trigger-tree provides local, zero-token documentation telemetry for AI coding agents. It reveals exactly which project docs your agent discovers and references during development tasks. Designed for developers building with agents like Claude Code, it offers observability without sending data externally.
trigger-tree is an AI & ML project. It focuses on understanding which project documentation an AI coding agent actually discovers and uses during tasks. trigger-tree is an open-source project aimed at developers. trigger-tree is open source under the MIT license. trigger-tree is available on the command line.
Behind trigger-tree is Hedde, and it first shipped in 2026. Development happens publicly on GitHub with 136 commits in the last 90 days. Among its 3 catalogued features are Documentation Telemetry, Agent Observability, and Zero-token Tracking.
Summary written by a language model from the project’s public pages.
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