worker-agents

To run parallel Claude Code tasks without bloating context, spawn ephemeral worker sessions that execute independently. Each worker receives a scoped task, generates deliverables, and logs progress to a per-worker file, keeping the main session clean and focused.

You should spawn isolated workers for long-running tasks exceeding a few minutes that can run concurrently. This approach suits independent research, design documentation, and scaffolding new features, ensuring these tasks execute without blocking the main session.

Lifecycle management for spawned Claude Code sessions involves starting, monitoring, and cleaning up ephemeral workers. The system tracks progress via a bus-based communication channel and per-worker log files, automatically terminating and cleaning up the session once the scoped task is complete.

Yes, you can prevent overlapping file edits when running parallel Claude workers. The orchestration system includes built-in safeguards that protect against file overlap and unauthorized changes, ensuring isolated sessions do not conflict when modifying deliverables concurrently.

Yes, worker-agents supports bus-based communication for monitoring progress. Workers track their status via the bus, allowing the main session to monitor active tasks and receive updates without directly consuming the isolated worker's context.