Cursor 3

Curious how this handles context across multiple agents running in parallel — does it maintain shared memory between them?

Congrats on your launch, Cursor team. This developer tools race is insane. You pick a tool, dive into it, and use it until their competitor releases a new version. I'm jumping between Cursor, Claude Code, and Codex.

Honestly pretty disappointing of an update. If you didn’t tell me there was an update I wouldn’t have had any idea.

Wow! Can't chase all these updates. But I'll get it anyway. All the best team!

curious about the MCP integration piece - are you supporting custom protocol handlers or just the standard anthropic ones? we've been building some healthcare-specific MCPs and the tooling around that ecosystem still feels pretty early

Parallel local/cloud agents in one workspace is the right direction - context switching between Claude Code, a cloud runner, and local terminal is where a lot of time disappears right now. How does Cursor 3 handle agent conflicts when two parallel agents try to touch the same file at the same time?

Parallel local/cloud agents in a unified workspace is the right direction - context switching between Claude Code, a cloud runner, and your local terminal is where a lot of time disappears right now. The MCP piece is interesting too. How does Cursor 3 handle agent conflicts when two parallel agents try to touch the same file or resource at the same time?

most ai coding tools still assume you're working on one thing at a time in one place. you kick off a task, wait for it, then start the next. if you want to run something in the cloud, that's a different context, and if you need to review the diff or open a pr, you're back in the browser or a separate terminal tab. the agent does work, but the workflow is still fragmented.what cursor 3 is doing differently is treating the workspace as the unit, not the editor. being able to run parallel agents across repos, hand off sessions between local and cloud without losing context, and review prs from the same place you kicked off the task, that collapses a real chunk of the context-switching overhead that currently just gets accepted as the cost of working with ai.

Parallel agents is what I've been waiting for. Right now I'm bouncing between Claude Code in terminal and Cursor for UI stuff and the context switching kills the flow. If this actually lets me run local and cloud agents side by side in one workspace, that changes how I build. How's the MCP setup? Plug and play or does it need a lot of config?

Cursor 3 is a unified workspace for building software with agents — faster, cleaner, and built from scratch around how engineers actually work with AI today.All agents in one place: local and cloud agents in a single sidebar, including ones kicked off from mobile, web, Slack, GitHub, and LinearParallel agents: run multiple agents across different repos simultaneously, with demos and screenshots to verify cloud agent outputLocal ↔ cloud handoff: move agent sessions between environments instantly — push to cloud to keep running while offline, or pull local to test and iterateDiffs and PRs: review changes, stage, commit, and manage PRs from a cleaner diffs viewIntegrated browser: agents can open, navigate, and prompt against local websites directlyCursor Marketplace: browse and install plugins that extend agents with MCPs, skills, subagents, and moreFull IDE depth: view files and go-to-definition with full LSP support, anytime