How does Symphony handle failed tasks?

It classifies errors into categories like transient, resource, or logic. Transient errors are automatically retried with exponential backoff, while logic errors prompt the user for manual intervention.

How do I see the progress of my plan execution?

Symphony includes a status line visualization that integrates with Claude Code's settings, providing a progress bar and status updates directly in your terminal.

What is a symphony-phases block?

It is a JSON-formatted code block within a markdown plan file that defines the IDs, objectives, tasks, and dependencies for Symphony to parse and execute.

Can Symphony run tasks in parallel?

Yes, Symphony uses the Task tool to execute independent phases concurrently. It is optimized to handle multiple background processes to speed up complex workflows.

Symphony Phase Orchestrator

Name: Symphony Phase Orchestrator
Author: xavierchoi

byxavierchoi

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Productivity & Workflow

Orchestrates complex multi-phase coding projects by executing tasks in parallel with intelligent dependency management and automatic retries.

About

Symphony is a sophisticated execution engine for Claude Code designed to transform static project plans into dynamic, parallelized workflows. By parsing specialized symphony-phases blocks in your plan files, it constructs a Directed Acyclic Graph (DAG) to run independent tasks concurrently while ensuring data and artifacts are passed correctly between dependent steps. It features robust error handling including automated classification, exponential backoff retries, and a real-time progress status line, making it the ideal tool for managing large-scale, multi-step software development lifecycles within the Claude environment.

Key Features

8 GitHub stars
Real-time orchestration monitoring via a custom terminal status line
Intelligent error classification and automatic retries with exponential backoff
Flexible user intervention options for handling exhausted retries or logic errors
Parallel phase execution using Kahn’s algorithm for optimal dependency resolution
Artifact propagation between phases to ensure continuous context delivery

Use Cases

Managing large-scale codebase refactors that require simultaneous updates across multiple modules
Automating complex migration sequences involving sequential database and API changes
Orchestrating the development of multi-component features from a single high-level plan

About

Key Features

8 GitHub stars
Real-time orchestration monitoring via a custom terminal status line
Intelligent error classification and automatic retries with exponential backoff
Flexible user intervention options for handling exhausted retries or logic errors
Parallel phase execution using Kahn’s algorithm for optimal dependency resolution
Artifact propagation between phases to ensure continuous context delivery

Use Cases

Managing large-scale codebase refactors that require simultaneous updates across multiple modules
Automating complex migration sequences involving sequential database and API changes
Orchestrating the development of multi-component features from a single high-level plan