Based on 6 capability dimensions
8 versions
Cursor introduced multitasking with async subagents via /multitask command to parallelize requests, improved worktrees experience in the Agents Window for running isolated tasks across branches, and multi-root workspace support allowing a single agent session to target multiple folders for cross-repo changes.
Cursor 3.1 introduces interactive Canvases that allow the AI to respond with visualizations including dashboards and custom interfaces. The Agents Window received a tiled layout for running multiple agents in parallel, and voice input was upgraded with batch STT for higher-quality speech-to-text transcription.
Cursor added 30+ new plugins from partners like Atlassian, Datadog, GitLab, and Hugging Face, enabling cloud agents to read, write, and take actions across more of the development stack. Previous updates also introduced Automations for always-on agents triggered by schedules or events, JetBrains IDE support via Agent Client Protocol, MCP Apps with interactive UIs, and Bugbot Autofix for automatic PR fixes.
Cursor added 30+ new plugins from partners like Atlassian, Datadog, GitLab, and Hugging Face, enabling cloud agents to read, write, and take actions across more of the user's stack. Previous updates also introduced Automations for always-on agents triggered by schedules or events, JetBrains IDE support via Agent Client Protocol, MCP Apps with interactive UIs, and Bugbot Autofix for automatic PR fixes.
Composer 2 is now available in Cursor, offering frontier-level coding performance with strong results on challenging coding tasks. It introduces a two-tier pricing model: Standard at $0.50/M input and $2.50/M output tokens, and Fast (default) at $1.50/M input and $7.50/M output tokens. Additionally, self-hosted cloud agents are now supported, keeping code and tool execution entirely within the user's own network infrastructure.
3 versions
Autonomous agent mode. Plan, build and test features from a GitHub issue with minimal input.
Conversational coding assistant added. Ask questions about your code directly in the editor.
First AI pair programmer. Trained on public GitHub repos using OpenAI Codex. Technical preview launched.