Learning LangGraph : A Journey Through Agents, Blackboards, and Bottlenecks
Summary
An educational article exploring LangGraph, covering agent architectures, the blackboard pattern, and common bottlenecks in building agent systems.
Similar Articles
Are LangGraph agents and other agent frameworks becoming obsolete?
The author reflects on building many LangGraph agents and questions their necessity with new generative models, advocating for simpler single-agent solutions with MCP tools and controlled endpoints over complex predefined frameworks.
@DanKornas: Agent tutorials are noisy. This repo gives you the path. LangGraph 101 is a hands-on tutorial repo for learning LangCha…
LangGraph 101 is an open-source tutorial repo for learning LangChain, LangGraph, and Deep Agents through notebooks and runnable agent examples, organized into fundamental and production-patterns tracks.
LangGraph, CrewAI, or raw A2A - this is what I learned actually running multi-agent orchestration in production and not in a notebook
The author shares practical lessons learned from deploying multi-agent orchestration frameworks (LangGraph, CrewAI, and A2A) in production, contrasting with simple notebook experiments.
I'm increasingly convinced LangGraph beats Claude Plugins
The author shares their experience building a Claude Plugin for stock valuation, finding it increasingly difficult to handle errors and complexity. They are now considering switching to LangGraph as a more reliable solution for multi-step agent workflows.
Simple Multi-Agent Architecture Running Across Our Entire Org. Keeping everything in Loop.
This article describes a multi-agent architecture running at scale, using LangGraph, CrewAI, and Harbor to handle goal agents, task coordination, and secure access with tracing.