langgraph and rlm-langgraph

LangGraph is the foundational framework that B builds upon—B is a specialized production agent implementation that extends LangGraph's core graph-based orchestration with additional features like recursive LLM calls and persistent checkpointed memory.

langgraph
86
Verified
rlm-langgraph
35
Emerging
Maintenance 22/25
Adoption 15/25
Maturity 25/25
Community 24/25
Maintenance 10/25
Adoption 2/25
Maturity 11/25
Community 12/25
Stars: 26,286
Forks: 4,544
Downloads:
Commits (30d): 130
Language: Python
License: MIT
Stars: 2
Forks: 1
Downloads:
Commits (30d): 0
Language: Python
License: MIT
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About langgraph

langchain-ai/langgraph

Build resilient language agents as graphs.

This tool helps developers create sophisticated, long-running AI assistants that can remember past interactions and handle complex, multi-step tasks. It takes raw code logic and structured data, producing robust AI agents capable of sustained operation and intelligent decision-making. Developers and AI engineers will use this to build advanced conversational agents, automated workflows, or intelligent systems.

AI Agent Development Conversational AI Automated Workflows Intelligent Systems Machine Learning Engineering

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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