Engineering Notes
Thoughts and Ideas on AI by Muthukrishnan
Tag: Langgraph
Receding Horizon Planning and Plan Commitment in Agent Reasoning Loops
How agents manage the tradeoff between committing to a plan and staying responsive to new information using receding horizon planningDependency Aware Task Scheduling How Agents Execute Plans as Parallel DAGs
How agents represent plans as dependency graphs and execute independent tasks in parallel for better performance and fault toleranceWorking Memory Compression and Context Distillation in Long Horizon Agents
How long-running agents compress, distill, and selectively retain working memory to operate effectively within finite context windowsConceptual AI Agents Universe — System Design Document
A plugin-based platform architecture where each AI agent system is an independently subscribable capability. One interface, one orchestrator, unlimited agents — added without touching existing code.Building an Agentic RAG Pipeline with LangGraph
Move beyond naive RAG with an agentic approach that uses LLMs to decide what to retrieve, when to retry, and how to synthesize answers.CrewAI vs LangGraph Building the Same Multi-Agent System in Both
A side-by-side comparison of CrewAI and LangGraph by implementing the same research assistant workflow in both frameworks.Building a Multi-Agent Debate System with LangGraph
## Introduction Multi-agent systems are a fascinating area of AI development, where multiple autonomous agents collabo...Building Stateful AI Systems with LangGraph and Agentic Workflow Graphs
Learn how to build complex, stateful AI agent systems using graph-based architectures with LangGraph—a paradigm shift from linear chains to cyclic, controllable workflows.Prompt Chaining and Workflow Orchestration for Reliable Multi-Step Agents
When you ask an AI to perform a complex task like "analyze this dataset and create a comprehensive report with visualiz...