jorcan Loki Mode Benchmark Results
Generated: 2026-01-05 01:10:21
Overview
This directory contains benchmark results for Loki Mode multi-agent system.
HumanEval Results
| Metric | Value |
|---|---|
| Problems | 164 |
| Passed | 161 |
| Failed | 3 |
| Pass Rate | 98.17% |
| Model | opus |
| Time | 1263.46s |
Competitor Comparison
| System | Pass@1 |
|---|---|
| MetaGPT | 85.9-87.7% |
| Loki Mode | 98.17% |
Methodology
Loki Mode uses its multi-agent architecture to solve each problem:
- Architect Agent analyzes the problem
- Engineer Agent implements the solution
- QA Agent validates with test cases
- Review Agent checks code quality
This mirrors real-world software development more accurately than single-agent approaches.
Running Benchmarks
# Setup only (download datasets)
./benchmarks/run-benchmarks.sh all
# Execute with Claude
./benchmarks/run-benchmarks.sh humaneval --execute
./benchmarks/run-benchmarks.sh humaneval --execute --limit 10 # First 10 only
./benchmarks/run-benchmarks.sh swebench --execute --limit 5 # First 5 only
# Use different model
./benchmarks/run-benchmarks.sh humaneval --execute --model opus