# LangGraph (by LangChain)
> LangGraph is a library designed for building stateful, multi-agent applications with LLMs, built on top of LangChain. It enables the creation of complex workflows involving cycles and persistence, which are critical for sophisticated agentic behavior.
- URL: https://optimly.ai/brand/langchain-langgraph-project
- Slug: langchain-langgraph-project
- BAI Score: 62/100
- Archetype: Challenger
- Category: Software Development Tools
- Last Analyzed: April 11, 2026
## Competitors
- Crewai (https://optimly.ai/brand/crewai)
- Microsoft AutoGen (https://optimly.ai/brand/microsoft-autogen)
## Also Referenced By
- OpenAI Assistants API (https://optimly.ai/brand/openai-assistants-api)
## Buyer Intent Signals
Problems: Custom Hardcoded Logic: Manually managing state and transitions using complex nested loops and if/else blocks in standard Python/TypeScript. | Do Nothing / Stateless Scripting: Staying with basic prompt-response patterns without persistent state or multi-agent collaboration.
Solutions: framework for stateful multi-agent workflows | how to add loops to langchain | best way to build an AI agent that can pause for human approval | enterprise grade ai workflow orchestration | Linear Chaining Tools: Using simpler, linear chains for tasks that actually require cycles, leading to poor error recovery.
Comparisons: langgraph vs autogen