#564 · Primary category: AI Coding Assistants

agentic-cursorrules

A practical approach to managing multiple AI agents in Cursor through strict file-tree partitioning and domain boundaries.

Project last updated:11/19/25

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645

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Why we included this project

Running several AI agents in Cursor against a big repository often ends with one agent 'helpfully' rewriting a shared utility file and breaking modules you never mentioned. This tool keeps that from happening by reading a config that maps directory patterns to named domains, honoring your .gitignore, and writing per-domain markdown rule files that give each agent explicit file-tree boundaries. Agents stay inside their own slice of the tree, so diffs stay local and you spend less time coordinating between them. The auto-config mode is handy for checking whether your folder structure makes sense to a machine, while the manual config path gives you precise control over production boundaries. It is a small, focused Python utility rather than a full framework, but it solves a real problem for teams that want structured multi-agent workflows without flooding agents with irrelevant context.

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