AutoBot: Open-Source Voice Controller for Long-Running AI Agent Tasks

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A developer has released AutoBot, an MIT-licensed open-source tool designed to manage long-horizon AI workstreams through native voice commands. The project allows users to initiate tasks, monitor progress, and steer AI agents hands-free, while a local ledger tracks incomplete outputs and completion criteria. AutoBot stores data on encrypted local disk to support deep personalization while maintaining strict privacy, and uses a nightly learning consolidation process alongside a heartbeat system to persist execution. The tool was benchmarked on OSWorld, scoring 32.41%, and on AssistantBench, scoring 50.70%, without requiring virtual machines or significant setup overhead. The creator built it as a personal project to replicate a Jarvis-like assistant and has shared the code on GitHub, inviting others working on similar tools to collaborate.

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