minddy vs Jira

Jira is built around customizable workflows, minddy around ready-to-use issue tracking. They differ on planning, collaboration, AI coding agents and hosting.

Download minddyCompare the essentials

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.

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.

minddy vs Jira
Features and plansminddyJira
Source codePublic AGPL v3 repositoryCommercial Atlassian product
Cost of adding collaboratorsNo additional charge per collaborator; plan limits applyFree for up to 10 users; paid plans charge by user count
AI assistants and coding agentsNumo conversations for tracking work, and MCP connections to compatible coding assistantsRovo, the Atlassian MCP server and connected agents
Project documentationProject pages with subpages, version history and sharingConfluence content connected to Jira work
Customer feedbackPublic request boards with voting; turn selected requests into issuesJira Product Discovery or service workflows
HostingHosted by minddy, or install the open-source application on your own serversCloud; existing Data Center customers supported until 28 March 2029
Getting startedIssue statuses ready to use; optional CSV importTemplates to start; workflows and permissions to customize
Built forOne person or a small teamLarge organizations, regulated work

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.

Jira documentationJira pricing

What you can do with minddy

Track bugs and features, document your projects and work with AI coding agents in one place.

  • Hand an issue to your coding agent

    Write the issue with Numo, then give it to your own coding agent with a copied prompt or through MCP. The pull request comes back linked to the issue, and you review and merge it in minddy.

  • Ask Numo about your project

    Numo is minddy's assistant. Start a conversation from its page or the floating button to find an issue, explain a decision, update a page, or read a linked pull request. You can connect external tools through MCP.

  • 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.

  • 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.

  • 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.

  • 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.

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.

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 source

AI models and allowances depend on your plan. With a compatible personal API key, the provider bills AI calls for the functions you configure. 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.
  • Hand an issue to your own coding agent, then review and merge its pull request 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.

Download minddyConnect your AI assistant