Frameworks, SDKs and runtimes for building, orchestrating and operating agentic AI systems.
Compare concrete tools against the same functional, non-functional, and commercial properties. The matrix presents evidenced differences. Weighting, recommendations, and selection will follow in Decide.
LimitationsImportant limitations and typical pitfalls.
High boilerplate; strict state management is overkill for simple linear flows.12
High abstraction makes internal state hard to debug ('black box').34
Chat histories drive high token consumption; no built-in persistence. Microsoft folded AutoGen into the Microsoft Agent Framework; this card tracks the independent AG2 community fork. Prefer MAF for new Microsoft-aligned work.56
Most mature inside the Google ecosystem; less portable elsewhere.78
License and cost
License and costLicense model and visible operational cost dependencies.
Chat histories drive high token consumption; no built-in persistence. Microsoft folded AutoGen into the Microsoft Agent Framework; this card tracks the independent AG2 community fork. Prefer MAF for new Microsoft-aligned work.56