local-ai-track is an open-source CLI tool that allows developers to monitor and track AI token usage and associated costs for coding assistants directly on their local machine. It is designed for developers who want privacy and transparency in their AI tool usage.
local-ai-track sits in PulseGate's LLM eval & observability category. It focuses on tracking and monitoring AI token usage and costs for coding assistants locally without cloud dependency. local-ai-track is an open-source project aimed at developers using AI coding assistants. The project is open source (MIT). local-ai-track is available on the command line.
Behind local-ai-track is ayushks1ngh, and the product first shipped in 2026. The project is developed in the open on GitHub with 2 commits in the last 90 days. Among its 5 catalogued features are token usage tracking, local operation, and cost estimation.
Latest indexed changes and source events
local-ai-track verified by the PulseGate indexer
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