
GAIR’s PC Agent is a research framework for learning and executing multi-step desktop work from human interaction data.
GAIR’s PC Agent is a research framework for learning and executing multi-step desktop work from human interaction data.
PC Tracker records interactions, a cognition-completion pipeline enriches those recordings, and planning and grounding agents execute computer tasks. The project demonstrates presentation and poster creation across applications.
Installation requires a Python environment, model deployment and task configuration. The Windows tracker collects demonstrations; people supply data, credentials and goals and review the resulting work.
The repository is MIT-licensed. Model/API use, hardware and maintenance still cost money; it is a research implementation rather than a hosted business subscription.
Cognition completion uses an OpenAI API key. The reference agent interacts with desktop applications through its configured environment; that does not establish native CRM, backup or business-system connectors.
Use this PC Agent for computer-use research and experimentation. It is unrelated to QNAP NetBak PC Agent and to other similarly named multi-agent projects.
Product overview
GAIR’s PC Agent is a research framework for learning and executing multi-step desktop work from human interaction data.
Information as of November 3, 2026
PC Tracker records interactions, a cognition-completion pipeline enriches those recordings, and planning and grounding agents execute computer tasks. The project demonstrates presentation and poster creation across applications.[1], [2]
Installation requires a Python environment, model deployment and task configuration. The Windows tracker collects demonstrations; people supply data, credentials and goals and review the resulting work.[1], [2]
Cognition completion uses an OpenAI API key. The reference agent interacts with desktop applications through its configured environment; that does not establish native CRM, backup or business-system connectors.[1], [2]
The repository is MIT-licensed. Model/API use, hardware and maintenance still cost money; it is a research implementation rather than a hosted business subscription.[1], [2]
Platforms: Developer-managed installation[1], [2]
Access: Installation requires a Python environment, model deployment and task configuration. The Windows tracker collects demonstrations; people supply data, credentials and goals and review the resulting work.[1], [2]
75/100
Our subjective rating of how independently the product carries out its documented tasks, considering the human setup, input, approval and review it needs. This is not a measured success rate.
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