---
title: "Recursive Language Models: An All-in-One Deep Dive"
url: https://daily.dev/posts/recursive-language-models-an-all-in-one-deep-dive-bx3jpqplg
source_url: https://towardsdatascience.com/recursive-language-models-one-example-deep-dive-that-explains-everything
type: article
source: "Towards Data Science"
published: 2026-05-16T13:12:02.517Z
updated: 2026-05-16T13:12:29.331Z
tags: ["python", "ai-agents"]
reading_time: 32
upvotes: 2
comments: 0
language: en
---

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# Recursive Language Models: An All-in-One Deep Dive

**[Towards Data Science](https://daily.dev/sources/tds)** · 32 min read · 2 upvotes · 0 comments

## Summary

Recursive Language Models (RLMs) are a scaffolding architecture that fundamentally differs from ReAct, CodeAct, and vanilla subagent patterns. Instead of loading the full user prompt into the LLM's context window, RLMs give the model access to a persistent Python REPL where the prompt lives as a variable. The LLM deliberately reads slices of context, writes code to transform data, and recursively invokes subagents via llm_query(). Crucially, subagent outputs are returned as Python variables in the REPL rather than being auto-loaded into the parent's context window, enabling composable answers without token-by-token regeneration. This approach enables arbitrarily long outputs, focused attention on relevant context sections, parallel subagent execution, and significant cost savings through KV cache reuse. The article walks through a concrete toy problem (counting letter 'r' in fruit/country/animal names) to illustrate how each architecture handles it, culminating in how RLMs solve it elegantly through recursive composition.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://towardsdatascience.com/recursive-language-models-one-example-deep-dive-that-explains-everything>

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---

Tags: [#python](https://daily.dev/tags/python), [#ai-agents](https://daily.dev/tags/ai-agents)

[View this post on daily.dev](https://daily.dev/posts/recursive-language-models-an-all-in-one-deep-dive-bx3jpqplg)