junhoyeo/contrabass

🎸 A project-level orchestrator for AI coding agents — Go & Charm stack implementation of OpenAI's Symphony

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Summary Information

Updated 49 minutes ago
Added to GitGenius on August 31st, 2026
Created on March 5th, 2026
Open Issues & Pull Requests: 2 (+0)
Number of forks: 25
Total Stargazers: 219 (+0)
Total Subscribers: 2 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 7.8 hours
Mean response time: 13.5 days
90th percentile: 52.3 days
Tracked items: 4

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Issue Activity (beta)

Open issues: 2
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 92 days
Stale 30+ days: 2
Stale 90+ days: 1

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

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Detailed Description

Contrabass is a project-level orchestrator for AI coding agents built in Go using the Charm stack.

The tool addresses the challenge of coordinating multiple AI agents working on a single codebase by implementing OpenAI's Symphony architecture. Rather than running agents independently, Contrabass orchestrates them at the project level, allowing agents to work together on coding tasks while maintaining awareness of the broader codebase context. The implementation leverages Go for performance and the Charm stack for terminal user interface capabilities, enabling developers to monitor and interact with agent orchestration through a TUI.

Contrabass suits teams exploring AI-assisted development workflows where multiple agents need to collaborate on the same project. It is particularly relevant for developers interested in the Symphony pattern for agent coordination and those comfortable working with Go-based tooling. The project targets users who want to move beyond single-agent coding assistance toward more sophisticated multi-agent orchestration scenarios.

Development activity shows consistent engagement with the codebase through regular commits addressing both features and maintenance. The project maintains an organized structure with clear separation between core orchestration logic and interface components. Pull requests indicate active refinement of the agent coordination mechanisms and TUI interactions. Issue tracking reflects ongoing work to improve reliability and expand orchestration capabilities. The maintainer demonstrates responsiveness to the project's direction through steady incremental improvements rather than sporadic bursts of activity.