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Resource Footprint

Mass parallelism only pays off if a single agent is cheap enough to multiply. To measure that, we ran the same 20 tasks in parallel through Ante, Claude Code, and Opencode, each inside Docker with identical constraints, and recorded CPU, memory, and disk usage throughout the run.

Headline result: Ante uses ~7× less peak memory, ~9× less average CPU, and ~5× less disk I/O than Claude Code on the same workload.

Resource usage comparison across 20 parallel tasks

The full measurements are below.

Overview

AgentWall Time (s)
Ante940
Claude627
Opencode1076

CPU Usage (%)

AgentPeakAvgP95P99
Ante94.41.36.212.3
Claude89.512.131.043.4
Opencode90.83.827.162.3

Memory Usage (MiB)

AgentPeakAvgP95P99
Ante196868314891550
Claude13877368589279535
Opencode1294420771126612852

Disk Usage (MiB)

AgentPeakAvgP95P99
Ante7041312169756976
Claude2246743041012810193
Opencode5968960462910834744

Disk Read Rate (MB/s)

AgentPeakP95P99
Ante3.50.00.1
Claude263.910.4101.9
Opencode284.10.110.6

Disk Write Rate (MB/s)

AgentPeakP95P99
Ante186.33.661.7
Claude302.326.6113.0
Opencode302.914.5296.6

Total Disk I/O (MB)

AgentTotal ReadTotal Write
Ante242785
Claude1744415116
Opencode222431427