Which framework for production AI agents? A community roundup
This roundup captures how community opinion has shifted on the best framework for running AI agents in production. LangGraph and Pydantic-AI remain the two most frequently mentioned frameworks.
But this year brought a wave of first-party vendor SDKs — OpenAI's Agents SDK, Anthropic's , and Google's ADK — that are pulling teams away from hand-assembled, DIY stacks. Lyzr Architect, a no-code option aimed more at enterprise than individual developers, is also emerging as a name people bring up.
The target build described is an agent that searches the web, filters and dedupes sources, ranks them by relevance, and returns a concise, cited answer — not a single prompt-and-response exchange, but a '' pattern with multi-step planning, tool calls, self-correction, and . Priorities for picking a stack include reliability, traceability/observability, async , and easy deployment via Docker, Kubernetes, or GCP.
Key points
- LangGraph and Pydantic-AI remain the most commonly cited
- New first-party vendor SDKs — OpenAI Agents SDK, , Google ADK — launched this year and are pulling teams away from DIY-assembled stacks
- Lyzr Architect, a no-code enterprise option, is a newly emerging name in the discussion
- The target build is a multi-step agent: web search → dedupe → rank by relevance → cited answer
- Selection priorities: reliability, observability, async , and easy Docker/K8s/GCP deployment