Cursor 3.0 Killed
Built-In Memories.
Here Is What to Use Instead.

Cursor 3.0 shipped with one quiet removal: the built-in Memories feature is gone. For developers who depended on it to carry project context across sessions, that means starting over every time the conversation resets. The fix is not to wait for Cursor to bring it back. It is to use memory that lives outside your editor, so it follows you wherever you work. OMEGA is a local-first memory engine that connects to Cursor, Claude Code, Windsurf, and any other MCP-compatible editor via a single pip install.

Cursor's built-in Memories let the AI retain facts across sessions automatically. You might mention that your project uses Postgres instead of MySQL, or that you prefer explicit error handling over silent failures. Cursor would remember those details and surface them in future conversations without you repeating yourself.

For teams using Cursor as their primary coding environment, this was genuinely useful. The AI developed a working model of the project over time: architecture decisions, naming conventions, in-progress features, and debugging context from previous sessions.

The feature had real limitations. Memories were stored inside Cursor and not portable anywhere else. If you opened the same project in Claude Code or Windsurf, the context stayed behind. And because the memory engine was Cursor's own implementation, there was no way to inspect, edit, or query what had been stored.

Now it is gone. Cursor 3.0 removed the feature without a direct replacement, leaving a gap for any team that depended on it.

The immediate effect is that every session starts cold. The AI has no record of the architecture decisions you made last week, the debugging session that traced a race condition to a specific module, or the naming convention your team standardized on three months ago.

The deeper issue is that this was a feature built into one product. Cursor controlled the data, the format, and the lifecycle. When Cursor chose to remove it, that context disappeared with no migration path. Memory that lives inside a single tool is memory you do not actually own.

OMEGA is a persistent memory engine that runs on your machine and connects to your editor via the Model Context Protocol. Because it uses MCP, it works with any editor that speaks MCP: Cursor, Claude Code, Windsurf, Cline, OpenClaw, and others. Your memories are stored in a local SQLite database at ~/.omega/, not inside any editor.

The core difference from Cursor's built-in feature: the memory is yours. You can inspect it, query it, edit it, and carry it into any tool. Switching from Cursor to Claude Code does not reset your context. Opening a project in Windsurf does not start over. The same memory follows the work, not the editor.

Getting OMEGA running in Cursor takes about two minutes. The process is: install the package, then add it as an MCP server in Cursor's settings.

This installs the package from PyPI and initializes the local database. The setup step downloads the ONNX embedding model (~33 MB) and creates ~/.omega/. Python 3.11 or later is required.

Open Cursor settings and navigate to the MCP section. Add the following server configuration:

If you have multiple Python versions installed and python3 does not point to 3.11+, use the explicit path instead:

Restart Cursor after saving the config. OMEGA will appear in the MCP tools list. The AI can now store and retrieve memories across sessions automatically.

Because OMEGA uses standard MCP, the same server works in other editors without any changes to the memory itself. For Claude Code, add the server via the /mcp add command or directly in your ~/.claude.json:

The memory database at ~/.omega/ is shared. A memory stored during a Cursor session is available in your next Claude Code session and vice versa. There is no sync step and no conflict resolution required.

The reason Cursor Memories felt useful was not the implementation. It was the concept: an AI that carries context forward instead of starting cold. The implementation was always fragile, because it depended on one vendor maintaining one feature across product releases. Cursor 3.0 proved that dependency.

The correct architecture separates the memory layer from the editor. Memory is infrastructure, the same way a database is infrastructure. You would not store your codebase inside your text editor. Memory that accumulates real value over months of work should not live there either.

MCP makes this separation practical. Any editor that supports MCP can connect to OMEGA. The AI tooling landscape is changing fast: new editors, new models, new workflows. Memory that is coupled to one editor gets left behind when the landscape shifts. Memory built on an open protocol follows you.