cursor-agent-orchestrator

You can orchestrate parallel cursor-agent runs by automating subprocess management to process large task batches concurrently. The system coordinates concurrent agents across files, databases, or API work while enforcing per-task timeouts and aggregating results.

Capturing structured output from concurrent subprocesses is handled through JSONL logging and transcript capture. This records aggregated results and provides structured logs for analysis and audit trails during parallel orchestration.

Timeout enforcement for individual tasks is supported during parallel orchestration. The system coordinates concurrent agents and enforces per-task timeouts to ensure robust failure handling across batch processing workflows.

Graceful shutdown for async subprocess management is implemented with optional heartbeat monitoring. This ensures robust failure handling and cleanly terminates cursor-agent processes when stopping parallel task orchestration.

Batch tasks across files, databases, or API work are fully supported by the parallel orchestration design. It coordinates concurrent agents to process these large task batches reliably with robust error handling.

Concurrent agent runs without structured logging fail due to lack of result aggregation and audit trails. Implementing JSONL logging and transcript capture provides the necessary failure handling and analysis data for reliable orchestration.