VibeDrift is an open-source tool for keeping AI coding agents aligned with a project’s existing conventions as the codebase grows. Its page says it catches drift before it spreads, describing the problem as agents forgetting patterns, repeating code, and breaking what worked.
The tool runs a local scan from the command line with npx @vibedrift/cli. It checks for mismatched patterns, missing authentication guards, duplicate code, and incomplete scaffolding, and it ranks findings by how much they hurt. The page also says each finding comes with a copy-paste fix. Beyond the local scan, VibeDrift includes an MCP server for mid-task checks, letting an agent ask a codebase questions such as whether something already exists, what the project’s error-handling pattern is, whether a file matches conventions, or whether a change would introduce drift. A watch mode refreshes the memory on every file save, and the product says it keeps a .vibedrift/ folder with context, open drifts, prioritized fixes, and machine-readable patterns that the agent reads every session.
It is described as working with Claude Code, Cursor, GitHub Copilot, Windsurf, Antigravity, OpenAI Codex, Kiro, and any MCP client. The page says the local scan runs on the user’s machine, makes no network calls, and requires no login. Pricing copy on the site refers to a free local scan, and it also labels the product open source and fully public. The page shows MIT as the license and presents a Pro deep scan alongside the free local scan. It also describes VibeDrift as TypeScript.
VibeDrift sits in PulseGate's AI code review category. It prevents AI coding agents from degrading in quality as projects grow by detecting and correcting agent drift. It is built as an open-source project for developers using AI coding agents and MCP clients. The project is open source (MIT). It runs on the web and the command line.
It is developed by VibeDrift contributors, and it first shipped in 2026. Development happens publicly on GitHub with 38 stars and 61 commits in the last 90 days. Key capabilities include agent drift detection, open source, and CLI tool. It exposes integrations via an MCP server.
Summary written by a language model from the project’s public pages.
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