Saaket Agashe

Curriculum Vitae
Google Scholar
Email Address
GitHub Profile
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I am a second-year Ph.D. student at UC Santa Cruz, advised by Professor Xin (Eric) Wang. I previously earned an M.S. in Computer Science from UC Santa Cruz and a B.Tech. in Electronics Engineering from VJTI Mumbai.

My research centers on building AI agents that can plan over long horizons, adapt to new environments, and collaborate effectively with humans and other agents. I focus on:

  • Long-Horizon Planning — Designing algorithms that enable agents to reason and act in partially observable environments to complete long-horizon tasks [1, 2, 3]
  • Multi-Agent Cooperation & Alignment — Analyzing and improving how agents coordinate and stay aligned with human goals [2, 4, 6]
  • Language Grounding — Linking natural-language to visual or GUI contexts so agents can perceive, localize, and act [1, 3, 5]

For more details, check out my CV or drop me an email.

Announcements

Research

[1] Agent S2: A Compositional Generalist-Specialist Framework for Computer Use Agents
Saaket Agashe, Kyle Wong, Vincent Tu, Jiachen Yang, Ang Li, Xin Eric Wang
COLM 2025
Description: Agent S2 is a compositional framework for computer use agents that delegates cognitive responsibilities across various generalist (planning) and specialist (grounding) models.
Website Paper Code

[2] Self-Resource Allocation in Multi-Agent LLM Systems
Alfonso Amayuelas, Jingbo Yang, Saaket Agashe, Ashwin Nagarajan, Antonis Antoniades, Xin Eric Wang, William Wang
Preprint
Description: We study how LLM-based agents allocate tasks in multi-agent systems, comparing planner and orchestrator strategies for efficiency, validity, and agent utilization.
Paper

[3] Agent S: An Open Agentic Framework that Uses Computers Like a Human
Saaket Agashe, Jiuzhou Han, Shuyu Gan, Jiachen Yang, Ang Li, Xin Eric Wang
ICLR 2025
Description: Developed Agent S, an advanced OS-level GUI automation system that integrates experience-based learning, web retrieval, and hierarchical planning for efficient task execution, achieving state-of-the-art performance in the OSWorld benchmark..
Website Paper Code

[4] LLM-Coordination: Evaluating and Analyzing Multi-agent Coordination Abilities in Large Language Models
Saaket Agashe, Yue Fan, Anthony Reyna, Xin Eric Wang
Findings of NAACL 2025
Description: Introduced the LLM-Coordination Benchmark and conducted a comprehensive analysis of LLMs in Pure Coordination Games.
Website Paper Code

[5] Athena 3.0: Personalized multimodal chatbot with neuro-symbolic dialogue generators
UCSC Team Athena
Alexa Prize SGC5
Description: Entry to Alexa Prize Social Bot Grand Challenge that earned second place in scientific innovation category
Website Paper

[6] Localization using Spatial Descriptions
Saaket Agashe, Xin Eric Wang
Description: Visually grounding Spatial Descriptions to a single point in an image based on descriptions of objects in the neighborhood of the point.
Code

[7] Interacting with Next-Phrase Suggestions: How Suggestion Systems Aid and Influence the Cognitive Processes of Writing
Advait Bhat, Saaket Agashe, Niharika Mohile, Parth Oberoi, Ravi Jangir, Anirudha Joshi
IUI 2023
Best Paper Honourable Mention
Description: Exploratory qualitative study to understand how writers interact with next-phrase suggestions.
Code Paper

[8] How do people interact with biased text prediction models while writing?
Advait Bhat, Saaket Agashe, Anirudha Joshi
HCI+NLP Workshop, EACL 2021
Description: Pilot study to understand how people interact with next phrase suggestion system.
Code Paper

[9] Perception and Motion Planning for Autonomous mobile manipulator
Saaket Agashe, Akshay Paralikar, Shweta Kumaran, Shambhavi Kuthe, Aditya Gawali, Hiten Kothari, Shashank Deshmukh, Faruk Kazi
Description: Develop a functional autonomous mobile manipulator for testing algorithms developed in simulation in the real world.
Code