When building AI agents, choosing the right orchestration framework is one of the most consequential architectural decisions you'll make. The three dominant options—LangChain, OpenAI's AgentKit (Assistants API), and Google ADK (Agent Development Kit)—each take fundamentally different approaches to agent development.
Architecture Philosophy
LangChain: Composable Chain Architecture
LangChain treats workflows as composable chains with explicit control flow, transparent data flow, and full local execution control.
OpenAI AgentKit: Managed Assistant Architecture
OpenAI provides managed agents with built-in orchestration, automatic state persistence, and cloud-hosted execution.
Google ADK: Multi-Modal Cloud-Native Architecture
Google ADK offers enterprise-grade, multi-modal agents with native Google Cloud integration and compliance features.
When to Choose Each Framework
Choose LangChain when you need maximum flexibility, local execution, and full control over agent behavior.
Choose OpenAI AgentKit when you want fast deployment with minimal infrastructure and are building conversational assistants.
Choose Google ADK when you need enterprise compliance, multi-modal processing, and Google Cloud integration.
Related Reading
- Google ADK: Enterprise-Ready Multi-Modal Agents - Deep dive into Google's agent framework
- RAG Pipelines for Context-Aware Agents - Implementing retrieval systems across frameworks
- Visual Agent Builders Comparison - No-code and low-code alternatives