Personal_LLM_Agents_Survey — AI Tool by MobileLLM

by MobileLLM · AI Tool · ★ 430

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About Personal_LLM_Agents_Survey

Personal LLM Agents - Survey This repo maintains a curated list of papers related to Personal LLM Agents. For more details, please refer to our paper or join our discussion group: Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Yuanchun Li, Hao Wen, Weijun Wang, Xiangyu Li, Yizhen Yuan, Guohong Liu, Jiacheng Liu, Wenxing Xu, Xiang Wang, Yi Sun, Rui Kong, Yile Wang, Hanfei Geng, Jian Luan, Xuefeng Jin, Zilong Ye, Guanjing Xiong, Fan Zhang, Xiang Li, Mengwei Xu, Zhijun Li, Peng Li, Yang Liu, Ya-Qin Zhang, Yunxin Liu [[arxiv]](https://arxiv.org/abs/2401.05459) [[pdf]](https://yuanchun-li.github.io/static/files/personalllmagents.pdf) [[cite]](#citation) [[discuss (zulip)]](https://mobilellm.zulipchat.com/join/b2f35obsz5jafttpqs4sixwa/) Personal LLM Agents are defined as a special type of LLM-based agents that are deeply integrated with personal data, personal devices, and personal services. They are perferably deployed to resource-constrained mobile/edge devices and/or powered by lightweight AI models.

Quick Facts

Stars430
Forks25
CategoryAI Tool
Quality Score43.116239246217/100
Open Issues1
Last Updated2026-06-27
Created2024-01-08
Est. Tokens~25k

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Frequently Asked Questions

What is Personal_LLM_Agents_Survey?

Personal_LLM_Agents_Survey is Paper list for Personal LLM Agents. It is categorized as a AI Tool with 430 GitHub stars.

How do I install or use Personal_LLM_Agents_Survey?

You can find installation instructions and usage details in the Personal_LLM_Agents_Survey GitHub repository at github.com/MobileLLM/Personal_LLM_Agents_Survey. The project has 430 stars and 25 forks, indicating an active community.

What are the best alternatives to Personal_LLM_Agents_Survey?

The top alternatives to Personal_LLM_Agents_Survey on Agent Skills Hub include claudekit-skills, EDRSilencer, .github. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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