Choosing the right agentic AI framework matters. Crew AI, Google ADK, LangGraph, and OpenAI Agents SDK each solve different problems, from rapid multi-agent prototyping to durable, stateful workflows and cloud-native enterprise agentic AI deployments.
This comprehensive white paper examines the best and most popular agentic AI frameworks through the lens of production readiness, comparing tools and MCP servers, memory architecture, human-in-the-loop (HITL) support, guardrails integration, workflow orchestration models, and agent abstraction levels.
Download the full white paper to access detailed implementation examples, architecture diagrams, and feature-by-feature breakdowns across reasoning patterns from Chain-of-Thought to Graph-of-Thoughts and multi-agent collaboration.
For further reading, check out our recommendations on agentic AI platforms to handle enterprise-grade workflow orchestration, cost controls, and durability at scale.
Top agentic AI frameworks: Quick comparison and key features
| Framework | Best for | Control flow | Memory | HITL support |
| Crew AI | Multi-agent collaboration with role-based delegation | Abstract, automated | Shared crew-level (short/long-term) | Simple pause-feedback |
| Google ADK | Enterprise Google Cloud applications | Compositional (Sequential/Parallel/ Loop) | Managed (Vertex AI services) | Tool-level confirmation |
| LangGraph | Complex stateful workflows with durability | Custom graph-based | Persistent checkpointing | Interrupt-and-resume |
| OpenAI SDK | Code-first Python projects with lean abstractions | Python native (asyncio) | Session context objects | Custom implementation |
The analysis covers six foundational capabilities that define production-ready agentic AI systems: tool integration, memory management, human-in-the-loop checkpoints, automated guardrails, orchestration patterns, and agent reasoning abstractions.
Download the complete comparison for in-depth details on implementation patterns, performance considerations, deployment architectures, and agentic AI framework selection criteria aligned to your production requirements.
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