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πŸ€– AgentGuard - AI Agent Security & Governance

Guardrails for autonomous AI agents. Deploy AI with confidence and regulatory compliance.

License: MIT Python 3.11+ Status: Alpha

🎯 Problem

Autonomous AI agents can make costly mistakes:

  • Hallucinations lead to wrong decisions
  • No human oversight for critical actions
  • Compliance requires audit trail
  • Resource usage unconstrained

πŸ’‘ Solution

AgentGuard provides AI governance:

  • Human-in-the-loop - Approval workflows
  • Sandbox execution - Isolated environments
  • Policy enforcement - Configurable rules
  • Complete audit trail - For regulators

⚑ Quick Start

git clone https://github.com/yksanjo/agentguard.git
cd agentguard
pip install -r requirements.txt
python src/main.py

πŸš€ Features

  • βœ… Behavior Monitoring - Track all actions
  • βœ… Sandbox Manager - Docker isolation
  • βœ… Policy Engine - Governance rules
  • βœ… Resource Limits - CPU, memory, API calls
  • βœ… Audit Logger - Complete history

πŸ’° Value

  • Real-time action blocking - Prevent mistakes
  • EU AI Act compliant - Governance ready
  • Human approval - For high-risk decisions
  • Complete transparency - Full audit trail

πŸ“Š Tech Stack

  • Backend: Python 3.11+, FastAPI
  • Agents: LangChain, LangGraph
  • Sandbox: Docker
  • Database: PostgreSQL (audit logs)

πŸ“„ License

MIT License

πŸ’¬ Contact

[email protected]


⚠️ Essential for responsible AI deployment in regulated industries.

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πŸ›‘οΈ Security framework for AI agents and autonomous systems

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