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AI Code Editor
The AI code editor by Anysphere. An agent searches your codebase, edits files, and runs commands from a plain-language request, while Tab autocomplete predicts your next move. It pairs in-house Composer models with bring-your-own frontier models from OpenAI, Anthropic, Google, and xAI.
Agent
Searches the codebase, edits files, and runs terminal commands across multi-step tasks
Tab
Fast autocomplete that predicts your next edit, powered by the in-house Fusion model
Composer
Anysphere's low-latency in-house coding model; current release is Composer 2.5
Frontier Models
Bring models from OpenAI, Anthropic, Google, and xAI, with Max Mode for long context
Bugbot & CLI
Agentic code review on GitHub pull requests, plus a terminal CLI with headless and CI modes (vendor-reported)
Cursor is built by Anysphere, Inc., a San Francisco company founded in 2022 by four MIT students: Michael Truell, Sualeh Asif, Arvid Lunnemark, and Aman Sanger. The editor turns a plain-language request into real work: its agent searches the codebase, edits files, runs terminal commands, and carries out multi-step tasks. Plans run from a free Hobby tier, to Individual at $20 a month, Teams at $40 per user a month, and a custom Enterprise tier (all vendor-reported). Independent reporting puts the company at a $29.3 billion valuation with $3 billion in annual recurring revenue, and an xAI deal that includes a reported right to acquire Cursor later in 2026 (reported and in progress). All figures below are vendor or independent reported and verified 2026-06-09.
The Cursor agent works from a natural-language request: it searches the codebase, edits files, runs commands, and completes multi-step tasks. Cursor 2.0 (October 2025) added the ability to run several agents in parallel through git worktrees or remote machines, alongside web, mobile, CLI, and cloud agents.
Composer is Anysphere's in-house low-latency coding model, trained with codebase-wide semantic search; the current release is Composer 2.5 (May 2026). Tab autocomplete runs on the in-house Fusion model. You can also pick frontier models from OpenAI, Anthropic, Google, and xAI, many with a Max Mode for long context. Model availability moves quickly.
Every plan includes a set amount of model usage; once that is consumed, on-demand usage continues and is billed in arrears. A July 2025 change to a usage-metered cap drew complaints over surprise charges and was rolled back with refunds. For the current limits and the exact Pro, Pro+, and Ultra options, confirm at cursor.com/pricing.
Vendor and independent reported, verified 2026-06-09. Pricing tiers and model lists move quickly; confirm current details at cursor.com/pricing and docs.cursor.com.
$20
Individual / Month
$40
Teams / User / Mo
2022
Anysphere Founded
Composer 2.5
Current In-House Model
In-depth coverage of Cursor's pricing, free tier, agent and Composer, supported models, Tab autocomplete, and how it compares with GitHub Copilot. Researched with vendor documentation and honest trade-offs.
The AI code editor explained: how the agent searches your codebase and edits files from a plain-language request, who builds it, and how the free and paid plans differ.
Hobby, Individual, Teams, and Enterprise tiers broken down, plus how included usage and on-demand overage billing actually work (vendor-reported).
Yes, with limits: the Hobby plan is free with no credit card, capping Agent requests and Tab completions. Here is what you give up versus the paid Individual tier.
A walkthrough from install to first agent task: opening a project, writing a request, reviewing the agent's edits, and using Tab autocomplete as you code.
The agent-native editor against the in-IDE assistant: Cursor's grounded pricing, in-house and frontier models, Tab, and Bugbot, with an honest read on where each fits.
How the agent runs multi-step tasks and parallel work through git worktrees, and how the in-house Composer model (now Composer 2.5) powers low-latency coding.
The frontier models from OpenAI, Anthropic, Google, and xAI you can choose, plus Cursor's in-house Composer and Fusion, and what Max Mode adds for long context.
The fast autocomplete that predicts your next action, including the cursor jumps to where you will move next, powered by the in-house Fusion model.
Explore the model providers behind Cursor, agent frameworks, and the broader AI Tools Hub.
Anthropic Claude Hub
The Claude frontier models you can choose inside Cursor for agentic coding.
ChatGPT Hub
OpenAI's GPT models, another frontier option Cursor lets you bring to your editor.
LangChain Hub
Build agent workflows, and connect tools through the Model Context Protocol Cursor supports.
AI Tools Hub
Breakdowns, comparisons, and guides across the leading AI vendors.
AI Governance
Responsible AI, code provenance, the EU AI Act, and compliance for generative tools.
Important context for responsible AI adoption
Cursor is a hosted editor: your code, prompts, and the agent's actions are processed through its cloud infrastructure and your chosen model providers. Cursor offers a Privacy Mode that you can toggle in settings, or that a team admin can enforce organization-wide; when enabled, Cursor states that your code is not used for training by Anysphere or its model providers. The sources do not detail storage or retention specifics, so review Cursor's current Security page and privacy policy, and prefer Privacy Mode and enterprise controls before processing sensitive or proprietary code.
Coding assistants like Cursor speed up output, but long agent-driven sessions can blur into overwork, and the ease of generating code should not replace rest, review, or real connection. If you are experiencing distress:
AI systems can produce plausible-sounding but incorrect guidance. For mental health, medical, legal, or financial decisions, always consult a qualified professional.
See the NIST AI Risk Management Framework for structured guidance on AI risk assessment.
Under GDPR (EU) and CCPA (California), you have the right to access, correct, and delete your personal data. AI coding tools can produce confident but wrong output: in an April 2025 incident, a Cursor support AI invented a non-existent login policy, prompting cancellations before staff apologized and refunded. Always review agent edits before merging, and validate generated code against your own tests and security review.
The EU AI Act sets transparency obligations for generative AI, including disclosure of AI-generated content. Organizations adopting AI coding tools remain responsible for meeting these provisions and for the code they ship.
This publication is editorially independent. AI tool coverage reflects independent research, vendor documentation, and editorial judgment. Where affiliate links are present, they are clearly disclosed and do not influence conclusions.