Open source · Self-hosted · The AI-native Jira & Scrum replacement

Ship software, not Scrum ceremonies.

AI agents run your triage, specs, and estimates end-to-end — and developers earn XP for what actually reaches production. No sprints, no story points, no standups. Just shipping.

Apache 2.0Self-hosted — data stays localRuns on Claude, Copilot, or CodexOpen source
The BUD board — every feature tracked from backlog to production in one view
Running in production — real numbers, not projections
12
features shipped to production
~15 days
median time, idea → production
795
pull requests tracked to merge
891
features auto-mapped across 23 repos
0
story points estimated, ever
From a production workspace running its entire delivery process on Bodhiorchard · July 2026
How it works

From a Slack message to production.

One flow, run by agents, steered by your team — no ticket grooming in between.

01

A message in

Drop a request in Slack. The Triage Agent asks the clarifying questions a good PM would, then turns the thread into a scoped, estimated BUD.

Slack triage — the Triage Agent turns a Slack note into a scoped, estimated unit of work
02

Agents draft, humans decide

Spec, tech architecture, and test plan are drafted with full codebase context — real files, real call graphs. Your team reviews and steers instead of staring at blank pages.

Tech spec — AI drafts architecture, user flows and edge cases with codebase context
03

Ship the PR, earn the XP

Work flows through development, code review, testing, UAT, and production in one living document. XP lands when the work actually ships — not when a ticket moves.

XP profile — developers level up for shipped, tested, production-grade work
What you get

Less process. More shipped.

Scrum & Jira vs Bodhiorchard

The ceremonies you'll never run again.

Standups
Daily status meeting
Status agent compiles progress automatically
Sprint planning
Two-week sprints, capacity math
Continuous flow with forecasted dates
Estimation
Story points, planning poker
AI-PERT + Monte Carlo confidence dates
Specification
PM writes the spec by hand
BUD Agent drafts it with codebase context
Backlog grooming
Weekly grooming sessions
Triage Agent scopes work as it arrives
Retrospectives
Retro after the damage is done
Learning Agent captures lessons on every close
See the full comparison
Gamification, done honestly

XP for shipping. Not for activity.

Engineering metrics get gamed the moment they become targets. Bodhiorchard rewards exactly one thing — work that reaches production — so the game and the goal are the same.

  • Outcomes, not activity
    XP is awarded when work reaches develop, UAT, and production — never for ticket counts, hours logged, or lines of code.
  • Shared on shipping
    Shipping XP splits across everyone who contributed commits or PRs to the BUD, so collaboration is never penalised.
  • Recognition, not surveillance
    Leaderboards rank shipped value to celebrate it. Streaks and mini-games keep the team engaged but never award work XP.
  • Levels unlock the garden
    Quality outcomes earn skill points to spend on characters, houses, and vehicles in the 3D orchard — fun stays fun, reviews stay reviews.
Leaderboard ranked by shipped value — what reached production, not ticket count

And yes — your codebase is a living orchard

Repos as trees, features as fruit, your team walking the garden. A two-minute tour of the world your shipped work grows in.

No lock-in, either direction

Switching is the easy part.

Jira import — connect Jira Cloud and import issues into BUDs

Bring your Jira. Then leave it behind.

Connect Jira Cloud and import your issues into BUDs in minutes — then let the agents run the process from there.

MCP support — connect your local AI assistant to Bodhiorchard

Bring your own AI.

Your local assistant — Claude, Copilot, or Codex — connects over MCP to read org context, draft BUDs, and write specs, with every change versioned for one-click revert.

Run your next feature without a single ceremony.

Bodhiorchard is open source and self-hosted. Clone it, import your Jira backlog, and let the agents take your first feature from conversation to production.

Get started on GitHub