Guidon vs Jira: a lighter alternative for small teams
Jira covers every enterprise workflow. Guidon is a lighter board that keeps the why, the dead ends and verified knowledge with each task.
Checked 2026-11-09. Features change - see Jira's site for theirs. All comparisons
The short answer
Jira can model almost any process and fits large organisations. Guidon is for small teams who find Jira heavy: a simple board where each task carries its decisions, its failed attempts and the knowledge a person checked.
Choose Guidon if
- You're a small team and want a board you don't have to administer
- You want AI agents without per-user AI credits
- You want dead ends and verified facts kept with the work
Choose Jira if
- You need complex workflows, permissions and reporting at enterprise scale
- Your company already runs on Atlassian
- You need its marketplace of integrations
At a glance
Guidon is better on 4 of 7 topics below; Jira is better where it says so.
| Topic | Guidon | Jira |
|---|---|---|
| Self-hosting | Docker Compose with plain PostgreSQL; every feature, no plan limits on your own install. | Data Center edition for large organisations. |
| Source code | Open source (AGPL-3.0). | Closed source. |
| What was already tried | Better: attempts are part of every task - approach, outcome and why it failed. An agent starting the task gets the dead ends with start_task, and is reminded to record its own. | Not a built-in feature in their docs (as of 2026-11-09); attempts end up in comments, if anywhere. |
| Verified vs AI-guessed knowledge | Better: project memory keeps what a person verified apart from what an AI wrote; anything an agent adds or changes waits in a review queue. | No separate verified-vs-AI status in their docs (as of 2026-11-09). |
| Context in your repository | Better: export the project as AGENTS.md - approved brief, verified facts, known dead ends - for Claude Code, Codex and Cursor. | No AGENTS.md export in their docs (as of 2026-11-09). |
| AI agents (MCP) | MCP server and REST API; works with Claude, ChatGPT, Cursor, Codex and any MCP client. You bring the AI - no AI credits. | Rovo AI and an MCP server on paid plans, billed in credits. |
| Enterprise workflows | Configurable columns, priorities and roles. | Better: almost any workflow, scheme and report. |
Switching from Jira
Export your Jira tasks to CSV and use Import on a Guidon board: titles, descriptions, statuses, priorities, labels, assignees and due dates are matched to your columns, with a preview of anything that doesn't match. Nothing on the board changes until you confirm.
Questions
Can I import from Jira?
Yes - Jira's CSV export (Summary, Status, Priority, Labels, Due date) imports directly.
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Try Guidon free - start a project or explore the sandbox. Self-hosted with every feature: self-hosting guide.