Symphony - An open-source spec for Codex orchestration
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What if every open issue had a Codex agent? That’s the idea behind Symphony, an open-source agent orchestrator for Codex that turns task trackers into always-on systems for agentic work, letting humans focus on review and direction.
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Hunter
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Symphony – Open-source spec for orchestrating coding agents 🚀
What it is: Symphony is an open-source specification from OpenAI for orchestrating coding agents, turning your issue tracker into an always-on execution engine.
Problem → Solution: Managing multiple coding agents creates context-switching overhead. Symphony solves this by assigning agents directly to tasks, automating execution without constant human supervision.
What makes it different: Instead of managing sessions, Symphony uses your task tracker (like Linear) as the control plane, agents continuously pick up and execute work in parallel.
Key features:
Agent-per-task orchestration
Continuous execution + auto-retries
Workspace isolation per issue
Built-in observability & logging
Scales parallel work via DAG-based execution
Benefits:
Up to 500% increase in shipped PRs
Reduced cognitive load for engineers
Faster experimentation & iteration
Who it’s for: Engineering teams, AI-native dev workflows, and builders leveraging coding agents at scale
Use cases:
Automating feature development
Large-scale refactoring
Parallel task execution across repos
AI-driven product development
If you're building with AI agents, this is a glimpse into the future of software workflows.
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@rohanrecommends How do you see Symphony changing the day-to-day for a small engineering team; like 5 devs already juggling Linear and a few coding agents?
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Chatgpt-5.5 has came back after a while of being on the DL. This is now doing more of my work than any other model, quite nice to use.
Replies
Symphony – Open-source spec for orchestrating coding agents 🚀
What it is: Symphony is an open-source specification from OpenAI for orchestrating coding agents, turning your issue tracker into an always-on execution engine.
Problem → Solution: Managing multiple coding agents creates context-switching overhead. Symphony solves this by assigning agents directly to tasks, automating execution without constant human supervision.
What makes it different: Instead of managing sessions, Symphony uses your task tracker (like Linear) as the control plane, agents continuously pick up and execute work in parallel.
Key features:
Agent-per-task orchestration
Continuous execution + auto-retries
Workspace isolation per issue
Built-in observability & logging
Scales parallel work via DAG-based execution
Benefits:
Up to 500% increase in shipped PRs
Reduced cognitive load for engineers
Faster experimentation & iteration
Who it’s for: Engineering teams, AI-native dev workflows, and builders leveraging coding agents at scale
Use cases:
Automating feature development
Large-scale refactoring
Parallel task execution across repos
AI-driven product development
If you're building with AI agents, this is a glimpse into the future of software workflows.
@rohanrecommends How do you see Symphony changing the day-to-day for a small engineering team; like 5 devs already juggling Linear and a few coding agents?
Chatgpt-5.5 has came back after a while of being on the DL. This is now doing more of my work than any other model, quite nice to use.