# Recursive Language Models

An inference library for Recursive Language Models, a task-agnostic paradigm that lets a language model programmatically examine, decompose and recursively call itself over near-infinite-length contexts.

Recursive Language Models replace a plain `llm.completion(prompt, model)` call with `rlm.completion(prompt, model)`, offloading the input context as a variable inside a REPL environment that the model can inspect and call itself over. The repository provides both an inference engine and a training environment for standard API-based and local LLMs.

The approach argues for a CodeAct-style harness in which sub-language-model calls are functions in code and prompts are objects in code, moving away from JSON tool-calling for sub-agents and generic tool calls. The default client runs its REPL through Python `exec` calls on the host process, sharing the host's virtual environment and dependencies with some limits on available global modules; a verifiers training environment based on Prime Intellect's prime-rl is also included.

It installs with `pip install rlms`, requires Python 3.11 or later, is written in Python, and is licensed under MIT.

Website: https://arxiv.org/abs/2512.24601