Spawn and coordinate parallel agents for faster completion. Use when running parallel tasks, spawning subagents, coordinating concurrent work, or optimizing throughput.
Scanned 9/4/2026
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---
name: parallel-agent-spawner
description: Spawn and coordinate parallel agents for faster completion. Use when running parallel tasks, spawning subagents, coordinating concurrent work, or optimizing throughput.
version: 1.0.0
category: autonomous-coding
layer: orchestration
---
# Parallel Agent Spawner
Spawns and coordinates parallel agents for faster feature completion.
## Quick Start
### Spawn Parallel Agents
```python
from scripts.parallel_spawner import ParallelSpawner
spawner = ParallelSpawner(project_dir)
results = await spawner.spawn_parallel(
tasks=["feature-1", "feature-2", "feature-3"],
agent_type="coding"
)
```
### Coordinate Results
```python
await spawner.wait_all()
summary = spawner.get_results_summary()
```
## Parallel Execution Model
```
┌─────────────────────────────────────────────────────────────┐
│ PARALLEL EXECUTION │
├─────────────────────────────────────────────────────────────┤
│ │
│ MAIN ORCHESTRATOR │
│ ├─ Analyzes feature dependencies │
│ ├─ Identifies parallelizable work │
│ ├─ Spawns worker agents │
│ └─ Coordinates results │
│ │
│ ┌──────────┐ ┌──────────┐ ┌──────────┐ │
│ │ Agent 1 │ │ Agent 2 │ │ Agent 3 │ │
│ │ │ │ │ │ │ │
│ │ feature-1│ │ feature-2│ │ feature-3│ │
│ └────┬─────┘ └────┬─────┘ └────┬─────┘ │
│ │ │ │ │
│ ▼ ▼ ▼ │
│ ┌─────────────────────────────────────────┐ │
│ │ RESULT AGGREGATOR │ │
│ │ ├─ Collects all results │ │
│ │ ├─ Resolves conflicts │ │
│ │ ├─ Merges code changes │ │
│ │ └─ Updates feature list │ │
│ └─────────────────────────────────────────┘ │
│ │
└─────────────────────────────────────────────────────────────┘
```
## Agent Types
| Type | Purpose | Parallelizable |
|------|---------|----------------|
| **coding** | Implement features | Yes, if independent |
| **testing** | Run E2E tests | Yes |
| **review** | Code review | Yes |
| **research** | Explore codebase | Yes |
## Spawn Configuration
```python
@dataclass
class SpawnConfig:
max_parallel: int = 3
timeout_per_agent: int = 1800 # 30 min
retry_failed: bool = True
merge_strategy: str = "sequential" # or "git-merge"
```
## Integration Points
- **autonomous-loop**: Provides work to parallelize
- **coding-agent**: Worker agents for features
- **checkpoint-manager**: Create checkpoints before spawn
- **error-recoverer**: Handle agent failures
## References
- `references/PARALLELIZATION-STRATEGY.md` - Strategy guide
- `references/CONFLICT-RESOLUTION.md` - Merge conflicts
## Scripts
- `scripts/parallel_spawner.py` - Core spawner
- `scripts/agent_pool.py` - Agent pool management
- `scripts/result_aggregator.py` - Aggregate results
- `scripts/dependency_analyzer.py` - Find parallelizable work
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