Breaking the Context Ceiling: Implementing Recursive Language Models with LangGraph and TypeScript
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Shows how to implement Recursive Language Models (RLMs) in TypeScript and Node.js using LangGraph: build a root agent that spawns recursive sub-agents to operate on focused context slices, use LangGraph’s cyclic graph execution to create child agents and aggregate their outputs into a shared state, and have the orchestrator synthesize final results. Covers managing state and tool execution across agent hierarchies, architecting recursive agent graphs in LangGraph, and discusses cost and latency tradeoffs for processing massive documents, codebases, or datasets without expanding individual LLM context windows.
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