itsaplan vs kaneo

Project and issue tracking tools compared

itsaplan and kaneo both help teams organize projects and track work through web-based planning views, integrations, and APIs. itsaplan centers on self-hosted issue tracking with AI agents as team members, while kaneo focuses on configurable team workflows and offers both hosted and self-hosted access.

itsaplankaneo
LanguageTypeScriptTypeScript
LicenseAGPL-3.0MIT
Stars2k9.4k
Forks257845
Last analyzedOct 26, 2026Oct 6, 2026

Key differences

  • itsaplan lets teams add AI agents as project members, assign them issues, and trigger agent runs; kaneo describes workflow automation and MCP support for AI assistants.
  • itsaplan includes cycles, issue links, shared Markdown docs, dashboards, and public issue or view links; kaneo includes task discussions, attachments, time tracking, custom roles, and live updates.
  • itsaplan is licensed under AGPL-3.0, while kaneo is licensed under MIT.
  • itsaplan is self-hosted; kaneo offers both a hosted service and self-hosting.
  • Both use TypeScript, but kaneo has more reported stars and forks: 9.4k and 845, compared with itsaplan's 2k and 257.
  • itsaplan warns that breaking changes may occur before its first stable release; kaneo describes itself as relatively young and advises assessing maturity for long-term adoption.

Choose itsaplan if you…

  • need AI agents to join projects, receive issue assignments, and run from triggers or schedules.
  • want a self-hosted issue tracker with REST API, webhooks, and MCP access.
  • need planning views such as timelines and calendars alongside cycles, subtasks, and issue links.
Read the itsaplan analysis →

Choose kaneo if you…

  • want a choice between Kaneo Cloud and self-hosting.
  • need task discussions, attachments, dependencies, or time tracking in project workflows.
  • want GitHub or Gitea activity to connect with custom workflow rules and task movement.
Read the kaneo analysis →

Compare the numbers side by side, or add more projects

This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.