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Sentinel Agents

Constraint-first governed runtime for autonomous AI agents.

What it is

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.

Current status

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

Architecture flow

User Input
  -> Policy
  -> Risk
  -> Agent Runtime
  -> Capabilities / Sandbox
  -> Memory
  -> Learning
  -> Evaluation
  -> Governance
  -> Deployment
  -> Self-Governance
  -> Output

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Governed runtime for autonomous AI agents with capability permissions, policy enforcement, and sandboxed execution.

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