clew-custos is an open-source CLI tool that analyzes traces from multi-agent LLM systems to detect wasteful cycles and inefficiencies. It helps AI researchers and engineers optimize token usage and improve the efficiency of agent-based workflows.
In the LLM eval & observability space, clew-custos takes a focused approach. It focuses on identifying and reducing inefficiencies in multi-agent LLM workflows by detecting wasteful cycles in traces. clew-custos is an open-source project aimed at AI researchers. clew-custos is open source under the MIT license. It ships for the command line.
clew-custos first shipped in 2026. The project is developed in the open on GitHub with 135 commits in the last 90 days. Among its 5 catalogued features are trace analysis, cycle detection, and LLM observability.
Summary written by a language model from the project’s public pages.
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