
Give AI agents a better way to use computers
AI agents need better computer tools, not just better models. Agent Interface is an open-source layer built to cut repeated screenshots, model calls, and waiting. It reuses learned interactions, runs action-and-feedback loops locally, and asks the model when fresh judgment is needed. Start with the runnable desktop research preview, and follow the Astra/Freedoom experiments exploring control in a world that doesn't pause while AI thinks.
Agent Interface is an open-source layer designed to enhance AI agents' interaction with computers by streamlining processes and reducing latency. It enables the reuse of learned interactions and local execution of action-and-feedback loops, with a focus on improving efficiency in AI operations.
A source that found nothing is a measurement. A source that has not run is a gap. Neither means the launch lacks the thing.