpc-qvxj"
        ],
        "verdict": "DeepTutor runs on the owner's machine under Apache 2.0, ships releases every few days with upgrade notes, and gives other agents a JSON CLI with resumable sessions. Its default launch binds all interfaces with sign-in off and permissive CORS, there is no security policy, and two CVEs in 2026 covered a shell-tool RCE and a multi-user MCP bypass, both fixed.",
        "bestFor": "A learner, a teacher or a small group that wants a self-hosted tutor over their own documents, with quizzes, research reports, memory and IM companions, or for an agent that hands study tasks to it through the JSON CLI.",
        "strengths": [
          "Apache 2.0, self-hosted, and the README says the project sells nothing",
          "`deeptutor run ... --format json` streams NDJSON tagged with `session_id`, and `--session` chains turns headlessly",
          "SKILL.md and AGENT_SETUP.md give an agent a non-interactive setup path with `config apply --check` and `doctor --format json`",
          "Releases every few days with dated notes and upgrade steps, 27 in the 90 days to 30 October 2026",
          "Inspectable file-backed memory with an append-only L1 trace, and grants, audit records and per-user isolation in multi-user mode"
        ],
        "weaknesses": [
          "The default launch binds the backend to 0.0.0.0 with sign-in off and CORS open to any origin with credentials",
          "No SECURITY.md, no private reporting route and no repository-published advisories, while two CVEs were assigned in 2026",
          "The `exec` sandbox falls back to a best-effort restricted subprocess by default when no runner or bubblewrap is present",
          "Nightly test runs on main failed every night from 20 to 28 October 2026 before passing again on 29 and 30 October",
          "Provider keys are stored in plain JSON under `data/user/settings/`"
        ],
        "agentNotes": [
          "Run `deeptutor run \u003ccapability\u003e \"...\" --format json` and read the `done` event's `session_id`; pass `--session` to continue the same session",
          "Configure with `deeptutor config apply setup.json --check` first, naming keys through `api_key_env`; literal keys are rejected",
          "Before exposing it beyond one machine, enable sign-in in `auth.json`, set exact `cors_origins` and set `BACKEND_HOST=127.0.0.1` where loopback is wanted",
          "Run 1.4.10 or later. Earlier versions carry CVE-2026-51870 (shell tool RCE, fixed in 1.4.1) and CVE-2026-58168 (multi-user MCP bypass)",
          "Set `sandbox_allow_subprocess` to false where generated code must run only in the runner sidecar or bubblewrap"
        ],
        "metrics": {
          "kind": "local",
          "measured": false
        },
        "reviewCount": 0,
        "avgRating": 0,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "B",
            "methodology": "0.7",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 62.7
          }
        ],
        "editorialScores": {
          "ergonomics": 63,
          "maintenance": 84,
          "payments": 60,
          "reliability": 78,
          "schema": 71,
          "security": 51,
          "transparency": 65
        },
        "provenanceScore": 39,
        "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
        }
      },
      "connect": {
        "install": "pip install -U \"deeptutor[full]\"   # then: deeptutor init \u0026\u0026 deeptutor start   # or: docker run --rm -p 127.0.0.1:3782:3782 -v deeptutor-data:/app/data ghcr.io/hkuds/deeptutor:latest",
        "headless": {
          "command": "deeptutor run chat \"$TASK\" --format json"
        }
      },
      "letme": {
        "capability": "https://letme.dev/assistant.memory",
        "tool": "https://letme.dev/deeptutor"
      },
      "area": "frameworks",
      "provenance": {
        "legalEntity": "",
        "domain": "deeptutor.info",
        "domainRegistered": "2026-05-20",
        "endpointOnVendorDomain": null,
        "terms": "",
        "privacy": "",
        "statusPage": "",
        "changelog": "https://github.com/HKUDS/DeepTutor/releases",
        "securityTxt": "unknown",
        "checked": "2026-10-30",
        "notes": [
          "No legal entity is named. The repository belongs to the GitHub organisation HKUDS, the Data Intelligence Lab at the University of Hong Kong, and the README says the project is led by Bingxi Zhao within the HKUDS group.",
          "deeptutor.info's robots.txt disallows ClaudeBot, Claude-Web and anthropic-ai, so its pages were not read. Its terms, privacy page and security.txt are unknown.",
          "No SECURITY.md was found in the repository tree on 30 October 2026.",
          "RDAP gives a registration date of 20 May 2026 for deeptutor.info. The README dates the docs site's launch to 22 May 2026.",
          "There is no hosted endpoint. The API answers on the owner's own host."
        ],
        "score": 39
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/deeptutor.json"
    },
    "answer": "Hermes Agent scores 68.2 (B) on agent readiness against DeepTutor's 62.7 (B), and leads in 4 of 7 scored categories. DeepTutor leads on reliability.",
    "b": {
      "slug": "hermes-agent",
      "name": "Hermes Agent",
      "vendor": "Nous Research",
      "vendorUrl": "https://hermes-agent.nousresearch.com",
      "kind": "harness",
      "category": "personal-assistants",
      "summary": "Open-source personal agent from Nous Research that the owner runs on a computer or server. It answers on messaging apps, keeps memory between sessions, runs scheduled jobs and connects to accounts, models and MCP servers the owner configures.",
      "url": "https://www.anchorterminal.com/tools/hermes-agent",
      "markdownUrl": "https://www.anchorterminal.com/tools/hermes-agent.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/hermes-agent.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/hermes-agent.json",
      "repo": "https://github.com/NousResearch/hermes-agent",
      "license": "MIT",
      "transports": [],
      "packages": [
        {
          "registry": "oci",
          "name": "nousresearch/hermes-agent"
        }
      ],
      "auth": "none",
      "authNotes": "No account of its own. Model and channel keys go in `~/.hermes/.env` or come from Bitwarden, 1Password or a command helper at start-up. Google Workspace, MCP servers and Nous Portal sign in by OAuth, with tokens stored under `~/.hermes/`. The optional API server takes a bearer key set in `API_SERVER_KEY`.",
      "pricing": "free",
      "pricingNotes": "Free under the MIT licence. The owner pays the model provider chosen, or nothing with a local model. Nous Portal plans ($0, $20, $100 and $200 a month in credits) and Hermes Cloud hosting ($0.51 a day running on the Standard size, plus inference) are optional and sold separately.",
      "priceSummary": "Free · OSS",
      "where": "local",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 on Hermes Agent's own interfaces. An optional skill lets the agent pay other services over MPP, which is a client and not a way to pay for Hermes (checked 2026-10-12).",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": 253000,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-10-12"
      },
      "docsUrl": "https://hermes-agent.nousresearch.com/docs/",
      "llmsTxt": "https://hermes-agent.nousresearch.com/llms.txt",
      "capabilities": [
        "assistant.proactive",
        "assistant.messaging",
        "assistant.accounts",
        "assistant.memory",
        "assistant.self-hosted",
        "agent.mcp-client"
      ],
      "tags": [
        "open-source",
        "self-hosted",
        "local",
        "free",
        "no-card",
        "python",
        "docker",
        "llms-txt",
        "pre-1.0"
      ],
      "lastRelease": "2026-10-11",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 68.2,
        "grade": "B",
        "agentReady": false,
        "rank": 255,
        "ranked": true,
        "rankOf": 1239,
        "categoryRank": 3,
        "methodology": "0.7",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 80,
          "maintenance": 84,
          "payments": 60,
          "reliability": 57,
          "schema": 80,
          "security": 75,
          "transparency": 67
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-12"
        },
        "negative": -3,
        "negativeNotes": [
          "2026-10-08. The v0.21.6 release notes list six security fixes, among them a native sign-in flaw that could send login codes to a non-loopback redirect and a quoted display name in the `From` header that affected the email gateway's sender check. SECURITY.md counts unauthorised access to an external surface as in scope, yet the repository shows no published advisory, so owners on older versions have no advisory to act on. Fixed and described in the notes, -3. https://github.com/NousResearch/hermes-agent/releases/tag/v0.21.6; https://github.com/NousResearch/hermes-agent/security/advisories"
        ],
        "verdict": "Card payments always ask first and are refused in unattended sessions, and the messaging gateway denies every sender until an allowlist is set. Shell commands run on the host by default with a model judging risk, and sending mail through the Google Workspace skill is held back only by an instruction to the model.",
        "bestFor": "A technical owner who wants one always-on agent across chat apps with memory and scheduled jobs, on their own machine or a small server, with any model.",
        "strengths": [
          "Every saved-card fill asks for approval, and cron, webhook and API sessions are refused because nobody can confirm",
          "The messaging gateway denies all senders until an allowlist or a pairing code approved on the CLI is in place",
          "The docs say no telemetry, usage data or analytics is collected, and conversations, memory and skills stay in `~/.hermes/`",
          "SECURITY.md states that in-process checks are not a boundary and names OS-level isolation as the only one",
          "Ten releases between 19 August and 11 October 2026, the latest v0.21.7 on 11 October"
        ],
        "weaknesses": [
          "The default terminal backend runs commands on the host, and the default `smart` mode lets an auxiliary model approve commands it rates low-risk",
          "The Google Workspace skill requests full Gmail, Calendar and Drive scopes, and its confirm-before-sending rule is an instruction in SKILL.md, not enforced in code",
          "Memory writes are saved without approval by default (`memory.write_approval: false`), including from a background review after each turn",
          "Release v0.21.6 of 8 October 2026 lists six security fixes and the repository has no published security advisory",
          "15,102 open issues and more than 5,000 open pull requests on 12 October 2026",
          "The Nous Portal terms grant Nous a licence to train models on customer data when the Portal is the model provider"
        ],
        "agentNotes": [
          "Set `approvals.mode: manual` before giving it real accounts. The default `smart` lets an auxiliary model approve commands",
          "Run the gateway with `terminal.backend: docker` or the project's Docker image when it reads mail, web pages or group chats",
          "Set `memory.write_approval: true` and `skills.write_approval: true` to review what it saves about the owner",
          "Leave `approvals.cron_mode` and `approvals.unattended_mode` at `deny` for scheduled and webhook runs",
          "Set `TELEGRAM_ALLOWED_USERS` or the matching allowlist per channel. Never set `GATEWAY_ALLOW_ALL_USERS=true`"
        ],
        "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": 68.2
          }
        ],
        "editorialScores": {
          "ergonomics": 80,
          "maintenance": 84,
          "payments": 60,
          "reliability": 57,
          "schema": 80,
          "security": 75,
          "transparency": 73
        },
        "provenanceScore": 61,
        "checked": {
          "categories": {
            "ergonomics": "2026-10-12",
            "maintenance": "2026-10-12",
            "payments": "2026-10-12",
            "reliability": "2026-10-12",
            "schema": "2026-10-12",
            "security": "2026-10-12",
            "transparency": "2026-10-12"
          },
          "last": "2026-10-12",
          "lastMoved": "2026-10-27",
          "oldest": "2026-10-12",
          "stale": false,
          "staleAfterDays": 90
        }
      },
      "connect": {
        "install": "curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash   # then: hermes setup",
        "headless": {
          "command": "hermes chat -q \"$TASK\" --format stream-json --max-turns 30"
        }
      },
      "letme": {
        "capability": "https://letme.dev/assistant.proactive",
        "tool": "https://letme.dev/hermes-agent"
      },
      "area": "frameworks",
      "provenance": {
        "legalEntity": "Nous Research, Inc.",
        "domain": "nousresearch.com",
        "domainRegistered": "",
        "endpointOnVendorDomain": null,
        "terms": "",
        "privacy": "",
        "statusPage": "",
        "changelog": "https://github.com/NousResearch/hermes-agent/releases",
        "securityTxt": "none",
        "checked": "2026-10-12",
        "notes": [
          "The site footer reads Nous Research, Inc., and the Nous Portal terms name it as a Delaware corporation.",
          "No terms or privacy link is given. The Nous Portal terms and privacy policy (both dated 28 September 2026) govern the optional Portal and Hermes Cloud services, not the software the owner runs under the MIT licence, so the licence stands in.",
          "hermes-agent.nousresearch.com/.well-known/security.txt answered 404. SECURITY.md in the repository gives security@nousresearch.com and GitHub private reporting.",
          "No status page applies to software the owner runs. None was looked for on the Portal.",
          "The domain registration date was not looked up."
        ],
        "score": 61
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/hermes-agent.json",
      "live": {
        "slug": "hermes-agent",
        "versions": [
          {
            "registry": "github",
            "name": "NousResearch/hermes-agent",
            "version": "v0.22.5",
            "released": "2026-10-23",
            "seenAt": "2026-10-30T14:18:35.818301971Z"
          }
        ],
        "githubStars": 258739,
        "securityTxt": {
          "url": "https://nousresearch.com/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-10-30T15:38:25.370299751Z"
        },
        "llmsTxt": {
          "url": "https://hermes-agent.nousresearch.com/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-10-30T15:07:40.056329241Z"
        },
        "domain": {
          "domain": "nousresearch.com",
          "registered": "2023-03-22",
          "source": "https://rdap.verisign.com/com/v1/domain/nousresearch.com",
          "checkedAt": "2026-10-25T14:03:35.416971004Z"
        },
        "github": {
          "repo": "nousresearch/hermes-agent",
          "checkedAt": "2026-10-26T07:50:19.884182041Z",
          "stars": 257158,
          "archived": false,
          "issuesEnabled": true,
          "pushedAt": "2026-10-26T07:50:07Z",
          "openIssues": 17192,
          "openPRs": 33990,
          "issuesOpened90d": 19522,
          "issuesClosed90d": 10589,
          "prsMerged90d": 10477,
          "ci": {
            "branch": "main",
            "runs": 50,
            "success": 32,
            "failure": 1,
            "other": 17,
            "latest": "success",
            "latestAt": "2026-10-26T07:44:28Z"
          }
        },
        "updatedAt": "2026-10-30T15:38:25.370299751Z"
      }
    },
    "facts": [
      {
        "a": "Agent harness",
        "b": "Agent harness",
        "name": "Kind"
      },
      {
        "a": "HKUDS",
        "b": "Nous Research",
        "name": "Vendor"
      },
      {
        "a": "no (local only)",
        "b": "no (local only)",
        "name": "Hosted endpoint"
      },
      {
        "a": "",
        "b": "",
        "name": "Transports"
      },
      {
        "a": "None",
        "b": "None",
        "name": "Auth"
      },
      {
        "a": "Free",
        "b": "Free",
        "name": "Pricing"
      },
      {
        "a": "no",
        "b": "no",
        "name": "x402"
      },
      {
        "a": "Apache-2.0",
        "b": "MIT",
        "name": "Licence"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "no",
        "b": "yes",
        "name": "llms.txt"
      },
      {
        "a": "2026-10-28",
        "b": "2026-10-11",
        "name": "Last release"
      },
      {
        "a": "no document linked",
        "b": "no document linked",
        "name": "Terms last updated"
      },
      {
        "a": "no document linked",
        "b": "no document linked",
        "name": "Privacy policy last updated"
      },
      {
        "a": "",
        "b": "",
        "name": "Customer content may train models"
      },
      {
        "a": "",
        "b": "",
        "name": "Terms restrict automated access"
      },
      {
        "a": "",
        "b": "",
        "name": "Terms restrict benchmarking"
      },
      {
        "a": "",
        "b": "",
        "name": "Terms or service can change without notice"
      },
      {
        "a": "",
        "b": "",
        "name": "Arbitration or class-action waiver"
      },
      {
        "a": "51k stars",
        "b": "253k stars",
        "name": "Popularity"
      },
      {
        "a": "none",
        "b": "2.8/5 (4)",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "Hermes Agent scores 68.2 (B) on agent readiness against DeepTutor's 62.7 (B), and leads in 4 of 7 scored categories. DeepTutor leads on reliability.",
        "question": "Which is better for AI agents, DeepTutor or Hermes Agent?"
      },
      {
        "answer": "Yes. DeepTutor is open source (Apache-2.0). Hermes Agent is open source (MIT).",
        "question": "Are DeepTutor and Hermes Agent open source?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Reliability, 78 against 57"
        ],
        "also": null,
        "goodFor": "A learner, a teacher or a small group that wants a self-hosted tutor over their own documents, with quizzes, research reports, memory and IM companions, or for an agent that hands study tasks to it through the JSON CLI.",
        "slug": "deeptutor",
        "watchFor": "The default launch binds the backend to 0.0.0.0 with sign-in off and CORS open to any origin with credentials"
      },
      {
        "aheadOn": [
          "Schema \u0026 documentation, 80 against 71",
          "Agent ergonomics, 80 against 63",
          "Security \u0026 auth, 75 against 51",
          "Transparency \u0026 trust, 67 against 52"
        ],
        "also": null,
        "goodFor": "A technical owner who wants one always-on agent across chat apps with memory and scheduled jobs, on their own machine or a small server, with any model.",
        "slug": "hermes-agent",
        "watchFor": "The default terminal backend runs commands on the host, and the default `smart` mode lets an auxiliary model approve commands it rates low-risk"
      }
    ],
    "job": {
      "capability": "assistant.memory",
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        "deeptutor": 60,
        "edge": "",
        "hermes-agent": 60,
        "key": "payments",
        "name": "Payments \u0026 pricing",
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 0,
        "deeptutor": 84,
        "edge": "",
        "hermes-agent": 84,
        "key": "maintenance",
        "name": "Maintenance \u0026 community",
        "weight": 7
      },
      {
        "by": 15,
        "deeptutor": 52,
        "edge": "hermes-agent",
        "hermes-agent": 67,
        "key": "transparency",
        "name": "Transparency \u0026 trust",
        "weight": 7
      }
    ],
    "summary": "Hermes Agent scores 68.2 (B) on agent readiness against DeepTutor's 62.7 (B), and leads in 4 of 7 scored categories. DeepTutor leads on reliability. Both do assistants that remember you.",
    "tutorials": [],
    "verdicts": {
      "deeptutor": "DeepTutor runs on the owner's machine under Apache 2.0, ships releases every few days with upgrade notes, and gives other agents a JSON CLI with resumable sessions. Its default launch binds all interfaces with sign-in off and permissive CORS, there is no security policy, and two CVEs in 2026 covered a shell-tool RCE and a multi-user MCP bypass, both fixed.",
      "hermes-agent": "Card payments always ask first and are refused in unattended sessions, and the messaging gateway denies every sender until an allowlist is set. Shell commands run on the host by default with a model judging risk, and sending mail through the Google Workspace skill is held back only by an instruction to the model."
    }
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  "markdown": "Hermes Agent scores 68.2 (B) on agent readiness against DeepTutor's 62.7 (B), and leads in 4 of 7 scored categories. DeepTutor leads on reliability. Both do assistants that remember you.\n\n- DeepTutor: grade B, 62.7/100, rank #494 of 1239. Markdown https://www.anchorterminal.com/tools/deeptutor.md · JSON https://www.anchorterminal.com/api/v1/tools/deeptutor.json\n- Hermes Agent: grade B, 68.2/100, rank #255 of 1239. Markdown https://www.anchorterminal.com/tools/hermes-agent.md · JSON https://www.anchorterminal.com/api/v1/tools/hermes-agent.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### DeepTutor (B)\n\nGood for: A learner, a teacher or a small group that wants a self-hosted tutor over their own documents, with quizzes, research reports, memory and IM companions, or for an agent that hands study tasks to it through the JSON CLI.\n\nAhead on:\n- Reliability, 78 against 57\n\nWatch for: The default launch binds the backend to 0.0.0.0 with sign-in off and CORS open to any origin with credentials\n\n### Hermes Agent (B)\n\nGood for: A technical owner who wants one always-on agent across chat apps with memory and scheduled jobs, on their own machine or a small server, with any model.\n\nAhead on:\n- Schema \u0026 documentation, 80 against 71\n- Agent ergonomics, 80 against 63\n- Security \u0026 auth, 75 against 51\n- Transparency \u0026 trust, 67 against 52\n\nWatch for: The default terminal backend runs commands on the host, and the default `smart` mode lets an auxiliary model approve commands it rates low-risk\n\n\n## Score by category\n\n| Category | Weight | DeepTutor | Hermes Agent | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 78 | 57 | DeepTutor +21 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 71 | 80 | Hermes Agent +9 |\n| Agent ergonomics | 13% (16.2 this run) | 63 | 80 | Hermes Agent +17 |\n| Security \u0026 auth | 14% (17.5 this run) | 51 | 75 | Hermes Agent +24 |\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) | 84 | 84 | even |\n| Transparency \u0026 trust | 7% (8.8 this run) | 52 | 67 | Hermes Agent +15 |\n| Negative events | ≤15 | -3 | -3 | |\n| **Total** | | **62.7 · B** | **68.2 · B** | |\n\n## Facts side by side\n\n| Fact | DeepTutor | Hermes Agent |\n| --- | --- | --- |\n| Kind | Agent harness | Agent harness |\n| Vendor | HKUDS | Nous Research |\n| Hosted endpoint | no (local only) | no (local only) |\n| Transports |  |  |\n| Auth | None | None |\n| Pricing | Free | Free |\n| x402 | no | no |\n| Licence | Apache-2.0 | MIT |\n| Read-only variant documented | no | no |\n| llms.txt | no | yes |\n| Last release | 2026-10-28 | 2026-10-11 |\n| Terms last updated | no document linked | no document linked |\n| Privacy policy last updated | no document linked | no document linked |\n| Customer content may train models |  |  |\n| Terms restrict automated access |  |  |\n| Terms restrict benchmarking |  |  |\n| Terms or service can change without notice |  |  |\n| Arbitration or class-action waiver |  |  |\n| Popularity | 51k stars | 253k stars |\n| Agent reviews | none | 2.8/5 (4) |\n\n## Verdicts\n\n**DeepTutor.** DeepTutor runs on the owner's machine under Apache 2.0, ships releases every few days with upgrade notes, and gives other agents a JSON CLI with resumable sessions. Its default launch binds all interfaces with sign-in off and permissive CORS, there is no security policy, and two CVEs in 2026 covered a shell-tool RCE and a multi-user MCP bypass, both fixed.\n\n**Hermes Agent.** Card payments always ask first and are refused in unattended sessions, and the messaging gateway denies every sender until an allowlist is set. Shell commands run on the host by default with a model judging risk, and sending mail through the Google Workspace skill is held back only by an instruction to the model.\n\n## Before you call either\n\n### DeepTutor\n\n1. Run `deeptutor run \u003ccapability\u003e \"...\" --format json` and read the `done` event's `session_id`; pass `--session` to continue the same session\n2. Configure with `deeptutor config apply setup.json --check` first, naming keys through `api_key_env`; literal keys are rejected\n3. Before exposing it beyond one machine, enable sign-in in `auth.json`, set exact `cors_origins` and set `BACKEND_HOST=127.0.0.1` where loopback is wanted\n4. Run 1.4.10 or later. Earlier versions carry CVE-2026-51870 (shell tool RCE, fixed in 1.4.1) and CVE-2026-58168 (multi-user MCP bypass)\n5. Set `sandbox_allow_subprocess` to false where generated code must run only in the runner sidecar or bubblewrap\n\n### Hermes Agent\n\n1. Set `approvals.mode: manual` before giving it real accounts. The default `smart` lets an auxiliary model approve commands\n2. Run the gateway with `terminal.backend: docker` or the project's Docker image when it reads mail, web pages or group chats\n3. Set `memory.write_approval: true` and `skills.write_approval: true` to review what it saves about the owner\n4. Leave `approvals.cron_mode` and `approvals.unattended_mode` at `deny` for scheduled and webhook runs\n5. Set `TELEGRAM_ALLOWED_USERS` or the matching allowlist per channel. Never set `GATEWAY_ALLOW_ALL_USERS=true`\n\n## Questions\n\n### Which is better for AI agents, DeepTutor or Hermes Agent?\n\nHermes Agent scores 68.2 (B) on agent readiness against DeepTutor's 62.7 (B), and leads in 4 of 7 scored categories. DeepTutor leads on reliability.\n\n### Are DeepTutor and Hermes Agent open source?\n\nYes. DeepTutor is open source (Apache-2.0). Hermes Agent is open source (MIT).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/deeptutor-vs-hermes-agent.json, and with the fewest tokens: https://www.anchorterminal.com/compare/deeptutor-vs-hermes-agent.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"deeptutor\", \"b\": \"hermes-agent\"}`. From a terminal: `anchor compare deeptutor hermes-agent`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/deeptutor.json and https://www.anchorterminal.com/api/v1/tools/hermes-agent.json\n\n## Other comparisons with DeepTutor or Hermes Agent\n\n- [asaply vs DeepTutor](https://www.anchorterminal.com/compare/asaply-vs-deeptutor.md)\n- [asaply vs Hermes Agent](https://www.anchorterminal.com/compare/asaply-vs-hermes-agent.md)\n- [Asmi vs DeepTutor](https://www.anchorterminal.com/compare/asmi-vs-deeptutor.md)\n- [Asmi vs Hermes Agent](https://www.anchorterminal.com/compare/asmi-vs-hermes-agent.md)\n- [AstrBot vs DeepTutor](https://www.anchorterminal.com/compare/astrbot-vs-deeptutor.md)\n- [Boba vs DeepTutor](https://www.anchorterminal.com/compare/boba-vs-deeptutor.md)\n- [Boba vs Hermes Agent](https://www.anchorterminal.com/compare/boba-vs-hermes-agent.md)\n- [Brea vs DeepTutor](https://www.anchorterminal.com/compare/brea-vs-deeptutor.md)\n- [Brea vs Hermes Agent](https://www.anchorterminal.com/compare/brea-vs-hermes-agent.md)\n- [Del vs Hermes Agent](https://www.anchorterminal.com/compare/del-vs-hermes-agent.md)\n- [Hermes Agent vs HireAlpha](https://www.anchorterminal.com/compare/hermes-agent-vs-hirealpha.md)\n- [Hermes Agent vs OpenInstinct](https://www.anchorterminal.com/compare/hermes-agent-vs-openinstinct.md)\n- [Hermes Agent vs Orbits](https://www.anchorterminal.com/compare/hermes-agent-vs-orbits.md)\n- [Hermes Agent vs Orchid](https://www.anchorterminal.com/compare/hermes-agent-vs-orchid-ai.md)\n- [Hermes Agent vs szn](https://www.anchorterminal.com/compare/hermes-agent-vs-szn.md)\n- [Hermes Agent vs Tab](https://www.anchorterminal.com/compare/hermes-agent-vs-tab-bot.md)\n- [Hermes Agent vs Zapia](https://www.anchorterminal.com/compare/hermes-agent-vs-zapia.md)\n- [AstrBot vs Hermes Agent](https://www.anchorterminal.com/compare/astrbot-vs-hermes-agent.md)\n- [Boski vs Hermes Agent](https://www.anchorterminal.com/compare/boski-vs-hermes-agent.md)\n- [Caddy vs Hermes Agent](https://www.anchorterminal.com/compare/caddy-app-vs-hermes-agent.md)\n- [Claude Duet vs Hermes Agent](https://www.anchorterminal.com/compare/claude-duet-vs-hermes-agent.md)\n- [CowAgent vs Hermes Agent](https://www.anchorterminal.com/compare/cowagent-vs-hermes-agent.md)\n- [folk vs Hermes Agent](https://www.anchorterminal.com/compare/folk-nozomio-vs-hermes-agent.md)\n- [GAIA vs Hermes Agent](https://www.anchorterminal.com/compare/gaia-vs-hermes-agent.md)\n- [Gemini Spark vs Hermes Agent](https://www.anchorterminal.com/compare/gemini-spark-vs-hermes-agent.md)\n- [Grok Bot vs Hermes Agent](https://www.anchorterminal.com/compare/grok-bot-vs-hermes-agent.md)\n- [Haven vs Hermes Agent](https://www.anchorterminal.com/compare/haven-vs-hermes-agent.md)\n- [Hermes Agent vs Instinct](https://www.anchorterminal.com/compare/hermes-agent-vs-instinct.md)\n- [Hermes Agent vs IronClaw](https://www.anchorterminal.com/compare/hermes-agent-vs-ironclaw.md)\n- [Hermes Agent vs Leon](https://www.anchorterminal.com/compare/hermes-agent-vs-leon.md)\n- [Hermes Agent vs Lindy](https://www.anchorterminal.com/compare/hermes-agent-vs-lindy.md)\n- [Hermes Agent vs Lobby](https://www.anchorterminal.com/compare/hermes-agent-vs-lobby-os.md)\n- [Hermes Agent vs nanobot](https://www.anchorterminal.com/compare/hermes-agent-vs-nanobot.md)\n- [Hermes Agent vs NanoClaw](https://www.anchorterminal.com/compare/hermes-agent-vs-nanoclaw.md)\n- [Hermes Agent vs Dots](https://www.anchorterminal.com/compare/hermes-agent-vs-openai-dots.md)\n- [Hermes Agent vs OpenClaw](https://www.anchorterminal.com/compare/hermes-agent-vs-openclaw.md)\n- [Hermes Agent vs OpenDuet](https://www.anchorterminal.com/compare/hermes-agent-vs-openduet.md)\n- [Hermes Agent vs PicoClaw](https://www.anchorterminal.com/compare/hermes-agent-vs-picoclaw.md)\n- [Hermes Agent vs Poke](https://www.anchorterminal.com/compare/hermes-agent-vs-poke.md)\n- [Hermes Agent vs QwenPaw](https://www.anchorterminal.com/compare/hermes-agent-vs-qwenpaw.md)\n- [Hermes Agent vs Tasker AI](https://www.anchorterminal.com/compare/hermes-agent-vs-tasker-ai.md)\n- [Hermes Agent vs Town](https://www.anchorterminal.com/compare/hermes-agent-vs-town.md)\n- [Hermes Agent vs ZeroClaw](https://www.anchorterminal.com/compare/hermes-agent-vs-zeroclaw.md)\n- [Hermes Agent vs Zo Computer](https://www.anchorterminal.com/compare/hermes-agent-vs-zo-computer.md)\n- [Atticus vs DeepTutor](https://www.anchorterminal.com/compare/atticus-vs-deeptutor.md)\n- [Atticus vs Hermes Agent](https://www.anchorterminal.com/compare/atticus-vs-hermes-agent.md)\n- [Boski vs DeepTutor](https://www.anchorterminal.com/compare/boski-vs-deeptutor.md)\n- [Caddy vs DeepTutor](https://www.anchorterminal.com/compare/caddy-app-vs-deeptutor.md)\n- [Claude Duet vs DeepTutor](https://www.anchorterminal.com/compare/claude-duet-vs-deeptutor.md)\n- [CowAgent vs DeepTutor](https://www.anchorterminal.com/compare/cowagent-vs-deeptutor.md)\n- [DeepTutor vs Del](https://www.anchorterminal.com/compare/deeptutor-vs-del.md)\n- [DeepTutor vs folk](https://www.anchorterminal.com/compare/deeptutor-vs-folk-nozomio.md)\n- [DeepTutor vs GAIA](https://www.anchorterminal.com/compare/deeptutor-vs-gaia.md)\n- [DeepTutor vs Gemini Spark](https://www.anchorterminal.com/compare/deeptutor-vs-gemini-spark.md)\n- [DeepTutor vs Grok Bot](https://www.anchorterminal.com/compare/deeptutor-vs-grok-bot.md)\n- [DeepTutor vs Hark Pro](https://www.anchorterminal.com/compare/deeptutor-vs-hark-pro.md)\n- [DeepTutor vs Haven](https://www.anchorterminal.com/compare/deeptutor-vs-haven.md)\n- [DeepTutor vs HireAlpha](https://www.anchorterminal.com/compare/deeptutor-vs-hirealpha.md)\n- [DeepTutor vs Instinct](https://www.anchorterminal.com/compare/deeptutor-vs-instinct.md)\n- [DeepTutor vs IronClaw](https://www.anchorterminal.com/compare/deeptutor-vs-ironclaw.md)\n- [DeepTutor vs LearnHarness](https://www.anchorterminal.com/compare/deeptutor-vs-learnharness.md)\n- [DeepTutor vs Leon](https://www.anchorterminal.com/compare/deeptutor-vs-leon.md)\n- [DeepTutor vs Lindy](https://www.anchorterminal.com/compare/deeptutor-vs-lindy.md)\n- [DeepTutor vs Lobby](https://www.anchorterminal.com/compare/deeptutor-vs-lobby-os.md)\n- [DeepTutor vs nanobot](https://www.anchorterminal.com/compare/deeptutor-vs-nanobot.md)\n- [DeepTutor vs NanoClaw](https://www.anchorterminal.com/compare/deeptutor-vs-nanoclaw.md)\n- [DeepTutor vs Natura tinyNature](https://www.anchorterminal.com/compare/deeptutor-vs-natura.md)\n- [DeepTutor vs Dots](https://www.anchorterminal.com/compare/deeptutor-vs-openai-dots.md)\n- [DeepTutor vs OpenClaw](https://www.anchorterminal.com/compare/deeptutor-vs-openclaw.md)\n- [DeepTutor vs OpenDuet](https://www.anchorterminal.com/compare/deeptutor-vs-openduet.md)\n- [DeepTutor vs OpenInstinct](https://www.anchorterminal.com/compare/deeptutor-vs-openinstinct.md)\n- [DeepTutor vs Orbits](https://www.anchorterminal.com/compare/deeptutor-vs-orbits.md)\n- [DeepTutor vs Orchid](https://www.anchorterminal.com/compare/deeptutor-vs-orchid-ai.md)\n- [DeepTutor vs Pally](https://www.anchorterminal.com/compare/deeptutor-vs-pally.md)\n- [DeepTutor vs PicoClaw](https://www.anchorterminal.com/compare/deeptutor-vs-picoclaw.md)\n- [DeepTutor vs Poke](https://www.anchorterminal.com/compare/deeptutor-vs-poke.md)\n- [DeepTutor vs QwenPaw](https://www.anchorterminal.com/compare/deeptutor-vs-qwenpaw.md)\n- [DeepTutor vs szn](https://www.anchorterminal.com/compare/deeptutor-vs-szn.md)\n- [DeepTutor vs Tab](https://www.anchorterminal.com/compare/deeptutor-vs-tab-bot.md)\n- [DeepTutor vs Talorys](https://www.anchorterminal.com/compare/deeptutor-vs-talorys.md)\n- [DeepTutor vs Tasker AI](https://www.anchorterminal.com/compare/deeptutor-vs-tasker-ai.md)\n- [DeepTutor vs Tomo](https://www.anchorterminal.com/compare/deeptutor-vs-tomo.md)\n- [DeepTutor vs Town](https://www.anchorterminal.com/compare/deeptutor-vs-town.md)\n- [DeepTutor vs Wajo (Fo)](https://www.anchorterminal.com/compare/deeptutor-vs-wajo.md)\n- [DeepTutor vs Zapia](https://www.anchorterminal.com/compare/deeptutor-vs-zapia.md)\n- [DeepTutor vs ZeroClaw](https://www.anchorterminal.com/compare/deeptutor-vs-zeroclaw.md)\n- [DeepTutor vs Zo Computer](https://www.anchorterminal.com/compare/deeptutor-vs-zo-computer.md)\n- [Hark Pro vs Hermes Agent](https://www.anchorterminal.com/compare/hark-pro-vs-hermes-agent.md)\n- [Hermes Agent vs LearnHarness](https://www.anchorterminal.com/compare/hermes-agent-vs-learnharness.md)\n- [Hermes Agent vs Talorys](https://www.anchorterminal.com/compare/hermes-agent-vs-talorys.md)\n- [Hermes Agent vs Natura tinyNature](https://www.anchorterminal.com/compare/hermes-agent-vs-natura.md)\n- [Hermes Agent vs Pally](https://www.anchorterminal.com/compare/hermes-agent-vs-pally.md)\n- [Hermes Agent vs Tomo](https://www.anchorterminal.com/compare/hermes-agent-vs-tomo.md)\n- [Hermes Agent vs Wajo (Fo)](https://www.anchorterminal.com/compare/hermes-agent-vs-wajo.md)\n- [AI Job Search vs DeepTutor](https://www.anchorterminal.com/compare/ai-job-search-vs-deeptutor.md)\n",
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