Sign in
// fenix vs linear

Fenix vs Linear — the missing AI layer.

Linear nailed the UX for dev teams. What it doesn't have is a native bridge to your AI agents. Fenix does.

Read docs →
// at a glance
Why teams leave Linear
  • ×No MCP bridge — AI agents can't read your tasks
  • ×No persistent memory between AI sessions
  • ×No CLI or terminal workflow
  • ×Skills and rules not shareable across agents
What Fenix adds
  • ✓MCP bridge with 68+ actions your AI can call
  • ✓Decisions saved as semantic memories — agents remember context
  • ✓Full terminal UI for keyboard-first workflows
  • ✓Skills marketplace — export reusable AI workflows
Best for

Linear is ideal for teams who want a polished, opinionated tracker with great integrations and a fast web UI. Fenix is the choice when AI agents are active participants — reading tasks, remembering decisions, and acting on your workflow programmatically.

// feature comparison
Fenix
Linear
Native MCP bridge
Your AI reads tasks and memory in real time
✓
—
Semantic memory
Context persists between AI agent sessions
✓
—
Rules & skills marketplace
Shareable AI instructions, exportable to any agent
✓
—
CLI + TUI
Native terminal UI with vim motions
✓
—
Kanban + sprints
✓
✓
Free tier
✓
✓
Mobile app
—
✓
Desktop app
soon
✓
Cycle time analytics
soon
✓
based on publicly available information · apr 2026
// switching is painless

Most teams migrate from Linear in under a day. Your cycles, issues, and labels map cleanly into Fenix sprints and work items. The moment you connect your MCP client, your AI agent has full read-write access to everything.

// get started today

Free for teams up to 5.

No credit card. No migration headache. Up and running in minutes.