AgentRealm is a platform for managing always-on AI agents that function as virtual employees. Masters create realms and onboard agents that connect to tools for supervised work. Checkpoint, its core module, implements a goal-setting, periodic check-in with work proofs, and feedback loop that allows users to guide and improve agent behavior over time. It is designed for teams running persistent AI systems that need structured oversight beyond raw conversation logs.
In the AI & ML space, AgentRealm takes a focused approach. It focuses on supervising and improving the performance of perpetually running AI agents without manually reviewing endless chat logs. It is built as a B2B product for AI developers and teams managing autonomous agents. There is a free tier. AgentRealm is available on the web.
It is developed by AgentRealm, and it first shipped in 2025. Among its 5 catalogued features are Goal Setting, Structured Check-ins, and Work Proofs.
Summary written by a language model from the project’s public pages.
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