scorekeeper is an open-source Python package that provides commitment tracking for LLM agents, enabling developers to manage agents' commitments, entitlements, and incompatibilities. It is designed for use in agent-based AI systems and supports context engineering and inferentialism. Ideal for developers building complex agent workflows.
scorekeeper sits in PulseGate's AI & ML category. It focuses on tracking and managing the commitments and entitlements of LLM agents in agent-based systems. scorekeeper is an open-source project aimed at AI agent developers. The project is open source (Apache-2.0). scorekeeper is available on the command line.
It is developed by Michal Strnadel, and the product first shipped in 2026. The project is developed in the open on GitHub with 35 commits in the last 90 days. Among its 5 catalogued features are commitment tracking, entitlement management, and incompatibility detection.
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