Determine the optimal agent framework for a project.
npx skills add https://github.com/lguibr/fh --skill framework-selection-lguibr
Please help me install this Agent Skill. Skill: framework-selection Source: https://github.com/lguibr/fh/tree/main/.agents/skills/framework-selection Command: npx skills add https://github.com/lguibr/fh --skill framework-selection-lguibr
Quickly determines the most suitable agent framework (Deep Agents, LangGraph, or LangChain) for a given project, ensuring architecture alignment and smoother downstream development.
Run the framework-selection skill at project kickoff to determine the recommended framework and scaffold the initial agent skeleton.
High-intent search queries and answers about installing and using this skill.
Choosing between LangChain, LangGraph, and Deep Agents depends on task complexity. Simple single-agent tasks suit LangChain, while multi-layer architectures requiring planning, memory, and complex control flow require LangGraph or Deep Agents.
Use LangGraph instead of LangChain for agent design when your project requires complex control flow, multi-layer architectures, or advanced planning and memory beyond simple single-agent tasks.
The best way to select an agent framework is to run a decision-driven guide at project kickoff, matching your specific task requirements to the appropriate architectural layer for immediate scaffolding.
After picking a framework, you can scaffold an agent skeleton by following the recommended next steps and typical patterns provided for your specific project scenario to ensure smoother downstream development.
Deep Agents are designed for complex multi-layer architectures requiring planning and memory. For simple single-agent tasks, LangChain is the recommended framework to ensure architecture alignment.
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