AI SummaryLC-StudyLab provides Cursor IDE rules and documentation links for LangChain v1.0, enabling developers to quickly reference core components and advanced features while coding with LangChain's full ecosystem.
Install
Copy this and paste it into Claude Code, Cursor, or any AI assistant:
I want to add the "lc-studylab — Cursor Rules" prompt rules to my project. Repository: https://github.com/leonyangdev/lc-studylab Please read the repo to find the rules/prompt file, then: 1. Download it to the correct location (.cursorrules, .windsurfrules, .github/prompts/, or project root — based on the file type) 2. If there's an existing rules file, merge the new rules in rather than overwriting 3. Confirm what was added
Description
LC-StudyLab 是一个完整演示 LangChain v1.0 全家桶能力的开源项目，整合了 LangGraph、DeepAgents、RAG 检索增强生成、Guardrails 安全校验与流式输出智能体等核心特性，帮助开发者系统掌握 LangChain v1 的所有关键组件
Advanced usage
Guardrails: https://docs.langchain.com/oss/python/langchain/guardrails Runtime: https://docs.langchain.com/oss/python/langchain/runtime Context engineering in agents: https://docs.langchain.com/oss/python/langchain/context-engineering Model Context Protocol (MCP): https://docs.langchain.com/oss/python/langchain/mcp Human-in-the-loop: https://docs.langchain.com/oss/python/langchain/human-in-the-loop Multi-agent: https://docs.langchain.com/oss/python/langchain/multi-agent Retrieval: https://docs.langchain.com/oss/python/langchain/retrieval Long-term memory: https://docs.langchain.com/oss/python/langchain/long-term-memory
Capabilities
Persistence：https://docs.langchain.com/oss/python/langgraph/persistence Durable execution： https://docs.langchain.com/oss/python/langgraph/durable-execution Streaming：https://docs.langchain.com/oss/python/langgraph/streaming Interrupts： https://docs.langchain.com/oss/python/langgraph/interrupts Use time-travel：https://docs.langchain.com/oss/python/langgraph/use-time-travel Memory： https://docs.langchain.com/oss/python/langgraph/add-memory Subgraphs： https://docs.langchain.com/oss/python/langgraph/use-subgraphs
Core components
Agents: https://docs.langchain.com/oss/python/langchain/agents Models: https://docs.langchain.com/oss/python/langchain/models Messages: https://docs.langchain.com/oss/python/langchain/messages Tools: https://docs.langchain.com/oss/python/langchain/tools Short-term memory: https://docs.langchain.com/oss/python/langchain/short-term-memory Streaming: https://docs.langchain.com/oss/python/langchain/streaming Middleware: https://docs.langchain.com/oss/python/langchain/middleware Structured output: https://docs.langchain.com/oss/python/langchain/structured-output
LangChain Reference
https://reference.langchain.com/python/langchain/
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Works With
Any AI assistant that accepts custom rules or system prompts