What can Cursor Agent do?

Cursor Agent can independently perform complex coding tasks using tools for codebase search, file reading and editing, terminal execution, web search, browser interaction, and other development actions.

Can Cursor Agent run coding tasks in the cloud?

Yes. Cursor Cloud Agents run in isolated virtual machines with development environments containing cloned repositories, dependencies, secrets, startup commands, and network access. They can build, test, and interact with changed software.

Can Cursor Agents be started automatically?

Yes. Cursor Automations can run Cloud Agents on recurring schedules or in response to events from systems including GitHub, GitLab, Slack, Linear, and webhooks. Cloud Agents can also be launched and managed programmatically through the Cloud Agents API.

Cursor Agent

AI coding agent that can independently work on complex coding tasks, search codebases and the web, edit files, run commands, test software, and operate locally or through cloud agents.

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About Cursor Agent

Cursor Agent is an AI coding agent designed to complete complex software development tasks independently. It combines instructions, tools, and a selected AI model to search codebases, read and edit files, execute terminal commands, search the web, interact with browsers, and work through development tasks.

Developers can use Cursor Agent interactively or run Cloud Agents in isolated virtual machines with cloned repositories, installed dependencies, secrets, startup commands, and network access. Cloud Agents can build and test changed software, interact with browsers and computers, work across multiple repositories, and run multiple agents in parallel without requiring the developer's local machine to remain connected.

Cursor also supports automated agent workflows. Cloud Agents can be started on schedules or from events generated by GitHub, GitLab, Slack, Linear, and webhooks. Developers can programmatically launch and manage Cloud Agents through the Cloud Agents API, while MCP support enables agents to connect with external tools, APIs, databases, and other data sources.

Pricing

Hobby: Free Includes limited Agent requests and access to Composer.
Individual: $20/month Includes extended Agent limits, access to frontier models, MCPs, skills, hooks, and Cloud Agents.
Teams: $40/user/month Includes Individual features plus Cloud Agents and automations with shared team context, centralized administration, usage analytics, privacy controls, and agentic code reviews with Bugbot.
Enterprise: Custom Includes Teams features plus pooled usage, repository, model and MCP access controls, auto run, browser and network controls, audit logs, service accounts, and additional enterprise controls.

Use Cases

Implementing and modifying software features across a codebase
Investigating bugs, editing code, and running tests or development commands
Running background coding tasks in isolated cloud development environments
Automating engineering workflows from repository events, schedules, Slack, Linear, or webhooks

Pros & Cons

Pros:

Can independently search codebases, edit files, execute terminal commands, use the web, and interact with browsers during coding tasks.
Cloud Agents can run in parallel without requiring the developer's local machine to remain online and can work across multiple repositories.
Supports scheduled and event driven agent workflows, an API for programmatic agent management, and MCP connections to external tools and data.

Cons: