Guardrails for autonomous AI agents. Deploy AI with confidence and regulatory compliance.
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
AgentGuard provides AI governance:
- Human-in-the-loop - Approval workflows
- Sandbox execution - Isolated environments
- Policy enforcement - Configurable rules
- Complete audit trail - For regulators
git clone https://github.com/yksanjo/agentguard.git
cd agentguard
pip install -r requirements.txt
python src/main.py- β Behavior Monitoring - Track all actions
- β Sandbox Manager - Docker isolation
- β Policy Engine - Governance rules
- β Resource Limits - CPU, memory, API calls
- β Audit Logger - Complete history
- Real-time action blocking - Prevent mistakes
- EU AI Act compliant - Governance ready
- Human approval - For high-risk decisions
- Complete transparency - Full audit trail
- Backend: Python 3.11+, FastAPI
- Agents: LangChain, LangGraph
- Sandbox: Docker
- Database: PostgreSQL (audit logs)
MIT License