AI Agent Stack Adoption
Real framework adoption data across 1871 verified agencies. Updated continuously as new agencies are added.
2025 Industry Adoption Trends
Market-wide framework data as of early 2025, compiled from npm download statistics, GitHub activity, and agency survey data. Updated quarterly.
Framework Adoption — Indexed Agencies
Use Case Distribution
Key Insights
LangGraph adoption surged 890% year-over-year, driven by production teams demanding stateful, cyclical workflows that simpler chain-based frameworks cannot support. It is now the fastest-growing framework by relative growth rate.
CrewAI's 340% YoY growth pushed it past AutoGen for the second spot among multi-agent orchestration frameworks. Its opinionated role-based API lowered the barrier for teams new to agentic patterns.
n8n grew 65% YoY and is the top choice for self-hosted workflow automation, reflecting strong demand from operations and RevOps teams that want agent power without deep Python expertise.
LangChain remains the dominant framework by absolute adoption share, used by 62% of indexed agencies. However, its YoY growth has normalised to 18% as specialised frameworks capture incremental demand.