Implementation of Recursive Language Model (RLM) with LangGraph and Chainlit real time UI visualization.

A LangGraph implementation of **Recursive Language Models (RLMs)** - a general inference strategy that enables LLMs to process arbitrarily long prompts by treating them as part of an external environment.

Production-grade Recursive Language Model (RLM) agent rebuilt on LangGraph, explicit StateGraph, checkpointed memory, sandboxed REPL, recursive sub-LLM calls, and vector search over Qdrant. Evolved from rlm-agent.

Production-grade Recursive Language Model (RLM) agent rebuilt on LangGraph, explicit StateGraph, checkpointed memory, sandboxed REPL, recursive sub-LLM calls, and vector search over Qdrant. Evolved from rlm-agent.

An Autonomous Recursive Language Model (RLM) that plans, researches, and self-corrects. Built with LangGraph, Gemini, and Local CUDA embeddings.

Build and manage recursive language model workflows with a stateful, resumable graph based on LangGraph 1.x for clearer orchestration.

Modular API for a Recurrent Language Model (RLM) with LangGraph, supporting text preprocessing, sequential inference, structured REST responses, and vector store integration for scalable, context-aware, multi-step text generation pipelines.