Skip to main content

Cursor vs LangChain

A feature-by-feature comparison of Cursor and LangChain across 7 capability categories.

First tool

Try Cursor (opens in a new tab)

Second tool

Try LangChain (opens in a new tab)

Modalities — Cursor Wins

Modalities: Cursor compared with LangChain
Feature	Cursor	LangChain
Text Input	Yes. Agent chat is driven by text prompts in the input. You type instructions, attach @ context, and switch models from that same field.	Yes, requires free plan. LangChain/LangGraph agents are text-in. Fleet lets teams build agents in natural language.
Image Upload / Vision	Yes. You can drag an image into chat or paste a screenshot. Agent also reads image files (.png, .jpg, .gif, .webp, .svg) for vision-capable models.	Unknown. Depends on the model you wire. Not a first-party vision SKU.
Image Generation	Yes. Agent can generate images from text or reference images for UI mockups and diagrams. Files land in the project assets/ folder and show inline in chat.	No. Framework, not an image model.
Voice Mode	Partial. A microphone in the chat input dictation-transcribes prompts, and iOS can dictate to agents. That is one-way voice input, not a two-way spoken conversation loop.	No. Not a voice-assistant product.
Video Understanding	Partial. Grok Bot accepts video attachments (up to 200 MB) so that Bot can inspect recorded footage. Core Agent chat is documented for images and files, not a general YouTube/video-watch loop, so this is not product-wide video understanding.	No. Not a video product.
Video Generation	No. Not a video generation product.	No. Not a video generation product.
File Upload (PDF, DOCX)	Yes. Chat @-mentions attach files and folders. Grok Bot also takes PDFs, Office docs, CSV, JSON, source, and notebooks as message attachments.	Partial. You add loaders in code. LangSmith is not a consumer PDF chat.
Code Execution	Yes. Agent runs shell commands in the terminal, watches output, and can execute tests, linters, and builds as part of a task.	Yes, requires plus plan. Deploy path: run agent-generated code in isolated sandboxes.
Audio Input	Partial. Grok Bot message attachments include audio files (25 MB each) in the same table as documents and images, so pre-recorded audio can be sent for a task. Core Agent chat is not documented as a general audio-file transcribe surface, so this is Grok Bot only.	No. Not a speech product.
Canvas / Artifact Editor	Yes. The Agents Window is an agent-first workspace beside the classic IDE editor, with diffs, file search, and split layouts. Agent also opens in a Cmd+I sidepane.	No. Code + LangSmith traces, not a consumer canvas.
Screen Sharing / Computer Use	Yes. Cloud Agents run a full desktop and can drive mouse/keyboard plus the browser (computer use). You can take over the remote desktop, then hand control back to the agent.	No. No computer-use desktop product.

Memory & Context — Tie

Memory & Context: Cursor compared with LangChain
Feature	Cursor	LangChain
Persistent Memory	Partial. Grok Bots retain facts and summaries across work. Core Agent chat relies on Rules instead of auto-memory between completions, so this is not ChatGPT-style global memory.	Yes, requires free plan. Own your harness, context, and memory. LangGraph is built for persistent state.
Large Context Window	Yes. Each chat has a fixed model context window with a usage ring. Cloud Agents let you pick context size; several models document up to 1M-token extended context.	Unknown. Depends on the model you choose. No LangChain token window.
Custom Instructions	Yes. Project and user Rules (.cursor/rules plus User Rules) inject persistent instructions into Agent. Always Apply, glob, and @-mention rules are documented.	Yes, requires free plan. Prompts, graphs, and Fleet natural-language agent specs.
Conversation History	Yes. Past chats persist so you can @Chats into a new prompt. CLI resume/continue reloads prior threads; iOS keeps an agent inbox of running conversations.	Yes, requires plus plan. LangSmith traces and datasets persist agent runs.

Integrations — Cursor Wins

Integrations: Cursor compared with LangChain
Feature	Cursor	LangChain
Web Search / Browsing	Yes. Agent has a Web tool that generates search queries and performs live web searches during a task.	Partial. You add a search tool. Not a built-in cited search box.
Plugins / Extensions	Yes. Cursor Marketplace installs official plugins that bundle rules, skills, MCP servers, and hooks. Teams can ship a private marketplace; VS Code extensions still work in the editor.	Yes, requires free plan. Model providers, tools, and 30+ Agent Server endpoints.
API Access	Yes. Cloud Agents API, TypeScript/Python SDKs, Admin API, Analytics API, and related endpoints are documented. They run agent workflows, not a raw chat-completions API.	Yes, requires free plan. OSS libraries plus LangSmith / Agent Server APIs.
Zapier Integration	Unknown. No first-party Cursor Zapier app was listed on cursor.com/docs. Automations document GitHub, GitLab, Slack, Linear, and webhooks instead.	Unknown. No first-party Zapier listing was checked.
Custom GPTs / Bots	Yes. Grok Bots are named durable agents with a profile, skills, routines, and shareable templates. You create, duplicate, and share a Bot the way Custom GPTs are specialized agents.	Yes, requires free plan. You build agents (Fleet in NL, or code) and deploy them.
Real-time Collaboration	Partial. You can share a Cloud Agent URL with teammates (read-only unless team follow-ups are on). Grok Bot group chats exist. This is not a simultaneous multiplayer editor session.	Partial. Teams share LangSmith. Not a multiplayer chat canvas.
Live Social Data Integration		No. No live social firehose product.
Live Citation Mapping		No. Not a cited-search product.

Developer — LangChain Wins

Developer: Cursor compared with LangChain
Feature	Cursor	LangChain
Function Calling	Yes. Cursor connects to MCP servers that expose tools the model can execute. Agents call those functions from chat and Plan Mode, with user approval before each tool run by default.	Yes, requires free plan. Tool calling is the framework. Human approval for sensitive actions on LangSmith.
Streaming Responses	Yes. iOS follows agent work live and watches the chat stream as the agent codes. The TypeScript SDK iterates streams; ACP clients handle streaming session updates.	Yes, requires free plan. Streaming tokens is standard in the Python/JS APIs.
Fine-Tuning	No. Public APIs run hosted agent workflows. Docs do not offer a customer fine-tune SKU for foundation weights; you pick Cursor and third-party hosted models.	No. You pick models. LangChain does not train weights.
Embeddings API	No. Cursor APIs are agent, admin, and analytics endpoints, not a vector embeddings API for converting text into embeddings in your own app.	Partial. Embedding integrations exist in the OSS stack. LangChain is not an embeddings vendor.
Structured Output (JSON)	Unknown. ACP and SDKs exchange JSON-RPC/tool payloads, but no first-party JSON-schema guarantee for model replies was documented on the API overview.	Yes, requires free plan. Structured output parsers / tool args are a core pattern.
Reasoning / Thinking Mode	Yes. The model catalog lists Thinking variants and GPT reasoning-effort options (for example gpt-5-high). The SDK exposes thinking messages and a reasoning-effort parameter.	Partial. Deep Agents for long-running work. That is agent loops, not a user Deep Think toggle.
Local Execution		Yes, requires free plan. Open-source frameworks run locally. LangSmith cloud is optional.
Open Weights		Partial. Framework is OSS (350M+ monthly downloads). You bring any model, including open weights.
Multi-Agent Orchestration		Yes, requires free plan. LangGraph / Deep Agents for multi-step and multi-actor graphs.

Platforms — Cursor Wins

Platforms: Cursor compared with LangChain
Feature	Cursor	LangChain
Web App	Yes. Cursor Web at cursor.com/agents starts and manages cloud agents from a browser on any device, alongside desktop and iOS.	Yes, requires free plan. langchain.com plus LangSmith web console.
iOS App	Yes. Native Cursor for iOS (App Store) directs cloud and local agents, reviews PRs, and streams work. Requires iOS/iPadOS 26+; listed on Start through Enterprise.	No. No iOS app.
Android App	Partial. There is no native Android app; docs say Android is planned. Use cursor.com/agents in Chrome and Install App for a PWA.	No. No Android app.
Desktop App	Yes. Cursor is a native IDE: .dmg on macOS 12+, .exe on Windows 10+, and apt/yum/AppImage on Linux. Quickstart starts with installing that desktop app.	No. No branded desktop app.
Chrome Extension	No. Documented clients are the desktop IDE, cursor.com/agents, iOS, Slack, GitHub, Linear, and the API. Agent uses a built-in IDE browser, not an official Chrome extension.	No. No Chrome extension.

Privacy — Cursor Wins

Privacy: Cursor compared with LangChain
Feature	Cursor	LangChain
GDPR Compliant	Yes. Enterprise docs link a GDPR-compliant DPA and state Cursor maintains GDPR compliance alongside SOC 2 Type II. Individual plans follow the Privacy Policy, not the DPA.	Unknown. SaaS vs self-host. A DPA was not read this round.
Opt Out of Data Training	Yes. Privacy Mode is a settings toggle: with it on, Customer Data is not used for training by Cursor or model providers under ZDR. Teams/Enterprise can enforce it org-wide.	Partial. Self-host / BYOC keeps data on your infra. SaaS training policy was not checked.
Enterprise Privacy Mode	Yes, requires enterprise plan. Enterprise adds Privacy Mode enforcement, ZDR, optional CMEK, data residency, SSO/SCIM, and a DPA. Privacy Mode is on by default for Enterprise teams.	Yes, requires enterprise plan. Govern: LLM Gateway, spend limits, sensitive-data detection. Deploy SaaS, BYOC, or self-hosted. 5 of Fortune 10.

Workspaces — Tie

Workspaces: Cursor compared with LangChain
Feature	Cursor	LangChain
Projects / Folders	Yes. You open a project folder after install. Agents Window adds multi-workspace; Agent search docs cover multi-root workspaces with per-folder context.	Yes, requires plus plan. LangSmith projects, datasets, and deployments.