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Done vs Kanera

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Done compared with Kanera
DetailDone logo DoneKanera logo Kanera
What it doesAI to-do list app that assigns tasks to Claude, ChatGPT or any MCP agent to complete One clear view across all your boards
StageNot given Not given
FoundedNot given Not given
Based inUS IE
Pricing modelFreemium Not given
PricingFree: $0, includes 100 AI agent (MCP) calls per month and 2 workspaces. Pro: $5/month, billed monthly, includes unlimited AI agent calls, scheduled agent routines, connected apps and unlimited workspaces. Teams: $20/month, billed monthly, adds teammates and shared workspaces. Free: up to 4 organisation members, 3 active boards, 3 active automations, 100 automation executions per month. Pro: $5 per user per month or $49 per user per year. Self-hosted: Free to run on your own infrastructure.
Key features
  • Assign tasks to AI agents including Claude, ChatGPT, or any MCP-compatible model
  • Human approval required before agent work is marked done
  • Auto-decompose tasks into subtasks
  • Recurring and dependent tasks
  • Daily digest and weekly review
  • MCP endpoint for secure AI agent connection
  • Calendar view and Google Calendar sync
  • Integration with work apps like Slack, Google Drive, and Fireflies
  • Works on web, iPhone, iPad and Android
  • Kanban boards with card details, checklists, custom fields, attachments, and covers
  • Cross-project views: Home, Global Work, Up Next, and Work Done
  • Table view with filtering, grouping, and live sum rollups
  • Automations with triggers and actions, including label assignment and status updates
  • Scoped notifications with delivery rules for email, browser push, and webhooks
  • Work Done reports with daily flow, workload per person, and activity tracking
  • Board syncing, guest access, and permission controls
What makes it different
  • AI agents work from your shared task list with full visibility into what's assigned to whom
  • Requires your approval before any agent-completed work is marked done
  • MCP-native architecture allows any MCP-compatible AI assistant to connect securely
  • Plain language task capture that automatically parses dates, priorities and time estimates
  • Agents show their work with timestamps, files and reasoning before completion
  • No separate chatbot fee—use your own AI assistant through MCP, CLI, or API
  • Unified workspace combining boards, reporting, automations, notes, and API
  • Fast performance with instant actions, real-time sync, and large board support
  • Dependency tracking with Timeline map and critical path visibility across projects
Community votes00
DR (Domain Rating by Ahrefs)3 no change since last check7 no change since last check
Trust Flow (Majestic)56
Citation Flow (Majestic)2631
Referring domains (Majestic)1140

5 details filled in for both companies.

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