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@ -30,13 +30,15 @@ For a new development paradigmn: **Build LLM Apps by Chatting with LLM agents, N
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**Compared to other frameworks**, Pocket Flow is *purpose-built for LLM Agents* (e.g., Cursor AI):
**How does Pocket Flow compare to other frameworks?** Pocket Flow is *purpose-built for LLM Agents* (e.g., Cursor AI):
1. **🫠 LangChain-like frameworks** overwhelm Cursor AI with *complex and outdated* abstractions.
2. 😐 **Without a framework**, code is *ad hoc*—suitable only for immediate tasks, *not modular or maintainable*.
3. **🥰 With Pocket Flow**: (1) Minimal and expressive—easy for Cursor AI to pick up. (2) *Nodes and Flows* keep everything *modular*. (3) A *Shared Store* decouples your data structure from compute logic.
In short, the **100 lines** ensures LLM Agents follows *solid coding practices* without sacrificing *flexibility*. To start:
In short, the **100 lines** ensures LLM Agents follows *solid coding practices* without sacrificing *flexibility*.
**How to set up Pocket Flow for LLM agents?**
- **For quick questions**: Use the [GPT assistant](https://chatgpt.com/g/g-677464af36588191b9eba4901946557b-pocket-flow-assistant) (note: it uses older models not ideal for coding).
- **For one-time LLM task**: Create a [ChatGPT](https://help.openai.com/en/articles/10169521-using-projects-in-chatgpt) or [Claude](https://www.anthropic.com/news/projects) project; upload the [docs](docs) to project knowledge.