# Towards Computer-Using Personal Agents

arXiv: https://arxiv.org/abs/2503.15515 · HTML: https://mlsanity.com/paper/2503.15515/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 14 of its 67 references that are in the map.
- First posted on arXiv 31 Jan 2025.

## Builds on (most cited first, 14 of 14)

- [Language Models can Solve Computer Tasks](https://mlsanity.com/paper/2303.17491/) (2023)
- [InterCode: Standardizing and Benchmarking Interactive Coding with Execution Feedback](https://mlsanity.com/paper/2306.14898/) (2023)
- [Agent-E: From Autonomous Web Navigation to Foundational Design Principles in Agentic Systems](https://mlsanity.com/paper/2407.13032/) (2024)
- [Authenticated Delegation and Authorized AI Agents](https://mlsanity.com/paper/2501.09674/) (2025)
- [Beyond Preferences in AI Alignment](https://mlsanity.com/paper/2408.16984/) (2024)
- [Trust in AI: Progress, Challenges, and Future Directions](https://mlsanity.com/paper/2403.14680/) (2024)
- [An Ecosystem for Personal Knowledge Graphs: A Survey and Research Roadmap](https://mlsanity.com/paper/2304.09572/) (2023)
- [AGENTiGraph: An Interactive Knowledge Graph Platform for LLM-based Chatbots Utilizing Private Data](https://mlsanity.com/paper/2410.11531/) (2024)
- [Personal Data: Thinking Inside the Box](https://mlsanity.com/paper/1501.04737/) (2015)
- [Personal Research Knowledge Graphs](https://mlsanity.com/paper/2204.11428/) (2022)
- [Machine Understandable Policies and GDPR Compliance Checking](https://mlsanity.com/paper/2001.08930/) (2020)
- [Here's Charlie! Realising the Semantic Web vision of Agents in the age of LLMs](https://mlsanity.com/paper/2409.04465/) (2024)
- [Real Time Reasoning in OWL2 for GDPR Compliance](https://mlsanity.com/paper/2001.05390/) (2020)
- [Me want cookie! Towards automated and transparent data governance on the Web](https://mlsanity.com/paper/2408.09071/) (2024)

## Abstract (arXiv)

Computer-Using Agents (CUA) enable users to automate increasingly-complex tasks using graphical interfaces such as browsers. As many potential tasks require personal data, we propose Computer-Using Personal Agents (CUPAs) that have access to an external repository of the user's personal data. Compared with CUAs, CUPAs offer users better control of their personal data, the potential to automate more tasks involving personal data, better interoperability with external sources of data, and better capabilities to coordinate with other CUPAs in order to solve collaborative tasks involving the personal data of multiple users.