AI Agent Framework difference step by step

LLM framework difference:

 1.      LangGraph
- Framework for building multi-agent workflows with LLMs using graph structures.
Pros: Highly customizable.
Cons: Requires coding skills, less plug-and-play.

2. Google ADK
- Agent Development Kit to build reasoning-capable AI agents with cloud-scale tools and utilities.
Pros: Strong integration with multiple Cloud services.
Cons: Wide range of choices.

3. OpenAI Agent SDK
- Tools for creating agents on OpenAI's platform with built-in support for GPT models.
Pros: Seamless with GPT models, easy to prototype.
Cons: Closed ecosystem.

4. LlamaIndex
- Framework for connecting LLMs to custom data sources with agent-like behavior.
Pros: Great for retrieval-augmented generation, flexible.
Cons: Needs developer setup, less out-of-the-box agent tools.

5. AWS Agent Squad
- Managed service for deploying collaborative agent systems on AWS.
Pros: Scalable, integrates with AWS services.
Cons: AWS lock-in, pricing complexity.

6. CrewAI
- Framework for assigning roles to multiple agents to work as a team.
Pros: Role-based design simplifies multi-agent coordination.
Cons: Less customization for Retrieval tasks.

7. IBM Bee
- IBM’s agent framework for Multiple process automation with LLMs.
Pros: Enterprise-grade security, strong automation focus, and Linux open-source community support.
Cons: Steeper learning curve.

8. Autogen
- Microsoft-supported open-source library for customizable multi-agent systems.
Pros: Open-source, supports advanced workflows.
Cons: Requires programming knowledge, evolving features.

When to use these AI Agent Frameworks?

Let me break that down as well:

1. LangGraph – For flow-controlled multi-agent workflows
2. Google ADK – For building cloud-based multi-agent systems with a wide range of utilities.
3. OpenAI SDK – For fast GPT-based tool-using agents
4. LlamaIndex – For retrieval agents on top of custom data
5. AWS Agent Squad – For scalable AWS-native agent systems
6. CrewAI – For teamwork-style, role-based agents
7. IBM Bee – For secure business process automation
8. Autogen – For highly flexible enterprise multi-agent systems