RLM - Recursive Language Model

RLM is an inference-time scaling strategy that enables LLMs to handle arbitrarily long contexts by treating prompts as external objects that can be programmatically examined and recursively processed.

• License: MIT
• Repository: https://github.com/XiaoConstantine/rlm-go

When to Use

Use rlm instead of direct LLM calls when:

• Processing large contexts (>50KB of text)
• Token efficiency is important (40% savings on large contexts)
• The task requires iterative exploration of data
• Complex analysis that benefits from sub-queries

Do NOT Use When