# LangGraph classification for agent discovery on HF Spaces - input needed **URL:** \ **Category:** Talking Shop\ **Created:** [October 6, 2025, 12:38pm UTC](https://forum.langchain.com/t/langgraph-classification-for-agent-discovery-on-hf-spaces-input-needed/1757 "2025-10-06T12:38:48Z")\ **Posts on this page:** 1\ **Page:** 1
**Author:** ![ArchieCur](https://yyz1.discourse-cdn.com/flex007/user_avatar/forum.langchain.com/archiecur/32/1177_2.png) [@ArchieCur](https://forum.langchain.com/u/ArchieCur)\ **Post date:** [October 6, 2025, 12:38pm UTC](https://forum.langchain.com/t/langgraph-classification-for-agent-discovery-on-hf-spaces-input-needed/1757/1 "2025-10-06T12:38:48Z")
Hi LangGraph community, I’m building a discovery tool for AI agents and frameworks on **HuggingFace Spaces** , and I classified LangGraph as follows: **A2-B2/B3-C2-D1-E2** • Multi-agent orchestration (A2) — though it supports single-agent use cases, I classified multi-agent as the primary pattern • Built-in memory + graph-based reasoning (B2/B3) • HITL with interrupt/resume patterns (C2) • General-purpose orchestration (D1) • LangGraph platform & server deployment (E2) Challenge: LangGraph supports single-agent, multi-agent, **and hierarchical** workflows. I simplified my classification to emphasize multi-agent orchestration (A2) as the dominant trait. Do you think this misrepresents the system’s capabilities — especially for users comparing agent frameworks? Tool: [https://archiecur.github.io/huggingface-agent-classifier](https://archiecur.github.io/huggingface-agent-classifier) I’d deeply appreciate feedback from maintainers and users on whether this classification helps in agent discovery across HuggingFace Spaces. If a more appropriate tag exists in this forum for agent discovery or framework classification, I’d welcome suggestions. #agent-discovery #agent-classification #frameworks-discovery