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The same six axes across every evaluated framework. Read the columns, not just the total — two frameworks can land three points apart and be built for opposite jobs.

Architecture axis scores by framework, each out of 4
AxisWeightPydantic AILangGraphOpenAI Agents SDKCrewAI
Control flow & multi-agent compositionSequences, routers, graphs, parallel work, loops, handoffs, and whether control is deterministic or model-routed.20%3/44/43/43/4
State, memory & durabilityTyped state, session vs long-term memory, checkpoints, persistence, resume/restart, retry, and idempotency semantics.20%4/44/43/44/4
Tools, integrations & interoperabilityTyped tool contracts, structured output, streaming, provider/plugin adapters, and native or official protocol support.15%4/43/44/43/4
Reliability, safety & human controlsTimeouts, retries, cancellation, guardrail enforcement, permissions, isolation, approvals, interrupts, and secret boundaries.15%4/44/44/43/4
Observability & evaluationRun/trace identity, model/tool/handoff events, logs, metrics, cost visibility, replay, evals, and test fixtures.15%4/43/44/43/4
Developer experience, portability & maintainabilityClean install, canonical quickstart, public API/types, supported runtimes, deployment path, versioning, and migrations.15%4/43/43/43/4
Architecture score100%95898680

Highlighted cells mark the leading score on that axis. A score of 4 requires evidence of failure, recovery or enforcement behaviour — not just that a feature exists.