langchain and rlm-langgraph
LangGraph is a core orchestration framework within LangChain that enables stateful agent workflows, while the RLM agent is a specialized implementation built on top of LangGraph's StateGraph primitives—making them complements in a hierarchical stack rather than alternatives.
About langchain
langchain-ai/langchain
The agent engineering platform
Provides unified abstractions for LLM models, embeddings, vector stores, and retrieval tools across 100+ provider integrations, enabling seamless model swapping and real-time data augmentation. Built on a modular, component-based architecture that supports chains and orchestration patterns, with optional integration to LangGraph for complex agentic workflows and LangSmith for observability and evals.
About rlm-langgraph
SRV-YouSoRandom/rlm-langgraph
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.
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work