# 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
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## Full Details / RAG Data
### Overview
LangGraph (by LangChain) is listed in the AI Directory.
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.
### Metadata
| Field        | Value |
|--------------|-------|
| Name         | LangGraph (by LangChain) |
| Slug         | langchain-langgraph-project |
| URL          | https://optimly.ai/brand/langchain-langgraph-project |
| BAI Score    | 62/100 |
| Archetype    | Challenger |
| Category     | Software Development Tools |
| Last Analyzed | April 11, 2026 |
| Last Updated | 2026-04-13T04:53:02.582Z |
### Verified Facts
- Founded: 2024
- Headquarters: San Francisco, CA
### Competitors
| Name | Profile |
|------|---------|
| 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 this brand solves
- 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.
#### Buyers search for
- 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.
#### Buyers compare
- langgraph vs autogen
### Links
- Canonical page: https://optimly.ai/brand/langchain-langgraph-project
- JSON endpoint: /brand/langchain-langgraph-project.json
- LLMs.txt: /brand/langchain-langgraph-project/llms.txt