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.

langchain
85
Verified
rlm-langgraph
35
Emerging
Maintenance 22/25
Adoption 15/25
Maturity 25/25
Community 23/25
Maintenance 10/25
Adoption 2/25
Maturity 11/25
Community 12/25
Stars: 129,354
Forks: 21,296
Downloads:
Commits (30d): 208
Language: Python
License: MIT
Stars: 2
Forks: 1
Downloads:
Commits (30d): 0
Language: Python
License: MIT
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About langchain

langchain-ai/langchain

The agent engineering platform

This is an agent engineering platform that helps developers build powerful applications powered by large language models (LLMs). It provides tools to connect LLMs to various data sources, external systems, and other models, allowing for complex AI workflows. Developers use it to quickly prototype, integrate, and deploy sophisticated AI agents and LLM-driven applications.

AI-application-development LLM-integration agent-framework software-engineering machine-learning-ops

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.

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