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 ghcr.io/galangal-media/galangal-hub:latest

# Enable in your project
# .galangal/config.yaml
hub:
  enabled: true
  url: ws://your-server:8080/ws/agent

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-0.23.1.tar.gz (282.7 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-0.23.1-py3-none-any.whl (272.8 kB view details)

Uploaded Python 3

File details

Details for the file galangal_orchestrate-0.23.1.tar.gz.

File metadata

  • Download URL: galangal_orchestrate-0.23.1.tar.gz
  • Upload date:
  • Size: 282.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for galangal_orchestrate-0.23.1.tar.gz
Algorithm Hash digest
SHA256 82a9e1dc30c4248f20ac2653502405a947944f961ca8b128003d6e2501766ffd
MD5 1be3f8e3434ba3a0b3ceb5a09d998650
BLAKE2b-256 0643ff029b4196ca0565e8888e5dc9c86beac50ef7663ba596363aa7391ccd8e

See more details on using hashes here.

Provenance

The following attestation bundles were made for galangal_orchestrate-0.23.1.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-0.23.1-py3-none-any.whl.

File metadata

File hashes

Hashes for galangal_orchestrate-0.23.1-py3-none-any.whl
Algorithm Hash digest
SHA256 15c6918ce6667c2ae0d2f2efa876b49895b0886f08b5881a619ec84a62d65f06
MD5 831d63091fddc8ffca64b12348573138
BLAKE2b-256 824ce623f1fe208c8437747f4d7ef9edbc309cf74325371895b8b553399620dc

See more details on using hashes here.

Provenance

The following attestation bundles were made for galangal_orchestrate-0.23.1-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