The LangGraph ecosystem today centers on four fronts: graph-based agent design, state management, persistence and checkpointing, and human-in-the-loop. These LangGraph experts collectively cover all of them.
| Avatar | Name | GitHub | Notable Contributions† |
|---|---|---|---|
 |
bsorrentino | @bsorrentino | langgraph4j contributor |
 |
Mayo Oshin | @mayooear | Maintains ai-pdf-chatbot-langchain |
 |
Henry Krupp | @doobidoo | mcp-memory-service contributor |
 |
Nuno Campos | @nfcampos | langgraph contributor |
 |
David Duong | @dqbd | langgraphjs contributor |
 |
阿东玩AI | @adongwanai | Maintains AgentGuide |
 |
William FH | @hinthornw | langgraph contributor |
 |
Vadym Barda | @vbarda | langgraph contributor |
 |
AiAdventurer | @apconw | Aix-DB contributor |
 |
Joshua Carroll | @JoshuaC215 | Maintains agent-service-toolkit |
 |
Giovanni Pasqualino | @GiovanniPasq | Maintains agentic-rag-for-dummies |
 |
Eugene Yurtsev | @eyurtsev | langgraph contributor |
 |
Pradip Nichite | @PradipNichite | Freelance LangGraph developer |
† A curated list and not a ranking; order is not significant.
Together, these LangGraph experts shape the project's roadmap and surrounding ecosystem.
AI & Machine Learning: ChatGPT · Computer Vision · OpenCV · Claude
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