The State of AI Agent Frameworks in 2025 (devnavigator.com)

A 2025 industry survey shows consolidation in agent frameworks as organizations move from experimentation to production: OpenAI’s Agents SDK leads adoption at 51%, followed by Google’s ADK at 40%, while open-source and specialist projects like LangChain (24%), LangGraph (16%), CrewAI (15%), PydanticAI (10%) and Temporal (7%) occupy important niche roles. The trend reflects a priority shift toward stability, orchestration reliability, and deep platform integration rather than pure flexibility—teams are choosing frameworks that simplify scaling and operational guarantees even if that means tighter coupling to a vendor’s models or cloud. Technically, the market is splitting between first‑party, tightly integrated stacks (OpenAI Agents SDK: production-ready tooling and scaling; Google ADK: modular workflows optimized for Gemini/Google Cloud) and specialist tooling that fills gaps—LangChain for rapid prototyping and chaining, LangGraph for deterministic stateful graph orchestration, CrewAI for role-based multi-agent coordination, PydanticAI for schema-validated structured outputs, and Temporal for durable, long-running workflow semantics. Practical implications: expect vendor lock‑in vs hybrid flexibility tradeoffs, stronger demand for orchestration and retry semantics (often delegated to engines like Temporal), and increased need for engineering expertise to deploy complex, multi-agent or stateful pipelines in production.