Cursor vs LangChain

Cursor

LangChain

Cursor · 15 features

• Agent Mode — Autonomous multi-file editing + tool use. Runs terminal commands with confirmati…
• Background Agents — Run agents in the cloud to tackle longer tasks async.
• BugBot (PR reviews) — AI reviewer on GitHub PRs.
• Chat (⌘L) — Conversational chat with codebase context.
• Cmd-K Inline Edit — Highlight code + ⌘K → natural language edit instruction.
• Codebase Indexing — Embedding-based semantic search over your codebase.
• Composer — Multi-file edit sessions with full context.
• .cursorrules / Project Rules — Custom system prompts per project to steer the AI.
• MCP Support — Add Model Context Protocol servers to extend agent capabilities.
• Privacy Mode — Data never used for training; zero-retention routing.
• Skills & Hooks — User-defined skills library + lifecycle hooks.
• Tab (multi-line completion) — Predictive completions including next-edit suggestions.
• Team Shared Context — Share chats, commands, rules across team.
• VS Code Extension Compat — Most VS Code extensions work via the marketplace.
• YOLO Mode — Auto-approve all agent actions (for trusted workflows).

LangChain · 18 features

• Agents — Tool-using agents with reasoning loops.
• Chains (LCEL) — LangChain Expression Language — pipe primitives into chains.
• Checkpointers (LangGraph) — Persist agent state to SQL, Mongo, Redis, Postgres.
• Document Loaders — 150+ loaders for PDF, HTML, Notion, Google Drive, S3, GitHub, etc.
• Human-in-the-loop — Pause agent for approval, then resume.
• LangGraph — Stateful graph-based agent runtime. Durable, replayable, human-in-the-loop.
• LangGraph Platform — Managed hosting for LangGraph agents with state persistence.
• LangGraph Studio — Desktop IDE for debugging agent graphs.
• LangServe — Deploy chains as FastAPI endpoints.
• Memory — Buffer, summary, entity, vector memory stores.
• Output Parsers — Structured JSON, Pydantic schemas, function calling.
• Prompt Templates — Templating + partial filling + output parsers.
• RAG (Retrieval-Augmented Generation) — Standard patterns + 50+ retrievers.
• Streaming — First-class streaming at every layer.
• Subgraphs — Compose agent graphs hierarchically.
• Text Splitters — Recursive, token, semantic splitters for chunking.
• Tools — 400+ pre-built tools (web search, code, databases, APIs).
• Vector Store Integrations — 60+ vector DBs (Pinecone, Chroma, Weaviate, PGVector, Qdrant, Milvus).