Rebuno enforces execution guardrails and state management for AI agents
Builders need a reliable way to control AI agent behavior and ensure safe, auditable execution in production environments, especially across heterogeneous frameworks and tool integrations.
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Rebuno open-sources runtime for AI agent execution with policy guardrails
Rebuno launched as an open-source runtime that manages execution state and enforces per-agent YAML policies for AI agents running as HTTP services. It logs all policy decisions and outcomes in an append-only event log and supports safe retries and human approval workflows.