Hi everyone,
Guardian is an early open-source project exploring a governance layer for autonomous AI systems.
The idea is to place a deterministic policy engine between agent intent and execution, so that every action becomes:
intent → policy → decision → evidence
This allows systems to be:
• auditable
• replayable
• policy-governed
I'm very interested in feedback from people building:
- AI agents
- automation systems
- policy engines
- safety infrastructure
Questions I'm exploring:
- What governance problems do you see in current AI agent architectures?
- Do existing guardrails or policy engines solve this?
- What would make a governance layer useful in production systems?
All thoughts and criticism are welcome.
Thanks for taking a look at the project.
Hi everyone,
Guardian is an early open-source project exploring a governance layer for autonomous AI systems.
The idea is to place a deterministic policy engine between agent intent and execution, so that every action becomes:
intent → policy → decision → evidence
This allows systems to be:
• auditable
• replayable
• policy-governed
I'm very interested in feedback from people building:
Questions I'm exploring:
All thoughts and criticism are welcome.
Thanks for taking a look at the project.