Recursive Language Models — 2 Technical Articles

Jan 10, 2026 · Artificial Intelligence

How Monadic Context Engineering Transforms AI Agent Reliability and Scaling

This article examines recent research on Monadic Context Engineering and Recursive Language Models, explaining how monadic abstractions can improve error handling, state management, and parallel execution in AI agents, and how REPL‑based recursive language models address long‑context limitations through divide‑and‑conquer and token‑as‑instruction techniques.

AI agentsContext EngineeringFunctional Programming

0 likes · 15 min read

How Monadic Context Engineering Transforms AI Agent Reliability and Scaling

PaperAgent

Jan 6, 2026 · Artificial Intelligence

How Recursive Language Models Enable Unlimited Context for LLMs

Recursive Language Models (RLM) offer a cost‑effective alternative to expanding LLM context windows by storing prompts as variables and enabling recursive calls, allowing models to process over 100,000 tokens, with experiments showing superior performance and lower median costs compared to baseline approaches.

AI researchLLM scalingLong-context

0 likes · 5 min read

How Recursive Language Models Enable Unlimited Context for LLMs