langgraph and qd-langchain-agents
LangGraph provides the foundational graph-based agent orchestration framework, while QD-LangChain Agents is a research tool that uses evolutionary algorithms to optimize agent architectures built within that framework—making them complements where one enhances the other.
About langgraph
langchain-ai/langgraph
Build resilient language agents as graphs.
Supports durable execution with automatic state persistence across failures, human-in-the-loop interrupts for agent inspection/modification, and comprehensive memory management combining short-term working state with long-term persistence. Built as a low-level orchestration framework inspired by Pregel and Apache Beam, it integrates seamlessly with LangChain ecosystem tools including LangSmith for observability and LangSmith Deployments for production scaling of stateful workflows.
About qd-langchain-agents
FareedKhan-dev/qd-langchain-agents
Evolving LangChain agent architectures using the Quality-Diversity (QD) algorithm.
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