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Grafizum vs Linear

Updated 10 November 2026

Short answer: Linear is the better tool for a product team that plans and ships together. Grafizum is the better tool when the "team" is mostly AI coding agents and you need one screen that shows what each of them is doing across your projects.

Side by side

GrafizumLinear
Built forOne person or a small team running many AI coding agentsProduct and engineering teams
Agents connect byRemote MCP with OAuthOfficial hosted MCP server with OAuth
Who writes most updatesAgents, as they workPeople, with agents helping
Planning featuresTask queue, status, calendarCycles, roadmaps, triage and more
Agent-specific partsRecord per agent, review queue, project memory file, auto and manual syncDepends on the agent and integration you use
IntegrationsMCP clientsA wide range of team tools
PriceFree plan, paid plans from $9 per month, counted by update volumeSee Linear's pricing page

Where Linear is better

Where Grafizum is better

What about Jira, Notion or a spreadsheet?

The same reasoning applies. Tools built for human teams work with agents, but they expect a person to keep them current. Grafizum is built so that the agents do that. The longer explanation is in AI coding agent dashboard: how to manage multiple AI agents.

Details about Linear are taken from its public documentation as of November 2026 and can change. Check Linear itself before you decide.

Questions

Is Grafizum a Linear alternative?
For a product team that plans cycles and roadmaps, no: Linear is built for that. For a solo developer or small team whose main need is to see what several AI coding agents are doing across projects, Grafizum is the more direct fit.
Can AI coding agents use Linear?
Yes. Linear has an official hosted MCP server, so an agent can find, create and update issues, projects and comments.
Why not just use Linear with its MCP server?
You can, and for a team already on Linear it is a sensible choice. Grafizum differs in what it is built around: agents writing many small updates, a record per agent, a review queue for finished agent work, a memory file agents read each session, and pricing by update volume with a free plan for one person.

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