Earshot is an open-source toolkit that gives coding agents practical access to audio understanding and sound creation. It ships as a command-line tool, Python API, and Model Context Protocol server, allowing compatible agents to inspect recordings, search for relevant moments, compare audio against text, and generate or fit procedural sound recipes. Developers building audio, video, or creative applications can use it to make sound part of an agent workflow instead of relying only on transcripts or external hosted services. Earshot is designed to run locally on CPU, which keeps media private and avoids per-request cloud inference, though its documented models require a substantial initial download. Its recent launch visibility reflects growing demand for multimodal agents that can work with sound as well as code and text.
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