Run an overnight agent that finds and scores sales leads each day and delivers a report to your local dashboard without manual effort.
Automatically clip a YouTube video into short vertical social media clips with captions using the built-in Clip Hand.
Set up a research agent that monitors a topic, builds a knowledge graph, and generates cited reports on a recurring schedule.
Installs as a single 32MB Rust binary, individual Hands may require API keys for the LLM or external services they use.
OpenFang is described as an open-source Agent Operating System: software for running autonomous AI agents that do work for you in the background instead of waiting for you to type a prompt. It is written in Rust and ships as a single binary of roughly 32MB, so installing and starting it is a one-line command that brings up a local dashboard. The README contrasts this with chatbot frameworks and multi-agent orchestrators that require heavier setups. The core idea is what the README calls Hands. A Hand is a pre-built capability package that bundles a configuration file (HAND.toml), a multi-step system prompt, a domain skill reference, and guardrails for approval gates. Once activated, a Hand runs on a schedule and reports results back to the dashboard. Seven Hands are bundled: Clip, which turns YouTube videos into vertical short clips with captions, Lead, which finds and scores sales prospects each day, Collector, which continuously monitors a target and builds a knowledge graph, Predictor, which makes forecasts with confidence intervals and tracks its own accuracy, Researcher, which produces cited reports across multiple sources, Twitter, which manages an X account with an approval queue, and Browser, which automates web tasks via a Playwright bridge and refuses to spend money without explicit confirmation. Someone would use OpenFang if they want agents that run on their own (for example overnight) rather than a chat interface. The stated stack is Rust, MIT-licensed, and the project is still pre-1.0 with breaking changes possible between minor versions. The full README is longer than what was provided.
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