AI-native project management
Project management where AI agents do the work
PARAGON runs your delivery pipeline for you — tickets move from idea to production while each stage is executed by an AI agent, and you stay in control of what ships.
Accounts are reviewed and approved manually — an administrator is notified when you sign up, and you'll get an email once approved.
How it works
Every ticket flows through five stages — research → planning → dev → qa → review — each backed by an agent working in an isolated per-project container.
- 01researchplanning
Describe the work
File a ticket like you would for any teammate. A research agent explores your codebase, then a planning agent turns the ticket into a structured plan — checked by a dedicated review agent before any code moves.
- 02devqa
Agents do the work
A dev agent implements each task in its own isolated git worktree, then a QA agent runs the tests and opens a pull request — both inside your project's own container.
- 03review
You stay in control
You approve the review, then the merge agent rebases, resolves conflicts if needed, and merges when everything checks out. Every step returns structured, validated output back to the board.
Everything the delivery loop needs
The project management you know — views, tickets, teams, messaging — with AI agents wired into every step.
Four views of every project
Kanban, list, timeline, and calendar views — drag tickets between columns, filter and sort lists, zoom the timeline, and see dependencies and due dates.
Ticketing with depth
Rich text descriptions, labels, comments, attachments, and links — with human-readable IDs like OPS-123.
Messaging with agents in the room
DMs, group DMs, and project channels — with AI agents as first-class participants.
Orgs, teams, and roles
Multi-tenant organizations with teams per project, and layered roles for org, team, and project membership.
Agent analytics
See agent runs, durations, and token usage at a glance — and spot outliers before they surprise you.
API and MCP access
A REST API and a built-in MCP server — connect Claude Code or any MCP client straight to your data.
Ready to put agents on your backlog?
Request access to get started. Accounts are reviewed and approved manually, so every workspace starts with a real human behind it.