Argus Report
S

Swarmlet

Python Beta

Multi-agent swarm coordination framework

GitHub
Low Security

3.2K

Stars

v0.8.0

Latest

~200MB

RAM

~4s

Startup

Composite Score

Argus Report scoring across six dimensions (1-10 scale)

3

Performance

#14 of 15

9

Features

#2 of 15

3

Security

#14 of 15

7

Momentum

#8 of 15

3

Cost Efficiency

#14 of 15

6

Dev Experience

#10 of 15

Cold Start Performance

Time from process launch to first response

Cold start
~4s #12
Warm response
~45ms

Memory Usage

Peak RSS during standard workload

Idle RSS
~200MB
Active RSS (10 tools)
2.1GB
Peak (stress test)
3.4GB

Token Efficiency

Tokens consumed per equivalent task completion

Simple Q&A
~280
Multi-step task
~1200
Tool calling
~220

Methodology

Benchmarks are run weekly on standardized hardware (AWS c7g.xlarge, 4 vCPU, 8GB RAM, Ubuntu 24.04). Token efficiency is measured using equivalent prompts across Claude 4.5 Sonnet. All results are averages of 10 runs with cold cache. Last updated: Feb 17, 2026.