openai/symphony

Symphony turns project work into isolated, autonomous implementation runs, allowing teams to manage work instead of supervising coding agents.

Owned by OpenAI

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openai/symphony has 27k+ stars and 2.5k+ forks on GitHub, is written in Elixir, and was last pushed on Sep 15, 2026. Data as of . Signed-in members get hourly updates — create a free account.

Summary Information

Updated 1 hour ago
Added to GitGenius on August 31st, 2026
Created on February 26th, 2026
Open Issues & Pull Requests: 8 (+0)
GitHub issues: Disabled - open counts may still include pull requests.
Number of forks: 2,880
Total Stargazers: 27,736 (+1)
Total Subscribers: 179 (+0)

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Detailed Description

Symphony is a code orchestration framework that manages autonomous implementation runs for project work.

The tool addresses the challenge of coordinating AI-driven coding agents by structuring work into isolated, autonomous runs rather than requiring continuous human supervision. It transforms project tasks into discrete implementation units that can execute independently while remaining coordinated within a larger workflow. This approach shifts the burden from real-time agent oversight to asynchronous work management, enabling teams to queue, monitor, and coordinate multiple implementation efforts without constant intervention.

Teams should adopt Symphony when they need to scale AI-assisted development across multiple concurrent tasks without dedicating engineers to supervise each agent in real time. It suits projects where work can be decomposed into independent implementation runs that benefit from autonomous execution. The framework is particularly valuable for organizations looking to integrate coding agents into their development pipeline while maintaining control over work prioritization and resource allocation.

The project shows active development with regular commits addressing core functionality and infrastructure. Work spans implementation of the orchestration system itself, refinement of how runs are isolated and executed, and expansion of the framework's capabilities for managing agent workflows. The codebase receives ongoing attention to both feature development and maintenance of the underlying systems that coordinate autonomous runs.