minddy vs Linear

How Linear and minddy differ on project planning, AI coding agents, collaboration and hosting.

Download minddyCompare the essentials

When to choose Linear

Choose Linear if you coordinate several development teams and want shared product plans and a common process for incoming requests.

When to choose minddy

Choose minddy if you work alone or in a small team and want to manage issues, project documents, and user suggestions together. Your own coding agents work on those issues through MCP.

Compare the essentials

Compare issue tracking, AI assistance, collaboration costs and hosting options.

minddy vs Linear
Features and plansminddyLinear
Source codePublic AGPL v3 repositoryManaged cloud product
Cost of adding collaboratorsNo additional charge per collaborator; plan limits applyFree plan with unlimited members; paid plans charge per user
AI assistants and coding agentsNumo conversations for tracking work, and MCP connections to compatible coding assistantsMCP, Linear Agent, external agents and coding sessions
Project documentationProject pages with subpages, version history and sharingDocuments for projects, initiatives and teams
Customer feedbackPublic request boards with voting; turn selected requests into issuesCustomer Requests on all plans; support integrations depend on the plan
HostingHosted by minddy, or install the open-source application on your own serversLinear-hosted cloud service
Getting startedIssue statuses ready to use; optional CSV importBuilt-in workflow, configurable teams and cycles
Built forOne person or a small teamProduct teams at scale

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.

Linear documentationLinear 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 Linear

  • Group shared projects into initiatives and smaller sub-initiatives to coordinate work across several teams.
  • Collect customer requests from connected support tools and use Linear Asks to manage incoming requests.
  • Work with Linear Agent, delegate tasks to external agents and run coding sessions in your Linear workspace.

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 Linear 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