Skip to main content

AI-driven development workflow orchestrator

Project description

Galangal Orchestrate

Turn AI coding assistants into structured development workflows.

Galangal wraps Claude Code CLI to execute a deterministic, multi-stage development pipeline with approval gates, validation, and automatic rollback.

Why Use This?

Instead of open-ended AI coding sessions, you get a structured workflow:

  1. PM - AI writes requirements, you approve before code is written
  2. Design - AI proposes architecture, you approve the approach
  3. Dev - AI implements according to approved specs
  4. Test/QA/Review - Automated validation with rollback on failure
  5. Docs - AI updates documentation

If anything fails, the workflow rolls back with context about what went wrong.

Quick Start

# Install
pip install galangal-orchestrate

# Initialize in your project
cd your-project
galangal init

# Start a task
galangal start "Add user authentication with JWT"

# Check status / resume
galangal status
galangal resume

Requirements

Commands

Command Description
galangal init Initialize in current project
galangal start "desc" Start new task
galangal status Show task status
galangal resume Continue active task
galangal list List all tasks
galangal complete Finalize & create PR

Interactive controls during execution:

  • ^Q Quit/pause
  • ^I Interrupt with feedback
  • ^N Skip stage
  • ^B Go back
  • ^E Pause for manual edit

Galangal Hub

Monitor and control workflows remotely across multiple machines.

# Deploy hub server (Docker)
docker run -d -p 8080:8080 \
  -e HUB_USERNAME=admin \
  -e HUB_PASSWORD=your-password \
  -e HUB_API_KEY=your-api-key \
  -v galangal-hub-data:/data \
  ghcr.io/galangal-media/galangal-hub:latest
# Enable in your project (.galangal/config.yaml)
hub:
  enabled: true
  url: ws://your-server:8080/ws/agent
  api_key: your-api-key  # Must match HUB_API_KEY on server

See Hub Documentation for full setup instructions.

Documentation

Topic Link
Getting Started docs/getting-started.md
Configuration docs/local-development/configuration.md
Workflow Stages docs/local-development/workflow-pipeline.md
Hub (Remote Control) docs/hub/README.md
GitHub Integration docs/github-integration.md
Troubleshooting docs/troubleshooting.md
Architecture docs/local-development/architecture.md

Task Types

Type Stages Use Case
Feature Full workflow New functionality
Bug Fix PM → DEV → TEST → QA → REVIEW Fixing bugs
Refactor PM → DESIGN → DEV → TEST → REVIEW Code restructuring
Chore PM → DEV → TEST → REVIEW Config, dependencies
Docs PM → DOCS Documentation only
Hotfix PM → DEV → TEST Critical fixes

License

MIT License - see LICENSE file.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

galangal_orchestrate-0.28.10.tar.gz (307.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

galangal_orchestrate-0.28.10-py3-none-any.whl (298.1 kB view details)

Uploaded Python 3

File details

Details for the file galangal_orchestrate-0.28.10.tar.gz.

File metadata

  • Download URL: galangal_orchestrate-0.28.10.tar.gz
  • Upload date:
  • Size: 307.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for galangal_orchestrate-0.28.10.tar.gz
Algorithm Hash digest
SHA256 9530c1d77f04aaaa76c9d87f88773198b64b48be400db9945e88fe2cb1a01ded
MD5 e13bc159a2280f1715cfff06e4e345a2
BLAKE2b-256 52fc83165050853504f9f01546d3873f3530e066b786587830165308092c4edd

See more details on using hashes here.

Provenance

The following attestation bundles were made for galangal_orchestrate-0.28.10.tar.gz:

Publisher: publish.yml on Galangal-Media/galangal-orchestrate

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file galangal_orchestrate-0.28.10-py3-none-any.whl.

File metadata

File hashes

Hashes for galangal_orchestrate-0.28.10-py3-none-any.whl
Algorithm Hash digest
SHA256 75e2d92e682836a988d990e64e6bb1d1234ce11718087d334c546ede68ae375d
MD5 6a449d85a64bd833832399b6fae63bb3
BLAKE2b-256 eb396e818dc80cd453a8244baf1fa69ea53782ef393477f3401755812ffc07a6

See more details on using hashes here.

Provenance

The following attestation bundles were made for galangal_orchestrate-0.28.10-py3-none-any.whl:

Publisher: publish.yml on Galangal-Media/galangal-orchestrate

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page