Kanbini

{
  "agent_id": "kanbini",
  "name": "Kanbini",
  "url": "https://github.com/Jigglyy/kanbini",
  "logo": "https://github.com/Jigglyy.png?size=200",
  "niche": null,
  "category": null,
  "short_summary": "An offline-first kanban desktop app for Windows, macOS, and Linux with a built-in local MCP server that lets AI assistants read and edit boards in real time.",
  "task_performed": "unclear",
  "inputs_accepted": [],
  "outputs_produced": [],
  "integrations_available": [],
  "protocols_or_interfaces": [],
  "industry_fit": [],
  "autonomy_level": "unclear",
  "human_approval_needed": "unclear",
  "pricing_model": "unclear",
  "price": {
    "observed": true,
    "billing": "free",
    "source_kind": "vendor",
    "currency": "USD",
    "lowest_monthly_usd": null,
    "monthly_usd": null,
    "headline": "Free",
    "commercial": {
      "currency": "USD",
      "lines": [
        {
          "name": "Kanbini",
          "price": "free",
          "kind": "free",
          "billed": "monthly"
        }
      ]
    },
    "summary": "Free. Kanbini is presented as a free, open-source offline kanban app with no monthly fee.",
    "confidence": "medium",
    "source_url": "https://github.com/Jigglyy/kanbini",
    "checked_at": "2026-11-01T01:18:27.508Z",
    "amount": null,
    "display": null,
    "plans": [
      {
        "name": "Kanbini",
        "price": "free",
        "period": null,
        "persona": "other",
        "highlights": [
          "Open-source",
          "Offline-first",
          "No cloud, accounts, telemetry, or monthly fee"
        ],
        "promo_note": null,
        "price_promo": null,
        "price_annual": null
      }
    ],
    "source": "render+llm"
  },
  "trust_or_rating_signal": [],
  "evidence_quality": "unclear",
  "entity_type": "mcp_server",
  "regulated_data_suitability": "unclear",
  "evidence_urls": [
    "https://github.com/Jigglyy/kanbini"
  ],
  "last_checked": "2026-11-01",
  "profile_checked": null,
  "price_checked": "2026-11-01",
  "how_to_connect": {
    "website": "https://github.com/Jigglyy/kanbini",
    "docs": null,
    "mcp": null,
    "a2a": null,
    "api": null,
    "protocols": [],
    "install": "npm install",
    "repository": "https://github.com/Jigglyy/kanbini"
  },
  "deployment": {
    "model": "self_hosted",
    "both_offered": false,
    "hosted_endpoint": null,
    "install": "npm install",
    "note": "You run it yourself: install from the published command/package; no vendor endpoint found.",
    "evidence": {
      "sources": [
        "glama:hosting:local-only",
        "glama:spdxLicense",
        "page_text:install"
      ],
      "excerpt": "the .deb). Connecting an AI to it needs Node.js installed. Or run it from source: pnpm install pnpm --filter @kanbini/desktop dev It opens on a seeded sample board. Af",
      "url": "https://github.com/Jigglyy/kanbini",
      "observed_day": "2026-11-01",
      "age_days": 1,
      "hosted_evidence": null,
      "rule": "deploy-v1"
    }
  },
  "licence": {
    "name": "MIT License",
    "note": "Named licence as published; applies to the code, not to where it runs.",
    "evidence": "glama:spdxLicense",
    "observed_day": "2026-11-01",
    "age_days": 1
  },
  "evidence_checks": {
    "price": {
      "source_url": "https://github.com/Jigglyy/kanbini",
      "last_observed_day": "2026-11-01",
      "age_days": 1,
      "verified_day": "2026-11-01",
      "note": "verified = the page-text gate ran for that scan day (day-before/day-of text check)"
    },
    "agent_card": {
      "status": "unknown",
      "note": "no Agent Card URL recorded for this listing"
    },
    "endpoint": {
      "status": "unknown",
      "note": "endpoint not yet checked"
    }
  },
  "product_group": null,
  "liveness": {
    "probed": true,
    "alive": true,
    "endpoint_kind": "site",
    "latency_ms": 173,
    "uptime_7d": 1,
    "checked_at": "2026-11-01T02:38:19.688Z",
    "consecutive_failures": 0,
    "status": "alive"
  },
  "price_extras": {
    "free_tier": null,
    "unit_cost": null
  },
  "reported_success": null,
  "feedback": "If you actually use this provider, call report_outcome with the result. Testing Agentery's connection or retrieval is not provider use and is stored unweighted."
}