When to choose Jira
Choose Jira if your organization needs to customize how work moves between teams, set detailed permissions and connect other Atlassian products.
minddy vs Jira
Compare two ways to organize software development: Jira's customizable workflows and minddy's ready-to-use issue tracking. See which fits your team's planning and collaboration needs.
When to choose minddy
Choose minddy if your small development team wants to start tracking issues with predefined statuses, keep project documents nearby and ask AI agents to help write code. You can also host it on your own servers.
Compare the essentials
Compare issue tracking, AI assistance, collaboration costs and hosting options.
A project's capacity depends on its owner's plan. Inviting a collaborator does not add a per-person charge to that owner's bill. Each collaborator keeps their own account limits and AI allowance. View pricing
Checked on September 5, 2026 against official documentation and pricing.
What you can do with minddy
Track bugs and features, document your projects and work with AI coding agents in one place.
Ask AI to work on an issue
Ask a coding agent to plan and implement an issue, then review its proposed changes. Run it in the cloud or on your computer through the desktop app. You can also connect your own assistant via MCP.
Keep project documents together
Write specifications and record decisions in project pages. Organize subpages, view earlier versions and share pages. Numo and connected AI assistants can read and update them.
Ask Numo about your project
Numo is minddy's built-in AI assistant. Ask it to find an issue, explain a project decision or update a page. You can connect external tools through MCP, a standard for connecting AI assistants to applications.
Schedule recurring AI tasks
Give AI instructions to run on a project at a set time. For example, ask for a weekly review of open issues. You can also create recurring issues and rules that automate status changes.
Plan work across projects
Group issues by objective, split work into smaller issues and see which tasks depend on others. Save filtered lists and choose work from several projects for your week or fortnight.
Let users suggest improvements
Publish a board where users submit requests and vote. Merge duplicates and turn selected requests into issues. Each linked request shows progress as its issue status changes.
Add tasks from any device
Write a private note, dictate an issue or find actions with the command menu. Use minddy in your browser or in the macOS, Windows and Linux apps.
Read, change or host the code
The source code is available under AGPL v3. Review it, contribute changes or install the open-source application on your own servers.
View the sourceAI models and allowances depend on your plan. With a compatible personal API key, the provider bills AI calls for the functions you configure. Cloud code-agent execution still uses your included budget. Hosting on your own servers may cost extra.
Which one to pick
Choose the workflow that fits your team.
When to choose Jira
- Set the steps work follows, the fields each issue needs and who can access or change it.
- Plan work across teams and manage who can make decisions, with the appropriate Jira plan and Atlassian products.
- Connect development work to project documents in Confluence and user feedback in Jira Product Discovery.
When to choose minddy
- Track bugs and feature requests with ready-to-use issue statuses, priorities and project pages.
- Ask a coding agent to work on an issue in the cloud or on your computer, then review the proposed code changes in minddy.
- Host the open-source application on your own servers and invite collaborators without a per-person surcharge, within plan limits.
Try minddy with your existing tasks
Export your tasks from Jira as a CSV file, then import them into a minddy project. Check which columns match each issue field. Connect your code repository and AI assistant when you are ready.