Select LangChain, LangGraph, or Deep Agents for AI-agent tasks.
npx skills add https://github.com/JoaquinCampo/Skills --skill langchain-ecosystem
Please help me install this Agent Skill. Skill: langchain-ecosystem Source: https://github.com/JoaquinCampo/Skills/tree/main/langchain-ecosystem Command: npx skills add https://github.com/JoaquinCampo/Skills --skill langchain-ecosystem
This guide helps teams navigate LangChain's layered ecosystem (LangChain, LangGraph, and Deep Agents) to design scalable AI agents, orchestrations, and memory strategies, enabling effective framework selection and cross-layer integration.
Decide the LangChain ecosystem layer for a given task and outline a starter project structure.
High-intent search queries and answers about installing and using this skill.
Choose LangChain for standard chain interactions and tooling, while LangGraph manages complex agent orchestration with stateful cycles. This guide clarifies framework selection across ecosystem layers to match your specific AI-agent task scale.
Mixing LangChain and LangGraph layers involves mapping LangChain components into LangGraph state nodes for orchestration. This Skill provides project setup patterns to integrate cross-layer functionality, combining standard tooling with stateful agent workflows.
Implementing human-in-the-loop with LangGraph requires interrupting graph execution to await human input before proceeding. This Skill outlines practical HITL patterns, integrating persistence and memory strategies to pause and resume agent workflows effectively.
Deep Agents support subagent delegation and long-term memory by utilizing on-demand skill loading and persistence. This guide covers how to structure deep agent workflows, enabling scalable memory and filesystem-like tooling across the ecosystem.
Structuring a LangChain project for RAG and persistence requires defining appropriate framework layers for retrieval and state storage. This Skill guides starter project setup, offering best practices for combining RAG, memory, and persistence in production.
ComposioHQBuild LangChain agents with Composio Tool Router in TypeScript and Python.
Sameeh07Configure LangGraph checkpointers and stores for state persistence.
NicolasHoyosDevssBuild RAG systems integrating vector databases, embedding models, and retrieval strategies.
nextplus896Guide API style selection with decision trees for REST, GraphQL, and tRPC.
