Constraint-first governed runtime for autonomous AI agents.
Sentinel Agents is a prototype runtime for agent execution under policy, risk, memory, evaluation, governance, deployment, and self-governance constraints.
It is designed to explore how autonomous systems can be made more controlled, traceable, and adaptable under uncertainty.
Implemented at prototype level:
- Phase 1: Core runtime
- Phase 2: Secure execution
- Phase 3: Risk intelligence
- Phase 4: Swarm coordination
- Phase 5: Memory layer
- Phase 6: Adaptive learning
- Phase 7: Evaluation layer
- Phase 8: Governance and audit
- Phase 9: Deployment layer
- Phase 10: Self-governance layer
User Input
-> Policy
-> Risk
-> Agent Runtime
-> Capabilities / Sandbox
-> Memory
-> Learning
-> Evaluation
-> Governance
-> Deployment
-> Self-Governance
-> Output