Show HN: Charter – Operate production-safe agents that run on your own infra (github.com)

Charter, an open-source platform, has emerged as an alternative to managed agent systems by allowing users to build and operate production-safe agents within their own environments. Its standout features include the ability to define agents and policies using YAML, a durable execution capability that enables agents to pause and resume tasks across different workers while preserving their state, and a robust policy enforcement mechanism that governs agent behavior based on set thresholds. Notably, private data and model credentials remain secure as they never leave the user's environment, with Charter's control plane managing operational lifecycles while ensuring privacy. This initiative is significant for the AI/ML community as it offers enhanced control and customization over AI agents without the risks associated with third-party platforms. With Charter, developers can monitor and audit agent operations meticulously, maintaining full visibility of decisions and metrics, which is crucial for compliance in sensitive environments. The capacity to self-host the control plane and utilize local models maximizes security, making it particularly appealing to enterprises with strict data governance requirements. Overall, Charter welcomes user feedback as it seeks to refine its pre-1.0 offerings, presenting a promising tool for developers looking to implement AI solutions safely and effectively.