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epistemic-guardrails-for-ai-agents
theios-research-institute February 5, 2026
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Cross-platform epistemic access control for AI coding assistants - Claude Code, Cursor, GitHub Copilot
Agent Definition
# Epistemic Guardrails for AI Agents > **Controlling what knowledge systems can access, retain, and operate on.** [](LICENSE) [](https://claude.ai/code) [](https://cursor.com) [](https://github.com/features/cursor) A contribution from [Theios Research Institute, Inc.](https://theios.org) --- ## Disclaimer This software is provided as-is with no warranty. The authors are not responsible for data loss, security breaches, or any damages resulting from the use of this software. This tool is an aid, not a guarantee of protection. Users are responsible for verifying their own security configurations and compliance requirements. This is not legal advice. --- ## The Problem AI coding assistants like Claude Code, Cursor, and GitHub Copilot can retain conversation history through memory features. While useful for continuity, this creates a critical challenge: **How do you work on sensitive projects (proprietary research, pre-patent work, trade secrets) while using memory for routine development?** The answer: **Epistemic Guardrails** - a framework that enforces information boundaries based on project sensitivity. ### Four Layers of Protection 1. **Session-Start Guard** - Warns the AI about sensitive directories when memory is enabled (SessionStart hook) 2. **PreToolUse Hook** - Blocks file access to sensitive directories during active sessions (hard enforcement) 3. **Path + Keyword Detection** - Identifies sensitive projects by directory path and naming patterns 4. **Outbound Action Guard** - Blocks pushes, publishes, and deploys to unauthorized destinations (Bash tool interception) --- ## Overview Epistemic Guardrails provides a unified framework for controlling info
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