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RuleDrift
Catch the moment your agent drifts from its rules.
RuleDrift tests whether an AI agent still follows important instructions after a conversation becomes long or distracting.
Run it like a test suite when you change a prompt, model, memory system, or agent workflow. It runs locally and does not sit in front of production requests.
Quick start
Requires Node.js 22+ and Ollama.
ollama pull qwen3:1.7b
npx rule-drift init
npx rule-drift test
No paid model API, account, backend, or telemetry is required.
What you get
- The first conversation point where a rule fails
- Terminal, JSON, and JUnit reports
- Local Ollama and bring-your-own-agent support
- Optional MCP tools for AI coding clients
- Stable exit codes for CI
MCP
npx -y rule-drift mcp --root /path/to/your/project
See the MCP setup guide for client configuration and safety details.
Documentation
Contributions are welcome—see CONTRIBUTING.md. Licensed under MIT.
FAQs
Test whether AI agents retain critical instructions as conversations grow.
We found that rule-drift demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Package last updated on 14 Aug 2026
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