Framework Benchmarks

SwarmAI evaluates itself using its own agent orchestration capabilities. The Framework Value Score tracks quality across releases.

100
Framework Value Score
Release Gate: PASSED
100%Pass Rate
15/15Scenarios Passed
1.0.28Version

Category Breakdown

100
Core Capabilities
Weight: 25% | 6 scenarios
100
Enterprise Readiness
Weight: 20% | 3 scenarios
100
Resilience
Weight: 15% | 3 scenarios
100
DSL & Configuration
Weight: 15% | 3 scenarios

Competitive Comparison

Feature comparison against major multi-agent frameworks

FrameworkLanguageGovernanceBudget TrackingMulti-TenantYAML DSLBuilt-in Tools
SwarmAIJavaYesYesYesYes74
LangGraphPythonNoNoNoNo0
CrewAIPythonNoNoNoYes10
AutoGenPythonNoNoNoNo0
Semantic KernelJava/.NETNoNoNoNo5

Scenario Results

CategoryScenarioScoreStatus
COREAgent Builder Validation100PASS
CORETask Builder with Dependencies100PASS
COREMemory Store/Retrieve100PASS
COREObservabilityContext Thread Propagation100PASS
COREBudget Tracking100PASS
CORETyped Exception Hierarchy100PASS
ENTERPRISETenant Context Isolation100PASS
ENTERPRISESPI Default Implementations100PASS
ENTERPRISEGovernance Model100PASS
RESILIENCECircuit Breaker Initialization100PASS
RESILIENCEHealth Indicators100PASS
RESILIENCEConfiguration Validator100PASS
DSLYAML Parser Available100PASS
DSLSwarm Compiler Available100PASS
DSLAll 7 Process Types100PASS

Methodology

The Framework Value Score is computed by the swarmai-eval module, which runs 15 automated scenarios across 4 categories. Each scenario exercises a specific framework capability end-to-end and scores it on a 0-100 rubric.

Category weights: Core (25%), Orchestration (25%), Enterprise (20%), Resilience (15%), DSL (15%). A score ≥ 70 is required to pass the release gate. Regressions > 5 points trigger automatic alerts.

The eval swarm runs nightly on the main branch and on every release tag. Results are stored in eval-results/history.json and published here automatically.