diff --git a/tools/parallel-capacity-test/README.md b/tools/parallel-capacity-test/README.md
new file mode 100644
index 0000000..488b90c
--- /dev/null
+++ b/tools/parallel-capacity-test/README.md
@@ -0,0 +1,74 @@
+# Parallel Capacity Test Tool
+
+Tests the practical limits of parallel agent execution for Hermes/OpenCode.
+
+## Purpose
+
+This tool stress tests Hermes to find the practical limit of parallel agent execution on the target machine. It:
+
+- Spawns N concurrent `opencode run` agents
+- Measures CPU, memory, and response time
+- Ramps up from 1 to higher agent counts
+- Identifies failure points and performance degradation
+
+## Files
+
+- `run_test.sh` - Bash script for running tests
+- `parallel_capacity_test.py` - Python tool with more detailed metrics
+- `results/` - Directory where test results are saved
+
+## Usage
+
+### Quick Test (1, 2, 3, 5, 8 agents)
+
+```bash
+cd tools/parallel-capacity-test
+./parallel_capacity_test.py --quick
+```
+
+### Full Test Suite
+
+```bash
+./parallel_capacity_test.py --agents 15 --timeout 120
+```
+
+### Bash Script Usage
+
+```bash
+./run_test.sh quick    # Quick test
+./run_test.sh full     # Full test up to MAX_AGENTS
+```
+
+## Environment Variables
+
+| Variable | Default | Description |
+|----------|---------|-------------|
+| MAX_AGENTS | 15 | Maximum number of agents to test |
+| STEP | 1 | Step size for agent increment |
+| TASK_TIMEOUT | 120 | Timeout for each agent task |
+
+## Metrics Collected
+
+- **Response Time** - Time from agent launch to completion
+- **CPU Usage** - System-wide CPU utilization percentage
+- **Memory Usage** - System-wide memory utilization percentage
+- **Success Rate** - Percentage of agents completing successfully
+- **Process Count** - Number of opencode processes running
+
+## Expected Behavior
+
+Based on the Hermes architecture:
+
+| Agent Count | Expected Performance |
+|-------------|---------------------|
+| 1-3 | Optimal - safe for production |
+| 4-6 | Good - monitor closely |
+| 7-10 | Degraded - not recommended |
+| 10+ | Poor - avoid without significant resources |
+
+## Output Files
+
+- `results_YYYYMMDD_HHMMSS.json` - Complete raw results
+- `summary_YYYYMMDD_HHMMSS.csv` - CSV summary of metrics
+- `report_YYYYMMDD_HHMMSS.md` - Markdown analysis report
+EOF; __hermes_rc=$?; printf '__HERMES_FENCE_a9f7b3__'; exit $__hermes_rc
diff --git a/tools/parallel-capacity-test/parallel_capacity_test.py b/tools/parallel-capacity-test/parallel_capacity_test.py
new file mode 100755
index 0000000..edfd1b9
--- /dev/null
+++ b/tools/parallel-capacity-test/parallel_capacity_test.py
@@ -0,0 +1,356 @@
+#!/usr/bin/env python3
+"""
+Parallel Capacity Test Tool for Hermes/OpenCode
+Tests concurrent agent capacity by spawning N parallel opencode run tasks.
+"""
+
+import argparse
+import json
+import os
+import subprocess
+import sys
+import time
+import threading
+import statistics
+from dataclasses import dataclass, asdict
+from datetime import datetime
+from pathlib import Path
+from typing import List, Optional
+
+try:
+    import psutil
+    HAS_PSUTIL = True
+except ImportError:
+    HAS_PSUTIL = False
+    print("[WARN] psutil not available - resource monitoring will be limited")
+
+
+@dataclass
+class AgentResult:
+    agent_id: int
+    duration: float
+    status: str
+    return_code: int
+    output: str = ""
+
+
+@dataclass
+class ResourceSample:
+    timestamp: float
+    cpu_percent: float
+    memory_percent: float
+    opencode_processes: int
+    agent_count: int
+
+
+@dataclass
+class TestRun:
+    agent_count: int
+    total_duration: float
+    success_count: int
+    failed_count: int
+    timeout_count: int
+    avg_response_time: float
+    stddev_response_time: float
+    min_response_time: float
+    max_response_time: float
+    peak_cpu_percent: float
+    avg_cpu_percent: float
+    peak_memory_percent: float
+    avg_memory_percent: float
+    peak_opencode_procs: int
+
+
+class ResourceMonitor:
+    def __init__(self, sample_interval: float = 1.0):
+        self.sample_interval = sample_interval
+        self.samples: List[ResourceSample] = []
+        self._stop_event = threading.Event()
+        self._thread: Optional[threading.Thread] = None
+        self._current_agent_count = 0
+
+    def start(self, agent_count: int):
+        self._current_agent_count = agent_count
+        self.samples = []
+        self._stop_event.clear()
+        self._thread = threading.Thread(target=self._monitor_loop)
+        self._thread.daemon = True
+        self._thread.start()
+
+    def stop(self) -> List[ResourceSample]:
+        self._stop_event.set()
+        if self._thread:
+            self._thread.join(timeout=5)
+        return self.samples
+
+    def _monitor_loop(self):
+        while not self._stop_event.is_set():
+            try:
+                sample = self._collect_sample()
+                self.samples.append(sample)
+            except Exception as e:
+                print(f"[WARN] Error collecting resource sample: {e}")
+            self._stop_event.wait(self.sample_interval)
+
+    def _collect_sample(self) -> ResourceSample:
+        timestamp = time.time()
+        try:
+            opencode_procs = len([p for p in psutil.process_iter(['name']) 
+                                 if 'opencode' in p.info['name'].lower()])
+        except Exception:
+            opencode_procs = 0
+
+        if HAS_PSUTIL:
+            cpu_percent = psutil.cpu_percent(interval=0.1)
+            memory_percent = psutil.virtual_memory().percent
+        else:
+            cpu_percent = 0.0
+            memory_percent = 0.0
+
+        return ResourceSample(
+            timestamp=timestamp,
+            cpu_percent=cpu_percent,
+            memory_percent=memory_percent,
+            opencode_processes=opencode_procs,
+            agent_count=self._current_agent_count
+        )
+
+
+class ParallelCapacityTester:
+    def __init__(self, timeout: int = 120, workdir: Optional[str] = None):
+        self.timeout = timeout
+        self.workdir = workdir or "/tmp/parallel_test"
+        self.monitor = ResourceMonitor(sample_interval=1.0)
+        self.results: List[TestRun] = []
+
+    def _create_test_workdir(self, agent_id: int) -> str:
+        agent_dir = os.path.join(self.workdir, f"agent_{agent_id}_{int(time.time())}")
+        os.makedirs(agent_dir, exist_ok=True)
+        return agent_dir
+
+    def _run_single_agent(self, agent_id: int) -> AgentResult:
+        workdir = self._create_test_workdir(agent_id)
+        start_time = time.time()
+        task = "Respond with exactly: PARALLEL_TEST_OK"
+
+        try:
+            result = subprocess.run(
+                ['opencode', 'run', task, '--workdir', workdir],
+                capture_output=True,
+                text=True,
+                timeout=self.timeout
+            )
+            duration = time.time() - start_time
+            output = result.stdout + result.stderr
+            success = 'PARALLEL_TEST_OK' in output
+
+            return AgentResult(
+                agent_id=agent_id,
+                duration=duration,
+                status='success' if success else 'failed',
+                return_code=result.returncode,
+                output=output[:500]
+            )
+        except subprocess.TimeoutExpired:
+            return AgentResult(
+                agent_id=agent_id,
+                duration=self.timeout,
+                status='timeout',
+                return_code=-1
+            )
+        except Exception as e:
+            return AgentResult(
+                agent_id=agent_id,
+                duration=time.time() - start_time,
+                status='failed',
+                return_code=-1,
+                error=str(e)
+            )
+
+    def _run_parallel_agents(self, num_agents: int) -> TestRun:
+        print(f"\n[TEST] Running with {num_agents} concurrent agent(s)...")
+        self.monitor.start(num_agents)
+
+        threads = []
+        results = []
+        results_lock = threading.Lock()
+
+        def run_and_record(agent_id: int):
+            result = self._run_single_agent(agent_id)
+            with results_lock:
+                results.append(result)
+
+        start_time = time.time()
+
+        for i in range(1, num_agents + 1):
+            t = threading.Thread(target=run_and_record, args=(i,))
+            t.start()
+            threads.append(t)
+
+        all_done = False
+        elapsed = 0
+        while elapsed < self.timeout and not all_done:
+            time.sleep(1)
+            elapsed = int(time.time() - start_time)
+            all_done = all(not t.is_alive() for t in threads)
+
+        subprocess.run(['pkill', '-f', 'opencode run'], capture_output=True)
+
+        for t in threads:
+            t.join(timeout=5)
+
+        resource_samples = self.monitor.stop()
+        total_duration = time.time() - start_time
+
+        success_count = sum(1 for r in results if r.status == 'success')
+        failed_count = sum(1 for r in results if r.status == 'failed')
+        timeout_count = sum(1 for r in results if r.status == 'timeout')
+
+        durations = [r.duration for r in results]
+        avg_duration = statistics.mean(durations) if durations else 0
+        stddev = statistics.stdev(durations) if len(durations) > 1 else 0
+        min_duration = min(durations) if durations else 0
+        max_duration = max(durations) if durations else 0
+
+        if resource_samples:
+            peak_cpu = max(s.cpu_percent for s in resource_samples)
+            avg_cpu = statistics.mean(s.cpu_percent for s in resource_samples)
+            peak_mem = max(s.memory_percent for s in resource_samples)
+            avg_mem = statistics.mean(s.memory_percent for s in resource_samples)
+            peak_procs = max(s.opencode_processes for s in resource_samples)
+        else:
+            peak_cpu = avg_cpu = peak_mem = avg_mem = peak_procs = 0
+
+        print(f"[RESULT] {num_agents} agents: {success_count} success, {failed_count} failed, {timeout_count} timeout")
+
+        return TestRun(
+            agent_count=num_agents,
+            total_duration=total_duration,
+            success_count=success_count,
+            failed_count=failed_count,
+            timeout_count=timeout_count,
+            avg_response_time=avg_duration,
+            stddev_response_time=stddev,
+            min_response_time=min_duration,
+            max_response_time=max_duration,
+            peak_cpu_percent=peak_cpu,
+            avg_cpu_percent=avg_cpu,
+            peak_memory_percent=peak_mem,
+            avg_memory_percent=avg_mem,
+            peak_opencode_procs=peak_procs
+        )
+
+    def run_capacity_test(self, max_agents: int = 10, step: int = 1,
+                         quick: bool = False) -> List[TestRun]:
+        if quick:
+            agent_counts = [1, 2, 3, 5, 8]
+        else:
+            agent_counts = list(range(1, max_agents + 1, step))
+
+        print(f"[INFO] Starting capacity test with {len(agent_counts)} configurations")
+        print(f"[INFO] Agent counts: {agent_counts}")
+
+        self.results = []
+
+        for count in agent_counts:
+            subprocess.run(['pkill', '-f', 'opencode run'], capture_output=True)
+            time.sleep(2)
+            result = self._run_parallel_agents(count)
+            self.results.append(result)
+
+        return self.results
+
+    def save_results(self, output_dir: str):
+        output_path = Path(output_dir)
+        output_path.mkdir(parents=True, exist_ok=True)
+        timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
+
+        json_file = output_path / f"results_{timestamp}.json"
+        with open(json_file, 'w') as f:
+            data = [asdict(run) for run in self.results]
+            json.dump(data, f, indent=2)
+        print(f"[INFO] Results saved to: {json_file}")
+
+        csv_file = output_path / f"summary_{timestamp}.csv"
+        with open(csv_file, 'w') as f:
+            f.write("agents,duration,success,failed,timeout,avg_response,stddev,min_response,max_response,peak_cpu,avg_cpu,peak_mem,avg_mem,peak_procs\n")
+            for run in self.results:
+                f.write(f"{run.agent_count},{run.total_duration:.2f},{run.success_count},"
+                       f"{run.failed_count},{run.timeout_count},{run.avg_response_time:.2f},"
+                       f"{run.stddev_response_time:.2f},{run.min_response_time:.2f},"
+                       f"{run.max_response_time:.2f},{run.peak_cpu_percent:.1f},"
+                       f"{run.avg_cpu_percent:.1f},{run.peak_memory_percent:.1f},"
+                       f"{run.avg_memory_percent:.1f},{run.peak_opencode_procs}\n")
+        print(f"[INFO] Summary saved to: {csv_file}")
+
+        report_file = output_path / f"report_{timestamp}.md"
+        self._generate_markdown_report(report_file)
+        print(f"[INFO] Report saved to: {report_file}")
+
+        return str(json_file), str(csv_file), str(report_file)
+
+    def _generate_markdown_report(self, output_file: Path):
+        with open(output_file, 'w') as f:
+            f.write("# Parallel Capacity Test Report\n\n")
+            f.write(f"**Generated:** {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}\n\n")
+            f.write("## Summary\n\n")
+            f.write("| Agents | Duration | Success | Failed | Timeout | Avg Response | Peak CPU | Peak Mem |\n")
+            f.write("|--------|----------|---------|--------|---------|--------------|----------|----------|\n")
+            for run in self.results:
+                f.write(f"| {run.agent_count} | {run.total_duration:.1f}s | "
+                       f"{run.success_count} | {run.failed_count} | "
+                       f"{run.timeout_count} | {run.avg_response_time:.1f}s | "
+                       f"{run.peak_cpu_percent:.1f}% | {run.peak_memory_percent:.1f}% |\n")
+            f.write("\n## Key Findings\n\n")
+            successful_runs = [r for r in self.results if r.success_count == r.agent_count]
+            optimal = max(successful_runs, key=lambda r: r.agent_count, default=None)
+            if optimal:
+                f.write(f"### Optimal Configuration\n")
+                f.write(f"- **{optimal.agent_count} agents** achieved perfect success rate\n")
+                f.write(f"  - Average response time: {optimal.avg_response_time:.1f}s\n")
+                f.write(f"  - Peak CPU: {optimal.peak_cpu_percent:.1f}%\n")
+                f.write(f"  - Peak Memory: {optimal.peak_memory_percent:.1f}%\n\n")
+            f.write("## Recommendations\n\n")
+            if optimal:
+                f.write(f"1. **Recommended max agents:** {optimal.agent_count} for stable operation\n")
+            f.write("2. **Monitor closely:** 5+ agents\n")
+            f.write("3. **Implement circuit breaker** when failure rate exceeds threshold\n")
+
+
+def main():
+    parser = argparse.ArgumentParser(description='Parallel Capacity Test Tool')
+    parser.add_argument('--agents', '-n', type=int, default=10)
+    parser.add_argument('--timeout', '-t', type=int, default=120)
+    parser.add_argument('--step', '-s', type=int, default=1)
+    parser.add_argument('--quick', '-q', action='store_true')
+    parser.add_argument('--output', '-o', type=str, default=None)
+    args = parser.parse_args()
+
+    script_dir = Path(__file__).parent
+    output_dir = args.output or str(script_dir / 'results')
+
+    print("=" * 60)
+    print("Parallel Capacity Test Tool for Hermes/OpenCode")
+    print("=" * 60)
+    print(f"Max agents: {args.agents}")
+    print(f"Timeout: {args.timeout}s")
+    print()
+
+    tester = ParallelCapacityTester(timeout=args.timeout)
+
+    try:
+        tester.run_capacity_test(max_agents=args.agents, step=args.step, quick=args.quick)
+        json_file, csv_file, report_file = tester.save_results(output_dir)
+        print("\n" + "=" * 60)
+        print("TEST COMPLETE")
+        print("=" * 60)
+        print(f"JSON Results: {json_file}")
+        print(f"CSV Summary: {csv_file}")
+        print(f"Report: {report_file}")
+    except KeyboardInterrupt:
+        print("\n[ABORT] Test interrupted by user")
+        sys.exit(1)
+
+
+if __name__ == '__main__':
+    main()
diff --git a/tools/parallel-capacity-test/run_test.sh b/tools/parallel-capacity-test/run_test.sh
new file mode 100755
index 0000000..617d663
--- /dev/null
+++ b/tools/parallel-capacity-test/run_test.sh
@@ -0,0 +1,323 @@
+#!/bin/bash
+# Parallel Capacity Test Tool for Hermes/OpenCode
+# Tests concurrent agent capacity by spawning N parallel opencode run tasks
+
+set -e
+
+SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
+RESULTS_DIR="${SCRIPT_DIR}/results"
+TEMP_WORKDIR="${SCRIPT_DIR}/workdir"
+
+# Configuration
+MAX_AGENTS=${MAX_AGENTS:-15}
+STEP=${STEP:-1}
+TASK_TIMEOUT=${TASK_TIMEOUT:-120}
+REPORT_FILE="${RESULTS_DIR}/report_$(date +%Y%m%d_%H%M%S).json"
+CSV_FILE="${RESULTS_DIR}/results_$(date +%Y%m%d_%H%M%S).csv"
+
+# Colors for output
+RED='\033[0;31m'
+GREEN='\033[0;32m'
+YELLOW='\033[1;33m'
+BLUE='\033[0;34m'
+NC='\033[0m' # No Color
+
+log_info() { echo -e "${BLUE}[INFO]${NC} $1"; }
+log_success() { echo -e "${GREEN}[SUCCESS]${NC} $1"; }
+log_warn() { echo -e "${YELLOW}[WARN]${NC} $1"; }
+log_error() { echo -e "${RED}[ERROR]${NC} $1"; }
+
+setup() {
+    mkdir -p "${RESULTS_DIR}"
+    mkdir -p "${TEMP_WORKDIR}"
+    log_info "Results will be saved to: ${RESULTS_DIR}"
+}
+
+cleanup() {
+    log_info "Cleaning up background processes..."
+    pkill -f "opencode run" 2>/dev/null || true
+    rm -rf "${TEMP_WORKDIR}"/* 2>/dev/null || true
+}
+
+# Simple test task that all agents will run
+get_test_task() {
+    cat << 'TASK'
+Respond with exactly: PARALLEL_TEST_OK
+TASK
+}
+
+# Run a single opencode run task and measure its execution
+run_single_agent() {
+    local agent_id=$1
+    local workdir="${TEMP_WORKDIR}/agent_${agent_id}"
+    local output_file="${workdir}/output.txt"
+    local start_time=$2
+    
+    mkdir -p "${workdir}"
+    
+    # Run opencode and capture timing
+    local exec_start=$(date +%s.%N)
+    
+    timeout ${TASK_TIMEOUT} opencode run "$(get_test_task)" --workdir "${workdir}" 2>&1 | tee "${output_file}" &
+    local pid=$!
+    
+    echo "${pid}" > "${workdir}/pid"
+    
+    # Wait for completion and capture end time
+    wait ${pid} 2>/dev/null || true
+    local exec_end=$(date +%s.%N)
+    
+    # Calculate duration
+    local duration=$(echo "${exec_end} - ${exec_start}" | bc 2>/dev/null || echo "0")
+    
+    # Check if task succeeded
+    local status="failed"
+    if grep -q "PARALLEL_TEST_OK" "${output_file}" 2>/dev/null; then
+        status="success"
+    fi
+    
+    echo "${agent_id},${duration},${status}" >> "${RESULTS_DIR}/agent_results.csv"
+}
+
+# Monitor resource usage during test
+monitor_resources() {
+    local duration=$1
+    local sample_interval=1
+    local end_time=$(($(date +%s) + duration))
+    
+    while [ $(date +%s) -lt ${end_time} ]; do
+        # Get system metrics
+        local cpu_usage=$(top -bn1 | grep "Cpu(s)" | awk '{print $2}' | cut -d'%' -f1 2>/dev/null || echo "0")
+        local mem_info=$(free | grep Mem)
+        local mem_used=$(echo ${mem_info} | awk '{print $3}')
+        local mem_total=$(echo ${mem_info} | awk '{print $2}')
+        local mem_usage=$(echo "scale=2; ${mem_used}/${mem_total}*100" | bc 2>/dev/null || echo "0")
+        local opencode_procs=$(pgrep -f "opencode" | wc -l)
+        
+        echo "$(date +%s),${cpu_usage},${mem_usage},${opencode_procs}" >> "${RESULTS_DIR}/resource_monitor.csv"
+        
+        sleep ${sample_interval}
+    done
+}
+
+# Run test for a specific number of concurrent agents
+run_parallel_test() {
+    local num_agents=$1
+    log_info "Running test with ${num_agents} concurrent agent(s)..."
+    
+    # Initialize CSV for this run
+    echo "agent_id,duration,status" > "${RESULTS_DIR}/agent_results.csv"
+    echo "timestamp,cpu_usage,mem_usage,opencode_procs" > "${RESULTS_DIR}/resource_monitor.csv"
+    
+    local start_time=$(date +%s)
+    
+    # Start resource monitor in background
+    monitor_resources ${TASK_TIMEOUT} &
+    local monitor_pid=$!
+    
+    # Launch all agents in parallel
+    for ((i=1; i<=num_agents; i++)); do
+        run_single_agent ${i} ${start_time} &
+    done
+    
+    # Wait for all agents to complete
+    local all_done=false
+    local elapsed=0
+    while [ ${elapsed} -lt ${TASK_TIMEOUT} ] && [ "$all_done" = "false" ]; do
+        sleep 1
+        elapsed=$(($(date +%s) - start_time))
+        
+        # Check if any opencode processes are still running
+        if ! pgrep -f "opencode run" > /dev/null; then
+            all_done=true
+        fi
+    done
+    
+    # Stop monitoring
+    kill ${monitor_pid} 2>/dev/null || true
+    wait ${monitor_pid} 2>/dev/null || true
+    
+    local end_time=$(date +%s)
+    local total_duration=$((end_time - start_time))
+    
+    # Kill any remaining opencode processes
+    pkill -f "opencode run" 2>/dev/null || true
+    
+    # Calculate results
+    local success_count=$(grep -c "success" "${RESULTS_DIR}/agent_results.csv" 2>/dev/null || echo "0")
+    local fail_count=$(grep -c "failed" "${RESULTS_DIR}/agent_results.csv" 2>/dev/null || echo "0")
+    local avg_duration=$(awk -F',' 'NR>1 {sum+=$2; count++} END {if(count>0) print sum/count; else print 0}' "${RESULTS_DIR}/agent_results.csv")
+    
+    # Get peak resource usage
+    local peak_cpu=$(awk -F',' 'NR>1 {if($2>max) max=$2} END {print max+0}' "${RESULTS_DIR}/resource_monitor.csv" 2>/dev/null || echo "0")
+    local peak_mem=$(awk -F',' 'NR>1 {if($3>max) max=$3} END {print max+0}' "${RESULTS_DIR}/resource_monitor.csv" 2>/dev/null || echo "0")
+    local peak_procs=$(awk -F',' 'NR>1 {if($4>max) max=$4} END {print max+0}' "${RESULTS_DIR}/resource_monitor.csv" 2>/dev/null || echo "0")
+    
+    # Output results
+    echo "{\"agents\":${num_agents},\"duration\":${total_duration},\"success\":${success_count},\"failed\":${fail_count},\"avg_response_time\":${avg_duration},\"peak_cpu\":${peak_cpu},\"peak_mem\":${peak_mem},\"peak_opencode_procs\":${peak_procs}}"
+    
+    log_success "Test with ${num_agents} agent(s): ${success_count} success, ${fail_count} failed, avg response: ${avg_duration}s"
+}
+
+# Main test sequence - ramps up from 1 to MAX_AGENTS
+run_full_suite() {
+    log_info "Starting Parallel Capacity Test Suite"
+    log_info "Configuration: MAX_AGENTS=${MAX_AGENTS}, STEP=${STEP}, TIMEOUT=${TASK_TIMEOUT}s"
+    echo "=========================================="
+    
+    echo "# Parallel Capacity Test Results" > "${CSV_FILE}"
+    echo "# Generated: $(date)" >> "${CSV_FILE}"
+    echo "# Configuration: MAX_AGENTS=${MAX_AGENTS}, STEP=${STEP}, TIMEOUT=${TASK_TIMEOUT}s" >> "${CSV_FILE}"
+    echo "" >> "${CSV_FILE}"
+    echo "agents,duration,success,failed,avg_response_time,peak_cpu,peak_mem,peak_opencode_procs" >> "${CSV_FILE}"
+    
+    # JSON array for results
+    echo "[" > "${REPORT_FILE}"
+    local first=true
+    
+    for ((num=1; num<=MAX_AGENTS; num+=STEP)); do
+        if [ "$first" = "true" ]; then
+            first=false
+        else
+            echo "," >> "${REPORT_FILE}"
+        fi
+        
+        # Run the test
+        local result=$(run_parallel_test ${num})
+        echo "${result}" | tee -a "${REPORT_FILE}" | sed 's/^{//;s/}$//'
+        echo "${num},$(echo ${result} | jq -r '.duration,.success,.failed,.avg_response_time,.peak_cpu,.peak_mem,.peak_opencode_procs' 2>/dev/null | tr '\n' ',')" | sed 's/,$//' >> "${CSV_FILE}"
+        
+        # Brief pause between tests
+        sleep 2
+        
+        # Clean up any lingering processes
+        pkill -f "opencode run" 2>/dev/null || true
+    done
+    
+    echo "]" >> "${REPORT_FILE}"
+    
+    echo "=========================================="
+    log_success "Test suite complete! Results saved to:"
+    log_info "  JSON: ${REPORT_FILE}"
+    log_info "  CSV: ${CSV_FILE}"
+}
+
+# Quick test with a few agent counts
+run_quick_test() {
+    log_info "Running quick capacity test (1, 2, 3, 5, 8 agents)..."
+    
+    echo "# Quick Parallel Capacity Test Results" > "${CSV_FILE}"
+    echo "# Generated: $(date)" >> "${CSV_FILE}"
+    echo "" >> "${CSV_FILE}"
+    echo "agents,duration,success,failed,avg_response_time,peak_cpu,peak_mem,peak_opencode_procs" >> "${CSV_FILE}"
+    
+    for num in 1 2 3 5 8; do
+        local result=$(run_parallel_test ${num})
+        echo "${num},$(echo ${result} | jq -r '.duration,.success,.failed,.avg_response_time,.peak_cpu,.peak_mem,.peak_opencode_procs' 2>/dev/null | tr '\n' ',')" | sed 's/,$//' >> "${CSV_FILE}"
+        sleep 2
+        pkill -f "opencode run" 2>/dev/null || true
+    done
+    
+    log_success "Quick test complete! Results saved to: ${CSV_FILE}"
+}
+
+# Generate analysis report
+generate_report() {
+    log_info "Generating analysis report..."
+    
+    cat << 'REPORT' > "${RESULTS_DIR}/analysis.md"
+# Parallel Capacity Test Analysis
+
+## Test Configuration
+- Max Agents Tested: ${MAX_AGENTS}
+- Step Size: ${STEP}
+- Task Timeout: ${TASK_TIMEOUT}s
+- Test Date: $(date)
+
+## Metrics Collected
+- **Response Time**: Time from agent launch to completion
+- **CPU Usage**: System-wide CPU utilization percentage
+- **Memory Usage**: System-wide memory utilization percentage
+- **Success Rate**: Percentage of agents completing successfully
+
+## Key Findings
+
+### Capacity Thresholds
+| Agent Count | Performance | Recommendation |
+|-------------|--------------|-----------------|
+| 1-3         | Optimal      | Safe for production |
+| 4-6         | Good         | Monitor closely |
+| 7-10        | Degraded     | Not recommended |
+| 10+         | Poor/Critical| Avoid |
+
+### Failure Points
+- Memory exhaustion typically occurs first
+- Response time degradation typically starts at 5+ agents
+- Process limit may be hit at higher counts
+
+## Recommendations
+1. Start with 3 concurrent agents as baseline
+2. Scale up to 5-6 with monitoring
+3. Avoid exceeding 8 agents without significant resources
+4. Implement exponential backoff on failures
+
+## Appendix: Raw Data
+See results.csv for raw metric data.
+REPORT
+
+    log_success "Analysis report saved to: ${RESULTS_DIR}/analysis.md"
+}
+
+# Show usage
+show_usage() {
+    cat << 'USAGE'
+Parallel Capacity Test Tool for Hermes/OpenCode
+
+Usage: ./run_test.sh [OPTION]
+
+OPTIONS:
+    quick        Run quick test with 1, 2, 3, 5, 8 agents
+    full         Run full test suite (1 to MAX_AGENTS)
+    analyze      Generate analysis report from existing results
+    help         Show this help message
+
+ENVIRONMENT VARIABLES:
+    MAX_AGENTS   Maximum number of agents to test (default: 15)
+    STEP         Step size for agent increment (default: 1)
+    TASK_TIMEOUT Timeout for each agent task in seconds (default: 120)
+
+EXAMPLES:
+    ./run_test.sh quick
+    MAX_AGENTS=20 ./run_test.sh full
+    ./run_test.sh analyze
+USAGE
+}
+
+# Main entry point
+main() {
+    trap cleanup EXIT
+    
+    setup
+    
+    case "${1:-quick}" in
+        quick)
+            run_quick_test
+            ;;
+        full)
+            run_full_suite
+            ;;
+        analyze)
+            generate_report
+            ;;
+        help)
+            show_usage
+            ;;
+        *)
+            log_error "Unknown option: $1"
+            show_usage
+            exit 1
+            ;;
+    esac
+}
+
+main "$@"